Adfactor investigates your account data to explain what changed and why.
Ask in Chat, or put a Monitoring agent on the job.
Cost per conversion is down 38% over the last six weeks. Most of the improvement comes from your high-intent ad groups.
Your next move Review search terms in the improving ad groups before expanding spend.
Illustrative Google Ads data · First vs. last week
| Metric | Aug 3–9 | Sep 14–20 |
|---|---|---|
| Spend | $10,000 | $7,688 |
| Conversions | 200 | 248 |
| Cost / conversion | $50.00 | $31.00 |
Fictional account. These figures demonstrate the experience, not customer results.
Cost per conversion increased from $40 to $56 over the last 7 days. Mobile traffic accounts for most of the change.
Reduce the campaign’s daily budget from $150 to $120 while investigating mobile performance.
Explore the examples above. Illustrative data and interface; not customer results.
You can see that performance changed. Explaining it takes work. At the center of Adfactor is a data analysis agent that queries your account, investigates the details, and brings the findings together.
Ask why acquisition costs rose, what drove more conversions, or where to investigate next. Follow up as the picture gets clearer.
Explore ChatChoose what to watch and how often to review it. An agent investigates on that schedule and surfaces findings and recommendations.
Explore MonitoringThe same analysis capability powers both products. Explanations connect to account data, with supporting values and the context to interpret them.
See how to get started“Why did our cost per acquisition go up?” Chat gives you a place to work through that question. Adfactor queries the account and drills into the campaigns and ad groups that help explain the change.
Ask a follow-up, compare another period, or examine a finding more closely. Build an explanation you can take into your next performance review.
From the account-level change to the details that explain it.
Search campaigns · Review daily
A meaningful change, with the data behind it.
Approve, reject, defer, or request a change.
Some questions are worth asking again. Give a Monitoring agent an objective, such as watching for rising acquisition costs, and choose the account or campaigns and review schedule.
The agent investigates and surfaces meaningful findings. Review the explanation and any recommended next step, with previous findings and your decisions kept together.
Explore the product examplesChat and Monitoring are the first products built on our analysis agent. Next, we want to bring that understanding into ad creation and optimization, so future work starts with what your performance data shows.
Understand performance.Today: investigate your account through Chat and Monitoring.
Create with context.Our direction: use performance findings and brand context to inform new ads.
Optimize and learn.Our direction: connect proposed changes, experiments, and their results.
Start with the Google Ads account you want to understand.
Then choose Chat or Monitoring.
Bring your account into Adfactor and add context about your business.
Investigate a change, find an opportunity, or set up a recurring Monitoring objective.
Read the explanation and supporting numbers. Follow up in Chat or review a Monitoring recommendation before deciding what to change.
Get to the reasons behind performance changes, then decide where your team should focus.
Adfactor for in-house teamsUnderstand your ad spend, ask better questions, and know what deserves your attention.
Adfactor for foundersInvestigate client accounts, organize findings, and explain the reasons behind the results.
Adfactor for agenciesAdfactor is a performance marketing platform built around an AI data analysis agent. Today, use Chat to investigate questions about your ad performance and Monitoring agents to investigate on a schedule. Both work from your connected Google Ads data.
It queries your account data, compares performance, and drills into campaigns, ad groups, and other relevant details to investigate your question. The result is an explanation with supporting numbers and useful next steps. Chat starts with your question; Monitoring starts with the objective you configure.
Monitoring surfaces findings and recommendations for your review. Most approvals record your decision only. When a recommendation can apply a change to Google Ads, Adfactor tells you that approval will queue the action before you confirm.
Analysis is the foundation we’re building on. Our direction is to use what Adfactor learns about performance to inform ad creation, test ideas, and guide optimization. Chat and Monitoring are the first products we’re focusing on today; the broader workflow is what comes next.
Yes. Adfactor organizes work into workspaces, customers, and connected Google Ads accounts. Agencies can keep client context separate while using the same analysis and Monitoring workflows.
Google Ads is our starting point. Adfactor is being built around the whole performance marketing loop: understand, create, test, and improve. Other ad platforms are part of that longer-term direction; they are not supported today.
Tell us about your team and what you want to understand.
Let’s talk about how Adfactor could help.