{"id":18647,"date":"2026-09-25T23:18:40","date_gmt":"2026-09-25T23:18:40","guid":{"rendered":"https:\/\/tenjin.com\/?p=18647"},"modified":"2026-09-25T23:18:44","modified_gmt":"2026-09-25T23:18:44","slug":"plan-mix-monthly-vs-annual-subscriptions","status":"publish","type":"post","link":"https:\/\/tenjin.com\/ja\/blog\/plan-mix-monthly-vs-annual-subscriptions\/","title":{"rendered":"Plan Mix Changes Everything: Measuring Monthly vs Annual Subscriptions"},"content":{"rendered":"

Campaigns vary in their types of success: they can spend the same amount of spend and get a similar number of paying users. However, each campaign produces its own patterns of user behavior and revenue streams. One campaign could bring in mostly annual subscribers and receive bigger payments upfront. The other campaign might attract mostly monthly subscribers and only see renewal behavior much later. <\/p>\n\n\n\n

In this article, we\u2019ll take a look at monthly versus annual subscription plan types and how their plan mix changes everything: billing intervals, when users can review, and which early signals a UA team can trust.<\/a> Focusing on composite measures like total subscribers hides many of these nuances. Accurate subscription reporting connects plan and product types to both the campaign level and spend data. <\/p>\n\n\n\n

Compare LTV Based on the Plan\u2019s Timeline<\/h2>\n\n\n\n

Usually annual plans collect more revenue on the first transaction. Monthly plans are associated with a lower first payment, but they reach renewal checkpoints sooner. But, neither pattern proves that one campaign has better long-term value. <\/p>\n\n\n\n

A fair comparison uses the same cohort maturity, separates first-payment revenue from renewal revenue, and breakdown performance by Product ID. It treats plan mix as context and the share of monthly annual, and other products within a campaign. Plan mix explains why otherwise similar campaigns could produce different revenue curves. <\/p>\n\n\n\n

How Monthly and Annual Plans Affect Campaign Analysis<\/strong><\/h2>\n\n\n\n

When users pay and their cadence is the main difference between monthly and yearly subscribers, but the payment cycles are important and affect every part of campaign analysis.<\/p>\n\n\n\n

What changes<\/strong><\/td>Monthly subscription<\/strong><\/td>Annual subscription<\/strong><\/td>UA implication<\/strong><\/td><\/tr>
Upfront commitment<\/td>\u4e0b\u3078<\/td>\u3088\u308a\u9ad8\u3044<\/td>Monthly may convert more users<\/td><\/tr>
First payment<\/td>Usually smaller<\/td>Usually larger<\/td>Annual campaigns can look strong early on<\/td><\/tr>
First renewal opportunity<\/td>Usually within weeks<\/td>Usually near the end of the year<\/td>Monthly campaigns show renewal signals sooner<\/td><\/tr>
Billing decisions<\/td>More frequent<\/td>Less frequent<\/td>Monthly subscribers have more opportunities to renew or stop paying<\/td><\/tr>
Main analysis risk<\/td>Treating early renewals as proof of lifetime value<\/td>Treating upfront revenue as proof of retention<\/td>Judge each signal within the billing interval that produced it<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Billing cycles simply add another layer. For example, many annual plans advertise a lower monthly price and require a larger first payment. In the long run, this affects conversions by market, audiences, and ad creatives. The goal is to learn the patterns that emerge from each campaign to the type of audience it attracts, how much that audience has paid so far, and if those outcomes support your overall goals. <\/p>\n\n\n\n

How Plan Mix Changes Campaign Rankings<\/h2>\n\n\n\n

Let\u2019s take two campaigns: Campaign A is mostly annual; Campaign B is mostly monthly. In the first week, Campaign A takes the lead in terms of revenue because each annual transaction brings in more money. By Day 60 however, Campaign B may catch up since monthly renewals start accumulating. A total revenue number might rank campaigns in a dashboard, but it doesn\u2019t really explain why there were changes or their cause. <\/p>\n\n\n\n

Product ID is a dimension that can help fill in those gaps. It identifies which subscription product, plan, tier, or another offer tied to an event. It offers an explanation for rank change and where it comes from: whether it came from acquisition, different pricing, billing length, or a combination of those factors. <\/p>\n\n\n\n

Separating different dimensions like Product ID, especially by plan mix, prevents teams from optimizing too quickly. A campaign for annual campaigns still has no chance to renew at Day 90 or even Day 180. If a monthly-plan focused campaign has a strong Day 60 renewal revenue, it\u2019s encouraging but in order to compare the two, you still have to wait to describe a full year value. <\/p>\n\n\n\n

