SlideShare a Scribd company logo
Display
Marketing
Strategy
© Ferran Martí Voltas @ferranmv
Betahaus, 20th February 2014.
Agenda
Web
Concepts
Start Web.
History
Automation
Big Web.
Recap
A website
Size?
Niche?
Content?
Revenue Model?
Time
Pageviews
50M
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Size? Big!
Niche? A good niche!
Content? Owned, Quality but cheap!
Revenue Model? Subscription (Ads not the only one)
Time
Pageviews
50M
Perfect website
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Niche? Dating / Travel / Shopping / Insurance /
Banks... More revenue for less visits.
Content? Low quality or copied content won't
get you anywhere.. Not even Google will work
with you
Revenue Model? Is hard to make a living just
on ads...
Perfect website
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Types of
O. Marketing
Email
Marketing
Display
Marketing
Search
Marketing
Depending on Channel
St. Banners / Mobile / Video / Rich Media / and Ecosystems
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Types of
O. Marketing
Branding / Premium
Focus is Brand Awareness
Higher Prices
Guaranteed Volume
Rich Media and Video
Performance
Advertiser focus is ROI
Lower Prices
Non Guaranteed
Inside: Affiliate Marketing
Depending on Advertiser Purpose
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Types of
O. Marketing
Branding / Premium
Depending on Advertiser Purpose
Types of
O. Marketing
Performance
Depending on Advertiser Purpose
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Products
CPM Cost Per Mille
CPC Cost Per Click
CPL Cost Per Lead
CPA Cost Per Action
RS Revenue Share
Who takes the risk?
Producer Buyer
Publisher Advertiser Product
1000 Imp.
1Click
1 Lead
1 Action
-
Pricing Models
Web · Concepts · Startl Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Types of
O. Marketing
Branding No A bit A bit Half Half No No
Performance All A lot A lot Half Half All All
Advertiser Purpose vs Channel vs Pricing Models
Email Display Search
Standard / Mobile / Video / Rich Media / Ecosystems
CPM, some CPC
CPL, CPA, CPC, some CPM
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Niche?
Revenue Model? Subscription (Ads not the only one)
Time
Pageviews
50M
Starting website
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Yes!
●
This means your site will perform on a target
●
You can play with CPL and CPA deals of your
niche...:
No...
●
Your revenue will come from CPM and CPC
deals... so focus on good UI design...
●
Videos and/or Rich Media?
Niche?
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
●
1.000 users a day
●
10.000 pageviews a day
●
3 banners per page
●
0.50 eur CPM avg
●
Revenue: 150 eur a month!
Revenue Model?
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Niches are nice!
Look on other revenue models
If just ads: Be viral or you wont make it
Think on your design = Performance
Videos and Rich Media!
Start simple and small:
Adsense and Doubleclick for Publishers
Starting website
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Currently
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Publisher
Email Marketing · Display Marketing · Search Marketing
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Publisher Advertiser
Agency
Email Marketing · Display Marketing · Search Marketing
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Publisher Advertiser
Agency
Publisher
Publisher
Advertiser
Agency
Advertiser
Agency
Email Marketing · Display Marketing · Search Marketing
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Publishers Advertisers
Agencies
Adservers Adservers
Email Marketing · Display Marketing · Search Marketing
Banners buyerseller
buyer
seller
Tech
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Publishers Advertisers
Agencies
Adservers Adservers
Saleshouses
Adservers
Email Marketing · Display Marketing · Search Marketing
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Publishers Advertisers
Agencies
Adservers Adservers
Adnetworks
Adservers
Saleshouses
Email Marketing · Display Marketing · Search Marketing
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
Saleshouse
Branding
Guaranteed volume
High Prices
Adnetwork
Performance
Filler (All the rest)
Lower Prices
Risk: Adnetwork behaves like Saleshosue
Lack of Transparency 1
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
1. Agency bills 10 eur CPM to Agency
Other Highlights:
Intermediaries make the money
Do not trust anybody!
2.1. Agency to Saleshouse
4 eur CPM
3.1. Saleshouse to
Publisher 2 eur CPM
2.2. Agency to Adnetwork
2 eur CPM
3.2. Adnetwork to
Publisher 1 eur CPM
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Publishers Advertisers
Agencies
Adservers
Adnetworks
Saleshouses
Email Marketing · Display Marketing · Search Marketing
Before 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Publishers Advertisers
Agencies
Adservers
Adnetworks
Saleshouses
Email Marketing · Display Marketing · Search Marketing
2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
Display Marketing
Not working
Bureaucratic
Dot-com bubble
Search Marketing
Adwords invented
Working!
