“Displaying Search” is a column capturing the intersection of display advertising and search marketing.
Today’s column is written by Suman Basetty, Director of Product Management at Efficient Frontier, an online performance marketing company.
Sophisticated online marketers want to know how their display and search ad spend are influencing each other, their conversion rates and, most importantly, understand how to distribute their ad spend across these channels to maximize returns. In order to answer these questions, marketers need two things:
- A centralized tracking system across both search and display.
- The ability to apply the right attribution model and optimize across both channels.
Tracking systems like Atlas and DART to some extent tried to solve the first problem. However, in order to solve the second issue, marketers need the ability to bid their display ads up or down (in conjunction with their search ads) based on how the ads are directly and indirectly affecting the conversions.
With the recent surge of display inventory becoming available in biddable form (at impression level in many cases) optimization across search and display can now happen.
The graph below shows an example of distribution of registrations to an advertiser’s website from multiple channels and illustrating the number of registrations with prior search and display ad interactions.
“Displaying Search” is a column capturing the intersection of display advertising and search marketing.
The other day a group of us at Efficient Frontier gathered in a conference room to discuss display optimization. We met to dig into the comparative ROI for various audience segments, including site-driven retargeting and 3rd-party purchased segments. One of our lead engineers developed an interesting analogy that mapped audience targets to search term types. The search term to audience segment analogy is an interesting way to think about relevance and tactically design portfolios of targets for display campaigns.