Your SlideShare is downloading. ×
0
DashboardsHow to create dashboards that don’t sit on a shelf
Who’s Hansa?          HANSA             HANSA                            Marketing       Brand Consulting                 ...
Hansa is a global organization                       250+                                 3
Who are we working with?                           4
Agenda   Executive summary    – What is an effective dashboard?   Effective campaign dashboards   Effective customer da...
You’re off to a bad start if…   …you hear dashboard users say    –   “So what”    –   “nice to know” – what am I supposed...
Why do dashboards sit on a shelf ?   Lack of planning, lack of buy-in   No champions to socialize your work    – “Manage...
Effective dashboards always…   Lead to actions   Have impact on the business   Are part of decision making    –   Good ...
Agenda   Executive summary    – What is an effective dashboard?   Effective campaign dashboards   Effective customer da...
If the goal is to ensure marketing accountability…   Repeat ROI objective, then benchmark against it   Repeat the market...
Example of KPIs as they relate to targets   Key Performance Indicators (KPIs) relative to target   Restating observation...
Example of annotations, definitions, narrative   Annotation/callout    – What else was in market?    – What was the compe...
Example of comparisons   Year over Year (YoY) and Month over Month (MoM)    example from ClearSaleing                    ...
Example of funnels                                                                                                    %’s ...
Example of pathsGoogle Analytics visitor flowIllustration from Microsoft Atlas whitepaper   ION Infographic referencing Ma...
Campaign dashboard example   Campaign analytics measure audiences, offers, ideas                                         ...
Email dashboard example in Excel    Overall health of the program (each tab is a deep dive)                              ...
Strategic review leveraging a dashboard                  Strategic review with alerts and recommendationsPerformance Summ...
Agenda   Executive summary    – What is an effective dashboard?   Effective campaign dashboards   Effective customer da...
Goal of customer dashboards   Customer dashboards give campaign data context –    – it’s not about response rates and con...
Why is customer data important?                  Price                Comparison                                      Stor...
2 approaches to campaigns…                     1. How “deep”                                                       should ...
What’s wrong with Batch & Blast?   Batch & Blast is an old model of marketing outreach    – Selects audiences based on a ...
What this looks like to a customer (mail edition)                                  Campaigns within a promo period        ...
What this looks like to a customer (email edition)          Customers being pummeled by email          Despite clear dif...
Enter customer dashboards   Customer dashboards start with the customer lifecycle    – Acquisition versus Retention versu...
Step 1a: Customer segmentation   Customer segmentation based on value                                           27
Step 1b: Customer segmentation   Customer segmentation for new customers                                              28
Step 2: Joiners, Stayers, Leavers         Customer segments at Period 1                                                  ...
Step 2: Joiners, Stayers, Leavers         Customer segments at Period 2                                                  ...
Step 2: Joiners, Stayers, Leavers         Customer segments between Period 1 and Period 2                                ...
Step 3: Action plan - triggered communications   Behaviors that trigger a marketing communication    – Buying behavior (t...
Customer dashboard exampleKey Customer Metrics                                               Main product 1               ...
Not about the tool   Integrate with existing work, don’t presume to replace    anything with a magic dashboard    – The d...
Push to PowerPoint
Push to PowerPoint
Agenda   Executive summary    – What is an effective dashboard?   Effective campaign dashboards   Effective customer da...
Ten tips for effective dashboards1. Plan effectively, know your audience, get their buy-in   ahead of time, survey them af...
Ten tips for effective dashboards6. Less is more; don’t use visualizations    indiscriminately, what are your top 5 KPIs?7...
Effective dashboards always…   Lead to actions   Have impact on the business   Are part of decision making    –   Good ...
Roy WollenPresident, Hansa Marketing Services Inc.(847) 491-6682Roy.Wollen@HansaMarketing.comwww.HansaMarketing.comhttp://...
Upcoming SlideShare
Loading in...5
×

How to Create Dashboards that Don't Sit on a Shelf

202

Published on

Now more than ever, marketing managers need to sift through an ocean of data to find information that is actionable. People struggle to get past the "so what?" playing in their head as they look for ways to increase sales, cut costs, or ensure quality.

Dashboards only make this problem worse with fancy data visualizations and dozens of metrics all in one place. Truth is, most dashboards just sit on a shelf, without adding value to the firm. What's missing is an action plan.

