Summary

Choose Application/Game
Category  Today This Week This Month  Yesterday Last Week Last Month  Changes from Yesterday Changes from last Week Changes from last Month 
Daily Active Users 156,501 142,891 13,610
1-Day Retention 56.32% 54.28% 2.04%
2-Day Retention 44.65% 43.30% 3.35%
7-Day Retention 40.34% 39.10% 1.24%
New Users 26,009 24,054 1,955
Monthly Active Users 689,452 645,212 44,240
DAU as % of MAU 22.70% 22.15% 0.55%
ARPU $6.427 $6.327 $0.107
ARPPU $37.597 $37.127 $0.477
Average Session Length (HH:MM) 19:02 18:09 00:30
Average Number of Sessions Per User 59.00 62.00 -3.00
K-Factor 0.5 0.51 -0.01
 

Daily Active Users

# of Daily Users  Change in Daily Users  % increase/decrease in daily users 
116,899 13,610 1.32%
 

Retention

Vs | + Add More
1-day retention 1-week retention
% # % Change % # % Change
10.30% 22,290 -2.40% 10.30% 22,290 -2.40%
 

New Users

# of New Users  Change in New Users  % increase/decrease in New users 
26,009 1,955 1.32%
 

Monthly Users

# of Monthly Users  Change in Monthly Users  % increase/decrease in Monthly users 
689,452 44,240 1.32%
 

DAU as % of MAU

DAU as % of MAU  Change in %  % increase/decrease 
22.70% 0.55% 1.01%
 

ARPU

ARPU  Change in ARPU  % increase/decrease in ARPU 
$6.420 $0.10 1.32%
 

ARPPU

ARPPU  Change in ARPPU  % increase/decrease in ARPPU 
$37.597 $0.477 1.32%
 

Average Session Length (HH:MM)

Average Session Length  Change in Average Session Length  % increase/decrease in Session Length 
19:02 00:30 1.32%
 

Average Number of Sessions Per User

Average Number of Sessions Per User  Change in Average Number of Sessions Per Users  % increase/decrease in Average Number of Sessions Per user 
59.00 -3.00 1.32%
 

K-Factor

Total invites sent  # Accounts Sending N invites  % Sending N Game Invites  Total recruits from invites  # Successfully Recruiting  % Successfully Recruiting 
16,899 2,390 1.32% 16,899 2,390 1.32%

Summary

Where the basics come together. Here you'll find a summary of basic metrics for your title, including details on usage, retention, social activity, and revenue.

Summary

Get a bird's-eye view of the basics. This table summarizes the performance indicators included in Basic Metrics. Detailed visualizations for each indicator can be found below. Learn more >

Daily Active Users

Analyze the number of daily active users and how usage is changing over time. Learn more >

New Users

Examine trends and changes over time in the number of new users. Learn more >

Monthly Users

Check how many monthly active users you have and how their number changed over time. Learn more >

DAU as % of MAU

This ratio shows you how many of your monthly active users also fall into the category of daily active users. Learn more >

ARPU

How much do you earn from your users? This number indicates the average revenue per user, and includes those who do not spend. Learn more >

ARPPU

This number shows the average revenue per paying user. Monitoring this number is particularly helpful for determining how different pricing models work. Learn more >

Session Length

On average, how much time does a user spend using your title? Are they engaged? Monitoring session length over time can give you an idea of how new features impact user engagement. Learn more >

Average Number of Sessions Per User

Are people coming back? How often are they doing so? This is another measure of engagement to track over time. Learn more >

K-Factor

A simple measure of virality. K-factor is the number of invitations sent x their % success rate. A k over 1 indicates growth. Learn more >

Messages

Understand how messaging between users is trending and changing over time. Learn more >

Posts

Discover if and how the number of user posts changes overtime. Learn more >

Retention

How long are people continuing to use your title over time? Here you can analyze your user retention rates. Learn more >

Welcome to Basic Metrics!

Welcome to Basic Metrics!

This is just the beginning.

Basic Metrics allows you to view common baseline measurements for your title so you can analyze usage, retention, social activity, and revenue.

Get started and use this package to:

  1. Identify your most influential traffic sources and quantify their impact based on users and revenue.
  2. Analyze both virtual (in game) sales and real sales to understand purchasing trends over time.
  3. Discover how your customers share socially through invites, messages, and gifting.

Measure customer behavior to learn where your users are coming from and to understand when, where, and who is playing. Analyze engagement to understand session lengths, intervals, and usage over time to better understand user retention.

 
The main dashboard provides you with a high-level overview of activity to measure success and gauge your position period over period, so you know exactly how you're doing. Basic Metrics provides you with the baseline measurements for your title, including details on usage, retention, social activity, and revenue. Funnels allow you to set up a visual representation of any sequence of actions. The typical use is for conversions from acquisition to monetization, but it's a very flexible tool you can use to begin isolating problems and taking action. System Metrics allows you to analyze specific title components to determine what experiences, events, and mechanics are helping or hurting business outcomes like churn, spending, virality, etc., and where improvements can be made. It answers the question "what is and isn't working?" See the past, forecast the future. User Metrics allows you to take advantage of predictive analytics to track, analyze, and forecast user activities so you truly get to know your audience. Social Networks is Katana's super power. Learn not just LTVs, but which users impact other users' bottom line. This influence score changes everything from acquisition to monetization to retention, and the built-in tools let you take action. Enter an Account ID, or a range of IDs, e.g. 1001-1015. For day view, this is straightforward: How many users logged in that day? For weekly and monthly, this is an average over that time period. For day view, this is how many players who started came back at least once the next day. For weekly and monthly, this is the average 1-day retention over that time period. For day view, this is how many players who started two days ago came back at least once two days later. For weekly and monthly, this is the average 2-day retention over that time period. For day view, this is how many players who started 7 days ago came back at least once a week later. For weekly and monthly, this is the average 7-day retention over that time period. This is the total number of new users in the given time period. Monthly active users is the total number of unique users who were active in the calendar month. For the current month, it is those users who were active in the month to date. For Today/This Week/This Month, this is the number of Daily Active Users divided by the Monthly Active Users, given as a %. For example, if the daily actives were 10k and the monthly actives were 40k, then this value is 25% (10k/40k). For "Yesterday," "Last Week" or "Last Month" it's this same calculation going back 30 days back from those time points. For example, the value in "Last Month" is derived by starting 30 days ago and then doing the calculation on the next 30 days back. Average Revenue Per User. For day view, this is the ARPU for that day. For weekly and monthly view this is the average revenue per user over that time period. Average Revenue Per Paying User. For day view, this is the ARPPU for that day. For weekly and monthly view this is the average revenue per paying user over that time period. Reported in hours and minutes, this is the average session length in the given time period. For day view, this is how many sessions players had that day. For weekly and monthly views, this is the average number of sessions all users had over those time periods. K-factor is the number of invitations sent times their % success rate. A k over 1 indicates growth. For daily view, this is the average K-factor reported that day, while for weekly and monthly it's the average over those periods. Since invitations often take more than a day to be acted on, the longer time windows are going to be more meaningful. Based on the 24-hours ending at midnight GMT for this date.