TFTER is a utility app for Teamfight Tactics players that provides meta-data, team-building tools, and player scouting on iOS.
Product velocity
Maintenance
Daily rank 🇺🇸
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Utilities
Sentiment
4.1
22 reviews
Nemesis
Fragmented field
The App DNA
What makes this app unique?
Users hire TFTER to quickly access winning team compositions and scout opponents, reducing the time spent manually researching meta shifts. The centralized data contract saves players from navigating multiple external websites.
For Teamfight Tactics players ranging from beginners to veterans who require meta-data and scouting tools to improve their rank.
What does it look like?
Key features
Curated team setups updated per patch to reflect top-ranked player data. Revenue link: High-frequency content updates drive daily app sessions.
Tool for users to create, customize, and save team setups with synergy and item management. Revenue link: Personalized save-states increase user investment.
Embedded live video feeds from elite players to demonstrate gameplay tactics. Revenue link: Increases time-in-app via video consumption.
How much does it cost?
The app operates as a free utility, likely monetizing through ad-inventory generated by frequent user sessions.
Velocity
Maintenance developmentnew contentShow more...
With only one release in the last 116 days, the app operates at a maintenance cadence. Development is strictly tied to the seasonal rotation of the underlying game, with no evidence of feature iteration or live-ops engagement between set launches. The latest release was limited to data preparation for TFT Set 17, indicating a reactive rather than proactive development cycle.
Who built it?
User Sentiment
What do users think recently?
Fresh user feedback skews excited. Users appreciate the core application experience provides high value for players seeking detailed game data.
How are ratings & reviews evolving?
What users say, by theme
- The core application experience provides high value for players seeking detailed game data
- Missing specific searchable traits within the interface limits the utility for advanced players
1 of 1 recent reviews analyzed · limited sample
Read the full review analysisCompetition
Competitive landscape for TFTER - TFT Comps & Meta
How's the Utilities market?
TFTER maintains a 4.1★ rating across 22 reviews, serving as a niche utility for TFT players. The lack of frequent updates suggests a maintenance-mode posture that limits its ability to capture broader market share from more active competitors.
Read the market outlookThe rivals identified
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Access the full report for freeThe Analyst's Read
Key takeaways for TFTER - TFT Comps & Meta
Where is it heading?
The meta-data utility market is consolidating around apps with high-frequency update cadences. TFTER remains exposed to churn because its current release cycle only triggers during major set drops, so the PM must diversify feature value beyond patch-day updates to stabilize retention.
- The latest release focused solely on new set data, indicating a maintenance-heavy strategy that risks losing engagement between major patches.
- High user praise for data management suggests a solid core, but missing search features limit the app's utility for advanced players.
The SWOT
- Centralized meta-data and scouting tools drive daily session frequency.
- Personalized composition save-states increase user investment and retention.
- Implement advanced trait-based search to capture power-user retention.
Next best moves
Ship trait-based search in builder because users report difficulty finding specific game traits → increase power-user retention
The counter-intuitive read
The app's maintenance-mode status is a strategic choice…
Read the full takeSince the last report: The app's functional state remains unchanged, but the intelligence report now more clearly identifies the risks of its maintenance-only strategy regarding user churn.
Bottom line
TFTER provides high-value data for casual players, but the lack of advanced search functionality and a slow update cadence threaten its long-term retention, so the PM should prioritize trait-filtering to secure power-user loyalty.
Unlock 2 critical frictions, 1 market threat and the analyst’s take.
Access the full report for freeSources
- [1] App Store, source
Report last updated