Most marketing teams can tell you their email open rate and their SMS click-through rate. What they can't tell you (at least not without pulling reports, cross-referencing spreadsheets, or looping in IT) is how much revenue those channels actually generated together.
When you're running multichannel campaigns, engagement metrics only tell half the story. If you can't connect a "click" to a converted dollar, you're not just missing data. You're likely misallocating budget.
This guide covers how to solve the attribution problem by aligning your conversion tracking with your actual business objectives. So you’ll know exactly where your next dollar of growth is coming from.
Table of contents
The attribution problem: Why clicks don't pay the bills
For many marketing organizations, the "Attribution Problem" is actually a justification problem.
When a Marketing Manager wants to expand budget into a new channel, like SMS or WhatsApp, the first question from leadership is always: "What was the ROI on the last campaign?"
If your tracking only shows that people clicked a link, you can’t prove revenue. This disconnect leads to two major issues:
- The Fragmentation Gap: You see high engagement on Email and SMS, but they appear as "silos." You don’t see how they worked together to nudge the customer toward a sale.
- The "Vanity Metric" Trap: Optimizing for clicks rather than conversions. You might be doubling down on a channel that gets attention but never actually closes the deal.
Without cross-channel attribution, marketing teams often end up cutting the channels that build intent: email nurture sequences, early-stage SMS. Then they over-invest in whatever touchpoint happened to be last.
To solve this, we have to move from tracking actions to tracking outcomes.
Pro tip: For Enterprise teams, the real risk isn't just "wrong data," but over-attribution. If your channels aren't cooperating in your tracking model, you might end up counting the same sale twice across different platforms This leads to an inflated sense of ROI that doesn't match your revenue and erodes leadership trust in marketing data.
What 'Good' attribution looks like
"Good" attribution isn't about finding a perfect mathematical formula; it’s about creating a clear line of sight between a marketing activity and a business goal.
1. Matching metrics to business goals
Before picking a tool, you must pick a "North Star" metric. If you are an e-commerce brand, that’s a Purchase. If you are a B2B SaaS company, it might be a Demo Request or a Trial Signup.
Best practice: Don't track everything. Track the one or two milestones that represent actual business growth. Use Advanced Filters to refine these metrics—for example, only counting "Meeting Booked" events if the associated deal value is over a certain threshold.
2. Understanding Attribution Windows
Timing is everything. If a customer clicks an SMS on Monday but doesn't buy until Sunday, does that SMS still get the credit?
An Attribution Window defines the period during which a conversion is credited to a marketing touchpoint.
- Short windows (1-2 days): Best for flash sales or high-urgency SMS.
- Long windows (7-30 days): Best for high-consideration purchases or B2B sales cycles.
A common mistake is defaulting to a 7-day window for all use cases. A flash sale SMS deserves a 24-48 hour window; a B2B nurture sequence might need 30 days. Mismatched windows lead to either under-crediting channels or inflating attribution.
Choosing your model: Linear vs. Last touch
The "Last Click" model has long been the industry standard, but it’s not the only way to measure success. Depending on how your customers buy, you might need a different lens.
- Last touch: This model gives 100% of the credit to the very last marketing touchpoint the customer interacted with before converting.
- Why use it: It’s clean, easy to understand, and perfect for impulse or direct-response marketing. Perfect for identifying closers—the campaigns that push a customer over the finish line.
- Linear Attribution: This model shares the credit equally across every channel the customer touched during the attribution window.
- Why use it: It recognizes the nurture value. If a customer opened three emails over a week and then clicked an SMS to buy, the Linear model acknowledges that the emails did the heavy lifting of building interest.
Example of the difference:
- Day 1: Contact opens an email.
- Day 4: Contact clicks an SMS.
- Day 6: Contact makes a purchase.
Use Case Rubric: Matching metrics to goals
How should you set up your tracking? Use this rubric as a starting point:
Pro tip: For complex B2B sales, track Revenue Attributes. When setting up your metric, you can map specific event parameters (like order value or plan type) to your conversion. This allows you to see not just that you converted, but the actual dollar value attributed to each channel.
How to build your Multichannel Conversion Engine
In the past, setting up this level of tracking required complex data science or expensive third-party tools. The three capabilities below are what separate a real attribution system from a patchwork of siloed reports. With the Brevo Multichannel Conversion Engine, it's a three-step process:
Define your conversion metrics: Based on your business goals (e.g., "Revenue," "Signups," "Bookings").
Select an event: Choose the specific trigger. This could be a standard purchase, email signup, meeting booked or any custom event.
Track performance: View your results in a single dashboard that aggregates data across Email and SMS, campaigns and automations. View total conversions, total revenue, average conversions per contact, and unique contacts
In short: Data-driven growth
Stop optimizing for clicks and start optimizing for revenue. When you align your tracking with your business goals, you stop spending and start investing.
Brevo's Multichannel Conversion Engine gives mid market and enterprise teams the clarity they need to scale:
- Clear ROI across email & SMS: A single view of conversions across all campaigns and automations.
- Custom conversion tracking: Full control over what counts as a conversion, whether it's a purchase or a custom business milestone.
- Dual attribution models: Choose between Last Touch or Linear to fit your specific sales cycle.
