{"id":178,"count":0,"description":"","link":"https:\/\/tenjin.com\/ja\/glossary\/k-factor\/","name":"K-Factor","slug":"k-factor","taxonomy":"glossaries","parent":0,"meta":{"status":["1","1"],"order":["0","0"],"glossary_term_description":["
\r\n\r\nDefinition:<\/b>\r\n\r\nK-factor is a mobile growth metric that measures an app's virality by calculating how many new users each existing user generates through referrals, shares, and word-of-mouth. A K-factor above 1 means your app is growing organically on its own momentum.<\/span>\r\n\r\nFormula:<\/b>\r\n
K-Factor = Invites Sent per User (i) \u00d7 Conversion Rate per Invite (c)<\/span><\/pre>\r\n<\/div>\r\n
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What is K-Factor?<\/b><\/h2>\r\nK-factor is a metric that measures how viral your mobile app is. It tells you how many new users each existing user brings in through organic sharing, referrals, and word-of-mouth. That means no paid acquisition is used at all.\u00a0<\/span>\r\n\r\nThe higher your K-factor, the more your existing user base is doing your growth work for you.<\/span>\r\n\r\nK-factor originated in epidemiology, where it was used to measure how quickly a disease spreads from one person to the next. Mobile marketers borrowed the concept to measure how quickly an app spreads through organic user behavior. The principle is the same: one person influences others, who becomes an influencer<\/a> and influences others, and so on.<\/span>\r\n\r\nIn simple terms, K-factor answers one question: is your app sustaining itself or does it need a paid boost?<\/span>\r\n\r\nTwo apps with identical user acquisition budgets can have dramatically different growth trajectories depending on their K-factor. An app with a strong K-factor compounds its paid growth with organic momentum. An app with a weak K-factor relies entirely on spending to grow.<\/span>\r\n\r\nExample:<\/b> A ride-sharing app acquires 1,000 users through paid campaigns. Those users refer to friends, who refer to more friends. If the K-factor is 0.5, each cohort of users generates half as many new users organically. That compounds over time without additional spend. A fitness app with the same 1,000 paid users but a K-factor of 0.1 generates far fewer organic users from the same starting point.<\/span>\r\n\r\nNote:<\/b> Do not confuse K-factor with organic uplift<\/a>. Both are organic-focused metrics, but they measure different things.<\/span>\r\n\r\n\r\n<\/span>Organic uplift measures the correlation between paid installs and organic installs.<\/span>\r\n\r\n\r\nK-factor measures how many new users each existing user directly generates through sharing and referrals.<\/span>\r\n
Calculation of K-Factor: Formula<\/b><\/h2>\r\nK-factor is calculated by multiplying the number of invites each user sends by the conversion rate of those invites:<\/span>\r\n
K-Factor = i \u00d7 c<\/span><\/pre>\r\n \r\n\r\nWhere:<\/b>\r\n\r\ni = average number of invites or shares sent per user<\/span>\r\n\r\nc = conversion rate of those invites (percentage of recipients who install)<\/span>\r\n\r\nExample: <\/b>A podcast app user named Jack loves the app and shares it with 5 friends.<\/span>\r\n\r\ni = 5 (invites sent per user)<\/span>\r\n\r\nOf those 5 friends, 2 download the app. The other 3 already have a podcast app and ignore the invite.<\/span>\r\n\r\nc = 2\/5 = 0.4 (40% conversion rate)<\/span>\r\n\r\nK = 5 \u00d7 0.4 = 2<\/span>\r\n\r\nA K-factor of 2 means every existing user generates 2 new users. That is exceptional. Your initial 100 users would generate 200 more, who generate 400 more, and so on. In practice, K-factor is always tempered by churn and the natural decline of referral chains over time \u2014 but the compounding principle holds.<\/span>\r\n
K-Factor in Practice<\/b><\/h2>\r\nUnderstanding the formula is one thing. Seeing how K-factor plays out across different app types is another. Here is how the K-factor works in practice.<\/span>\r\n
Social or Community App<\/span><\/h3>\r\nA group chat app is built around inviting others. Sharing is a core feature, not an afterthought.<\/span>\r\n