SlideShare a Scribd company logo
1 of 60
Download to read offline
Standard Banners –
            Non-Standard Results




Who said that Standard Banners mean mediocre results?
Try these 4 simple steps to drive performance and boost traffic.


    retweet this




MediaMind Global Benchmark Report
4 rules of success with
    Standard Banners


1   Match the media and the message
    Sites with focused content achieve better CTR and Conversion Rate
    as compared to more general sites with a diverse audience. Aligning
    media content with your advertising message may boost response.




2   Bigger is better
    Larger Standard Banners perform better than smaller ones. Larger
    banners increase visibility over the publisher’s content and yield more
    clicks and conversions. Get more real estate on the page for better
    performance.




3   Let the algorithms work for you
    Automatic optimization, a proprietary algorithm by MediaMind that
    selects and serves the best performing creative, boosts CTR by 73%
    and Conversion Rate by 40%. Serving the most impactful creative is
    more likely to push users to take action.




4   Retarget the underexposed
    Users are more likely to click on ads that they have already seen, yet the
    majority of users see a given campaign only once. Make sure to provide
    users with sufficient exposures by retargeting underexposed users.
Content

4    Maximizing standard banner results

     5 The good news: CTR stopped declining

     7 Not everyone clicks

8    The four rules of success

     8 Focused content

     9 Larger ads

     10 Automatic Creative Optimization

     11 Retargeting the underexposed

13   Benchmarks Overview

15   Regional benchmark tables
     North America                     15   East Asia     18
     Europe                            16   South Asia 19
     Australia and New Zealand         17   Latin America 20

21   Country benchmark tables
     Argentina   21        France      31   Mexico         41   Spain           51
     Australia   22        Germany     32   Netherlands    42   Sweden          52
     Austria     23        Greece      33   New Zealand    43   Switzerland     53
     Belgium     24        Hong Kong   34   Norway         44   Taiwan          54
     Brazil      25        India       35   Philippines    45   Thailand        55
     Canada      26        Ireland     36   Poland         46   Turkey          56
     China       27        Israel      37   Portugal       47   UK              57
     Denmark     28        Italy       38   Romania        48   United States   58
     UAE         29        Japan       39   Singapore      49
     Finland     30        Malaysia    40   South Africa   50


59   Verticals definitions

60   Metrics definitions
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results


Maximizing Standard Banner results
Easy, low cost and gets the job done. These are some             Furthermore, the format cannot deliver a full interactive
of the traits that keep Standard Banners as the popular          experience the way Rich Media can. Nevertheless, even
choice for online advertisers. Standard Banners still comprise   with this simple format, there are still ways to improve
the majority of online advertising impressions.                  and entice users to click and browse to the advertiser’s
                                                                 website.
Standard Banners are easy to create and relatively
straightforward to serve. Unlike Rich Media, they lack video     A careful analysis of billions of Standard Banner impressions
or interaction within the banner, so they are used mainly        has shown that the following four simple steps may
to generate traffic to the advertiser’s website, where users     increase the performance of Standard Banners.
can obtain more information about the brand or make a            First, use sites with focused content rather than more
purchase. Thus, many advertisers use Standard Banners            general environments. Use larger banners for more
for Direct Response campaigns, where the aim is to drive         visibility. Leverage Automatic Optimization to serve
sales.                                                           the best performing creative to your audience and get
                                                                 more traffic. Last, get in front of your prospects more
Typically, Standard Banners generate less clicks and
                                                                 often by increasing frequency and retarget them on
conversions as compared to Rich Media formats.
                                                                 the exchanges.




                                                                                                                            4
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results

The good news: CTR stopped declining
When the first display banners appeared in the 90’s, they were                                             analysis of CTR of Standard Banners indicates that average CTR
greeted by users with a significantly higher Click Through Rate                                            declined from 0.15% in 2006 to 0.09% in 2010. Yet, in 2009
(CTR) as compared to today’s CTR. Display advertising is the fuel                                          and 2010 this decline seems to have stopped. Both in 2009
that turns the Internet’s content machine and allows publishers to                                         and the first eight months of 2010, Average CTR has remained
provide free online content to users. However, as online advertising                                       around 0.09%. This indicates that online advertising performance
developed and grew in spending and also in sophistication, CTR                                             has reached equilibrium.
declined.
                                                                                                           What caused this decline in CTR in the first place? Evidence shows
Chart 1 indicates that while the trend of decline in CTR began                                             that the success of online advertising has paradoxically been the
long ago, the greatest decline has been around September 2008.                                             prime cause for the decline in CTR performance. As more budgets
That month, Lehman Brothers collapsed, taking with it the world                                            were poured into display, users were exposed to more and more
economy. This had an adverse effect on users’ willingness to click                                         ads. However, the number of ads that a user clicked on did not
on ads.                                                                                                    catch up with the number of ads that a user was exposed to, thus
                                                                                                           reducing the overall CTR.
The good news is that this decline seems to have halted. An




                                                                               Chart 1: 2006-2010 CTR

                          0.23%
                          0.21%
                          0.19%
     Click Through Rate




                          0.17%
                          0.15%
                          0.13%
                          0.11%
                          0.09%
                          0.07%
                          0.05%
                                  Jul-06

                                           Oct-06

                                                    Jan-07

                                                             Apr-07

                                                                      Jul-07

                                                                                Oct-07

                                                                                         Jan-08

                                                                                                  Apr-08

                                                                                                             Jul-08

                                                                                                                       Oct-08

                                                                                                                                Jan-09

                                                                                                                                         Apr-09

                                                                                                                                                  Jul-09

                                                                                                                                                           Oct-09

                                                                                                                                                                    Jan-10

                                                                                                                                                                             Apr-10

                                                                                                                                                                                      Jul-10




                                                                                    Global CTR                        Annual Average CTR

Source: MediaMind Research. Data: 2006-2010, Standard Banners, Worldwide.




Imagine that you are exposed to one thousand ads each year, and that you click on five of them. Your CTR is 0.5%. Imagine now that
you are exposed to five thousand ads; you are probably not going to keep clicking at the same vigor, so instead of 25 clicks, you only
click on 20 ads. Therefore your CTR is now only 0.4%. Thus, as users are exposed to more ads, their CTR drops.




