When to Fix Your Product vs. When to Run UA

The framework for deciding whether to invest in product improvements or user acquisition. Learn when each makes sense and how to avoid wasting budget.

Justin Sampson
When to Fix Your Product vs. When to Run UA

When to Fix Your Product vs. When to Run UA

The most common growth mistake is trying to solve a product problem with paid acquisition.

When retention is weak, founders often think "we just need more users to find the ones who stick." When engagement drops, the instinct is to acquire more engaged users.

But paid UA doesn't fix product issues. It amplifies them.

Here's how to decide whether to invest in product improvements or user acquisition.

The Core Framework

The decision comes down to one question: Are your existing users finding enough value to stick around?

If yes, acquisition makes sense. You're adding fuel to a fire that's already burning.

If no, acquisition is pouring water on a wet pile of wood. You'll burn budget without building momentum.

When to Fix Product First

Signal 1: Retention Is Below Minimum Thresholds

Retention is the clearest signal of product-market fit. If users don't return, you don't have a product worth scaling.

Minimum viable thresholds:

  • Day 1 retention: 40%+
  • Day 7 retention: 20%+
  • Day 30 retention: 10%+

Below these benchmarks, paid UA becomes a retention tax. You're constantly replacing churned users instead of compounding growth.

What to do:

Focus on understanding why users leave. Run user interviews, analyze drop-off points, and improve onboarding and core engagement loops before scaling acquisition.

Signal 2: Retention Is Actively Declining

Even if you're above minimum thresholds, declining retention signals a product problem that will compound as you scale.

How to spot this:

Compare retention curves across cohorts. If newer cohorts show worse D7 or D30 retention than older cohorts, something changed for the worse.

Common causes:

  • New feature that disrupted core experience
  • Increased competition pulling users away
  • Technical issues (crashes, bugs, performance degradation)
  • Shifted user acquisition source bringing lower-intent users

What to do:

Diagnose the cause and fix it before scaling spend. Continuing to acquire users during a retention decline accelerates churn and worsens unit economics.

Signal 3: LTV:CAC Is Below 2:1

Unit economics tell you whether acquisition is profitable. An LTV:CAC ratio below 2:1 means you're barely covering costs, leaving no margin for growth or error.

Why 2:1 is the floor:

  • Attribution isn't perfect (5-10% error margin)
  • Fraud exists in most channels (5-20% of volume)
  • CACs typically rise as you scale
  • You need margin to reinvest in growth

What to do:

If LTV:CAC is below 2:1, you have two options:

  1. Improve monetization: Increase ARPU through better conversion flows, pricing, or upsells
  2. Reduce CAC: Improve app store conversion, creative performance, or targeting

Both are product and optimization work, not acquisition work.

Signal 4: Engagement Is Low or Declining

Retention measures whether users come back. Engagement measures whether they do anything valuable when they do.

Key engagement metrics:

  • Sessions per user: How often do users open the app?
  • Session length: How long do they stay?
  • Feature adoption: What percentage use core features?
  • Time to first value: How quickly do new users experience the core benefit?

Red flag:

Users return but don't engage deeply. This signals a habit without value, which eventually breaks.

What to do:

Focus on activation and engagement loops. Get users to core value faster and create more frequent engagement triggers.

Signal 5: App Store Conversion Rate Is Below 25%

If your app store page converts below 25%, driving more traffic just exposes more people to a broken conversion funnel.

Average benchmarks:

  • App Store (iOS): 33.7% page view to install
  • Google Play (Android): 26.4% page view to install

Impact:

A poorly converting page effectively increases your CAC. If you're paying $2 per app store visit and converting at 20%, your effective CPI is $10. Improve conversion to 30% and your CPI drops to $6.67 with zero increase in media spend.

What to do:

Optimize screenshots, preview video, and app description before scaling paid traffic. This is faster and cheaper than improving campaign performance.

Signal 6: You Have Unresolved Critical Bugs

Paid UA surfaces product quality issues quickly. If your app has crashes, broken flows, or major UX problems, acquired users will churn immediately and leave bad reviews.

Crash-free rate threshold: 99%+

Why this matters:

Poor ratings lower app store conversion rates, creating a negative feedback loop. Bad reviews from paid users compound CAC over time.

What to do:

Fix critical bugs and achieve a crash-free rate above 99% before scaling spend. Use tools like Firebase Crashlytics or Sentry to monitor stability.

When to Run UA Instead

Signal 1: Retention Curves Are Flat or Improving

If retention curves flatten (cohorts stabilize at similar retention levels) or improve over time, your product is working. Acquisition compounds existing value.

What this looks like:

  • D7 retention is 25% for cohorts from 3 months ago
  • D7 retention is 26% for cohorts from 2 months ago
  • D7 retention is 27% for cohorts from last month

Why this matters:

Improving retention means product improvements are working. Scaling acquisition during this phase multiplies impact.

Signal 2: LTV:CAC Is Above 3:1

An LTV:CAC ratio of 3:1 or higher signals profitable acquisition with room for scale.

Why 3:1 is the green light:

  • Margin for attribution uncertainty
  • Buffer for rising CACs as you scale
  • Room to reinvest in creative and optimization

What to do:

Scale budgets on profitable channels while maintaining or improving unit economics. Use incrementality testing to ensure added spend drives marginal growth.

