On 20 October 2026, Salesforce signed a definitive agreement to acquire customer engagement and orchestration platform Braze for $5.66 billion (enterprise value).
That transaction is a direct testament to the massive commercial shift under way across enterprise tech: static database storage is obsolete, and real-time behavioural segmentation is where revenue actually gets generated.
The B2C–B2B wall is falling
For years, an artificial wall separated B2C and B2B marketing. B2C was seen as fast, emotional and data-driven; B2B was viewed as slow, relationship-based and static.
That distinction is disintegrating. When businesses fail to segment their audiences properly, they don’t just send irrelevant communications — they burn their own margins, alienate high-value buyers and leave pipeline revenue on the table.
The operational truth: why CRMs don’t segment
There is a common architectural misunderstanding in business: the belief that the CRM handles customer segmentation.
In practice, a CRM is a system of record, not a system of activation.
A CRM stores contact information, contracts and deal stages. But real segmentation happens inside dedicated engagement and automation platforms (like Braze, Klaviyo or Marketo). That is where raw transactional signals are translated into living, dynamic behavioural cohorts.
- CRM (system of record): static fields — names, emails, past invoices, owner ID.
- Engagement platform (system of activation): dynamic cohorts — real-time triggers, inactivity alarms, RFM scoring.
- The result: segments you can act on, such as “full-price VIP”, “sale-only bargain hunter” and “high-risk attrition”.
The B2C engine: the RFM framework in practice
In consumer commerce, segmentation is governed by the RFM model.
Recency. When did the customer last make a purchase or interact with the brand?
Frequency. How often do they buy or open an app over a trailing 30, 90 or 365-day window?
Monetary value. What is their average order value (AOV) and cumulative customer lifetime value (LTV)?
The fashion retail example: protecting margins vs clearing inventory
Consider a women’s apparel retailer running an email marketing program. Without RFM segmentation, the marketing team blasts the entire database with a “25% off everything” newsletter.
The consequences of unsegmented blasting are disastrous:
The full-price, high-AOV buyer. This customer routinely buys new arrivals on launch day at full margin. Sending them an early discount coupon trains them to wait for sales, needlessly eroding the company’s gross profit. Instead, this segment should only receive exclusive first-look and VIP drop notices focused on curation, styling and scarcity — never price cuts.
The discount-only hunter. This buyer has never purchased an item at full price; they buy only during clearance events. Sending them full-price product announcements leads to low open rates, zero clicks and eventual unsubscribes. They should only be activated when stock needs clearing.
Matching message intent to buyer habits preserves price integrity at the top while capturing clearance sales at the bottom.
Why B2B has been lagging behind (and why that’s changing)
Historically, B2B companies ignored RFM and dynamic segmentation. They relied on blunt firmographic classifications: “Enterprise companies in North America with 500+ employees.”
Every contact at those companies received the identical monthly newsletter and product update. The result? Dismal engagement, bloated unsubscribe lists and pipeline leakage.
B2B organisations are now being forced to adopt consumer-grade behavioural segmentation because buyers expect it. Here is how RFM translates:
The cost of inaction
Salesforce didn’t commit nearly six billion dollars to Braze just to buy another email tool. It acquired Braze because enterprises can no longer afford the disconnect between raw customer data and real-time execution.
Treating every customer identically is the most expensive operational habit a marketing department can maintain.
Whether you are selling high-end dresses or six-figure enterprise software, revenue generation is directly proportional to how well your messaging reflects the customer’s actual behaviour, spending power and intent.
Is your CRM storing data or making money?
I turn CRM records into behavioural segments and automated campaigns — inside the platforms you already own.