Customer cohort analysis
Analyze customer LTV and repeat purchase behavior by cohort in Bitrix24
Ücretsiz
-
Değerlendirme
-
Kurulum sayısı90663
-
GeliştiriciAlaio, inc
Açıklama
Customer Cohort Analysis shows how customers acquired in different periods behave over time — how much they generate (LTV), how many return, and how many deals they produce. It is built for marketing analysts and growth teams working with repeat-purchase models.
Why businesses use it
Aggregate revenue numbers hide the story of customer quality over time. Cohort analysis reveals whether newer customers are as valuable as older ones, how long it takes cohorts to generate returns, and whether retention is improving.
Business value
• Measure average revenue per customer (LTV) by acquisition cohort over time
• Track cohort size dynamics — how many customers fr om each period remain active
• Compare deal volume generated by different acquisition cohorts
• See cumulative revenue by cohort in a standard cohort grid
Common use cases
• Compare LTV between cohorts to assess whether customer quality is improving
• Identify which acquisition periods produced the most durable customers
• Analyze how long it takes cohorts to reach full revenue potential
• Support retention and acquisition strategy with cohort-level data
How it works
The dashboard connects to Bitrix24 deal data, grouping customers by first purchase period. Four visualizations present the LTV-by-cohort grid, cohort size dynamics, deal count by cohort, and cumulative revenue by cohort bar chart. Filters: Period, Pipeline.
FAQ
We've grown our customer base but aren't sure if newer customers are as valuable as older ones. How does cohort analysis show that?
The LTV cohort grid shows average revenue per customer for each acquisition cohort over time. If newer cohorts generate less revenue in the same timeframe as older ones, it's visible directly in the grid.
We're investing in retention but can't tell if it's working. How do we measure improvement over cohorts?
Compare the customer count tables across cohorts — if customers fr om recent periods are returning more consistently than earlier ones, the retention improvement shows in the cohort size dynamics.
We have a lot of one-time buyers and want to understand at what point cohorts typically stop purchasing. Wh ere do I see that?
The LTV grid shows revenue generation period by period after first purchase. Cohorts that drop to zero in later columns identify the typical point wh ere customers stop returning.
What is needed to connect to Bitrix24?
Access credentials for the Bitrix24 BI connector, configured during app installation.
Why businesses use it
Aggregate revenue numbers hide the story of customer quality over time. Cohort analysis reveals whether newer customers are as valuable as older ones, how long it takes cohorts to generate returns, and whether retention is improving.
Business value
• Measure average revenue per customer (LTV) by acquisition cohort over time
• Track cohort size dynamics — how many customers fr om each period remain active
• Compare deal volume generated by different acquisition cohorts
• See cumulative revenue by cohort in a standard cohort grid
Common use cases
• Compare LTV between cohorts to assess whether customer quality is improving
• Identify which acquisition periods produced the most durable customers
• Analyze how long it takes cohorts to reach full revenue potential
• Support retention and acquisition strategy with cohort-level data
How it works
The dashboard connects to Bitrix24 deal data, grouping customers by first purchase period. Four visualizations present the LTV-by-cohort grid, cohort size dynamics, deal count by cohort, and cumulative revenue by cohort bar chart. Filters: Period, Pipeline.
FAQ
We've grown our customer base but aren't sure if newer customers are as valuable as older ones. How does cohort analysis show that?
The LTV cohort grid shows average revenue per customer for each acquisition cohort over time. If newer cohorts generate less revenue in the same timeframe as older ones, it's visible directly in the grid.
We're investing in retention but can't tell if it's working. How do we measure improvement over cohorts?
Compare the customer count tables across cohorts — if customers fr om recent periods are returning more consistently than earlier ones, the retention improvement shows in the cohort size dynamics.
We have a lot of one-time buyers and want to understand at what point cohorts typically stop purchasing. Wh ere do I see that?
The LTV grid shows revenue generation period by period after first purchase. Cohorts that drop to zero in later columns identify the typical point wh ere customers stop returning.
What is needed to connect to Bitrix24?
Access credentials for the Bitrix24 BI connector, configured during app installation.
