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How much does Agave Matchmaker earn?

Android app from S2F Online, Inc. · Lifestyle

ML forecast ★ 3.1 · 410 Free

~274/mo

ML revenue forecast. Calibrated against 51929 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Agave Matchmaker screenshot 1 Agave Matchmaker screenshot 2 Agave Matchmaker screenshot 3 Agave Matchmaker screenshot 4

Agave Matchmaker's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Agave Matchmaker sits in Lifestyle

Revenue distribution of 51929 comparable apps. Agave Matchmaker highlighted.

Agave Matchmaker vs comparable apps

Revenue trajectory side-by-side. Bold = Agave Matchmaker, ghosted = peers.

App spec

Version
2.5.20
Last update
Dec 22, 2025
Launched
May 31, 2013
Price
Free
Monetization
Free

What Agave Matchmaker actually does (from store listing)

Agave Matchmaker (the app formerly known as "Tequila Matchmaker") is the only rating system smart enough to detect your personal preferences and match you with tequilas and other agave spirits that are right for you. Each has its own "flavor fingerprint," and each person has his or her own flavor preferences. Our proprietary matching algorithm uses nine different characteristics to find the best matches for you. Oh, and it gets smarter as you use it. Agave Matchmaker is a product of TasteTequ…
Read full description →

Comparable Android apps

The five apps in Lifestyle with the closest revenue to Agave Matchmaker. Click any to see its detail page.

AppRevenueRatingRatings
Egg Timer icon Egg Timer 274 ★ 3.0 218
PeTrace - Lost Pets icon PeTrace - Lost Pets 274 ★ 4.3 337
Complexo Tatuapé icon Complexo Tatuapé 274 0
URBAN RESEARCH -ファッション通販アプリ icon URBAN RESEARCH -ファッション通販アプリ 274 ★ 2.2 870
StyLock Provider icon StyLock Provider 274 ★ 4.4 130
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Agave Matchmaker's tracker page for current rating, reviews and snapshot timeline.

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