Most campaigns end with a report. AdChat campaigns end with a plan.
Every AdChat campaign generates two layers of performance data: what happened inside the ad, and what happened across the supply path. We connect those signals into a single post-campaign picture, and turn that picture into specific recommendations for the next flight. Each campaign makes the next one more efficient.
Every flight generates the insights that make the next one more efficient
AdChat captures what happened inside the ad, including every tap, path, drop-off, and exit click. We combine that with supply and delivery data from the campaign. Together those two signals produce a clear picture of what drove performance and what held it back. That picture becomes a specific set of recommendations for the next flight.
Input 1
Creative interaction + engagement signals
How users moved through the ad: which content areas they explored, where they spent time, where they dropped off, and which CTAs they clicked. For VideoPlus, this includes video views, completion rates, and audio engagement.
Input 2
Supply + delivery performance
How the campaign ran across the supply path: viewability, pacing, eCPM, environment breakdown, and delivery stability. The signals that tell you whether the inventory conditions were working.
Output
Optimization recommendations
Specific, actionable changes for the next flight. Not observations — concrete adjustments to creative, supply, and targeting based on what the data showed.
Two reporting layers, each tracking a different dimension of campaign performance
Most programmatic formats compete for a fraction of a second. AdChat’s formats are designed to hold attention long enough to mean something, and generate engagement signals you can actually learn from.
Ad Engagement
What happened inside the ad. For Conversational Ads, this includes sessions, total engagements, active attention dwell time, the content areas users explored most, and exit URL clicks by destination. For VideoPlus, it includes video views, completion rates, audio engagement, and exit URL clicks.
This is the data that tells you how users engaged with your creative and what they cared about most.
Supply and Delivery
What happened across the supply path. eCPM, total impressions, viewability rate, active attention dwell time, video completion rate, and click-out completion rate. Broken down by environment, device, and delivery period.
This is the data that tells you whether the inventory conditions were working and where efficiency gains are available.
Every campaign ends with a specific plan for the next one
Post-campaign diagnostics don’t produce observations — they produce concrete changes. Each recommendation is tied directly to something the data showed: a supply condition that was working against performance, a creative element that wasn’t landing, or a targeting parameter that needed tightening.
Here are examples from a real campaign:
Recommendations vary by campaign. These examples illustrate the kind of specific, actionable changes the insight + optimization loop produces.
Programmatic campaign optimization in practice
A consumer electronics brand ran a subscription acquisition campaign using a Conversational Ad with a VideoPlus first frame, delivered through AdChat’s curated supply path. The campaign performed well enough in the first flight that the agency recommended a budget extension for a second flight based on the results.
Campaign Details
Add an audience intelligence layer to a campaign
MixBright outputs can be mapped to contextual targeting segments and applied directly to an AdChat PMP Deal ID. It’s an optional layer that some clients use to sharpen targeting decisions before a campaign launches.
Let us show you exactly how AdChat works
Hundreds of campaigns in, we know what works.
A 45-minute conversation is all it takes to show you.