Last week in the advertising community, discussions revolved around optimizing ad performance across various platforms. Members explored methods for effective cross-platform lift testing, particularly in the political advertising space. The conversation also turned towards understanding which types of intent data can effectively lower cost-per-lead (CPL). Additionally, there was a lively exchange on the effectiveness of using a three-act structure in campaign briefs, as well as strategies to reconcile brand lift metrics across different platforms.
This Week’s Hot Topics
Best cross-platform lift testing for political ads
A lively debate on the most effective methodologies for testing ad performance across multiple platforms, crucial for political campaigns aiming for maximum reach and impact. Read more here
Which intent data actually lowers CPL
This discussion centers on identifying the types of intent data that are most effective in reducing cost-per-lead, a key metric for campaign efficiency. Read more here
Testing a three-act brief for campaigns
Members are considering the benefits and challenges of using a three-act structure in campaign briefs to enhance storytelling and engagement. Read more here
Reconciling brand lift across platforms
An important conversation about standardizing brand lift measurement to ensure consistent results across different advertising platforms. Read more here
Looking forward to another engaging week of discussions. As always, your contributions make this community a valuable resource.
We’ve had the best luck with DMA-based holdouts and a simple “same window, same event” rule — once we standardized on lead-form start as the intent signal across Meta, YouTube, and programmatic, CPL dropped about 10–15%. Small caveat: if you can’t get clean holdouts, at least align frequency caps and 7d click/1d view or search will swipe late credit. @ReneeOrtiz this Meta Conversion Lift primer is a solid checklist: https://www.facebook.com/business/help/1731861053772774 — syncing platforms is like trying to set three watches that all run a little fast.
For our late-October political pushes, we rotated 72-hour DMA holdouts and fired a single server-side ‘lead submit’ into both Meta and Google, which let us compare lift apples-to-apples and cut CPL about 12% by prioritizing site search and petition-start intents over 3P segments. @Guide your approach is close, but , YouTube CTV bleeds across DMAs, so we ran PSAs in edge markets and enforced a 7-day click/1-day view window to keep it clean.
Swapping our intent signal to “donate page load” and sending it server-side with a shared event_id across Meta and Google cut CPL about 11% and made cross-platform lift reads cleaner (https://developers.facebook.com/docs/marketing-api/conversions-api/deduplicate-pixel-and-server-events/). For lift tests, DMAs got too leaky during peak political weeks, so we used 15–20 non-overlapping ZIP clusters as controls; , a pain to set up, but it reduced spillover and stabilized the lift.