Amplitude Integration for Marketing Analytics: Product Insights and Campaign Attribution in One Briefing

Amplitude Integration for Marketing Analytics: Product Insights and Campaign Attribution in One Briefing

The Prooflytics Amplitude integration connects your product analytics to your paid campaign performance - giving your daily AI briefing a complete picture from ad click to user activation, retention, and revenue. Amplitude tracks what users do inside the product; Prooflytics connects that behaviour back to the campaigns that acquired those users, and the ad spend that funded them.

Amplitude is a product analytics platform used primarily by SaaS and mobile app teams to measure user behaviour, funnel conversion, and retention. For performance marketers, the critical data in Amplitude is not the raw events - it's the downstream outcomes: which cohorts activate, which retain at 30 days, and which convert to paid.

Key takeaways

Cohort Retention Curves Are the Metric That Reveals Genuine Engagement Versus Trial-and-Abandon

Amplitude's day-1, day-7, day-30, and day-90 retention by acquisition month is the metric that distinguishes genuinely engaged users from trial-and-abandon users. A 30-day retention rate of 38% versus 12% across two campaign cohorts is a larger performance signal than any CPL comparison.

Activation Rate Is the Most Important Post-Click Quality Metric for SaaS Campaigns

A campaign with 400 signups at 12% activation rate is outperformed by one with 180 signups at 41% activation rate in terms of activated users - but the ad platform ranks the first campaign higher by conversion volume. Only Amplitude data surfaces the correct ranking.

Time-to-Activation Median Identifies Onboarding Friction That Ad-Platform Data Cannot Detect

A 14-day median time-to-activation on a product designed to deliver value in the first session signals a critical UX gap costing marketing efficiency at every spend level. The gap exists between signup and activation - invisible to ad platforms, visible in Amplitude event sequences.

Drop-Off Rate Per Funnel Step by Acquisition Source Identifies Campaigns Sending Disengaged Users

A channel with high signup volume but 80% drop-off at step 2 of onboarding is generating unactivated accounts, not product engagement. Connecting this to the specific ad or campaign identifies which acquisition sources are producing the problem.

Multi-Feature Adoption in the First Seven Days Predicts Two to Three Times Higher LTV

Users who adopt three or more core features within the first 7 days retain at rates two to three times higher than single-feature users. Campaigns that drive multi-feature adoption - identifiable via Amplitude cohort analysis - produce higher LTV per acquisition dollar than campaigns that drive signups alone.

What data Prooflytics pulls from Amplitude

User and cohort data

• New user counts by acquisition date and UTM source (when UTM capture is configured)
• Cohort retention curves: day 1, day 7, day 30, day 90 retention by acquisition month
• Activation rate - percentage of users who reach the defined activation event

Funnel data

• Funnel step completion rates for key conversion flows (signup to activation to paid)
• Drop-off rate per funnel step by acquisition source
• Time-to-activation median - how many days from signup to activation milestone

Engagement metrics

• Session frequency by cohort and acquisition channel
• Feature adoption rates for product milestones
• Churned cohort behaviour - events that occurred (or didn't) before churn

What you can do once Amplitude is connected

Find which campaigns produce high-retention users. Industry research across 252 companies shows top-quartile marketing teams measure downstream user quality, not just CPL. Amplitude's retention curves by cohort, connected to campaign UTM data, show whether users from a specific campaign have 38% or 12% day-30 retention. That difference determines whether the campaign's actual CAC (acquisition cost ÷ retained users) is competitive.

Calculate activation-adjusted CAC. Raw CAC = ad spend / signups. Activation-adjusted CAC = ad spend / activated users. For most SaaS products, only 20-50% of signups reach the activation milestone. If Campaign A has CPL of $18 and 45% activation rate, activation-adjusted CAC is $40. Campaign B with CPL of $26 and 70% activation rate has activation-adjusted CAC of $37 - a better campaign despite higher CPL.

Identify onboarding friction by traffic source. Different acquisition channels bring users with different intent and prior knowledge. Users from branded search complete onboarding steps at 2-3× the rate of broad audience campaign users. Amplitude shows where each traffic segment drops out of your onboarding funnel. Prooflytics surfaces these drop-off points in the briefing alongside the spend data for the traffic source causing the drop-off.

Monitor expansion conversion by cohort. For SaaS with plan upgrades, the 90-day upgrade rate by acquisition cohort determines true LTV. Amplitude tracks the upgrade event; Prooflytics connects it to campaign origin - so you see which campaigns generate users who not only activate but eventually pay more.

Amplitude is rarely the only analytics tool in the stack. Teams using Amplitude for product events typically also connect Segment as the upstream event router and GA4 for session-level attribution - Prooflytics pulls all three into one view so you stop reconciling numbers across tabs. Teams that previously used Windsor.ai to join Amplitude data with ad spend metrics find the same cross-source joins available natively in Prooflytics.

Analytics maturity - the ability to move from tracking activity to measuring outcomes - requires more than a product analytics tool. It requires the marketing data stack that connects acquisition spend to the activation events Amplitude records. For the framework on building that joined stack, see the marketing analytics guide.

Analytics maturity in product analytics contexts means moving beyond event tracking into connected marketing intelligence - understanding not just which acquisition cohorts activated, but why performance shifted and what external signals drove the change. For the full definition of what separates analytics from marketing intelligence, see the guide to marketing intelligence.

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Analytics maturity and Amplitude integration

The 'CLASSIFICATION: 8 LEVELS OF CUSTOMER ANALYTICS MATURITY' framework describes Level 6 as the point where organisations use predictive models to anticipate customer behaviour and intervene proactively. Connecting Amplitude to your paid campaign reporting is a Level 5-6 move: you stop measuring campaigns by their own reported conversions and start measuring them by verified downstream outcomes.

Most marketing teams using Amplitude are operating at Level 3-4 for paid attribution: they know how many signups each channel drove (Level 3), and they can segment by channel (Level 4), but they can't answer "which channel produces users who retain at 30 days?" without a manual Amplitude analysis. Prooflytics automates that connection and surfaces it daily.

For performance marketers, this changes two decisions: which campaigns to scale (based on retention-adjusted ROI, not CPL) and which audience segments to target (based on which segments produce users who activate and retain, not just users who click).

How to connect Amplitude to Prooflytics

1. Go to Settings to Data Sources in your Prooflytics dashboard
2. Find Amplitude in the Analytics section and click Connect
3. In Amplitude, go to Settings to Projects to [your project] to General and copy the API Key and Secret Key
4. Enter both keys in Prooflytics
5. Select your Amplitude project
6. Amplitude data appears in your next morning briefing

Permissions required: Amplitude API Key and Secret Key from your project settings. These are project-scoped - you'll need separate keys for each Amplitude project if you have multiple products.

Most common issue: if cohort data shows no UTM attribution, Amplitude does not automatically capture UTM parameters. Your client-side or server-side code must explicitly pass UTM values as user properties when users arrive. The standard implementation uses Amplitude's identify() call to set utm_source, utm_campaign, and utm_medium as user properties on first session.

Sync frequency: Amplitude data syncs daily at 04:00 UTC.

Heap and Amplitude serve adjacent product analytics use cases. Amplitude is typically chosen by teams that want granular event schema design and product experimentation built in; Heap is chosen by teams that want retroactive analysis of events they never explicitly instrumented. For teams evaluating both, the Heap marketing analytics guide covers how auto-captured Heap event data connects to acquisition channel performance in Prooflytics and what activation benchmarks apply to PLG SaaS products.

Pendo is a frequent alternative or complement to Amplitude for product teams that need in-app guidance alongside analytics. While Amplitude focuses on event-driven behavioral analysis and experimentation, Pendo combines analytics with NPS feedback and in-app tooltips - useful for teams where the same platform manages both measurement and user education. The Pendo marketing analytics guide covers how feature adoption rates and Product Engagement Score from Pendo connect to acquisition channel performance in Prooflytics.

Bottom line

• Retention-adjusted CAC by campaign - see which campaigns produce users who stay, not just users who sign up
• Activation rate per traffic source - find the acquisition channels that produce users who reach the product milestone
• Onboarding funnel drop-off by channel - surface where each traffic segment abandons onboarding
• Analytics maturity uplift - move from CPL reporting to downstream outcome measurement

You can read independent reviews of Prooflytics on G2 and compare it to alternatives in the marketing analytics category.

Connect Amplitude at Settings to Data Sources to Amplitude or start a 14-day free trial to see which campaigns produce your best users.