How UA Teams Should Measure Subscriptions <\/h2>\n\n\n\n
Question<\/strong><\/td>Observation<\/strong><\/td>Importance<\/strong><\/td><\/tr>
Which campaign acquires paid users more efficiently?<\/td>Spend, New Subscriptions, cost per New Subscription<\/td>Shows acquisition efficiency<\/td><\/tr>
Which campaign can recover ad spend faster?<\/td>New Subscription Revenue + early ROAS<\/td>Highlights the impact of larger annual first payments<\/td><\/tr>
Which campaign retains recurring payments better?<\/td>Renewals + Renewal Revenue<\/td>Separates ongoing value from the first payment<\/td><\/tr>
How much revenue has the campaign earned so far?<\/td>All Subscriptions Revenue<\/td>Combines new + renewal revenue<\/td><\/tr>
Which plans drove the results?<\/td>Product ID and plan mix<\/td>Explains the billing interval behind the numbers<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

The number of subscribers and the amount of revenue should be kept separate. It makes it easier to see if the campaign is winning in terms of new subscribers, but earning less revenue. Want to know more about which metrics count and which subscription KPIs to use? To find out more read our article, \u201c5 Subscription KPIs to Watch Before You Scale User Acquisition.<\/strong><\/a>\u201d<\/strong><\/p>\n\n\n\n

Worked Example: Same Spend, Different Plan Mix<\/h2>\n\n\n\n

Let\u2019s look at another example using Day 60 results of two different campaigns that each started off with $5000 spend. <\/p>\n\n\n\n

Result at Day 60<\/strong><\/td>Campaign A (mostly annual)<\/strong><\/td>Campaign B (mostly monthly)<\/strong><\/td><\/tr>
\u65b0\u898f\u30b5\u30d6\u30b9\u30af\u30ea\u30d7\u30b7\u30e7\u30f3<\/td>450<\/td>600<\/td><\/tr>
Cost per New Subscription<\/td>$11.11<\/td>$8.33<\/td><\/tr>
\u65b0\u898f\u30b5\u30d6\u30b9\u30af\u30ea\u30d7\u30b7\u30e7\u30f3\u53ce\u76ca<\/td>$7,200<\/td>$4,800<\/td><\/tr>
\u66f4\u65b0\u53ce\u76ca<\/td>$160<\/td>$2,320<\/td><\/tr>
Total Subscription Revenue<\/td>$7,360<\/td>$7,120<\/td><\/tr>
Day 60 ROAS<\/td>147%<\/td>142%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Campaign A had fewer subscribers but high early revenue because it earned more annual plans. Campaign B has more subscribers coupled with stronger revenue renewal. But, it depends on whether the campaign prioritized faster payback or lower acquisition costs and ongoing renewals in order to truly determine the winner. It should be noted that users in Campaign A still haven’t had the chance to renew. It is better to wait until Campaign A has a renewal opportunity before making an annual retention claim. <\/p>\n\n\n\n

How to Analyze a Campaign-Level Workflow<\/h2>\n\n\n\n
    \n
  1. Start with the business decision and goal.<\/strong>

    Decide on the main priority and goal. Are you trying to scale a campaign, test an offer, forecast payback, or earn renewal revenue sooner? A weekly budget decision may rely on the first-payment revenue and early ROAS<\/a>. However, a pricing decision usually needs a longer view of renewals<\/a> \u3068 cancellations<\/a>.

    <\/li>\n\n\n\n
  2. Breakdown your campaigns by Product ID.\u00a0<\/strong>

    Double-check which products your users selected before comparing blended totals. To do this, look at your results by Product ID, which allows you to look at the plan mix. This shows whether a gap comes from more subscribers, a different plan mix, or better values within the same plan.\u00a0

    <\/li>\n\n\n\n
  3. Compare equally matured cohorts.<\/strong>

    Do campaign comparisons over the same time window. Use Day 30 vs Day 30, Day 60 vs Day 60, or another shared timeline. This prevents more mature campaigns from gaining an edge simply because their subscribers have had more time to pay. It\u2019s almost important to note which renewal checkpoints were possible for each plan mix.\u00a0<\/li>\n<\/ol>\n\n\n\n
      \n
    1. Separate first-time revenue from renewal revenue.<\/strong>

      The first payment is the first sign of value. Renewal value shows continued value. Together they support ROAS. Yet, by keeping them separate helps you find out what explains winning or losing. Please see       Tenjin\u2019s reporting subscription guide<\/strong><\/a> for more on this topic.\u00a0<\/li>\n<\/ol>\n\n\n\n
        \n
      1. Add more context to the picture: channel, country, creatives.\u00a0<\/strong>

        Use Product ID breakdowns to compare campaign-level dimensions like campaign, network, country, and creative. Just because a campaign earns more annual subscriptions in one country, doesn\u2019t mean that it will work in other regions or tiers.

