Product
Google Ads Data Structuring
Use your Google Ads history to decide what to test next.
Structure your Google Ads campaign history to find patterns, make recommendations and decide what to test next.
From a campaign manager using the system
“It does give me better recommendations, compared to if I just asked Claude without uploading these files and the data.”
Campaign Manager, Appvestor
The problem
The data is there. The structure is missing.
Google Ads can hold thousands of headlines, descriptions and images across countries and languages. Raw exports show the numbers, not the patterns.
Too much to review
Patterns can be buried across thousands of rows.
Results lose their meaning
Ads, countries, languages and results need to stay connected.
AI lacks campaign history
Without campaign data, AI works from the prompt alone.
What it does
Structure the campaign history.
- 01
Collect
Bring in headlines, descriptions, images and results from Google Ads.
- 02
Organise
Keep each ad tied to its country, language and results. Combine repeated rows before comparing performance.
- 03
Read the creative
Read text inside images, translate it when needed and group ads by message type.
- 04
Use
Use the organised data for analysis, recommendations, reports, dashboards and creative briefs.
What you can learn
See patterns worth testing.
Ads
See which headlines, descriptions and images show stronger or weaker signals.
Messages
See which message types receive spend and which show promise.
Countries and languages
Keep results separate when different markets should not be compared directly.
Campaign history
See what has already been tried before deciding what to test next.
What it helps you do
Make better use of campaign history.
AI recommendations
Give AI campaign data instead of a prompt alone.
Creative decisions
Give campaign managers and designers recommendations linked to ads that have already run.
New tests
Use patterns from past campaigns to decide what to test next.
What the data can — and can’t — tell you
Know what the data can say.
Campaign results depend on more than the ad itself.
Compare the right things
Do not treat results from different countries as equal when their costs are not comparable.
Check the source
See which ads and results support a recommendation.
Treat patterns as signals
Use historical patterns to guide tests, not to claim proof of cause.
Outputs
Use the same data in different ways.
Campaign reports
See performance, spending and message patterns.
Creative briefs
Give designers new directions based on campaign history and the ads behind each recommendation.
Live dashboards
See results, ads, images and message patterns in one place.
Already in use for campaign reports, creative briefs and live dashboards.
How it works
From Google Ads to the next test.
- 01
Connect
Connect the Google Ads accounts and choose the campaigns to analyse.
- 02
Organise
Structure the ads, countries, languages and results.
- 03
Analyse
Find patterns and use the data with AI tools.
- 04
Apply
Turn the findings into recommendations, reports, creative briefs or new tests.
Common questions
Use the campaign history you already have.
Show us how you use Google Ads data today and see what could be organised or automated.
Talk to us