Custom Bid & User Level Analytics
Enabled by deep insights at the intersection of
USERs, URLs & BIDs
We know that ‘out-of-box’ or ‘set-it & leave-it’ offerings seldom help with generating meaningful insights from data. So, we offer what we call as Iterative Analytics. Apart from making all your user-level behavior data & bid-level monetization data available to you on a data lake, Tercept’s data science & engineering teams work closely with your team to define the required reports and make corresponding changes so that we can track the required data & share the reports regularly. Tercept works closely with you to brainstorm hypotheses, identify & make technical changes required to test the hypotheses, setup A/B testing frameworks & analyze the data. The entire process gets repeated in an iterative fashion to help you generate insights, take action & drive impact.
Use Cases
Track Advertiser Bid Frequency Plots to know various price points at which advertisers are bidding on different different parts of your website.
Track the difference between bids placed by Open Bidding partners and AdX on different users & inventories.
Track how much advertisers are paying for loyal vs non-loyal users.
Track how a DSP’s bids decay as your users see more & more ads on your website through the day.
Attribute ad revenue on GAM/AdX by user source (UTM parameters or source of app install).
Track PageRPM for every individual URL on your website.
Track Bid Adjustments to understand how bidders adapt when you change your price floors.