The webinar is presented by Roy Wollen, president of Hansa Marketing Services. It covers the common pitfalls of marketing dashboards as well as good and bad case study examples. Watch and learn how to start solving business problems with effective marketing dashboards.

If you are responsible for business intelligence and use dashboards to communicate marketing information, contact us to see how we can help. Don't let your dashboards will just sit on a shelf! Use them to solve business problems.

Don't miss our next free online webinar. Register here: http://hub.am/XwTIKo

www.HansaMarketing.com
@Hansa_Tweets

Published in: Business, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
202
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
9
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Transcript of "How to Create Dashboards that Don't Sit on a Shelf"

  1. 1. DashboardsHow to create dashboards that don’t sit on a shelf
  2. 2. Who’s Hansa? HANSA HANSA Marketing Brand Consulting Communication HANSA HANSA Market Analytics Research 2
  3. 3. Hansa is a global organization 250+ 3
  4. 4. Who are we working with? 4
  5. 5. Agenda Executive summary – What is an effective dashboard? Effective campaign dashboards Effective customer dashboards 10 tips for effective dashboards 5
  6. 6. You’re off to a bad start if… …you hear dashboard users say – “So what” – “nice to know” – what am I supposed to do next? – “where’d this number come from?” – “can this be right?” – They are already inundated with data, how will yet another dashboard help them? …you begin your development with visualizations in mind (dials, gauges, thermometers) – Stop looking to airplane cockpits for the answer – Don’t fall in love with a pretty (inter)face 6
  7. 7. Why do dashboards sit on a shelf ? Lack of planning, lack of buy-in No champions to socialize your work – “Management doesn’t support me” – “Finance thinks all I want is more money for marketing” Data pitfalls: – Users stumble on definitions, calculations – Numbers look suspicious “this can’t be right” – No callouts or explanations, “you figure it out” attitude – Spotty data feeds, lots of asterisks and insignificant results Effective dashboards require planning 7
  8. 8. Effective dashboards always… Lead to actions Have impact on the business Are part of decision making – Good news|bad news? – Going up|going down? – Something worked – New customer insights Key takeaway of this webinar: Effective dashboards always have actions attached to measurements 8
  9. 9. Agenda Executive summary – What is an effective dashboard? Effective campaign dashboards Effective customer dashboards 10 tips for effective dashboards 9
  10. 10. If the goal is to ensure marketing accountability… Repeat ROI objective, then benchmark against it Repeat the marketing strategy – Tip: Insert an example of the creative Associate actions with results – Reallocate marketing investment – channel, vehicle – Try new things (e.g., sweeten offer to acquire customers, reduce the offer for existing customers to optimize margin) Why do you think something happened? – Plan on adding annotations, explanations, glossary – Plan on making recommendations 10
  11. 11. Example of KPIs as they relate to targets Key Performance Indicators (KPIs) relative to target Restating observation vs target 11 Source: Klipfolio
  12. 12. Example of annotations, definitions, narrative Annotation/callout – What else was in market? – What was the competition doing? Definitions – What is a “customer”? What time period are we looking at? – Are you using Gross or Net Margin? 12 Source: Klipfolio
  13. 13. Example of comparisons Year over Year (YoY) and Month over Month (MoM) example from ClearSaleing 13