Signal 3: Organic Channels Are Saturated

If you've maxed out organic growth levers (ASO, content, referrals, partnerships), paid UA is the next scalable channel.

How to identify saturation:

  • Organic install volume has plateaued for 2+ months
  • You've optimized app store page and rankings
  • Content and referral channels show diminishing returns

What to do:

Start paid UA at small scale to test new audience sources, then scale winners.

Signal 4: You Have Clear Product Differentiation

In crowded markets, product differentiation determines whether paid UA works. If your app offers something meaningfully better or different than competitors, acquisition spending makes sense.

How to validate differentiation:

  • User reviews mention specific features competitors lack
  • You have a unique value proposition that resonates in messaging
  • Creative tests show strong engagement on differentiated messaging

Why this matters:

Without differentiation, you're competing on price (lower CPI) and saturation (higher spend). Both are losing strategies.

Signal 5: Competitive Dynamics Require Scale

In some markets, user acquisition is defensive. If competitors are aggressively acquiring users and you're not, you lose market share and visibility.

When this applies:

  • Category with network effects (social, marketplace, communication apps)
  • Winner-take-most dynamics (limited slots in app store top charts)
  • High competitor spend creating market saturation

What to do:

Even if unit economics aren't ideal, maintaining acquisition presence prevents market share erosion. Just ensure LTV:CAC is above 1:1 to avoid subsidizing growth indefinitely.

The Hybrid Approach: Running UA While Improving Product

You don't always need to choose one or the other. In many cases, the right strategy is both.

When to Run Small-Scale UA During Product Improvements

Scenario: Your retention is acceptable but not great (D7 around 18-22%). You're working on product improvements but don't want to lose momentum.

Approach:

  • Run UA at small scale ($5,000-$10,000/month) to maintain learning and channel presence
  • Focus spend on highest-quality channels (Apple Search Ads, high-intent keywords)
  • Don't aggressively scale until product metrics improve
  • Use paid cohorts to test product improvements faster

Benefit:

You keep campaigns optimized and maintain platform learning while giving product improvements time to show impact.

Cross-Team Collaboration

The most effective growth teams don't silo product and acquisition. They work in parallel:

Product team focuses on:

  • Improving retention and engagement
  • Optimizing onboarding and activation
  • Increasing monetization and LTV

UA team focuses on:

  • Finding high-quality user sources
  • Optimizing creative and targeting
  • Reducing CAC through better conversion

Both teams share:

  • Weekly cohort performance reviews
  • Monthly full-funnel analysis
  • Quarterly strategic planning

This approach ensures product improvements inform acquisition strategy and acquisition insights inform product roadmap.

Decision Matrix

MetricFix Product FirstRun UA
D7 RetentionBelow 20%Above 25%
LTV:CAC RatioBelow 2:1Above 3:1
Retention TrendDecliningFlat or improving
App Store CVRBelow 25%Above 30%
Crash-Free RateBelow 99%Above 99.5%
EngagementLow or decliningStable or growing

Common Mistakes

Mistake 1: Running UA to "Find Product-Market Fit"

Paid UA doesn't help you find product-market fit. It helps you scale after you've found it.

Why this fails:

You burn budget acquiring users who churn, giving you noisy data and no sustainable growth.

The fix:

Use organic channels and small user cohorts to iterate toward product-market fit. Only scale acquisition after retention proves the product works.

Mistake 2: Pausing All UA When Metrics Dip

If retention drops 2-3 percentage points, you don't need to shut down all campaigns. But if it drops 10+ points, something broke.

The nuanced approach:

  • Small dips (2-5 points): Investigate but maintain spend on best channels
  • Medium dips (5-10 points): Reduce spend while diagnosing cause
  • Large dips (10+ points): Pause aggressive scaling until issue is fixed

Mistake 3: Ignoring Organic Performance When Evaluating Paid

If your organic users have 30% D7 retention but paid users have 15% D7 retention, the issue isn't the product—it's targeting or creative.

What this signals:

Paid campaigns are attracting the wrong users or setting wrong expectations.

The fix:

Improve targeting, test new creative angles, or focus on higher-intent channels (like Apple Search Ads) that attract users actively looking for your category.

FAQs

Should I pause UA campaigns if retention is declining?

If retention is actively declining across cohorts, reduce UA spend while you diagnose and fix the product issue. Continuing to scale acquisition during a retention decline accelerates churn and worsens unit economics.

What retention rate indicates I should focus on product instead of UA?

If Day 7 retention is below 20% or Day 1 retention is below 40%, prioritize product improvements. Below these thresholds, acquisition costs compound too quickly relative to lifetime value.

Can I run UA and improve my product at the same time?

Yes, if retention is stable and you have sufficient resources. Run small-scale UA campaigns ($5,000-$10,000/month) to maintain learning while investing in product improvements. Just don't aggressively scale spend until product metrics improve.

How long should I wait after fixing product issues before resuming UA?

Wait until you see 2-3 cohorts (typically 2-4 weeks) showing improved retention before scaling spend. This validates that improvements are durable, not temporary.

What if my competitors are running UA but my product isn't ready?

If LTV:CAC is above 1:1 and retention is acceptable (D7 above 15%), maintain small-scale UA presence to avoid losing market share. But don't aggressively scale until metrics improve.


Paid UA is an amplifier. Make sure you're amplifying something worth scaling.

user acquisitionproduct-market fitretentionmobile appsgrowth strategy

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