Target to keywords
Search
M
arketingwins!
DisplayM
arketingisdown
Google Plans 2001
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
Publisher
2003
Advertisers
Agencies
2001
Adnetwork
For Everybody
2003
Contextual Targeting: Also Display!
Before 2007
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
Publishers Advertisers
Agencies
Adservers
Adnetworks
Saleshouses
AdExchanges
Google Display – Contextual!
Lack of Transparency 2
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
1. Agency bills 10 eur CPM to company
2. Agency sells to Saleshouse 6eur CPM
3. Saleshouse sells to Adn1 for 3 eur CPM
4. Adn1 puts in AdExc for 1 eur CPM
5. Adn 2 gets campaign and resells it at 0.50 eur CPM
6. Adn1 gets campaign and serves to pub at 0.30 eur CPM
7. Publisher gets it at 0.30 eur CPM.
Other Highlights:
Intermediaries make the money
Could end up in illegal sites
Do not trust anybody!
Buzz Words 2007
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
Publishers Advertisers
Agencies
Adservers
Adnetworks
Saleshouses
AdExchanges
Google Display – Contextual!
Buzz words and services!
Retargeting
User Data!
Cookies!
Tracking!
Analytics!
Facebook!
Linkedin!
Twitter!
Buzz Words 2007
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Buzz words and services!
Email Marketing · Display Marketing · Search Marketing
Publishers Advertisers
Agencies
Adservers
Adnetworks
Saleshouses
AdExchanges
Google Display – Contextual!
Retargeting
User Data!
Cookies!
Tracking!
Analytics!
Facebook!
Linkedin!
Twitter!
Problems 2007
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
For publishers
Lack of Transparency
Intermediaries make the money
Traditional Publishers have
high fix costs and low income
Big Advertisers are reticent
For Advertisers
Same
Contextual... Behavioral...
Retargeting... Search works better!
Premium publishers are reticent
Money does not flow!
Welcome RTB
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
Publishers Advertisers
Agencies
Real
Time
Bidding
Adservers
From Mad Men to Math Men
Data
Real
Time
Bidding
Adservers
No Fix costs!
No intermediaries!
Programmatic!
Flexible!
Improve Targeting!
Transparency!
Money Flows
from Advertiser
to Publisher!
Theory RTB
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
SSP
From Mad Men to Math Men
Email Marketing · Display Marketing · Search Marketing
Publishers Advertisers
Agencies
Adservers
Adnetworks
Saleshouses
RTB AdExc.
Google AdEX
Data
DSP
Trading
Desks
Agengy
Trading
Desks
Reality RTB 1
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
SSP
From Mad Men to Math Men
Email Marketing · Display Marketing · Search Marketing
Publishers Advertisers
Agencies
Adservers
Adnetworks
Saleshouses
RTB AdExc.
Google AdEX
Data
DSP
Trading
Desks
Agengy
Trading
Desks
Currently
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
Theory:
Reality:
No Fix costs!
No intermediaries!
Programmatic!
Flexible!
Improve Targeting!
Transparency!
Money Flows
from Advertiser
to Publisher!
Reality RTB 2
No Less Fix costs!
No intermediaries!
Will be Programmatic!
More Flexible!
Improve Targeting!
Transparency!
Adnetworks and
other traders
currently still get
biggest piece of Pie!
And Agencies go
cheaper
But money will
flow!
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Email Marketing · Display Marketing · Search Marketing
Reality RTB 2
Admonsters European RTB Report 2013
How to work?
How to Maximize revenue?
Time
Pageviews
50M
Big website
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Industry of Trust: Build relationships
Be curious and try things
Ask adnetworks how they get their campaigns:
1. Do they put your inventory on an exchange?
2. Private relationship with agency?
3. They create their own campaigns
Think on revenue, not CPM
How to work?
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
What I would do:
1. Free Adserver like Doubleclick for Publishers
2. Adsense from Google as filler or try several SSPs
competing in your inventory if you are really big.
3. Be on top of your adnetworks because if you relax they
will “relax”
4. Understand what campaigns are being served on your
banners
5. Understand what “performs” and why does it perform
Max Ad Revenue
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv
Thanks for your time!
