Monetization Analysis

First Purchase Analysis

Attribution and optimization of first-payment behavior: diagnose the root cause of a declining first-purchase rate, design a first-purchase bundle strategy, and optimize the new-user payment-guidance path so the first payment is no longer hard.

IndustriesGamesE-commerceSubscription

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Core$15

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First Purchase Analysis is a monetization-analysis capability in ThinkingAI's industry Skill library. It helps game operations teams diagnose the root cause of a low or declining first-purchase rate (first-payment conversion), design first-purchase bundles and guidance strategies, and use user segmentation and price anchors to make a new user's first payment decision smoother. This is ThinkingAI's decade of industry experience, packaged into ready-to-use Skills.

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New-user first-purchase rate has been 2.5% for almost a year, and I hear the industry average is 6%. We keep optimizing the gacha pool and tutorial levels, but first purchases barely move. Help me see which step the new user's first payment is actually stuck at.

Confirm the first-purchase definition: first payment completed within 30 days of registration

112,384 new users over the last 90 days, first-purchase rate 2.5%

Tally the timing distribution of first purchases

61% of first purchases happen within 72 hours of registration

Four-step attribution: exposure / appeal / trust / reachability

Analyze the first-purchase order-amount distribution

64% of first-purchase orders are ≤$10

Generate a guidance-path and price-tier plan

Figured out. It's stuck at step one: 65% of new users never see your first-purchase bundle at all (7-day exposure rate just 35%), and among those who do see it and click, nearly 60% are turned away by the single $30 tier before payment. Optimizing the gacha pool can't solve either of those.

1. When first purchases happen

First-purchase timing distribution after registration　Unit: %

61% of first purchases cluster within 72 hours of registration (31% + 18% + 12%), the golden window for first purchase. But your first-purchase bundle sits on a second-level store page with no active guidance during onboarding; by the time users wander to it themselves, the window has long since closed.

2. Four-step attribution

Step	Metric	Value	Diagnosis
Exposure rate	Bundle exposure within 7 days for new users	35% (benchmark 80%+)	Main bottleneck: entry is 3 clicks deep, no scenario pop-up
Appeal	Exposure → click	24% (benchmark 30%)	On the weak side, copy not aimed at new-user needs
Trust	Click → start payment	42% (benchmark 65%)	Only a single $30 tier, the entry threshold is too high
Reachability	Start → complete payment	71% (benchmark 75%)	Basically normal

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Multiplying the four steps: 35% × 24% × 42% × 71% ≈ 2.5%, matching the overall first-purchase rate. The trust step has a corroborating clue: 64% of first-purchase users' first orders are ≤$10 (mostly small direct buys); new users' psychological ice-breaking line sits around $6, and the $30 bundle jumps right over it.

3. Action plan

1.Raise the store entry from 3 clicks to the top-level page, and show a limited-time first-purchase pop-up after the first PvE clear, pushing guidance into the 72-hour golden window, with an exposure-rate target of 35% → 72%

2.Change the first-purchase bundle to $6 / $15 / $30 tiers with $6 as the default recommended slot, targeting the trust step 42% → 58%

3.Leave the appeal and reachability steps alone for now; fix the two main bottlenecks first, then reassess

Recommendation

Estimating along the path: 72% × 24% × 58% × 71% ≈ 7.1%, taking the first-purchase rate from 2.5% past the 6% industry average. One reminder: the first-purchase bundle's goal is to build first-payment trust, not to maximize single-purchase revenue. The $6 tier looks unprofitable, but the paying base it buys is the foundation for all later monetization depth.

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The problem

First-purchase rate is the first door of the monetization system, yet most teams understand that door poorly. Among products with a first-purchase rate below 3%, more than 70% of teams attribute the problem to "not enough product appeal" and keep optimizing game content, but 3 months later the rate usually rises only 0.3 to 0.5 percentage points, because a low first-purchase rate is usually a payment-guidance path problem rather than the product itself. First-purchase conversion involves four stages, exposure, appeal, accessibility, and trust, and drop-off at each stage can exceed 50%.

What it does

Four-stage first-purchase attribution: exposure rate, appeal, accessibility, and trust, investigating the bottleneck stage by stage

First-purchase bundle strategy design: match price anchors by user segment, covering three tiers, a $6 entry tier, a $15 core tier, and a $30 advanced tier

New-user payment-guidance path optimization: the best timing and guidance from registration to first purchase, shortening the first-purchase decision cycle

When to use it

Root-cause diagnosis when the first-purchase rate is below the industry benchmark

Emergency investigation when the first-purchase rate drops suddenly

Planning first-purchase bundles and guidance strategy before a new game launch

Optimizing first-purchase bundle pricing and content design

Experience optimization of the new-user payment-guidance path

In the field

Case

A card game · first-purchase path optimization

The first-purchase rate held at 2.5% for a long time, far below the 6% industry average. Four-stage attribution found exposure was only 35%, the $30 first-purchase bundle was priced too high, and the store entry took 3 clicks to reach. The team promoted the store entry to a top-level page, changed the first-purchase bundle to a $6/$15/$30 three-tier offer, and triggered a limited-time first-purchase popup after the first PvE clear. The first-purchase rate rose from 2.5% to 7.2% and the paying-user base grew 2.8x within 3 months.

FAQ

What is the difference between first-purchase rate and payment rate?

First-purchase rate is the conversion from never having paid to the first payment. Payment rate is "paying users that day / active users that day." First-purchase rate focuses on breaking the ice and is the starting point of the monetization system.

What price should the first-purchase bundle be?

It cannot be one-size-fits-all. Low-spend groups need a $6 entry tier and mid-spend groups need a $15 core tier. The first-purchase bundle's primary goal is to build first-payment trust, not to maximize single-transaction revenue.

When is the best time for first-purchase guidance?

Usually after finishing onboarding, after the first clear of a core level, or when a payment-need scenario first arises. The best timing varies by genre and needs to be judged from data.

Precise LTV through curve fitting

LT Prediction (User Lifetime Prediction)

Estimate average user lifetime in days

LTV Payback Period Prediction

Predict whether spend will pay back

LTV Analysis and Monitoring

Diagnose the root cause of LTV drops