                                                                                                                                                                                               5
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results


This phenomenon is best illustrated when examining the link between CTR and average display spending per household in different
countries. The average display spending per household serves as a proxy to the number of ads that a person sees over
the year1. The analysis shows that as more money flows into display advertising and as people are exposed to more display ads, CTR
declines. Thus, countries like Norway, USA and the UK, with higher online display spend per household tend to have a lower CTR.
Countries such as Mexico, Russia and South Africa, with lower display spending per household, tend to have a higher CTR.


                                                                   Chart 2: Display Spending and CTR


                                 0.22%
                                                       South Korea

                                 0.20%                 Colombia


                                 0.18%                                             Finland
                                                                                Poland
                                         Argentina
                                             Romania
            Click Through Rate




                                 0.16%
                                           Thailand                                          Belgium
                                          Malaysia
                                 0.14%      Mexico
                                         South Africa Russia
                                                           Israel
                                 0.12%        Brazil                                 Switzerland
                                                       Singapore
                                                                    Spain
                                               China Denmark                       Netherlands                  Japan
                                          Portugal                   Ireland Austria
                                 0.10%   Philippines                                                       UK
                                                                 France                 Germany
                                                 Turkey Italy Hong Kong
                                                      Greece Hungary
                                 0.08%     Chile
                                                    Taiwan
                                                                            New Zealand      Canada                          Norway
                                                                                                                     USA
                                 0.06%

                                                                                                         Australia
                                 0.04%


                                 0.02%

                                 0.00%
                                         $0            $20           $40          $60         $80       $100          $120   $140
                                                                            Display Spending per Internet Household

Source: MediaMind Research. Data: Q3 2009 to Q3 2010, Standard Banners, Worldwide.
PwC. 2010 “Internet Household”, 2010 “Global Internet Display, Classified, Other Advertising’. Global Entertainment and Media Outlook: 2010-2014.



One interesting point is that English speaking former British colonies, such as Australia, Canada, US and New Zealand, tend to have a
lower CTR than what the trend predicts. These are some of the most advanced online advertising markets. Still, users in these countries
tend to click on ads less than countries with similar display spending per household. The UK itself, worth noting, is slightly above the
trend.




1
    This can change according to the cost of media at various countries.
                                                                                                                                               6
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results


Not everyone clicks                                                                            Chart 4: Post Click and Post
                                                                                                Impression Conversions
The popularity of measuring CTR stems from it being one of
the first online metrics as well as it being intuitive and easy to
measure. Nonetheless, CTR is only a partial measure of online
success. Both industry research and comparison with other online                                                       20.4%
metrics show that CTR does not capture the full effect of online
display advertising.
Research by comScore has shown that two-thirds of Internet users                                          79.6%
do not click on any display ads over the course of a month and
that only 16% of Internet users account for 80% of all clicks. It
also showed that clickers tend to be younger and less affluent than
non-clickers. comScore confirmed that there is a latency effect
and branding effect to online advertising, in which users arrive
                                                                                           Post Click Conversions             Post Impression
at the advertiser’s website even without clicking.                                                                            Conversions
However, the research by comScore also indicates that display
                                                                                 Source: MediaMind Research. Data Q3 2009 to Q2 2010, Standard Banners,
advertising has an effect on user behavior even at low click through
                                                                                 worldwide.
rates. In the research, which included 139 display campaigns from
seven verticals, comScore has shown substantial effects on traffic,              MediaMind has found similar results to comScore. An analysis of
sales and branding despite a lack of clicks.                                     more than 100 million conversions from thousands of campaigns
                                                                                 worldwide confirms that only about 20% of conversions are the
                             Chart 3: The Effect of Display Advertising          result of a click, while the vast majority is the result of viewing
                                                                                 the banner without clicking.
                              50%
                                                                                 These results, together with comScore’s research show that clicks
                              45%
                                                                                 are only a partial measure of online advertising effectiveness.
                              40%
    Lift Exposed/Unexposed




                                                                                 About 80% of the traffic of users that were exposed to the ads is
                              35%                                                not accounted for when measuring only clicks. Placing conversion
                              30%                                                tags on the site is a smart move for better measurement of an
                              25%                                                online campaign.
                              20%
                              15%
                              10%
                               5%
                               0%
                                    Advertiser   Branded    Online     Offline
                                     Website     Keyword   Purchase   Purchase
                                      Visits      Search

Source: comScore. “How Online Advertising Works: Whither The Click?”

According to comScore, the display campaigns yielded 46% lift
in advertiser websites visits, over a four week period. In addition,
exposed users are 38% more likely to conduct an advertiser
related branded keyword search, over a four week period and
are 27% more likely to make a purchase online. Furthermore,
exposed users are 17% more likely to make a purchase at the
advertiser’s retail store.2

2
    comScore. “How Online Advertising Works: Whither The Click?”
    Available at: http://www.mediametrix.com/Press_Events/Presentations_Whitepapers/2008/How_Online_Advertising_Works_Whither_The_Click
                                                                                                                                                     7
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results


The 4 rules of success
Obviously, great results call for exciting and visible creative, eye-catching images, witty copy and a powerful call to action. Getting these
things right is the aim of the creative agency. Yet, these are campaign-specific qualities, which are hard to generalize. Nevertheless,
there are some other rules of thumb that are likely to enhance the performance of almost any Standard Banner. MediaMind Research
has sifted through hundreds of thousands of banners to see what works and what doesn’t.



1        Focused content – superior results
         Browsing specific content is a powerful indicator of user’s areas of interest. For example, visitors of automotive websites are
         more likely to be looking for a new vehicle, or visitors of a tech site are more likely to be early adopters of new gadgets.
         In direct response, serving an ad to users exactly when they show interest in a product may be a powerful way to boost


                                           Chart 5: Standard Banner Performance by Environment




                                                                              Kids
                               0.35%



                               0.30%
          Click Through Rate




                               0.25%



                               0.20%

                                                           IM

                               0.15%                    Finance                                     Technology

                                                Music                                                                 Maps
                                                                                                     Travel                  Auto
                                                                     Home Page Games
                                                    Entertainment     Mail                Weather
                               0.10% Average
                                                     Sport            Other          Health and Beauty
                                       Social Network    Lifestyle
                                                                                            News
                               0.05%                                 Average
                                         0.10%            0.15%           0.20%             0.25%             0.30%          0.35%

                                                                          Conversion Rate


Source: MediaMind Research. Data Q3 2009 to Q2 2010, Standard Banners, worldwide.

