Data to AI™ / ChatGPT/Apple Search Ads
Explain changes in cost per install, device mix and campaign spend in ChatGPT, approving each query so the app marketing team knows which numbers shaped the answer.
Better answers, fewer tokens.
ChatGPT
Which countries brought installs at the lowest cost last month?
Canada had the lowest cost per install at $1.84, on a third of the UK's spend. The United States took the most budget at $2.61 per install.
| Country Or Region | Local Spend Amount | Total Installs | Total Avg CPI Amount |
|---|---|---|---|
| CA Report Campaigns | $3,120 | 1,696 | $1.84 |
| GB Report Campaigns | $9,480 | 4,190 | $2.26 |
| US Report Campaigns | $21,700 | 8,314 | $2.61 |
Figures come from Report Campaigns with Group By set to Country Or Region and a monthly breakdown, requested from Apple in UTC.
Apple Search Ads promotes iOS apps in App Store search results. Dataddo extracts three datasets: Campaigns with budgets and serving status, Report Campaigns with spend, taps, installs and cost per install by day, country or device, and Targeting Keywords Find with the bids and match types of one campaign.
Run data_status on the Apple Search Ads flow first. Then compare Total Avg CPI Amount, Taps and Total Installs per Campaign Name for this week and last week in Report Campaigns.
Ahead of the Monday marketing meeting, the app growth manager confirms each tool call, checks the data is fresh and gets a short explanation of which campaigns pushed the average up.
Using Report Campaigns grouped by Device Class, show Local Spend Amount, Tap Installs and Tap Install Rate for iPhone and iPad over the last 60 days.
The product marketer preparing an iPad launch learns whether tablet users already install at a similar rate, and pastes the table into the launch brief with the period it covers.
Which Country Or Region values had a Total Install Rate above our average but less than 10% of Local Spend Amount last quarter? Draft a reallocation proposal.
ChatGPT turns the ranked markets into a one-page proposal for the head of marketing, who decides which countries get more budget next quarter.
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| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| Explaining a CPI spike | The team exports two weeks of campaign data, lines them up in a spreadsheet and guesses which campaign caused the jump. | ChatGPT queries Report Campaigns for both weeks side by side, and every tool call is shown for approval before it runs. | Cause found before the meeting |
| Device split | iPhone and iPad results are read from separate dashboard filters, and the numbers rarely end up in the same table. | Report Campaigns can be grouped by Device Class when the source is created, so ChatGPT compares iPhone and iPad installs from one dataset. | Device mix in one answer |
| Control over queries | Uploading an export to a chat hands over every column, including buyer contact fields from the campaign list. | ChatGPT asks you to confirm each Dataddo tool call, and you can switch individual Dataddo tools off in the app settings. | Every lookup approved |
| Token consumption | ChatGPT spends tokens exploring raw Apple Search Ads columns, sampling rows and retrying until it understands the data. | Field definitions and relations are supplied up front, so the model skips the exploration and goes straight to the answer. | Fewer tokens per answer |
| Answer quality | Prone to wrong joins, invented fields and numbers that are hard to check. | Answers grounded in defined fields. In the Dataddo benchmark, 78.5% of questions were answered correctly, against 65.5% with plain CSV files. | Better answers |
The Apple Search Ads datasets marketing teams use most, with their real field names. ChatGPT queries them by name through the Dataddo semantic layer.
| Dataset | Metrics and attributes |
Ask ChatGPT
|
|---|---|---|
| Report Campaigns |
|
How do Taps and Total Installs compare between iPhone and iPad when we split by Device Class? |
| Campaigns |
|
What Daily Budget Amount is set on each campaign Name, and which ones end soon by End Time? |
| Targeting Keywords Find |
|
How many keywords per Ad Group Id are active by Status, and which ad group has the most? |
We asked 43 pre-registered questions of three real datasets - Google Search Console, HubSpot deals and Google Ads - and delivered the same rows to the same model in four ways. Only the data layer changed.
of questions answered correctly - the best of the four delivery methods tested
fewer confidently wrong answers - 14.0% of runs against 24.0% and 26.3%
more correct answers on messy CRM data - better on 8 questions, worse on none
Same model, prompts and rows in every condition; 759 graded runs, ground truth frozen before any run. On Google Search Console alone, documented CSV files did as well as Data to AI™ - the advantage comes from messier data such as HubSpot deals.
Read the benchmark →Extract Apple Search Ads in Dataddo with Report Campaigns and Campaigns, then attach the flow to a ChatGPT destination or AI Model. In ChatGPT on the web, switch on Developer mode in Settings > Security and login, create a Dataddo Data Access app with https://headless.dataddo.com/mcp-data and OAuth, sign in and pick it from the + menu.
Developer mode is available on ChatGPT Pro, Plus, Business, Enterprise and Education, on the web only. On Business and Enterprise, a workspace admin may need to allow developer mode before you can create the Dataddo Data Access app.
ChatGPT asks for confirmation before each tool call in developer mode. That shows you which Dataddo tool runs and with what request, so you can stop a lookup before it reaches your Apple Search Ads data.
Yes, if you extract them that way. Report Campaigns has a Breakdown option of Hourly, Daily, Weekly or Monthly, with Daily as default. ChatGPT can only answer at the granularity your source was set up with.
Yes. Report Campaigns has a Group By option with Country Or Region and Device Class. These are options of the one dataset, chosen when you create the source, not separate reports.
No. The connection is read-only. ChatGPT queries data Dataddo has already extracted through the semantic layer, Dataddo never accepts SQL from the model, and nothing is written back to Apple Search Ads.
Report Campaigns has a Records With No Metrics option that is off by default, so records without metrics in the date window are not returned. Turn it on in the source if you want those campaigns listed too.
