How to Connect AppsFlyer to ChatGPT (2 Steps, No Code)

You can connect AppsFlyer to ChatGPT in two steps using Windsor.ai’s native ChatGPT app: link your AppsFlyer account to Windsor.ai, then install the Windsor.ai app inside ChatGPT so it can pull your mobile attribution data on request, in plain language.

AppsFlyer’s own dashboard is built for attribution reporting, not for quickly asking a natural-language question about installs, cost per install, or in-app events alongside the rest of your marketing stack. Exporting CSVs from AppsFlyer every time you want to compare it against your ad spend elsewhere is slow, and the result is a static snapshot that’s out of date the moment you save it. Connecting through Windsor.ai’s native app solves both problems: ChatGPT gets live access to your AppsFlyer data, and can blend it with 350+ other sources in the same conversation.

2 steps to connect AppsFlyer to ChatGPT

Takes under a minute, no code or manual CSV work required.

For the full walkthrough, see Windsor’s documentation on how to integrate data into ChatGPT.

Prerequisites

• A Windsor.ai account (free forever plan, no credit card, or paid from $19/month).
• An AppsFlyer account with at least one app tracked and reporting data.
• A ChatGPT account with access to install apps.

Step 1. Connect AppsFlyer to Windsor.ai

• Create a free Windsor.ai account, or log in if you already have one.
• Go to onboard.windsor.ai/app/appsflyer and select AppsFlyer from the connector list.
• Authorize the connection with your AppsFlyer credentials, and repeat the step for any additional apps you track.

Step 2. Connect the Windsor.ai app in ChatGPT

In ChatGPT, install Windsor’s native app to give it access to the AppsFlyer account you just connected.

Once it’s installed, confirm the connection by asking ChatGPT:

List the data sources connected to my Windsor account. Do you see AppsFlyer there?

If AppsFlyer shows up in the list, you’re ready to query your mobile attribution data in natural language.

The metrics that matter for AppsFlyer

Metric	What it tells you
Installs	How many times your app was installed in the period, the base volume metric for measuring campaign reach.
Clicks	How many times people clicked an ad through to your app, a signal of how relevant your creative and targeting are.
Impressions	How many times your ads were shown, giving you the reach behind your clicks and installs.
CTR	What share of impressions turned into clicks, a read on how compelling your ad creative is.
Conversion rate	What share of clicks turned into installs, showing how well your targeting and store listing convert traffic.
Average eCPI	The effective cost you paid per install, letting you compare acquisition efficiency across partners and campaigns.
Cost Value	The media spend attributed to a partner, campaign, or adset, the basis for working out cost per install and ROI.
ARPU	The average revenue generated per installed user, useful for judging the long-term value of the users you’re acquiring.
Event Revenue	The total revenue tied to in-app events like purchases, showing which sources drive real monetization, not just installs.
Event Counter – af_purchase	How many purchase events were logged, a direct read on buying activity from the users you acquired.
Loyal Users	How many installed users came back to the app multiple times, an early signal of retention quality.
ROI	The return on investment for a given partner or campaign, telling you whether the ad spend is paying off.

What to ask ChatGPT: prompt ideas

Attribution and install performance

Compare my AppsFlyer installs and average eCPI by partner for the last 30 days, and flag any partner where cost per install rose more than 20% week over week.

Break down my installs and conversion rate by campaign and adset for the last 7 days.

Cohort and retention analysis

Show my loyal users and ARPU by adset over the last quarter, and tell me which adsets are bringing back the most engaged users.

Media source and campaign efficiency

Show my af_purchase event revenue by partner for this month, and compare it against my Google Ads spend for the same period.

Calculate my clicks, impressions, and CTR by partner for the last 30 days, and rank partners from most to least efficient.

The AppsFlyer connection through Windsor is read-only. ChatGPT can analyze your installs, cost, and event data, but it can’t create, edit, or pause anything inside AppsFlyer itself.

Bonus: analyze AppsFlyer alongside your full stack

Windsor connects 350+ sources, so AppsFlyer doesn’t have to live in its own silo. A few realistic blends:

• Blended CPA across UA channels. Combine AppsFlyer installs and attribution with ad spend from Google Ads, Meta Ads, and TikTok Ads to see one true blended cost per install and ROAS across every paid UA channel you run.
• Installs vs. real engagement. Pair AppsFlyer installs with in-app event data from Amplitude or Mixpanel to see which channel brings users who actually open and use the app, not just tap install.
• Full LTV view. Blend AppsFlyer’s install and event revenue with your billing or CRM revenue data for a single lifetime-value picture across every channel driving users.

Other ways to connect AppsFlyer to ChatGPT

Manual CSV export

You can export a report from AppsFlyer as a CSV and upload it to ChatGPT for a one-off analysis. It works, but it’s a static snapshot that’s already outdated by the time you upload it, and you’ll need to repeat the export every time you want fresh numbers.

Zapier or Make

You can build a Zapier or Make workflow to move AppsFlyer data elsewhere on a schedule. It’s a workflow you have to build and keep maintaining, and it still doesn’t put the data directly into a ChatGPT conversation the way a native connector does.

Neither approach gives you the live, queryable view that connecting AppsFlyer directly to Windsor.ai does.

Conclusion

Connecting AppsFlyer to ChatGPT through Windsor.ai takes two steps and no code: link your AppsFlyer account to Windsor, then install the Windsor.ai app in ChatGPT. From there, you can ask questions about installs, cost per install, and in-app events in plain language, and blend them with data from every other channel you run.

🚀 Ready to connect AppsFlyer to ChatGPT? Connect AppsFlyer to Windsor.ai and start asking ChatGPT about your mobile app data today.