How Do I Attribute Revenue to RCS Campaigns?

RCS Revenue Attribution: Tracking What Matters

Attribution is where most businesses get it wrong with RCS. They look at last-click and miss the bigger picture. Here's how to do it right.

Why RCS Attribution is Tricky

RCS often assists conversions rather than driving last-click:

• Customer sees RCS offer
• Clicks, browses, leaves
• Returns via email or direct
• Purchases (attributed to email or direct, not RCS)

Multi-device journeys complicate tracking:

• Customer opens RCS on phone
• Purchases on laptop later
• Last-click attribution misses RCS influence

Time-lag conversions:

• RCS drives awareness that converts days later
• Last-click attribution gives credit to whatever happened last

Attribution Models to Use

Last-Click Attribution (Baseline)

• 100% credit to final touchpoint before conversion
• Easy to implement
• Undervalues RCS significantly

First-Click Attribution

• 100% credit to first touchpoint
• Good for measuring RCS acquisition effectiveness

Linear Attribution

• Equal credit to all touchpoints
• Better for multi-channel journeys

Time-Decay Attribution

• More credit to touchpoints closer to conversion
• Good for short sales cycles

Position-Based (U-Shaped) Attribution

• 40% to first, 40% to last, 20% distributed middle
• Good middle ground for RCS campaigns

Data-Driven Attribution

• Uses ML to assign credit based on impact
• Most accurate, requires significant data volume
• Best for high-volume RCS campaigns (100K+ messages)

UTM Tagging Strategy

Tag every RCS link with UTM parameters:

Standard UTM structure:

https://yourcompany.com/product?utm_source=rcs&utm_medium=messaging&utm_campaign=cart_recovery&utm_content=carousel_v2

UTM parameters to use:

• utm_source=rcs (always RCS)
• utm_medium=messaging (messaging channel)
• utm_campaign=campaign-name (specific campaign)
• utm_content=variant-name (A/B test variant)
• utm_term=segment (audience segment)

Multi-Touch Attribution in Practice

Example customer journey:

1. Day 1: RCS promotional, opens it (RCS impression)
2. Day 1: Clicks product link, browses site (RCS click)
3. Day 2: Email follow-up, opens it (email open)
4. Day 3: Clicks email link, adds to cart (email click)
5. Day 3: Purchases (conversion)

Last-click: 100% credit to email Position-based: 40% RCS, 40% email, 20% browsing Linear: 33% to each touchpoint

Conversion API Integration

Server-side tracking is more reliable:

• Most RCS platforms offer conversion APIs
• Send events: click, conversion, purchase, custom
• Include: timestamp, user ID, campaign ID, conversion value

Measuring Lifetime Value Impact

RCS often drives higher LTV beyond first conversion:

• Track over 30/60/90/180 days
• Repeat purchase rate
• Average order value
• Subscription renewal rate
• Customer retention

Typical findings:

• RCS customers have 20-40% higher LTV
• Repeat purchase rate 15-25% higher
• Lower churn rate

Incrementality Testing

The gold standard for attribution:

1. Split audience into test (gets RCS) and control (doesn't)
2. Measure conversion rate for both groups
3. Difference = true RCS impact

Example:

• Test: 5% conversion
• Control: 3% conversion
• RCS incremental lift: 67%

The Bottom Line

Don't rely on last-click attribution for RCS. Use UTM tagging, conversion APIs, multi-touch attribution, and incrementality testing to understand true RCS impact.

The truth is usually: RCS drives more value than last-click shows. Multi-touch attribution reveals the full story.