  14. 14. Example of funnels %’s represent conversion to the next phase How do these compare YoY, Salesforce.com funnel describing the stages of b2b marketing MoM?Funnel example from VisualIQ Each number brings up a question: What were the best sources? Which attracted new customers? Omniture’s SiteCatalyst digital marketing funnel 14Funnel example from Value Watcher
  15. 15. Example of pathsGoogle Analytics visitor flowIllustration from Microsoft Atlas whitepaper ION Infographic referencing MarketingSherpa statistics 15
  16. 16. Campaign dashboard example Campaign analytics measure audiences, offers, ideas Resp Resp Channel Buyers Trans Sales Sales/Piece Margin GM% AOV Rate Rate 2 Retail 200,000 250,000 $10,000,000 $2.50 $5,000,000 50.0% $ 45.00 4.0% 4.5% Direct 100,000 130,000 $ 5,000,000 $1.50 $2,500,000 50.0% $ 35.00 3.0% 3.2% Total 300,000 380,000 $15,000,000 $3.00 $7,500,000 Customers buying from 16498; the3.8% Acquisition event 50.0% $ 40.00 1/11 4.0% 16498 - 1/11 Acq List Priority Circ AOV Resp Rate Sales/Piece 10,000 1. List x 1,000,000 $55.00 3.2% $2.00 9,000 2. List y 2,000,000 $45.00 4.9% $3.00 3. List z 2,000,000 $35.00 4.6% $4.00 8,000 5,000,000 $40.00 3.8% $3.00 7,000 Market Circ AOV Resp Rate Sales/Piece 6,000 Key market 1 1,000,000 $50.00 6.0% $4.00 Customers 5,000 Key market 2 4,000,000 $35.00 2.0% $2.00 Grand Total 5,000,000 $40.00 3.8% $3.00 4,000 Discount Circ AOV Resp Rate Sales/Piece 3,000 $25 off 1,000,000 $55.00 5.0% $4.00 2,000 $35 off 2,000,000 $65.00 6.0% $1.75 Gift w Purchase 1,900,000 $25.00 2.0% $2.00 1,000 Control group 100,000 $40.00 3.0% $2.00 0 Grand Total 5,000,000 $40.00 3.8% $3.00 1/2/2010 1/4/2010 1/6/2010 1/8/2010 2/1/2010 2/3/2010 2/5/2010 2/7/2010 2/9/2010 3/1/2010 3/3/2010 3/5/2010 3/7/2010 3/9/2010 1/10/2010 1/12/2010 1/14/2010 1/16/2010 1/18/2010 1/20/2010 1/22/2010 1/24/2010 1/26/2010 1/28/2010 1/30/2010 2/11/2010 2/13/2010 2/15/2010 2/17/2010 2/19/2010 2/21/2010 2/23/2010 2/25/2010 2/27/2010 3/11/2010 3/13/2010 3/15/2010 3/17/2010 3/19/2010 3/21/2010 3/23/2010 3/25/2010 3/27/2010 3/29/2010 3/31/2010 Resp Resp Distance to Store Circ Buyers Trans Sales Sales/Piece Margin AOV Rate Rate 2 Within 1 mile 300,000 90,000 110,000 $ 4,000,000 $13.33 $2,000,000 $ 55.00 7.0% 7.2% 2 miles 200,000 50,000 75,000 $ 3,000,000 $15.00 $1,500,000 $ 45.00 6.0% 6.5% 3 miles 500,000 40,000 55,000 $ 3,000,000 $6.00 $1,500,000 $ 50.00 6.0% 6.4% 4 miles 500,000 40,000 50,000 $ 2,000,000 $4.00 $1,000,000 $ 45.00 5.0% 5.5% 5 miles 500,000 35,000 40,000 $ 1,000,000 $2.00 $ 500,000 $ 25.00 4.0% 4.0% 6 to 10 miles 1,000,000 20,000 22,000 $ 900,000 $0.90 $ 450,000 $ 40.00 2.0% 2.2% 11 to 15 miles 1,000,000 15,000 16,500 $ 650,000 $0.65 $ 325,000 $ 35.00 1.5% 1.7% 16 to 20 miles 1,000,000 10,000 11,500 $ 450,000 $0.45 $ 225,000 $ 35.00 1.0% 1.2% TOTALS 5,000,000 300,000 380,000 $ 15,000,000 $3.00 $7,500,000 $ 40.00 3.8% 4.0% 16
  17. 17. Email dashboard example in Excel Overall health of the program (each tab is a deep dive) Yes Email Capture Rate Trend %/Total Linear (%/Total) 30,000 90.0% 25,000 80.0% Pct New Customers w/Email Total New Customers 20,000 70.0% 15,000 60.0% 10,000 50.0% 5,000 40.0% 17 0 30.0% Jul-08 Jul-09 Jun-08 Aug-08 Sep-08 Jan-09 Jun-09 Aug-09 Sep-09 Jan-10 Mar-08 Apr-08 Oct-08 Nov-08 Dec-08 Mar-09 Apr-09 Oct-09 Nov-09 Dec-09 Feb-08 May-08 Feb-09 May-09
