This is an
industry imperative but the challenges are steep. To get a lay of the land, I
sat down with Julian Zilberbrand, EVP, Audience Science, Viacom Media Networks,
Ben Clarke, President, The Shipyard and Jane
Clarke, CEO, Managing Director, CIMM.
Charlene Weisler: What, for you, were the most important
takeaways from the CIMM Sequent Whitepaper on attribution?
Julian
Zilberbrand: There is still much work to be done to truly do cross platform
attribution, especially when taking into account non-digital touch points. The methodology used, I believe, still leads
back to a Marketing Mix Modeling (MMM) versus Multi-Touch Attribution
(MTA). MMM has its value but is a
different capability that has been in existence for a long time and is seen to
have flaws as well. The need for attribution is real and necessary in our space
but individual advertiser KPIs make a one-size-fits-all model impossible.
Jane Clarke:
The most significant insight emerging from our whitepaper is that clearly while
progress is being made, there is still much development work needed for a truly
integrated marketing mix modeling and attribution approach to ROI analysis. We
have outlined some important elements of the direction that development needs
to take for a more holistic solution, but important work lies ahead. The future of cross-channel attribution is
being formed now, so it is in the best interest of media buyers and sellers
alike to get involved in the process to ensure that the industry has options
moving forward that truly serve our needs.
Charlene Weisler: What do you see as the greatest challenges in
attribution?
Julian
Zilberbrand: The biggest hurdles from the digital end are the proper
attribution of search and social; you need actual log files that search and
social partners will not provide. As for non-digital touch points, there is a
lack of universal id to properly attribute exposure in more traditional areas
of marketing and the proper data structure with functional nomenclature across
all channels.
Ben Clarke:
There is so much noise in the data as to what's really influencing a sale -
something as simple as how close a person lives to a retail location is a main
driver of sales - but not accounted for in attribution - further most
attribution models. In addition - the
term attribution itself probably needs to be dimensionalized - attribution
models are usually deployed against sales targets - but some channels may be
great for building awareness and preference (which are important) but don't
lead directly to sales. In other words -
attribution deals in Purchase Funnels where not every meaningful relationship
is a sale.
Jane Clarke:
The biggest challenge to full cross channel attribution is accurate measurement
of consumer and/or household identity to link all the media exposure datasets
to purchasing datasets and/ or other KPIs for marketing campaigns.
Charlene Weisler: How long do you think it will take for
formulate a viable attribution model? Is it even possible?
Julian
Zilberbrand: We still have work to do to get to MTA to be a truly viable
solution for determining effective marketing touchpoints across all
channels. Not all consumer touch points
are given proper credit or provide the level of time-stamped data which can
effectively feed the MTA properly. Additionally, various advertiser KPIs
present a real challenge to solve for in a single modeled approach. The model
might not yield relevant results in every instance. Creating models or game theory takes a
significant time to ramp up and requires a level of patience that most
marketers don’t have. Of course it’s
possible, but only if cross platform measurement solutions, both globally and
for the U.S., reach their full potential.
Ben Clarke:
I don't think there will be "a model." This is the issue with one size fits all
fractional attribution platforms you can buy out of the box - the neatly assign
values to each channel - but when you go to activate against those insights
they largely fail to be predictive.
Usually great attribution involves setting up controlled experiments on
a continuous basis - so I don't think the goal should be to come up with
"a model" at all - maybe better to come up with a methodology that
can deliver versions of models over time.
Jane Clarke:
Viable models are beginning to emerge for full cross channel marketing ROI
attribution, and will improve along with the ability to link and/or model
consumer and household identity across more and more devices, marketing channels,
and purchasing datasets.
This article first appeared in www.MediaBizBloggers.com
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