Chart 5 analyzes Conversion Rate, x-axis, and CTR, y-axis, by site groups and environments. Groups at the upper right quarter of the
chart are both higher than average Conversion Rate and higher than average CTR. These higher performing sites contain focused content
such as automotive, technology and travel. On the other hand, more general environments such as social networks and lifestyle tend
to have lower Conversion Rate and CTR.


                                                                                                                                           8
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results



2         Larger ads – higher traffic

          In Rich Media, visibility stems from various creative features such as the use of flash and video. For Standard Banners, visibility
          is largely determined by the size of the banner. Bigger online real estate yields higher visibility and increases the likelihood
          that users click or convert after seeing an ad. Chart 6 shows that larger Standard Banners tend to achieve both a higher
          Conversion Rate and a higher CTR.

                                                          Chart 6: Standard Banner Ad Size and Performance

                                  1.2%                                                                                                                                                                                                   350,000

                                  1.0%                                                                                                                                                                                                   300,000
            CTR/Conversion Rate




                                                                                                                                                                                                                                         250,000
                                  0.8%




                                                                                                                                                                                                                                                   Size (Pixels)
                                                                                                                                                                                                                                         200,000
                                  0.6%
                                                                                                                                                                                                                                         150,000
                                  0.4%
                                                                                                                                                                                                                                         100,000

                                  0.2%                                                                                                                                                                                                   50,000

                                  0.0%                                                                                                                                                                                                   0
                                         88x31
                                                 120x90
                                                          234x60
                                                                   160x90
                                                                            125x125
                                                                                      300x60
                                                                                               429x43
                                                                                                        180x150
                                                                                                                  468x60
                                                                                                                           300x100
                                                                                                                                      250x250
                                                                                                                                                728x90
                                                                                                                                                         120x600
                                                                                                                                                                   300x250
                                                                                                                                                                             336x280
                                                                                                                                                                                       160x600
                                                                                                                                                                                                 930x180
                                                                                                                                                                                                           300x600
                                                                                                                                                                                                                     425x600
                                                                                                                                                                                                                               640x480


                                                    Click Through Rate                                                               Conversion Rate                                                           Size (Pixels)

Source: MediaMind Research. Data Q3 2009 to Q2 2010, Standard Banners, worldwide.




                                                                                                                                                                                                                                                                   9
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results



3         Automatic Creative Optimization – improved sales generation

          Creative Optimization enables advertisers to leverage the wisdom of the crowds to find better creatives that engage users. By
          constantly comparing the results from each version of the ad, Creative Optimization will serve the most effective ads.
          It is a learning algorithm that receives constant feedback from actions that users take while interacting with the ad. The
          algorithm changes the creative depending on the users’ feedback and can display the versions of creatives that are more likely
          to receive clicks, conversions, interactions or Dwell.
          Creative Optimization assists advertisers who don’t have to guess which creative is better or which image, copy, or font to
          consider. Advertisers can upload all of their creative ideas and let the algorithm serve the versions that users respond to the
          most.
          Creative Optimization can even differentiate between minute differences among similar versions. Imagine two calls to action:
          “Click here for a one dollar discount” and “Click here for 10% discount.” Even if the two are financially equivalent, one may be
          able to generate more clicks. Without Creative Optimization, by the time you choose the right version that works the best, it
          may be too late to make any significant impact on the campaign’s overall performance. However, with Creative Optimization,
          the algorithm can select the most effective version in real time. Advertisers can then reduce the risk of running unsuccessful
          creatives, and take a bolder and more innovative approach to online advertising.



                                            Chart 7a & 7b: Creative Optimization


                               CTR                                                                      Conversion Rate
          0.14%                                                                                 0.18%

          0.12%                                                                                 0.16%
                           +73%                                                                 0.14%       +40%
          0.10%
                                                                              Conversion Rate




                                                                                                0.12%
          0.08%
                                                                                                0.10%
    CTR




          0.06%                                                                                 0.08%
                                                                                                0.06%
          0.04%
                                                                                                0.04%
          0.02%
                                                                                                0.02%
          0.00%                                                                                 0.00%
                          Other              Automatic                                                     Other       Automatic
                                            Optimization                                                              Optimization



Source: MediaMind Research. Data Q3 2009 to Q2 2010, Standard Banners, worldwide.



   Results indicate that Creative Optimization actually works. An analysis of campaigns that used Creative Optimization in the past year
   indicates that they achieved 73% increase in CTR as compared to other Standard Banners and a 40% increase in Conversion Rate.




                                                                                                                                       10
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results



4        Retargeting the underexposed – getting your message across

         Effective frequency is the average number of times that the prospect is exposed to the message to maximize the likelihood
         that he or she takes action. In practice, effective frequency means that users have to be exposed to the marketing message
         several times before going down the marketing funnel to the intent to purchase and ultimately to a purchase. At the first and
         second exposure, users are typically still in the awareness phase and only after more exposures do they slide down the funnel
         to favorability, intent to purchase and finally purchase.
         At first glance, repetition may seem wasteful – why waste another impression on a user who did not respond the first time?
         However, it is the underexposure and overexposure that are actually wasteful. Underexposed users remain at the top of the
         funnel and may not take action following the marketing message, preventing the campaign from realizing its full potential.
         Overexposed users have seen enough exposures to act on the message and any additional impression may not have incremental
         effect, or worse, it may actually annoy users.


                                          Chart 8: Airline CTR by Frequency - Standard Banners

                                  0.25%


                                  0.20%
             Click Through Rate




                                            Average
                                  0.15%


                                  0.10%


                                  0.05%


                                  0.00%
                                           1             2                3               4                 5
                                                               Frequency of Exposure


Source: MediaMind Reaserch. Data Q4 2008 to Q3 2009, Airlines, Worldwide.


As Chart 8 indicates, users are more likely to click on an ad that they have already seen. In addition, CTR almost does not decline until
the fifth exposure. The challenge is that studies by MediaMind Research show over and over again that the majority of online users are
underexposed. An analysis of hundreds of airline campaigns served by MediaMind show that an average 61% of users received only
one exposure over the campaign’s lifetime, while an overwhelming majority of 82% of users received three impressions or less.