  18. 18. Strategic review leveraging a dashboard Strategic review with alerts and recommendationsPerformance Summary Total Program $700,000 $625,000 $550,000 Supports a recurring meeting 700000 625000 550000 Impressions this week last week +/- month to date run rate vs. last year $475,000 Weekly chart Weekly Chart Affiliate 475000 475000 Visits (clicks) $400,000 Paid Search 400000 $325,000 325000 325000 Click charges/Pub. Comm. $250,000 250000 250000 Transactions $175,000 $100,000 175000 175000 Sales ($) Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 PFX Fee 100000 100000 Week Week Week Week Week Week Week Week Week Week Week Week 1 2 3 4 5 6 1 2 3 4 5 6 Total Fee Sales this week last week +/- month to date run rate vs. last year + / - vs. plan +/- Search $1,174,583 -65% - $1,174,583 $1,174,583 -65% - -65% - Cost per click Paid Search $774,027 -65% - $774,027 $774,027 -65% - -65% - Data Feed $400,556 -65% - $400,556 $400,556 -65% - -65% - Conversion Rate Affiliate $18,244 -65% - $18,244 $18,244 -65% - -65% - Avg. Order Value Total $1,192,827 -65% - $1,192,827 $1,192,827 -65% - -65% - Revenue sharePerformance to Goal Alerts 700000 $6,000,000 625000 $5,000,000 550000 Actual Affiliate $4,000,000 Actual Search 475000 475000 $3,000,000 Affiliate Goal 400000 Search Goal 325000 325000 $2,000,000 250000 250000 $1,000,000 175000 175000 $0 100000 100000 Week Week Week Week Week Week Week Week Week Week Week Week Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec 1 2 3 4 5 6 1 2 3 4 5 6 18
  19. 19. Agenda Executive summary – What is an effective dashboard? Effective campaign dashboards Effective customer dashboards 10 tips for effective dashboards 19
  20. 20. Goal of customer dashboards Customer dashboards give campaign data context – – it’s not about response rates and conversions rates but about loyalty, advocacy and lifetime value Customer data brings all the channels together Customer data adds to the missing ingredient for product sales: – Who’s buying the product? – What else are they buying (market basket analyses)? – Is that product their first- or 10th purchase? 20
  21. 21. Why is customer data important? Price Comparison Store visit Search ? Community Mobile www.Brand.com Because campaigns don’t buy, people do – Customers are in control – more “pull” than “push” – Customers see brands not channels – Customers don’t care who gets credit for the sale 21
  22. 22. 2 approaches to campaigns… 1. How “deep” should I circulate? 1. Batch & Blast Mail1 Email1 Email2 Email3 Mail2 1 2.Customer 2 Y Y N Y N Centric 3 . 2. What does . my customer want? .
  23. 23. What’s wrong with Batch & Blast? Batch & Blast is an old model of marketing outreach – Selects audiences based on a marketing calendar – Each campaign seen as a distinct event, leads to overmailing – Response rates of 1% are acceptable (99% failure rate) What’s wrong? – Presumes customers are in market on our timetable – Slave to “what have you done for me lately” mentality • Audiences are selected based on Recency – Frequency model for expensive media such as telemarketing and direct mail – For email, it becomes one size fits all • Anyone with an email address gets all email campaigns, no targeting 23
  24. 24. What this looks like to a customer (mail edition) Campaigns within a promo period Campaign 1 Campaing 2 Campaign 3 Campaign 4 Campaign 5 10,000 9,000 8,000 7,000 6,000Responses 5,000 4,000 3,000 2,000 1,000 0 24
  25. 25. What this looks like to a customer (email edition)  Customers being pummeled by email  Despite clear differences in engagement  Everyone gets the same level of attention RFM and Email analysis Active Total Emails % who Opens % who Clicks Recency Email % Emails /Buyer Openers Opened Opens /Buyer Clickers Clicked Clicks /Buyer CTR 0 - 3 Mos 70,960 74.6% 2,124,751 29.9 43,580 61.4% 339,099 4.8 33,304 46.9% 115,778 1.6 5.4% 4 - 6 Mos 79,305 83.4% 2,212,122 27.9 42,724 53.9% 342,965 4.3 30,743 38.8% 102,063 1.3 4.6% 7 - 12 Mos 131,193 80.2% 4,161,901 31.7 