Evaluate marketing performance

Flexible report for evaluating user acquisition performance and analyzing project data.

Flexible, fast marketing report with calculation of 200 metrics in any data breakdown (countries, platforms, OS version, build version, monetization, etc). The revenue forecast is updated every day. We take into account different commissions.

Marketing Report for Users Analysis

A marketing report is a fundamental tool for the evaluation of user acquisition performance and for project data analysis.

Marketing Report Interface

1. Get Updates on Forecast Every Day

This report works with a predictive model configured by the user. In the forecast model settings, you can choose to auto-update every day based on data for the last 1-6 months or fix any period.

2. Build a Forecast for Each Type of Monetization

The forecasts are built separately for each type of monetization. The minimum threshold for building a forecast is 3 weeks of monitoring and 200 paying users from daily cohorts within this timeframe.

3. Get Prediction

We predict revenue based on user behavior per country if we have sufficient data. Otherwise, we use a general prediction model based on the whole project.

Marketing Report Table

Key Metrics in Any Breakdown

To build a table, you can choose any metrics and breakdowns.

Marketing Report Filters Section

Easy Interface

You no longer need to export huge Excel tables and spend hours working with them. Instead, you can use filters to quickly add the necessary data to your graphs and make an effective comparison of your key metrics to speed things up.

Marketing Report Country Filters

Simple to Prioritize the Data

You can select the data to work with in the filters tab.

Marketing Report Filters

Quick Metrics Comparison

Revenue forecasts can be viewed right in the report. You can compare it with Spend or CPPU (cost per paying user) and other metrics to understand performance quickly.

Marketing Report Metrics Comparison

When working with forecasts, it is important to keep in mind that the revenue prediction is based on actual data. None of the predictive models can take into account factors such as your future app content, monetization events, live ops, or support quality. Your team should know how to manage and operate a product in the long run to achieve your payback period.