                                                                                                                                      11
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results

       Chart 9: Average Frequency in Airline
            Campaigns by Cookie Data
                                                                            This problem is exacerbated by the difficulty of increasing exposure
                                                                            frequency via traditional media buying. Online users are highly
                                                                            unpredictable, and browsing patterns change constantly. Throwing
                               3       4
                     2                                                      more impressions at the problem may be wasteful and expensive,
                                           5 or More
                                                                            as it increases frequency to some, but more likely reaches new
                                                                            users and actually creates more underexposed users.

                                   1                                        Enter Retargeting. In Retargeting, users who were previously exposed
                                                                            to the campaign, and are now located on a site linked to the exchange
                                                                            can be served another exposure. This is a user specific solution that
                                                                            serves impressions only to those users who are underexposed, to
                                                                            make sure that they have the opportunity to go down the funnel,
                                                                            thus complementing the traditional media buy.
Source: MediaMind Research. Data Q4 2008 to Q3 2009, Airlines, Worldwide.




                                                                                                                                              12
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results


Benchmarks Overview
The following benchmark tables provide a summary of the results of campaigns that were served by MediaMind between Q3 2009 and
Q2 2010. To produce these benchmarks, MediaMind Research analyzed the results of over 200 billion impressions delivered in six different
regions and more than 50 different countries.

                                              Chart 10: Standard Banner and Rich Media by Region

                             0.60%


                             0.50%
        Click Through Rate




                             0.40%


                             0.30%


                             0.20%


                             0.10%


                             0.00%
                                     Australia and    North       East Asia     South Asia     Europe     Latin America
                                     New Zealand     America


                                 Rich Media          Standard Banner          Rich Media Average        Standard Banner Average


Source: MediaMind Research. Data Q3 2009 to Q2 2010.

Overall global CTR is 0.21%. Rich Media tends to be X3.5 higher CTR as compared to Standard Banners—0.32% as compared to 0.09%.
As far as regional differences are concerned, there is a clear rule of thumb. If you are a former English speaking British colony, your CTR
and Dwell are likely to be lower. Thus, the US, Canada, Australia and New Zealand have lower CTR performance as compared to other
regions. This is mainly due to differences in user behavior and market maturity.




                                                                                                                                        13
MediaMind Global Benchmark Report
Standard Banners – Non-Standard Results


                                                    Chart 11: Regional Rich Media Performance




                                     60
                                                                                                                 Latin America


                                     55
          Average Dwell Time (Sec)




                                     50
                                                                North America


                                                                                     Europe   South Asia
                                     45
                                                                         East Asia




                                     40
                                                         Australia and New Zealand



                                     35



                                     30
                                          0%   2%            4%              6%                8%          10%              12%
                                                                            Dwell Rate


Source: MediaMind Research. Data Q3 2009 to Q2 2010.



Latin America, South Asia and Europe tend to have the highest Dwell Rate, while Latin America also has the highest Average Dwell
Time. Europe tends to have a significantly higher Dwell Rate as compared to North America, Australia and New Zealand, mostly due to
differences in user behavior, though in part could be seen in differences in current publisher restrictions.
The benchmark tables contain benchmark averages on interactions, Dwell, clicks, expansions and video metrics. Data is broken down
by formats, sizes and verticals. The next 46 pages contain information on 6 regions and 38 countries. The last two pages contain a full
description of each vertical and a definition for each of the metrics used.
One important caveat about using these benchmarks is that they only present the average performance, while the deviation in performance
between ads is very large. We have tried to slice the data into as many categories as possible in order to assist users in finding the most
relevant benchmarks. Still, the averages contain campaigns that are different in their nature, goals and execution. Therefore, these
benchmarks should be used as a reference only, and not with the aim of trying to “beat the benchmark.”

                                                                                                                                 retweet this




                                                                                                                                            14

                                                                                                                  

                                                                                                                                                                                                                           
                                                                                                                                                                                                                                     
                                                                                                                                                                                                    
                                                                                                                                                
                                                                                                                                                                                                                                           
                                                                                                                                                                                                                                                   
                                                                                                                                                                                                                                                    
                                                                                                                                                                                                                                                   
                 
                                                                                                                                                                                                                                
                                                                                                                                                                                                              
                                                                                                                                                                                                                        
                                                                                                                                                                                                                         
                                                                                                                                                                                                                        
                                                                                                                                                                                                               
                                                                                                                                                                                                                          




     
                                                                                                                                                                                                                        
                                                                                                                                                                                                                                         
                                                                                                                                                                                                                                                                                                                                                                     MediaMind Global Benchmark Report




                                                                                                                                                                                                                        
                                                                                                                                                                                                                              
                                                                                                                                                                                                                               
                                                                                                                                                                                                                              
                                                                                                                                                                                                               
                                                                                                                                                                                                                         
                                                                                                                                                                                                                           
                                                                                                                                                                                                                          
                                                                                                                                                                             
                                                                                                                                                
                                                                                                                                                                                                                    
                                                                                                                                                                                                                        
                                                                                                                                                                                                                        
                                                                                                                                                                                                                       
                                                                                                                                                                                                                                                                                                                           Standard Banners – Non-Standard Results




                                                                                                                                                                                                    
                                                                                                                                                                                                                  
                                                                                                                                                                                                               
                                                                                                                                                                                                              
                                                                                                                                                                                                                   
                                                                                                                                                                                                                     
                                                                                                                                                                                                       
                                                                                                                                                                                                               




     
                                                                                                                                                                                                                    
                                                                                                                                                                                                                           
                                                                                                                                                                                                                 
                                                                                                                                                                                                                     
                                                                                                                                                                                                                    
                                                                                                                                                                                                                  
                                                                                                                                                                                                               
                                                                                                                                                                                                                     
                                                                                                                                                                                                                     
                                                                                                                                                                                                                                                                                               Regional benchmark tables




                                                      
                                                
                                                              



                                                                                                                                  
                                                                                                                




15

                                                                                                                   

                                                                                                                                                                                                                                      
                                                                                                                                                                                                                                              
                                                                                                                                                                                                              
                                                                                                                                                          
                                                                                                                                                                                                                                                     
                                                                                                                                                                                                                                                             
                                                                                                                                                                                                                                                              
                                                                                                                                                                                                                                                             
                 
                                                                                                                                                                                                                                             
                                                                                                                                                                                                                       
                                                                                                                                                                                                                                  
                                                                                                                                                                                                                                  
                                                                                                                                                                                                                                
                                                                                                                                                                                                                        
                                                                                                                                                                                                                                     




     
                                                                                                                                                                                                                     