57,161 43.6% 407,003 3.1 36,133 27.5% 95,216 0.7 2.3%0-12M buyer 281,458 79.5% 8,498,774 30.2 143,465 51.0% 1,089,067 3.9 100,180 35.6% 313,057 1.1 3.7%13 - 18 Mos 110,122 75.2% 3,550,586 32.2 44,609 40.5% 310,592 2.8 27,159 24.7% 65,970 0.6 1.9%19 - 24 Mos 94,968 71.7% 2,813,285 29.6 33,669 35.5% 221,741 2.3 19,487 20.5% 43,939 0.5 1.6%25 - 36 Mos 160,279 67.4% 4,036,381 25.2 49,156 30.7% 308,036 1.9 27,007 16.8% 57,400 0.4 1.4%37 - 48 Mos 73,727 44.8% 2,173,384 29.5 21,294 28.9% 135,273 1.8 11,350 15.4% 23,129 0.3 1.1%49+ Months 60,842 24.9% 2,035,069 33.4 16,946 27.9% 111,304 1.8 8,953 14.7% 17,889 0.3 0.9%Grand Total 781,396 61.1% 23,107,479 29.6 309,139 39.6% 2,176,013 2.8 194,136 24.8% 521,384 0.7 2.3% 25
  26. 26. Enter customer dashboards Customer dashboards start with the customer lifecycle – Acquisition versus Retention versus Reactivation – The way customers begin makes a difference Customer dashboards provide the longitudinal view – Customer segmentation comes first – Each segment has joiners, stayers, leavers as times goes by – Each has its own repurchase rate and value – Each has its own trajectory (rate of change) Most importantly, each scenario has an action plan – Example: Triggered communications 26
  27. 27. Step 1a: Customer segmentation Customer segmentation based on value 27
  28. 28. Step 1b: Customer segmentation Customer segmentation for new customers 28
  29. 29. Step 2: Joiners, Stayers, Leavers  Customer segments at Period 1 Period 1 =====> Period 2 Segment (conceptual) Operational Customers Joiners Leavers Customers Comments Advocates 0-3M 3x+ $51+ 30,000 100 100 30,000 Looks like nothing happened Repeat buyers 0-3M 2x $51+ 45,000 200 300 44,900 New and Hot 0-3M 1x $51+ 10,000 10,000 Welcome stream on steroids New and Not 0-3M 1x $50 or less 25,000 25,000 Normal welcome streamHigh dollar, loyal fans, nearing attrition 4-6M 3x+ $51+ 30,000 1,000 5,000 26,000High dollar, trial byrs, nearing attrition 4-6M 1x $51+ 75,000 5,000 10,000 70,000 etc. Dormant buyers, worth reactivating 25M+ 3x+ $51+ 150,000 5,000 10,000 145,000 Best bets for winbackLow dollar, trial byrs who went dormant 25M+ 1x $50 or less 250,000 5,000 9,900 245,100 Let them attrit total 580,000 596,000 29
  30. 30. Step 2: Joiners, Stayers, Leavers  Customer segments at Period 2 Period 1 Period 2 Segment (conceptual) Operational Customers Customers Advocates 0-3M 3x+ $51+ 30,000 30,000 Repeat buyers 0-3M 2x $51+ 45,000 44,900 New and Hot 0-3M 1x $51+ 10,000 New and Not 0-3M 1x $50 or less 25,000High dollar, loyal fans, nearing attrition 4-6M 3x+ $51+ 30,000 26,000High dollar, trial byrs, nearing attrition 4-6M 1x $51+ 75,000 70,000 etc. Dormant buyers, worth reactivating 25M+ 3x+ $51+ 150,000 145,000Low dollar, trial byrs who went dormant 25M+ 1x $50 or less 250,000 245,100 total 580,000 596,000 30
  31. 31. Step 2: Joiners, Stayers, Leavers  Customer segments between Period 1 and Period 2 Period 1 =====> Period 2 Segment (conceptual) Operational Customers Joiners Leavers Customers Comments Advocates 0-3M 3x+ $51+ 30,000 100 100 30,000 Looks like nothing happened Repeat buyers 0-3M 2x $51+ 45,000 200 300 44,900 New and Hot 0-3M 1x $51+ 10,000 10,000 Welcome stream on steroids New and Not 0-3M 1x $50 or less 25,000 25,000 Normal welcome streamHigh dollar, loyal fans, nearing attrition 4-6M 3x+ $51+ 30,000 1,000 5,000 26,000High dollar, trial byrs, nearing attrition 4-6M 1x $51+ 75,000 5,000 10,000 70,000 etc. Dormant buyers, worth reactivating 25M+ 3x+ $51+ 150,000 5,000 10,000 145,000 Best bets for winbackLow dollar, trial byrs who went dormant 25M+ 1x $50 or less 250,000 5,000 9,900 245,100 Let them attrit total 580,000 596,000 31
