Which channel combinations produce the highest-value customers?

Why single-channel attribution misses your most valuable customers

Your best customer last quarter found you through a Google Ad, downloaded a guide from your website a week later, received three emails, then called your sales line after a friend mentioned you at dinner. Five touchpoints across four channels. Which channel gets credit?

With single-channel attribution, one channel gets all the credit and the others get none. First-touch says Google Ads. Last-touch says referral. Neither captures the reality that it took the combination of all four to close the deal.

This matters because the customers who interact with multiple channels before buying tend to be your highest-value customers. They did more research, they are more committed, and they tend to spend more and stay longer. If you only optimize individual channels, you might accidentally cut one that is a critical part of a high-value combination.

Multi-touch attribution: understanding channel combination analysis

Channel combination analysis answers: which sequences of touchpoints produce customers with the highest revenue? Key concepts:

• Touchpoint sequence.The ordered list of interactions a customer had before purchasing. “Google Ad → Email → Referral” is different from “Referral → Google Ad → Email.”
• Assist channels. Channels that appear in the journey but are not the first or last touch. These often do the heavy lifting of nurturing but get zero credit in standard attribution.
• Average order value by path. The average revenue per customer for each distinct touchpoint sequence. This reveals which combinations produce high-value customers.
• Path length. How many touchpoints a customer had before buying. Longer paths often correlate with higher value, but there is a point of diminishing returns.

How to analyze channel combinations across CRM and accounting (7 steps)

This is one of the more complex analyses you can do manually. It requires detailed CRM activity data and careful spreadsheet work. Budget 90 minutes to 2 hours.

1. 1
   Export your CRM contact activity timeline

   In HubSpot, go to CRM → Contacts. For each customer, you need their activity timeline showing all touchpoints: form submissions, email opens, page visits, ad clicks. Export contacts with the “Original Source,” “Latest Source,” and all source drill-down properties. In Salesforce, use the Campaign Member report to see which campaigns each converted lead touched.

2. 2
   Export paying customers from accounting

   In QuickBooks, run Sales by Customer Summary. In Xero, export paid invoices. You need each customer's name, email, and total revenue.

3. 3
   Match CRM contacts to paying customers

   VLOOKUP by email to connect each paying customer's accounting record to their CRM touchpoint data. Note which customers do not match (there will be some).

4. 4
   Build a touchpoint sequence for each customer

   For each matched customer, create a column showing their channel path. Example: “Paid Search → Email → Direct.” This is the most manual part. HubSpot's activity log captures this, but extracting it in a structured format requires manual review of each contact record.

5. 5
   Group customers by path and calculate averages

   Create a pivot table grouping customers by their touchpoint sequence. For each path, calculate: number of customers, total revenue, and average revenue per customer.

6. 6
   Compare single-touch vs. multi-touch paths

   Separate customers into single-channel (one touchpoint) and multi-channel (two or more). Compare average revenue, retention rates, and deal size between the two groups.

7. 7
   Identify the winning combinations

   Sort paths by average revenue per customer. The top paths are your winning combinations. Look for patterns: does email always appear in high-value paths? Does paid search work best as a first touch or an assist?

Why channel combination analysis rarely gets done

This is the kind of analysis that marketing consultants charge thousands of dollars for. It is genuinely valuable. But the manual process has three problems that make it impractical to repeat:

• Touchpoint data is fragmented. Your CRM has some interactions, your ad platforms have others, your email tool has more. No single system has the complete journey.
• Manual sequence building is tedious.Reviewing each customer's activity log and coding it into a path takes 2-5 minutes per customer. With 20 customers, that is 40-100 minutes on just that step.
• Small sample sizes limit conclusions. With 15-20 customers per month, most paths only have 1-2 customers, making it hard to draw statistical conclusions. You need months of accumulated data to see reliable patterns.

Or see which channel combinations produce your best customers, automatically

Bottomline connects to your CRM, ad platforms, email tools, and accounting software. It reconstructs each customer's full touchpoint sequence, matches it to their verified revenue, and surfaces the patterns over time.

The data tells a clear story: customers who start with a Google Ad and get nurtured through email before a referral conversation spend 2-3x more than single-touch customers. Cutting your email nurture program because it does not “directly convert” would eliminate a critical step in your highest-value path.