Cohort Report - Everflow Helpdesk

Learn how to use Everflow's Cohort Report to understand how users interact with your campaigns (Offers/Ads) over time and how long it takes them to take important actions.

Overview

The Cohort Report answers a simple but crucial question: how long does it take for people to convert after they click your ad?

This isn't just academic curiosity - it's practical information that affects how you run your business. If you know most conversions happen within the first week, you can make smarter decisions about campaign testing, budget allocation, and when to pause underperforming traffic.

The report shows you day-by-day breakdowns of when conversions happen. You might find that most people convert on day 1, but there's a steady trickle of conversions that continue for weeks afterward. Or maybe you'll discover that hardly anyone converts immediately, but there's a big spike on day 7 when people get their paychecks.

Understanding these patterns helps you avoid common mistakes like shutting down campaigns too early or not giving new traffic sources enough time to prove themselves.

Why Use It?

See Time Patterns: Understand how long users take to convert.
Track User Behavior: See how different groups of users act over time.
Find Trends: Spot patterns in how users interact with your campaigns.
Better Marketing: Use real data to improve your strategies.

Accessing The Report

Find and open the Cohort Report in Everflow.

In your Everflow dashboard, navigate to the Analytics section in the main menu.

Select Cohort from the reporting options.

Setting Up Your Report

Configure the date range, metrics, and filters for your Cohort Report.

Select your desired date range (up to 30 days)

Choose the top-level metric (e.g., Clicks) and the secondary metric (e.g., CV)

Apply any additional filters

, such as Offer, Advertiser, Partner, etc.

Click Run Report

Interpreting The Results

Analyze the data presented in the Cohort Report.

The Cohort Report presents data in a grid format, with each row representing a cohort based on the top-level metric and each column representing a day within the selected date range.

The two first columns show the date of the top-level metric and the metrics itself (e.g., click date)

Subsequent columns show the number of secondary metrics (e.g., conversions) that occurred on each day following the top-level metric

The "Day 1" column represents the number of secondary metrics that occurred on the same day as the top-level metric

"Day 2" shows the number of secondary metrics that occurred one day after the top-level metric, and so on

Advanced Features

Action

Description

Copy Link to Report

Click "Copy Link to Report" in the three-dot menu

to share the report with colleagues or bookmark it for quick access

Show API Request

Select "Show API Request" to view the API call used to generate the report

Save

Use the "Save" option to save your report configuration for future use

Load

Click "Load" to access previously saved report configurations

Schedule Report

Select "Schedule Report" to set up automated report generation and delivery

Request Report

Choose "Request Report" to submit a request for a report in CSV or JSON for bigger ranges of data (60 days, 120 days, etc.)

A Real-Life Example

Let's say you're testing a new media buying campaign and want to know how long to run it before deciding if it's profitable.

Set up your analysis

Choose "Clicks" as your top-level metric and "Conversions" as your secondary metric

Run it for the last 30 days to get a complete picture

Filter to the specific offers you're testing

What you might discover

You could find that 60% of your conversions happen on day 1, another 25% happen within the first three days, but then you get steady conversions for up to two weeks. There might even be some outliers who convert on day 17 - maybe they're more careful shoppers who take time to make decisions.

Use this intel strategically

Now you know to test new campaigns for at least 7 days before making major decisions

You can set more accurate expectations with partners about when they'll see results

If you're doing media buying, you understand you need to wait a full conversion cycle before optimizing

You can identify which traffic sources deliver quick conversions versus those that take longer (and adjust payouts accordingly)

This report basically tells you the story of your customer journey timing. Instead of guessing whether a campaign needs more time or should be killed, you have data showing exactly when to expect results.

Bottom Line

The Cohort Report shows you when people convert after they first click your ads. It's essential for understanding your conversion timeline - like knowing most users convert within 3 days, but some take up to 2 weeks. This helps you set realistic expectations and know how long to test campaigns before making decisions.

Explore Related Content

Explore these complementary reports to gain further insights into your data.

➔ Flex Report: Review a pivot table in which you may group and slice data by selecting one or more columns.
➔ Dynamic Nested Report: View two layers of data, of your choosing, in one nested view.
➔ Variance Report: Easily compare the performance of two different time periods on data points.

Did This Help You Today?