  32. 32. Step 3: Action plan - triggered communications Behaviors that trigger a marketing communication – Buying behavior (transaction, spend, ship status) – Lack of buying behavior (time has gone by, abandoned cart) – Channel behavior (bought online/pickup at store, loaded shopping cart/shopped at retail, “contact me” form) – Loyalty behavior (enrolled in loyalty program, earned an award, redeemed an award, close to an award threshold) – Segment behavior (rhythm of purchase, replenishment) – Site behavior (transaction at the site- not individual level) – Post demand behavior (return) or customer service call 32
  33. 33. Customer dashboard exampleKey Customer Metrics Main product 1 Main product 2 Main product 3Names through: Last Month This month Last Month This month Last Month This month Last Month This monthCustomers 250,000 275,000 Order Penetration % Order Penetration % Order Penetration % Total New 10,000 13,000 New and Hot 1,000 1,300 20.0% 25.0% 20.0% 25.0% 20.0% 25.0% New and Not 4,000 5,000 30.0% 35.0% 30.0% 35.0% 30.0% 35.0% Reactivated 10,000 11,000 40.0% 45.0% 40.0% 45.0% 40.0% 45.0% #Accounts Reliable 6M NTF Retention Trend Retention 3,500 40.0%Inactives 150,000 160,000 3,000 38.0% Used-to-Be-Hot 1,000 500 36.0% Lapsed Account 50,000 55,000 2,500 34.0% 6M Retention % "One and Done" 100,000 110,000 32.0% # NTF Accounts 2,000 30.0% 1,500Rhythm 28.0% 1,000 26.0% Buying monthly 50,000 50,000 24.0% 500 Twice a Month 10,000 10,000 22.0% Weekly 5,000 5,000 0 20.0% D… J… N… D… N… J… J… J… J… J… A… A… A… S… A… S… M… M… M… M… F… F… O… O… 33
  34. 34. Not about the tool Integrate with existing work, don’t presume to replace anything with a magic dashboard – The dashboard consumer is always going to add their spin – MS Excel, MS PowerPoint Don’t forecast; simulate – Make your dashboard interactive with what if scenarios My favorite dashboard solutions – Alterian’s Alchemy, best campaign interface – MicroStrategy, best integration with Microsoft Office – Klipfolio, best marketing applications – Tableau, best gallery beyond marketing – Dundas, best visualizations 34
  35. 35. Push to PowerPoint
  36. 36. Push to PowerPoint
  37. 37. Agenda Executive summary – What is an effective dashboard? Effective campaign dashboards Effective customer dashboards 10 tips for effective dashboards 37
  38. 38. Ten tips for effective dashboards1. Plan effectively, know your audience, get their buy-in ahead of time, survey them afterwards2. Vet all of the KPIs before they’re published (especially with finance), centralize definitions3. Don’t be afraid of MS Excel, promote dashboard’s ability integrate into someone else’s work4. Show screenshots of the creative5. Drill down for more detail; but be able to aggregate up for the contextual overview 38
  39. 39. Ten tips for effective dashboards6. Less is more; don’t use visualizations indiscriminately, what are your top 5 KPIs?7. Always put the numbers into context (e.g., trends, YoY comps, benchmarks)8. Leave space for user commentary, reactions, disagreements; but start the ball rolling with your recommendations9. Tell a story; don’t be boring10. Every section should have an associated action 39
  40. 40. Effective dashboards always… Lead to actions Have impact on the business Are part of decision making – Good news|bad news? – Going up|going down? – Something worked – New customer insights Key takeaway of this webinar: Effective dashboards always have actions attached to measurements 40
  41. 41. Roy WollenPresident, Hansa Marketing Services Inc.(847) 491-6682Roy.Wollen@HansaMarketing.comwww.HansaMarketing.comhttp://www.linkedin.com/company/404316?trk=tyah
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×