                                                                                                                                                                                                                                 
                                                                                                                                                                                                                                                                                                                                                   MediaMind Global Benchmark Report




                                                                                                                                                                                                                                       
                                                                                                                                                                                                                                         
                                                                                                                                                                                                                                        
                                                                                                                                                                                                                         
                                                                                                                                                                                                                                
                                                                                                                                                                                                                                      
                                                                                                                                                                                                                                   
                                                                                                                                                                                       
                                                                                                                                                          
                                                                                                                                                                                                                            
                                                                                                                                                                                                                                 
                                                                                                                                                                                                                                 
                                                                                                                                                                                                                                       
                                                                                                                                                                                                                                                                                                         Standard Banners – Non-Standard Results




                                                                                                                                                                                                             
                                                                                                                                                                                                                           
                                                                                                                                                                                                                          
                                                                                                                                                                                                                       
                                                                                                                                                                                                                            
                                                                                                                                                                                                                               
                                                                                                                                                                                                                 
                                                                                                                                                                                                                       




     
                                                                                                                                                                                                                             
                                                                                                                                                                                                                              
                                                                                                                                                                                                                           
                                                                                                                                                                                                                              
                                                                                                                                                                                                                           
                                                                                                                                                                                                                              
                                                                                                                                                                                                                        
                                                                                                                                                                                                                             
                                                                                                                                                                                                                               



                                                      
                                                
                                                              



                                                                                                                                   
                                                                                                                 




16
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010
Media Mind Global Benchmark Q4 2010

More Related Content

More from nich_marketing

B2 b content_marketing_2012
B2 b content_marketing_2012B2 b content_marketing_2012
B2 b content_marketing_2012nich_marketing
 
Re-Activation Razorfish
Re-Activation RazorfishRe-Activation Razorfish
Re-Activation Razorfishnich_marketing
 
2011 fall lookbook_102711
2011 fall lookbook_1027112011 fall lookbook_102711
2011 fall lookbook_102711nich_marketing
 
Winterberry outlook 2012
Winterberry outlook 2012Winterberry outlook 2012
Winterberry outlook 2012nich_marketing
 
2011 digital-marketer-1
2011 digital-marketer-12011 digital-marketer-1
2011 digital-marketer-1nich_marketing
 
Booz co campaigns-to-capabilities-social-media-and-marketing-2011
Booz co campaigns-to-capabilities-social-media-and-marketing-2011Booz co campaigns-to-capabilities-social-media-and-marketing-2011
Booz co campaigns-to-capabilities-social-media-and-marketing-2011nich_marketing
 
Abercrombie.and.fitch.catalog.back.to.school.2003
Abercrombie.and.fitch.catalog.back.to.school.2003Abercrombie.and.fitch.catalog.back.to.school.2003
Abercrombie.and.fitch.catalog.back.to.school.2003nich_marketing
 
Media analyzer article-adweek-does-sex-really-sell-2005
Media analyzer article-adweek-does-sex-really-sell-2005Media analyzer article-adweek-does-sex-really-sell-2005
Media analyzer article-adweek-does-sex-really-sell-2005nich_marketing
 
Vl plus-storyboard-smmp-rev3
Vl plus-storyboard-smmp-rev3Vl plus-storyboard-smmp-rev3
Vl plus-storyboard-smmp-rev3nich_marketing
 
Welcome Email Best Practices, Silverpop
Welcome Email Best Practices, SilverpopWelcome Email Best Practices, Silverpop
Welcome Email Best Practices, Silverpopnich_marketing
 
Tbg digital q2_2011_global_facebook_marketing_report
Tbg digital q2_2011_global_facebook_marketing_reportTbg digital q2_2011_global_facebook_marketing_report
Tbg digital q2_2011_global_facebook_marketing_reportnich_marketing
 

More from nich_marketing (20)

Ideas
IdeasIdeas
Ideas
 
B2 b content_marketing_2012
B2 b content_marketing_2012B2 b content_marketing_2012
B2 b content_marketing_2012
 
Marketolog Pocketbook
Marketolog PocketbookMarketolog Pocketbook
Marketolog Pocketbook
 
Re-Activation Razorfish
Re-Activation RazorfishRe-Activation Razorfish
Re-Activation Razorfish
 
2011 fall lookbook_102711
2011 fall lookbook_1027112011 fall lookbook_102711
2011 fall lookbook_102711
 
Soda survey
Soda surveySoda survey
Soda survey
 
Winterberry outlook 2012
Winterberry outlook 2012Winterberry outlook 2012
Winterberry outlook 2012
 
Dominomaniya
DominomaniyaDominomaniya
Dominomaniya
 
2011 digital-marketer-1
2011 digital-marketer-12011 digital-marketer-1
2011 digital-marketer-1
 
Booz co campaigns-to-capabilities-social-media-and-marketing-2011
Booz co campaigns-to-capabilities-social-media-and-marketing-2011Booz co campaigns-to-capabilities-social-media-and-marketing-2011
Booz co campaigns-to-capabilities-social-media-and-marketing-2011
 
Abercrombie.and.fitch.catalog.back.to.school.2003
Abercrombie.and.fitch.catalog.back.to.school.2003Abercrombie.and.fitch.catalog.back.to.school.2003
Abercrombie.and.fitch.catalog.back.to.school.2003
 
Media analyzer article-adweek-does-sex-really-sell-2005
Media analyzer article-adweek-does-sex-really-sell-2005Media analyzer article-adweek-does-sex-really-sell-2005
Media analyzer article-adweek-does-sex-really-sell-2005
 
Vl plus-storyboard-smmp-rev3
Vl plus-storyboard-smmp-rev3Vl plus-storyboard-smmp-rev3
Vl plus-storyboard-smmp-rev3
 
Bernbach quotes
Bernbach quotesBernbach quotes
Bernbach quotes
 
Socialcrmthenewrules
SocialcrmthenewrulesSocialcrmthenewrules
Socialcrmthenewrules
 
Data report2011
Data report2011Data report2011
Data report2011
 
Philips rules
Philips rulesPhilips rules
Philips rules
 
Welcome Email Best Practices, Silverpop
Welcome Email Best Practices, SilverpopWelcome Email Best Practices, Silverpop
Welcome Email Best Practices, Silverpop
 
Com scorefacebook2011
Com scorefacebook2011Com scorefacebook2011
Com scorefacebook2011
 
