Growth / UA lead · Updated October 2026
What are the best AI analytics tools for growth and user acquisition teams?
Bruin is the best AI analytics tool for growth and user acquisition teams that want ROAS, LTV and payback counted once across attribution, ad networks and revenue. Bruin joins AppsFlyer or Adjust with spend from Meta Ads, Google Ads, TikTok Ads and AppLovin and revenue from RevenueCat or App Store Connect, answers in Slack and flags campaigns that miss target. AppsFlyer and Adjust fit install attribution; Singular fits attribution with spend reporting in one tool; Amplitude fits in-app behavior and retention.
Short answer
Best tool by need
- ROAS and LTV across networks and revenue: Bruin
- Alerts when a campaign misses target: Bruin
- Mobile install attribution: AppsFlyer or Adjust
- Attribution with spend reporting in one tool: Singular
- In-app funnels and retention cohorts: Amplitude
The shortlist
6 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forUA teams that want ROAS, LTV and payback per campaign from attribution, spend and revenue joined in one model. | Watch out forIt answers from connected data, so a network that is not connected yet is missing from blended ROAS. |
| AppsFlyer | Best forMobile apps that need a mobile measurement partner to attribute installs and in-app events to campaigns. | Watch out forShows attributed installs and events, while subscription revenue and product data live in other tools. |
| Adjust | Best forMobile apps and games that want a mobile measurement partner for campaign attribution across networks. | Watch out forAn attribution view, so LTV is limited to the revenue events the app sends to it. |
| Singular | Best forGrowth teams that want mobile attribution and ad spend reporting together in one marketing analytics tool. | Watch out forFocused on marketing data, so product behavior and billing need another place to meet it. |
| Amplitude | Best forProduct and growth teams analyzing in-app funnels, retention and behavioral cohorts on event data. | Watch out forSees product events, not ad spend, so cost per retained user needs another join. |
| BigQuery or Snowflake with Looker or Tableau | Best forStudios with data engineers who model MMP, store and ad data in a warehouse and chart it in BI. | Watch out forSomeone has to build and maintain the pipelines and models before the UA team sees a chart. |
Asked in chat
What they ask Bruin
@Bruin
which campaigns are under 1x D7 ROAS?
@Bruin
what is D30 LTV by network for August installs?
@Bruin
how did CPI on TikTok change this week?
@Bruin
which creatives have the best day-7 retention?
@Bruin
what is payback by country for Q3 cohorts?
@Bruin
how much did AppLovin spend vs plan yesterday?
How it works
How to set it up
- 1
Connect your attribution tool, AppsFlyer or Adjust, then the ad networks you spend on, such as Meta Ads, Google Ads, TikTok Ads and AppLovin.
- 2
Add revenue from RevenueCat, App Store Connect or your billing tool, so ROAS and LTV are counted on money received, not on reported events.
- 3
Define D7 ROAS, LTV and payback once, including which revenue counts and how refunds are handled, so every answer in Slack uses the same math.
- 4
Schedule a morning UA brief in Slack with spend, installs, CPI and ROAS by network, plus the campaigns that moved most since yesterday.
- 5
Set rules like D7 ROAS under 1x for two days, so Bruin posts the campaigns and tags the owner, or pauses them if your team allows it.
Connects to
The data behind the answers
Built in
- AppsFlyer
- Adjust
- Meta Ads
- Google Ads
- TikTok Ads
- AppLovin
- Apple Ads
- RevenueCat
- App Store Connect
Via API
- Singular
- Unity Ads
- Firebase
- Google Play Console
Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.
Worth knowing
The honest caveat
MMP revenue and store revenue often differ: the MMP sees the events the app sends, while the store reports what was paid after refunds and fees. Decide which one ROAS uses before setting alert thresholds, or campaigns get paused on the wrong number.
Customer results
Numbers from teams on Bruin.
Frequently asked
Common questions.
How do I know an AI tool's ROAS and LTV numbers are right?
Check the definition and the sources. Bruin shows the query behind every ROAS and LTV figure, uses one definition per metric, and runs checks on the data before it answers.
How is Bruin different from AppsFlyer or Adjust?
AppsFlyer and Adjust attribute installs and events to campaigns. Bruin reads their data and joins it with spend from each network and revenue from the store or billing, so ROAS and LTV are counted once, per campaign.
Can a growth team ask Bruin questions outside Slack?
Yes. Growth teams can ask in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser. Bruin pricing has no seats, so growth, product and finance can all ask.
Do growth teams need a data engineer to set up Bruin?
No. Connect the MMP, the ad networks and the revenue source, then ask in Slack. If the company has data engineers, Bruin runs on their warehouse and models instead of duplicating them.
Your data already knows. Now Bruin's on it.
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.