Questions?
The End!
Web · Concepts · Start Web · History · Automation · Big Web · Recap
© Ferran Martí Voltas twitter: @ferranmv

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Online Marketing Strategy

  • 1. Display Marketing Strategy © Ferran Martí Voltas @ferranmv Betahaus, 20th February 2014.
  • 3. A website Size? Niche? Content? Revenue Model? Time Pageviews 50M Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 4. Size? Big! Niche? A good niche! Content? Owned, Quality but cheap! Revenue Model? Subscription (Ads not the only one) Time Pageviews 50M Perfect website Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 5. Niche? Dating / Travel / Shopping / Insurance / Banks... More revenue for less visits. Content? Low quality or copied content won't get you anywhere.. Not even Google will work with you Revenue Model? Is hard to make a living just on ads... Perfect website Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 6. Types of O. Marketing Email Marketing Display Marketing Search Marketing Depending on Channel St. Banners / Mobile / Video / Rich Media / and Ecosystems Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 7. Types of O. Marketing Branding / Premium Focus is Brand Awareness Higher Prices Guaranteed Volume Rich Media and Video Performance Advertiser focus is ROI Lower Prices Non Guaranteed Inside: Affiliate Marketing Depending on Advertiser Purpose Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 8. Types of O. Marketing Branding / Premium Depending on Advertiser Purpose
  • 9. Types of O. Marketing Performance Depending on Advertiser Purpose Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 10. Products CPM Cost Per Mille CPC Cost Per Click CPL Cost Per Lead CPA Cost Per Action RS Revenue Share Who takes the risk? Producer Buyer Publisher Advertiser Product 1000 Imp. 1Click 1 Lead 1 Action - Pricing Models Web · Concepts · Startl Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 11. Types of O. Marketing Branding No A bit A bit Half Half No No Performance All A lot A lot Half Half All All Advertiser Purpose vs Channel vs Pricing Models Email Display Search Standard / Mobile / Video / Rich Media / Ecosystems CPM, some CPC CPL, CPA, CPC, some CPM Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 12. Niche? Revenue Model? Subscription (Ads not the only one) Time Pageviews 50M Starting website Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 13. Yes! ● This means your site will perform on a target ● You can play with CPL and CPA deals of your niche...: No... ● Your revenue will come from CPM and CPC deals... so focus on good UI design... ● Videos and/or Rich Media? Niche? Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 14. ● 1.000 users a day ● 10.000 pageviews a day ● 3 banners per page ● 0.50 eur CPM avg ● Revenue: 150 eur a month! Revenue Model? Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 15. Niches are nice! Look on other revenue models If just ads: Be viral or you wont make it Think on your design = Performance Videos and Rich Media! Start simple and small: Adsense and Doubleclick for Publishers Starting website Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 16. Currently Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 17. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Publisher Email Marketing · Display Marketing · Search Marketing
  • 18. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Publisher Advertiser Agency Email Marketing · Display Marketing · Search Marketing
  • 19. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Publisher Advertiser Agency Publisher Publisher Advertiser Agency Advertiser Agency Email Marketing · Display Marketing · Search Marketing
  • 20. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Publishers Advertisers Agencies Adservers Adservers Email Marketing · Display Marketing · Search Marketing Banners buyerseller buyer seller Tech
  • 21. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Publishers Advertisers Agencies Adservers Adservers Saleshouses Adservers Email Marketing · Display Marketing · Search Marketing
  • 22. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Publishers Advertisers Agencies Adservers Adservers Adnetworks Adservers Saleshouses Email Marketing · Display Marketing · Search Marketing
  • 23. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing Saleshouse Branding Guaranteed volume High Prices Adnetwork Performance Filler (All the rest) Lower Prices Risk: Adnetwork behaves like Saleshosue
  • 24. Lack of Transparency 1 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing 1. Agency bills 10 eur CPM to Agency Other Highlights: Intermediaries make the money Do not trust anybody! 2.1. Agency to Saleshouse 4 eur CPM 3.1. Saleshouse to Publisher 2 eur CPM 2.2. Agency to Adnetwork 2 eur CPM 3.2. Adnetwork to Publisher 1 eur CPM
  • 25. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Publishers Advertisers Agencies Adservers Adnetworks Saleshouses Email Marketing · Display Marketing · Search Marketing
  • 26. Before 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Publishers Advertisers Agencies Adservers Adnetworks Saleshouses Email Marketing · Display Marketing · Search Marketing
  • 27. 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing Display Marketing Not working Bureaucratic Dot-com bubble Search Marketing Adwords invented Working! Target to keywords Search M arketingwins! DisplayM arketingisdown
  • 28. Google Plans 2001 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing Publisher 2003 Advertisers Agencies 2001 Adnetwork For Everybody 2003 Contextual Targeting: Also Display!