Tbg digital q2_2011_global_facebook_marketing_report
Tbg digital q2_2011_global_facebook_marketing_reportTbg digital q2_2011_global_facebook_marketing_report
Tbg digital q2_2011_global_facebook_marketing_report
 

Media Mind Global Benchmark Q4 2010

  • 1. Standard Banners – Non-Standard Results Who said that Standard Banners mean mediocre results? Try these 4 simple steps to drive performance and boost traffic. retweet this MediaMind Global Benchmark Report
  • 2. 4 rules of success with Standard Banners 1 Match the media and the message Sites with focused content achieve better CTR and Conversion Rate as compared to more general sites with a diverse audience. Aligning media content with your advertising message may boost response. 2 Bigger is better Larger Standard Banners perform better than smaller ones. Larger banners increase visibility over the publisher’s content and yield more clicks and conversions. Get more real estate on the page for better performance. 3 Let the algorithms work for you Automatic optimization, a proprietary algorithm by MediaMind that selects and serves the best performing creative, boosts CTR by 73% and Conversion Rate by 40%. Serving the most impactful creative is more likely to push users to take action. 4 Retarget the underexposed Users are more likely to click on ads that they have already seen, yet the majority of users see a given campaign only once. Make sure to provide users with sufficient exposures by retargeting underexposed users.
  • 3. Content 4 Maximizing standard banner results 5 The good news: CTR stopped declining 7 Not everyone clicks 8 The four rules of success 8 Focused content 9 Larger ads 10 Automatic Creative Optimization 11 Retargeting the underexposed 13 Benchmarks Overview 15 Regional benchmark tables North America 15 East Asia 18 Europe 16 South Asia 19 Australia and New Zealand 17 Latin America 20 21 Country benchmark tables Argentina 21 France 31 Mexico 41 Spain 51 Australia 22 Germany 32 Netherlands 42 Sweden 52 Austria 23 Greece 33 New Zealand 43 Switzerland 53 Belgium 24 Hong Kong 34 Norway 44 Taiwan 54 Brazil 25 India 35 Philippines 45 Thailand 55 Canada 26 Ireland 36 Poland 46 Turkey 56 China 27 Israel 37 Portugal 47 UK 57 Denmark 28 Italy 38 Romania 48 United States 58 UAE 29 Japan 39 Singapore 49 Finland 30 Malaysia 40 South Africa 50 59 Verticals definitions 60 Metrics definitions
  • 4. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results Maximizing Standard Banner results Easy, low cost and gets the job done. These are some Furthermore, the format cannot deliver a full interactive of the traits that keep Standard Banners as the popular experience the way Rich Media can. Nevertheless, even choice for online advertisers. Standard Banners still comprise with this simple format, there are still ways to improve the majority of online advertising impressions. and entice users to click and browse to the advertiser’s website. Standard Banners are easy to create and relatively straightforward to serve. Unlike Rich Media, they lack video A careful analysis of billions of Standard Banner impressions or interaction within the banner, so they are used mainly has shown that the following four simple steps may to generate traffic to the advertiser’s website, where users increase the performance of Standard Banners. can obtain more information about the brand or make a First, use sites with focused content rather than more purchase. Thus, many advertisers use Standard Banners general environments. Use larger banners for more for Direct Response campaigns, where the aim is to drive visibility. Leverage Automatic Optimization to serve sales. the best performing creative to your audience and get more traffic. Last, get in front of your prospects more Typically, Standard Banners generate less clicks and often by increasing frequency and retarget them on conversions as compared to Rich Media formats. the exchanges. 4
  • 5. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results The good news: CTR stopped declining When the first display banners appeared in the 90’s, they were analysis of CTR of Standard Banners indicates that average CTR greeted by users with a significantly higher Click Through Rate declined from 0.15% in 2006 to 0.09% in 2010. Yet, in 2009 (CTR) as compared to today’s CTR. Display advertising is the fuel and 2010 this decline seems to have stopped. Both in 2009 that turns the Internet’s content machine and allows publishers to and the first eight months of 2010, Average CTR has remained provide free online content to users. However, as online advertising around 0.09%. This indicates that online advertising performance developed and grew in spending and also in sophistication, CTR has reached equilibrium. declined. What caused this decline in CTR in the first place? Evidence shows Chart 1 indicates that while the trend of decline in CTR began that the success of online advertising has paradoxically been the long ago, the greatest decline has been around September 2008. prime cause for the decline in CTR performance. As more budgets That month, Lehman Brothers collapsed, taking with it the world were poured into display, users were exposed to more and more economy. This had an adverse effect on users’ willingness to click ads. However, the number of ads that a user clicked on did not on ads. catch up with the number of ads that a user was exposed to, thus reducing the overall CTR. The good news is that this decline seems to have halted. An Chart 1: 2006-2010 CTR 0.23% 0.21% 0.19% Click Through Rate 0.17% 0.15% 0.13% 0.11% 0.09% 0.07% 0.05% Jul-06 Oct-06 Jan-07 Apr-07 Jul-07 Oct-07 Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10 Apr-10 Jul-10 Global CTR Annual Average CTR Source: MediaMind Research. Data: 2006-2010, Standard Banners, Worldwide. Imagine that you are exposed to one thousand ads each year, and that you click on five of them. Your CTR is 0.5%. Imagine now that you are exposed to five thousand ads; you are probably not going to keep clicking at the same vigor, so instead of 25 clicks, you only click on 20 ads. Therefore your CTR is now only 0.4%. Thus, as users are exposed to more ads, their CTR drops. 5
  • 6. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results This phenomenon is best illustrated when examining the link between CTR and average display spending per household in different countries. The average display spending per household serves as a proxy to the number of ads that a person sees over the year1. The analysis shows that as more money flows into display advertising and as people are exposed to more display ads, CTR declines. Thus, countries like Norway, USA and the UK, with higher online display spend per household tend to have a lower CTR. Countries such as Mexico, Russia and South Africa, with lower display spending per household, tend to have a higher CTR. Chart 2: Display Spending and CTR 0.22% South Korea 0.20% Colombia 0.18% Finland Poland Argentina Romania Click Through Rate 0.16% Thailand Belgium Malaysia 0.14% Mexico South Africa Russia Israel 0.12% Brazil Switzerland Singapore Spain China Denmark Netherlands Japan Portugal Ireland Austria 0.10% Philippines UK France Germany Turkey Italy Hong Kong Greece Hungary 0.08% Chile Taiwan New Zealand Canada Norway USA 0.06% Australia 0.04% 0.02% 0.00% $0 $20 $40 $60 $80 $100 $120 $140 Display Spending per Internet Household Source: MediaMind Research. Data: Q3 2009 to Q3 2010, Standard Banners, Worldwide. PwC. 2010 “Internet Household”, 2010 “Global Internet Display, Classified, Other Advertising’. Global Entertainment and Media Outlook: 2010-2014. One interesting point is that English speaking former British colonies, such as Australia, Canada, US and New Zealand, tend to have a lower CTR than what the trend predicts. These are some of the most advanced online advertising markets. Still, users in these countries tend to click on ads less than countries with similar display spending per household. The UK itself, worth noting, is slightly above the trend. 1 This can change according to the cost of media at various countries. 6
