Case studies · done with EPYC · Ask EPYC
What we found
Spend on Meta predicts branded search volume with a one-to-two-day lag and then the effect disappears. Read: the Meta spend was promotional — it makes people look, it does not build anything that lasts. The next question writes itself: which media, if any, sustains the brand. Answering it needs TV, out-of-home, and programmatic spend in the same table as Meta.
Illustrative analysis from a platform demo; the store is not a client.
Method
- 01
We pulled daily Meta spend and impressions next to branded search impressions on Google — a year of data.
- 02
We ran a simple correlation first (0.92), then Granger causality to test direction and lag.
- 03
The analysis ran as code on a virtual machine inside the chat; the code was kept with the answer.