  • 29. Before 2007 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing Publishers Advertisers Agencies Adservers Adnetworks Saleshouses AdExchanges Google Display – Contextual!
  • 30. Lack of Transparency 2 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing 1. Agency bills 10 eur CPM to company 2. Agency sells to Saleshouse 6eur CPM 3. Saleshouse sells to Adn1 for 3 eur CPM 4. Adn1 puts in AdExc for 1 eur CPM 5. Adn 2 gets campaign and resells it at 0.50 eur CPM 6. Adn1 gets campaign and serves to pub at 0.30 eur CPM 7. Publisher gets it at 0.30 eur CPM. Other Highlights: Intermediaries make the money Could end up in illegal sites Do not trust anybody!
  • 31. Buzz Words 2007 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing Publishers Advertisers Agencies Adservers Adnetworks Saleshouses AdExchanges Google Display – Contextual! Buzz words and services! Retargeting User Data! Cookies! Tracking! Analytics! Facebook! Linkedin! Twitter!
  • 32. Buzz Words 2007 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Buzz words and services! Email Marketing · Display Marketing · Search Marketing Publishers Advertisers Agencies Adservers Adnetworks Saleshouses AdExchanges Google Display – Contextual! Retargeting User Data! Cookies! Tracking! Analytics! Facebook! Linkedin! Twitter!
  • 33. Problems 2007 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing For publishers Lack of Transparency Intermediaries make the money Traditional Publishers have high fix costs and low income Big Advertisers are reticent For Advertisers Same Contextual... Behavioral... Retargeting... Search works better! Premium publishers are reticent Money does not flow!
  • 34. Welcome RTB Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing Publishers Advertisers Agencies Real Time Bidding Adservers From Mad Men to Math Men Data Real Time Bidding Adservers No Fix costs! No intermediaries! Programmatic! Flexible! Improve Targeting! Transparency! Money Flows from Advertiser to Publisher!
  • 35. Theory RTB Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv SSP From Mad Men to Math Men Email Marketing · Display Marketing · Search Marketing Publishers Advertisers Agencies Adservers Adnetworks Saleshouses RTB AdExc. Google AdEX Data DSP Trading Desks Agengy Trading Desks
  • 36. Reality RTB 1 Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv SSP From Mad Men to Math Men Email Marketing · Display Marketing · Search Marketing Publishers Advertisers Agencies Adservers Adnetworks Saleshouses RTB AdExc. Google AdEX Data DSP Trading Desks Agengy Trading Desks
  • 37. Currently Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 38. Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing Theory: Reality: No Fix costs! No intermediaries! Programmatic! Flexible! Improve Targeting! Transparency! Money Flows from Advertiser to Publisher! Reality RTB 2 No Less Fix costs! No intermediaries! Will be Programmatic! More Flexible! Improve Targeting! Transparency! Adnetworks and other traders currently still get biggest piece of Pie! And Agencies go cheaper But money will flow!
  • 39. Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv Email Marketing · Display Marketing · Search Marketing Reality RTB 2 Admonsters European RTB Report 2013
  • 40. How to work? How to Maximize revenue? Time Pageviews 50M Big website Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 41. Industry of Trust: Build relationships Be curious and try things Ask adnetworks how they get their campaigns: 1. Do they put your inventory on an exchange? 2. Private relationship with agency? 3. They create their own campaigns Think on revenue, not CPM How to work? Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 42. What I would do: 1. Free Adserver like Doubleclick for Publishers 2. Adsense from Google as filler or try several SSPs competing in your inventory if you are really big. 3. Be on top of your adnetworks because if you relax they will “relax” 4. Understand what campaigns are being served on your banners 5. Understand what “performs” and why does it perform Max Ad Revenue Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv
  • 43. Thanks for your time! Questions? The End! Web · Concepts · Start Web · History · Automation · Big Web · Recap © Ferran Martí Voltas twitter: @ferranmv