  • 7. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results Not everyone clicks Chart 4: Post Click and Post Impression Conversions The popularity of measuring CTR stems from it being one of the first online metrics as well as it being intuitive and easy to measure. Nonetheless, CTR is only a partial measure of online success. Both industry research and comparison with other online 20.4% metrics show that CTR does not capture the full effect of online display advertising. Research by comScore has shown that two-thirds of Internet users 79.6% do not click on any display ads over the course of a month and that only 16% of Internet users account for 80% of all clicks. It also showed that clickers tend to be younger and less affluent than non-clickers. comScore confirmed that there is a latency effect and branding effect to online advertising, in which users arrive Post Click Conversions Post Impression at the advertiser’s website even without clicking. Conversions However, the research by comScore also indicates that display Source: MediaMind Research. Data Q3 2009 to Q2 2010, Standard Banners, advertising has an effect on user behavior even at low click through worldwide. rates. In the research, which included 139 display campaigns from seven verticals, comScore has shown substantial effects on traffic, MediaMind has found similar results to comScore. An analysis of sales and branding despite a lack of clicks. more than 100 million conversions from thousands of campaigns worldwide confirms that only about 20% of conversions are the Chart 3: The Effect of Display Advertising result of a click, while the vast majority is the result of viewing the banner without clicking. 50% These results, together with comScore’s research show that clicks 45% are only a partial measure of online advertising effectiveness. 40% Lift Exposed/Unexposed About 80% of the traffic of users that were exposed to the ads is 35% not accounted for when measuring only clicks. Placing conversion 30% tags on the site is a smart move for better measurement of an 25% online campaign. 20% 15% 10% 5% 0% Advertiser Branded Online Offline Website Keyword Purchase Purchase Visits Search Source: comScore. “How Online Advertising Works: Whither The Click?” According to comScore, the display campaigns yielded 46% lift in advertiser websites visits, over a four week period. In addition, exposed users are 38% more likely to conduct an advertiser related branded keyword search, over a four week period and are 27% more likely to make a purchase online. Furthermore, exposed users are 17% more likely to make a purchase at the advertiser’s retail store.2 2 comScore. “How Online Advertising Works: Whither The Click?” Available at: http://www.mediametrix.com/Press_Events/Presentations_Whitepapers/2008/How_Online_Advertising_Works_Whither_The_Click 7
  • 8. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results The 4 rules of success Obviously, great results call for exciting and visible creative, eye-catching images, witty copy and a powerful call to action. Getting these things right is the aim of the creative agency. Yet, these are campaign-specific qualities, which are hard to generalize. Nevertheless, there are some other rules of thumb that are likely to enhance the performance of almost any Standard Banner. MediaMind Research has sifted through hundreds of thousands of banners to see what works and what doesn’t. 1 Focused content – superior results Browsing specific content is a powerful indicator of user’s areas of interest. For example, visitors of automotive websites are more likely to be looking for a new vehicle, or visitors of a tech site are more likely to be early adopters of new gadgets. In direct response, serving an ad to users exactly when they show interest in a product may be a powerful way to boost Chart 5: Standard Banner Performance by Environment Kids 0.35% 0.30% Click Through Rate 0.25% 0.20% IM 0.15% Finance Technology Music Maps Travel Auto Home Page Games Entertainment Mail Weather 0.10% Average Sport Other Health and Beauty Social Network Lifestyle News 0.05% Average 0.10% 0.15% 0.20% 0.25% 0.30% 0.35% Conversion Rate Source: MediaMind Research. Data Q3 2009 to Q2 2010, Standard Banners, worldwide. Chart 5 analyzes Conversion Rate, x-axis, and CTR, y-axis, by site groups and environments. Groups at the upper right quarter of the chart are both higher than average Conversion Rate and higher than average CTR. These higher performing sites contain focused content such as automotive, technology and travel. On the other hand, more general environments such as social networks and lifestyle tend to have lower Conversion Rate and CTR. 8
  • 9. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results 2 Larger ads – higher traffic In Rich Media, visibility stems from various creative features such as the use of flash and video. For Standard Banners, visibility is largely determined by the size of the banner. Bigger online real estate yields higher visibility and increases the likelihood that users click or convert after seeing an ad. Chart 6 shows that larger Standard Banners tend to achieve both a higher Conversion Rate and a higher CTR. Chart 6: Standard Banner Ad Size and Performance 1.2% 350,000 1.0% 300,000 CTR/Conversion Rate 250,000 0.8% Size (Pixels) 200,000 0.6% 150,000 0.4% 100,000 0.2% 50,000 0.0% 0 88x31 120x90 234x60 160x90 125x125 300x60 429x43 180x150 468x60 300x100 250x250 728x90 120x600 300x250 336x280 160x600 930x180 300x600 425x600 640x480 Click Through Rate Conversion Rate Size (Pixels) Source: MediaMind Research. Data Q3 2009 to Q2 2010, Standard Banners, worldwide. 9
  • 10. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results 3 Automatic Creative Optimization – improved sales generation Creative Optimization enables advertisers to leverage the wisdom of the crowds to find better creatives that engage users. By constantly comparing the results from each version of the ad, Creative Optimization will serve the most effective ads. It is a learning algorithm that receives constant feedback from actions that users take while interacting with the ad. The algorithm changes the creative depending on the users’ feedback and can display the versions of creatives that are more likely to receive clicks, conversions, interactions or Dwell. Creative Optimization assists advertisers who don’t have to guess which creative is better or which image, copy, or font to consider. Advertisers can upload all of their creative ideas and let the algorithm serve the versions that users respond to the most. Creative Optimization can even differentiate between minute differences among similar versions. Imagine two calls to action: “Click here for a one dollar discount” and “Click here for 10% discount.” Even if the two are financially equivalent, one may be able to generate more clicks. Without Creative Optimization, by the time you choose the right version that works the best, it may be too late to make any significant impact on the campaign’s overall performance. However, with Creative Optimization, the algorithm can select the most effective version in real time. Advertisers can then reduce the risk of running unsuccessful creatives, and take a bolder and more innovative approach to online advertising. Chart 7a & 7b: Creative Optimization CTR Conversion Rate 0.14% 0.18% 0.12% 0.16% +73% 0.14% +40% 0.10% Conversion Rate 0.12% 0.08% 0.10% CTR 0.06% 0.08% 0.06% 0.04% 0.04% 0.02% 0.02% 0.00% 0.00% Other Automatic Other Automatic Optimization Optimization Source: MediaMind Research. Data Q3 2009 to Q2 2010, Standard Banners, worldwide. Results indicate that Creative Optimization actually works. An analysis of campaigns that used Creative Optimization in the past year indicates that they achieved 73% increase in CTR as compared to other Standard Banners and a 40% increase in Conversion Rate. 10
