# # Calculating LT, LTV and ROI

"Calculate another metric" is an advanced feature of retention analysis, which allows you to gain a deeper insight into retained users and view the performances of these users across other metrics such as LT, LTV and ROI. You may also access to LTV and ROI templates from Template Gallery for quick configuration.

## # Configure LT metric

Life time(LT) measures how many days do the users been active since registration. For example, the LT3 of Feb.29 equals 2.02, representing that the new users of Feb.29 have been active for 2.02 days evenly within three days.

## # Configure LTV metric

Life time value (LTV) measures accumulative payments of a single user starting from registration. Computation of the metric requires "Cumulative average".

Suppose there are M users who complete trigger action on January 1, and the accumulative user average payment over 7 days is equal to the (sum of payments from January 1 to January 7)/M, which is also the 7-day LTV. Similarly, you can also quickly view the 30-day, 60-day and even 180-day LTV.

## # Configure the ROI metric

ROI, an important metric used to evaluate campaign quality and product revenue, is defined as accumulative payment/user acquisition expenditure. ROI increases over time, and an ROI larger than 1 can be deemed that the investment starts to pay back, and the N-th day when it happens represents the end date of the payback period.

Unlike LTV, ROI involves user acquisition expenditure at the date of trigger action, which requires you to enable "Advanced editing". You may configure the metric as per the following conditions:

- Return users' performance: accumulative sum of payment amount of payment events
- Metric on Initial date: the sum of user acquisition expenditures of cost events
- Calculation and display: A ÷ B

## # Limitations on "Calculate another metric"

The pre-setting computational methods of "Return users' performance" on "Calculate another metric" are:

Pre-setting computational methods | Calculation definition |
---|---|

Event totals | Times of events triggered on day/week/month N are added together |

Uniques | Number of users trigger Return event on day N, users will be deduplicated on each day |

Times per user | Event totals / Unique involved in the First Event. |

Cumulative sum of Event totals | Total times of Day0 + Total times of Day1 + ... + Total times of DayN |

Cumulative average of Event totals | Cumulative sum of Event totals / Uniques involved in the First Event. |

Cumulative sum of Uniques | Uniques of Day0 + Uniques of Day1 + ... + Uniques of DayN, Uniques will be deduplicated on each day |

Cumulative average of Uniques | Cumulative sum of Uniques / Uniques involved in the First Event. |

Unlike metrics of Events, you may also select Numerical and Boolean event properties and specific computational methods

- Number properties:

Pre-setting computational methods | Calculation definition |
---|---|

Sum | Value of the Number property of events triggered on day/week/month N are added together |

Per user | Sum / Unique involved in the First Event. |

Cumulative sum | Sum of Day0 + Sum of Day1 + ... + Sum of DayN. |

Cumulative average | Cumulative sum / Unique involved in the First Event. |

True totals, False totals, Null totals, Not null totals

It should be noted that "users" in the "Calculate another metric" are defined as user entities that you selected in retention analysis model, which cannot be switched in the "Calculate another metric".

## # Visualization of "Calculate another metric"

In tables, the "Calculate another metric" are displayed together with the number of retained users and retention rate.

If you have configured the trigger date metric in "Advanced editing", then the table will also show the specific data results of Metric on Initial date.

You may also view only "another metric" under the "N-th Day Retention" and "Daily Retention".