WFA webinar featuring Anthony Rhind, Global CEO of Havas Digital to introduce programmatic digital management or "what are DSPs and trading desks all about?"
6. Some confidence creeping in…
How much do you know about agency trading
desks?
Good working Nothing, 0%
knowledge,
Not much,
22%
33%
Fair
understanding,
44%
Source: WFA online survey: Base: 9 companies. Date: April 2012. Beware: low sample
7. Usage increasing, but concerns remain…
Do you use your agency
group’s trading desk?
If not, why not...?
Don't
know Yes
• “Lack of transparency”
11% 56% • “Invariably this gives rise to
conflict of interests”
• “Lack of transparency and
conflict of interests at
No agency”
33%
Source: WFA online survey: Base: 9 companies. Date: April 2012. Beware: low sample
8. “Will demand-side platforms encourage
you to…”
Increase marketing
Agency spend
50%
Advertiser
29%
Decrease marketing
Don’t know 30% 0% 12%
spend
26%
20%
32%
Have no impact
Source: WFA/ Festival of Media survey. Mar-Apr 2012 Base. 70.
13. Hype, hype, hype, hype, hype, hype
4/20/2012 :: 13 ‘Media’ … analogue to digital
14. Forrester view:
changing structure of media buying …
Source: Forrester – The Future of
Digital Media Buying (January 2012)
15. Forrester view:
changing process of media allocation
a
Source: Forrester – The Future of Digital Media Buying (January
2012)
16. Programmatic ‘RTB’ is scaling
… not a specialist niche
Source: eMarketer
17. Why all this complexity … ?
Over-supplied Under-measured
Impactful, innovative, mobile ...
Fixed cost entertainment hard to measure ROI
Growth in low cost
advertising markets
Driven by social
18. Over-supply created secondary markets …
Adnetworks: Image
daisy chain
Ad Exchange:
Rightmedia Exchange
operations image –
neutral platform
simultaneously
connecting buyers /
sellers
Source: PubMatic: Death to the Ad Network Daisy Chain (Jan 2009)
19. Ad Exchanges created to flatten ‘secondary’
market, initial (RMX) principle of neutrality
21. Trading takes place in ‘real-time’:
Invite Media / Google’s explanation of RTB
22. Trading takes place in ‘real-time’:
Invite Media / Google’s explanation of RTB
Most commonly used data sets …
•Time of day
•Date
•Full URL
•OS
•Browser Type
•Browser ID
•Referral URL
•Location (IP)
•Search / behaviour history
•Data markets remain nascent …
33. Evolve attribution: First capture all influences
across paid, owned & earned touch-points
Acquisition
On-Site
Halo Effect
Targeted
Display
ROI Social
Halo Effect
eCRM
SEM
Halo Effect
34. … getting to a single consumer view is complex
Display adserver, Rich-media adserver, search optimiser,
site analytics provider, 3rd party enrichment sources,
social interactions, offline relationship (store / CRM)
35. … enables you to model weight of contribution
Position in
Position in search results
journey
Click or view path
Density of
interaction
(frequency Recency of
within a time interaction
period)
Nature of
Ad keyword:
size Customer
Branded or not. segmentation
High / low and value
volume
36. DMP & the emerging specialism of ‘Big Data’
Real-time ‘programmatic’ experience optimisation
Universal iD
integration
37. Data driven: ‘Addressable media’ should be
supported by ‘addressable communication’
Dynamic Ad Home/ Landing Dynamic Site
Versioning Page Optimisation Path Optimisation
Original
Optimised
Dynamic creative message
& offer listings
Matched creative to media
environment
Optimized best performing Lift = 107%
creative combination CPA improvement 58%
Time on site increased
& bounce rate reduced
38. Trading desks today
An opportunity to consolidate all aggregated buying
Should be developing bespoke segmentation to evolve ‘addressable at scale’
Must be measured transparently versus other inventory sources
Will help protect you from attribution gaming
Can not operate at traditional digital media management remuneration levels
39. Programmatic buying in the medium term
Current digital display advertising model is not sustainable:
Over-supplied, under-measured, under-valued … consumer / advertiser / yield
Programmatic model most effective with scarcity, certainty & quality
Segmentation reduces wastage
Data improves certainty (targeting & attribution)
Design management improves consumer response
Display environment / inventory must improve
Video & mobile are scaling on ‘exchange’ marketplaces
TV, digital OOH, digital cinema & tablet ‘print’ will soon be ‘ad-served’
Anticipate segment-able / addressable model, with creative adaptability
Mobile will add a powerful data layer – SO LO MO CO
Anthony Rhind’s view (not speaking for Havas):
Majority of all media will be adserved & traded programmatically
Trading desks will be the ‘deployment’ arms for agencies (across P.O.E.)
DSPs are the technology layer – adservering & optimisation commodity
42. What’s next for WFA members?
• More detailed peer research and ad-hoc web meetings
• Included on agenda at Digital Network : 10th May, Paris
• Updated ePrivacy webinar: 15th May
• Round-table at Media Committee: 3rd October NYC
43. Thank you!
Anthony Rhind
anthony.rhind@havasdigital.com
Rob Dreblow
r.dreblow@wfanet.org
Editor's Notes
NOT EASY! Varied data sources are ingested, cleaned, matched & analysed.Single-user (anonymous) ID - combine attributes (socio-demo, geo, customer record) to score & predict behaviour. Output optimises owned web assets, ad copy & placement … esp. real-time market-places search & ad exchanges. Artemis our DMP. Adnetik our partner DSP.