  • 11. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results 4 Retargeting the underexposed – getting your message across Effective frequency is the average number of times that the prospect is exposed to the message to maximize the likelihood that he or she takes action. In practice, effective frequency means that users have to be exposed to the marketing message several times before going down the marketing funnel to the intent to purchase and ultimately to a purchase. At the first and second exposure, users are typically still in the awareness phase and only after more exposures do they slide down the funnel to favorability, intent to purchase and finally purchase. At first glance, repetition may seem wasteful – why waste another impression on a user who did not respond the first time? However, it is the underexposure and overexposure that are actually wasteful. Underexposed users remain at the top of the funnel and may not take action following the marketing message, preventing the campaign from realizing its full potential. Overexposed users have seen enough exposures to act on the message and any additional impression may not have incremental effect, or worse, it may actually annoy users. Chart 8: Airline CTR by Frequency - Standard Banners 0.25% 0.20% Click Through Rate Average 0.15% 0.10% 0.05% 0.00% 1 2 3 4 5 Frequency of Exposure Source: MediaMind Reaserch. Data Q4 2008 to Q3 2009, Airlines, Worldwide. As Chart 8 indicates, users are more likely to click on an ad that they have already seen. In addition, CTR almost does not decline until the fifth exposure. The challenge is that studies by MediaMind Research show over and over again that the majority of online users are underexposed. An analysis of hundreds of airline campaigns served by MediaMind show that an average 61% of users received only one exposure over the campaign’s lifetime, while an overwhelming majority of 82% of users received three impressions or less. 11
  • 12. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results Chart 9: Average Frequency in Airline Campaigns by Cookie Data This problem is exacerbated by the difficulty of increasing exposure frequency via traditional media buying. Online users are highly unpredictable, and browsing patterns change constantly. Throwing 3 4 2 more impressions at the problem may be wasteful and expensive, 5 or More as it increases frequency to some, but more likely reaches new users and actually creates more underexposed users. 1 Enter Retargeting. In Retargeting, users who were previously exposed to the campaign, and are now located on a site linked to the exchange can be served another exposure. This is a user specific solution that serves impressions only to those users who are underexposed, to make sure that they have the opportunity to go down the funnel, thus complementing the traditional media buy. Source: MediaMind Research. Data Q4 2008 to Q3 2009, Airlines, Worldwide. 12
  • 13. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results Benchmarks Overview The following benchmark tables provide a summary of the results of campaigns that were served by MediaMind between Q3 2009 and Q2 2010. To produce these benchmarks, MediaMind Research analyzed the results of over 200 billion impressions delivered in six different regions and more than 50 different countries. Chart 10: Standard Banner and Rich Media by Region 0.60% 0.50% Click Through Rate 0.40% 0.30% 0.20% 0.10% 0.00% Australia and North East Asia South Asia Europe Latin America New Zealand America Rich Media Standard Banner Rich Media Average Standard Banner Average Source: MediaMind Research. Data Q3 2009 to Q2 2010. Overall global CTR is 0.21%. Rich Media tends to be X3.5 higher CTR as compared to Standard Banners—0.32% as compared to 0.09%. As far as regional differences are concerned, there is a clear rule of thumb. If you are a former English speaking British colony, your CTR and Dwell are likely to be lower. Thus, the US, Canada, Australia and New Zealand have lower CTR performance as compared to other regions. This is mainly due to differences in user behavior and market maturity. 13
  • 14. MediaMind Global Benchmark Report Standard Banners – Non-Standard Results Chart 11: Regional Rich Media Performance 60 Latin America 55 Average Dwell Time (Sec) 50 North America Europe South Asia 45 East Asia 40 Australia and New Zealand 35 30 0% 2% 4% 6% 8% 10% 12% Dwell Rate Source: MediaMind Research. Data Q3 2009 to Q2 2010. Latin America, South Asia and Europe tend to have the highest Dwell Rate, while Latin America also has the highest Average Dwell Time. Europe tends to have a significantly higher Dwell Rate as compared to North America, Australia and New Zealand, mostly due to differences in user behavior, though in part could be seen in differences in current publisher restrictions. The benchmark tables contain benchmark averages on interactions, Dwell, clicks, expansions and video metrics. Data is broken down by formats, sizes and verticals. The next 46 pages contain information on 6 regions and 38 countries. The last two pages contain a full description of each vertical and a definition for each of the metrics used. One important caveat about using these benchmarks is that they only present the average performance, while the deviation in performance between ads is very large. We have tried to slice the data into as many categories as possible in order to assist users in finding the most relevant benchmarks. Still, the averages contain campaigns that are different in their nature, goals and execution. Therefore, these benchmarks should be used as a reference only, and not with the aim of trying to “beat the benchmark.” retweet this 14
  • 15.                                                                                                                                                                                                    MediaMind Global Benchmark Report                                                                                                                                                                 Standard Banners – Non-Standard Results                                                                                                                                                                                                                                                Regional benchmark tables         15
  • 16.                                                                                                                                                                                                    MediaMind Global Benchmark Report                                                                                                                                                    Standard Banners – Non-Standard Results                                                                                                                                                                                                                                                        16