When I run Meta, my branded search conversions go up. Who should get the credit?
Meta created the demand and search captured it. That pattern — social spend rising, branded search volume rising a few days later — is one of the clearest signals that paid social is doing upper-funnel work in a local market. Standard reporting will credit search, because search was the last click. The correct read is that neither channel's own report is right, and the relationship only becomes visible when you look at the two together over time.
The pattern to look for
Plot Meta impressions or spend by week against branded search impressions and clicks by week, offset by a few days. In markets where paid social is working, the two move together, and the lag is roughly how long it takes a homeowner to go from noticing a problem to doing something about it.
This is correlation, not proof, and it should be described that way. But it is a much better basis for a budget conversation than a last-click report that assigns everything to the brand keyword somebody would have typed anyway.
Why last click gets this exactly backwards
Branded search is the cheapest looking line in most accounts, because people who already decided to call you type your name. Last-click reporting therefore rewards the channel that harvests demand and starves the channel that creates it. Cut social, and branded search efficiency stays fine for a while as the existing demand works through, then quietly declines.
The delayed feedback is what makes this mistake so easy to repeat. The cost of cutting demand generation shows up a month or two later, by which point it gets blamed on the season.
How to test it rather than argue about it
- Vary social spend deliberately. Step it up or down for a few weeks and watch branded search volume rather than social conversions.
- Use direct and organic traffic as a second sensor. Demand creation shows up there too, not only in paid search.
- Watch call volume with no tracked source. A rising share of unattributed calls during a social push is evidence, not noise.
- Compare against a market where you did not change spend. That converts a suggestive chart into something closer to a controlled reading.
Reporting that can hold both ideas
The reporting shape that works is a blended view: total spend across channels against total booked revenue, with per-channel attribution shown underneath as a diagnostic rather than as the verdict. That framing keeps people from optimizing a single channel into a corner.
Getting there means joining ad platform data, call data and job data on one timeline, which is what marketing intelligence is for. Where the tracked path runs out, correlation analysis in business intelligence covers the ground attribution cannot, and it should be labeled as correlation when it does.
Topics: demand generation · branded search · cross-channel · attribution
Have a version of this question about your own business?
The useful answer usually depends on which systems you run and how they're connected. That's a conversation, not a blog post.