- Revenue Tracking
- Retention Tracking
- Cohort Analysis
Monitor app performance and optimise for growth
(15 ratings)
Starts from $9.99/Month
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8.2/10
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Appfigures makes it easy to collect and analyze iOS, Android and Amazon app store data. It syncs to iTunes connect, Google Play Developer Console and Amazon developer account. Realtime live data is updated daily so views can be consolidated any ... Read More
Revenue tracking is used to identify which marketing channels, landing pages, and keywords bring in the most money for your company. Because revenue does not reflect an explicit, defined action made by your visitors like clicks or page views, it is usually not your key metric. On the other hand, tracking revenue is a terrific method to link your optimization efforts to the metrics that matter most to your firm. A sort of custom event objective is revenue tracking goals. A revenue target keeps track of the monetary value of an event on your website and assigns it to a particular version. For example, you might use this to see how different variations affect total revenue and compare it to the number of buy events.
Retention measures how often your product is used over a set period of time. You can, for example, check at retention for a specific event throughout the last week and see how retention changed on each day of that week. The amount of customers retained by a company over a certain length of time is measured by the customer retention rate. The percentage of existing customers that continue to conduct business with you over time is measured by your customer retention rate. It's one of the most significant indicators for determining customer loyalty, and it should be a key performance indicator (KPI) for determining whether your loyalty marketing initiatives are effective.
Cohort analysis is an analytical approach that categorizes and splits data into groups with similar characteristics. This method is commonly used to help firms isolate, analyze, and uncover patterns in a user's lifetime, improve user retention, and better understand user behavior in a specific cohort. Customer cohort analysis is highly beneficial in marketing and business use cases. For example, analysts can determine whether or not the average customer's quality is improving across the customer lifetime by looking at patterns in cohort expenditure over time. The term for this procedure is "lifetime value cohort analysis."
Starts from $9.99
Yearly plans
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Connect (Analytics)
$9.99
/Month
$9.99 /mo.
5 Apps — then $1.99 each
0 Keywords
0 Premium Competitors
Download and revenue tracking for all of your apps
Subscription analytics
Ad revenue & spend analytics
Global ranks, ratings, and featured tracking
Monitor (Analytics)
$29.99
/Month
$29.99 /mo.
5 Apps — then $1.99 each
100 Keywords
0 Premium Competitors
App Store Optimization
Daily keyword ranks update from all countries
Keyword popularity and competitiveness scores
Discover keywords you're currently ranked in
Optimize (Analytics)
$149.99
/Month
$149.99 /mo.
5 Apps — then $1.99 each
500 Keywords
0 Premium Competitors
Smarter ASO Tools
Hourly keyword rank updates from all countries
X-Ray Search results in real-time with intelligence
Uncover new keyword opportunities with Related Keywords
Grow (Analytics)
$299.99
/Month
$299.99 /mo.
5 Apps — then $1.99 each
2,500 Keywords
Premium Competitors
App Intelligence
Download estimates from 100 countries with daily granularity and high accuracy
Revenue estimates from 40 countries with daily granularity and high accuracy
SDK Intelligence for iOS and Android apps
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Appfigures makes it easy to collect and analyze iOS, Android and Amazon app store data. It syncs to iTunes connect, Google Play Developer Console and Amazon developer account. Realtime live data is updated daily so views can be consolidated any time of day. AppFigures is one-stop shop for data, analytics and insights.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta