Metrics & Analytics
Attribution
Reviewed by Sonu · OTT & StreamingLast updated: 2026-06-30
Attribution is the process of identifying which marketing channels, campaigns, or touchpoints led a user to install, sign up, or subscribe. It connects acquisition spend to outcomes so you know what's actually driving growth.
Enveu take
Without attribution you're flying blind on acquisition — but beware last-click bias; the channel that 'closes' often isn't the one that created the demand.
MetricAcquisitionMarketing
What it means
Attribution assigns credit for a conversion (install, signup, subscription) to the marketing touchpoints that influenced it. Using tracking links, device identifiers, and an attribution model, it answers 'which campaign drove this subscriber?' — the basis for measuring ROI and reallocating spend.
- Tracks the path from ad/click to conversion
- Uses an attribution model to assign credit
- Feeds CAC and ROAS calculations
Why it matters
Attribution tells you where subscribers actually come from, so you can put budget behind channels that work and cut what doesn't. In streaming, where acquisition cost is high and journeys span ads, app stores, and devices, accurate attribution is the difference between scaling profitably and burning spend on the wrong channels.
Key points
- Links acquisition spend to installs, signups, and subscriptions
- Guides where to allocate marketing budget
- Spans ads, app stores, web, and devices
- Choose a model (last-click, multi-touch) deliberately
How to calculate
Customer acquisition cost (CAC)
CAC = Acquisition spend ÷ New customers acquired
Attribution determines which spend belongs to which channel.
Return on ad spend (ROAS)
ROAS = Revenue from a channel ÷ Spend on that channel
Only as accurate as the attribution behind it.
Directional benchmarks
- Last-click overcredits the closing channel
- Multi-touch spreads credit across the journey
- View-through matters for CTV/upper-funnel
Common pitfalls
- Relying on last-click only
- Ignoring cross-device journeys
- Double-counting across overlapping tools
How to improve
Pick the right model
Match the attribution model to your funnel.
Unify cross-device
Connect web, app, and TV touchpoints.
Validate with incrementality
Use holdout tests to check true lift.
Real-world example
Reallocating spend with better attribution
A service couldn't tell which channels drove subscribers.
Challenge
- Last-click overcredited branded search
- High-funnel channels looked unprofitable
Action taken
- Adopted multi-touch attribution and an MMP
- Ran incrementality holdouts on key channels
Outcome
Budget shifted to channels with real incremental lift, improving CAC payback.
Frequently asked questions
What is attribution in marketing?
It's identifying which channels, campaigns, or touchpoints led a user to install, sign up, or subscribe — assigning credit for the conversion so you can measure ROI.
What's the difference between last-click and multi-touch attribution?
Last-click credits only the final touchpoint; multi-touch distributes credit across the journey. Last-click is simpler but overcredits closing channels and undervalues upper-funnel.
Why is attribution hard for OTT?
Journeys span ads, app stores, web, and multiple devices, and privacy changes limit tracking — making cross-device, model-based attribution and incrementality testing important.
Why is attribution hard for streaming apps?
Signups often span devices — an ad seen on a phone leading to a TV signup — and app stores and CTV platforms limit tracking identifiers. Most services combine attribution SDKs, self-reported sources and incrementality tests rather than trusting one model.
What's the difference between last-click and incrementality?
Last-click credits the final touch before conversion, systematically overvaluing bottom-funnel channels like brand search. Incrementality measures the lift a channel actually causes via holdout tests — slower to run but far closer to true marginal value.
Build it with Enveu
Measure and grow acquisition on Enveu
Track signups and subscriptions with integrated analytics and attribution across web, app, and TV.