2.0M Assets Tracked Updated 12 min ago Revenue Forecasts
Create Account Sign In
Home Optimize
FBAFTERMATH  icon

How much does FBAFTERMATH earn?

YouTube channel from @terronbeckham · YouTube Channels

✓ Verified MRR ★ 2.8 · 348K → Stable Free

~49/mo

Founder-verified via Stripe Connect or App Store Connect.

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

At a glance

FBAFTERMATH 's revenue trajectory

Forecast revenue from snapshot history. Last 24 months.

Where FBAFTERMATH sits in YouTube Channels

Revenue distribution of 685093 comparable apps. FBAFTERMATH highlighted.

FBAFTERMATH vs comparable apps

Revenue trajectory side-by-side. Bold = FBAFTERMATH , ghosted = peers.

App spec

Launched
May 06, 2026
Price
Free
Monetization
Free

What FBAFTERMATH actually does (from store listing)

Terron F. Beckham (@Fbaftermath) a Fitness and Gaming influence born and raise in Dallas, Tx. My goal is to bring together a healthy and positive community where despite our differences we have a goal to beast out in the gym and live our lives happily. I love gaming, fitness, anime and trying to combine them all with what I do. I Lived in New York for 4 years and even got tryouts from the Jets, and Colts with no college experience, just my hard work and dedication. Now I make training videos …
Read full description →

Comparable YouTube channels

The five apps in YouTube Channels with the closest revenue to FBAFTERMATH . Click any to see its detail page.

AppRevenueRatingRatings
Senza Tempo Cane Corso icon Senza Tempo Cane Corso 49 ★ 2.6 191K
Savithri Samayal icon Savithri Samayal 49 ★ 2.9 525K
Harley-Davidson icon Harley-Davidson 49 ★ 2.8 409K
Motorsports on NBC icon Motorsports on NBC 49 ★ 2.9 708K
KevinGohD icon KevinGohD 49 ★ 2.7 298K
Own FBAFTERMATH ? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.
Claim & verify →

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 FBAFTERMATH 's tracker page for current rating, reviews and snapshot timeline.

Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.
Audit my app →