        <\/li>\n\n\n\n
      2. Turn results into actionable steps.\u00a0<\/strong>

        Scale when campaigns meet your defined value threshold or relevant payback period. If your annual count is strong but conversion is weak, test the paywall or value framing. If monthly         \u30b3\u30f3\u30d0\u30fc\u30b8\u30e7\u30f3<\/a> are efficient but renewals are weak, investigate and adjust audience fit, onboarding, product use, and offer expectations. Most data collected can help locate a problem, but finding the cause is a matter of digging deeper.\u00a0<\/li>\n<\/ol>\n\n\n\n
          <\/ol>\n\n\n\n

          Connect Plan Types to Campaign-Level Performance<\/h2>\n\n\n\n

          Connecting your campaign outcomes to acquisition data is when plan mix becomes very useful. If a campaign brings in mostly annual subscribers and another mostly monthly subscribers, it\u2019s important to see how that difference affects conversion, revenue, renewals, and payback per campaign. <\/p>\n\n\n\n

          For those connected to an MMP, that means making sure your plan includes native subscription reporting that combines subscriber lifecycle events (trials, new subscriptions, renewals, cancellations) with attribution and spend data. For the campaign side, Product ID gives plan-level context, with dimensions like campaign, ad network, country, and others to show where subscribers came from.<\/p>\n\n\n\n

          Tenjin\u2019s native iOS Subscription Revenue Reporting<\/a> brings trials, new subscriptions, renewals, cancellations, and revenue into the same reporting environment as campaign performance. This subscription reporting<\/a> allows teams to compare monthly and annual subscriptions across equivalent observation windows rather than relying on blended revenue totals. <\/p>\n\n\n\n

          Tenjin also supports RevenueCat<\/a> \u3068 Adapty<\/a> integrations for teams that already use those platforms and want to connect supported subscription events<\/a> with acquisition data.<\/p>\n\n\n\n

          \u3088\u304f\u3042\u308b\u8cea\u554f<\/h2>\n\n\n\n
          Is an annual subscription better than a monthly subscription for UA?

          <\/strong>

          There is no better in this scenario. Annual plans usually earn more money upfront. Monthly plans make it easier to convert and show renewal behavior sooner. The better outcome is based on your conversion, payback, and long-term goals.\u00a0

          <\/p> <\/div>

          How should UA teams compare monthly vs annual subscriptions?

          <\/strong>

          Comparisons should be made using the time window, separate new vs renewal revenue, and breakdowns by Product ID. Don\u2019t analyze annual retention between the annual renewal date.

          <\/p> <\/div>

          How do trials affect a monthly vs annual comparison?

          <\/strong>

          Trials can delay the first paid event and also influence which type of plan users select. Therefore, it\u2019s important to separate trial-based sign-ups from non-trial sign-ups. For a broader comparison of these plan types, see Free Trial vs. Freemium vs. Paid Subscriptions<\/a>.

          <\/p> <\/div>

          Does Tenjin show subscription revenue by campaign?

          <\/strong>

          Yes. Tenjin’s native iOS reporting links subscription activity with campaign, ad network, country, Product ID, and other acquisition dimensions. RevenueCat and Adapty are also supported for teams that use those platforms and want subscription events connected to Tenjin attribution.

          <\/p> <\/div> <\/div>\n\n\n\n

          No More Switching <\/h2>\n\n\n\n

          Monthly and annual plans create different paths from acquisition spend to realized revenue. The best comparisons are not after which made more conversions, it’s about finding patterns for the campaigns that capture a certain type of plan or offer. It\u2019s also about discovering how much you can earn from paid subscribers within a certain budget window. These two outcomes are what guide your next move for campaigns and budget. <\/p>\n\n\n\n

          <\/p>","protected":false},"excerpt":{"rendered":"

          Campaigns vary in their types of success: they can spend the same amount of spend and get a similar number of paying users. However, each campaign produces its own patterns of user behavior and revenue streams. One campaign could bring in mostly annual subscribers and receive bigger payments upfront. The other campaign might attract mostly…<\/p>","protected":false},"author":26,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[91,8],"tags":[],"class_list":["post-18647","post","type-post","status-publish","format-standard","hentry","category-metrics","category-mobile-marketing-trends"],"acf":[],"yoast_head":"\nMeasuring Monthly vs Annual Subscriptions | Tenjin<\/title>\n<meta name=\"description\" content=\"Learn how monthly vs annual subscriptions affect conversion, renewal timing, revenue, and campaign performance for mobile apps.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tenjin.com\/ja\/blog\/plan-mix-monthly-vs-annual-subscriptions\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" 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