Your ASO gets smarter over time.
Keep a history of every metadata change, keyword and decision, so each new move builds on what worked before.
- Subtitle change measuredPositive impact · 86% confidenceToday
- Subtitle changedNow “Expense tracker & budget planner”14 Sep
- Decision recordedTarget “expense tracker” in the subtitle12 Sep
- Competitor changed its titleNow targets “budget planner”2 Sep
- Keyword discoveredexpense tracker28 Aug
One history for every ASO move.
Four layers of memory that build up with every change you make.
- 01
Metadata history
Every version of your title, subtitle, keyword fields and creatives.
See how - 02
Keyword history
When each keyword was found, targeted and used, and how it ranked.
See how - 03
Strategy history
What you changed, why, who approved it and what happened.
See how - 04
Learning engine
Past outcomes that shape the next recommendation.
See how
Never lose the context behind a change.
Track historical versions of:
- Title
- Subtitle
- Keyword fields
- Descriptions
- Screenshots
- Icons
- Other supported store metadata
Compare any two versions to see what changed.
- Title
- No change
- Subtitle
Budget & bills, simplified
Expense tracker & budget planner
- Keyword field
- budgetbillsexpensemoneysavingplanner
- Screenshots
- 1 of 6 replaced
- Description
- No change
Know when a keyword became part of your strategy.
For each keyword, understand:
- 1When it was discovered
- 2When it was targeted
- 3Where it was used
- 4How rankings changed
- 5What happened afterward
Every ranking keeps the story of how it got there.
Remember why you made the decision.
Record:
- What changed
- Why it changed
- Who approved it
- Expected outcome
- Actual outcome
Your strategy becomes an accumulated playbook rather than a collection of disconnected decisions.
- What changed
- Subtitle → “Expense tracker & budget planner”
- Why it changed
- “expense tracker” had high demand, but we ranked only #48.
- Who approved it
- Growth lead
- Expected outcome
- Top 30 within 4 weeks
- Actual outcome
- #27 in 3 weeksMet
Your past results can improve future recommendations.
Over time, ASO Sensor can learn from your app's historical outcomes.
- 1Results of past changes
- 2The pattern it found
- 3Its next recommendation
The intended Learning Engine uses historical outcomes to improve future recommendations and reduce repeated unsuccessful actions.
Build your app's ASO memory.
Start with your app and discover your ASO opportunities.