RACE Framework (RACE)

Originated by Dave Chaffey (Smart Insights) in 2010

The RACE Framework was built for the reality of digital marketing: that the job doesn't end when someone converts. It extends the funnel to include what happens after the purchase, which is where most of the long-term value is created.

When the traditional sales funnel was invented, the customer’s relationship with a brand after purchase was essentially invisible to marketers. You sold something; the customer used it; maybe they came back and bought again. The loop was slow and difficult to observe. Digital marketing changed everything about that. You can see what customers do after they buy. You can measure whether they use the product, engage with your content, open your emails, and refer their friends. You can track the full post-purchase relationship in a way that pre-digital marketing never could.

The RACE Framework was built to match this reality. Dave Chaffey at Smart Insights developed it in 2010 as a planning structure for digital marketing that extended the traditional funnel’s logic past conversion and into the ongoing customer relationship. It’s not a replacement for the funnel; it’s a version of it that takes the post-purchase seriously, which the funnel largely doesn’t.

What the Framework Actually Does

RACE structures digital marketing planning across four stages, each with its own goals, channels, tactics, and KPIs.

Reach is the awareness stage. The goal is to bring new potential customers into contact with your brand through digital channels: paid search and social advertising, organic search, content marketing that earns external links and shares, influencer partnerships, PR, and any other tactic that extends brand visibility beyond your existing audience. Reach metrics focus on exposure: impressions, reach, traffic volume, share of search, brand search growth. The job at Reach is not to sell. It’s to ensure the brand exists in the awareness of people who might eventually need it.

Act is the stage that distinguishes RACE from simpler funnel models. It sits between Reach (awareness) and Convert (purchase) and specifically addresses the quality of initial engagement on your owned digital properties. The question Act asks is: when someone arrives on your website or engages with your content, do they do something meaningful? Act metrics include pages per session, time on site, content engagement rates, email sign-ups, free trial starts, and any other interaction that indicates genuine interest short of purchase. The insight behind Act is that a visitor who bounces immediately has a fundamentally different value from one who explores, reads, and engages, and that optimizing for Act separately from Convert produces better overall results.

Convert is where the commercial transaction happens. The goal is to turn engaged prospects into paying customers. This involves conversion rate optimization on purchase paths, pricing and offer design, reduction of checkout friction, and the sales enablement materials that support the final buying decision. Convert metrics are revenue-focused: conversion rate, average order value, cost per acquisition, and revenue per visitor.

Engage is the stage that most digital marketing frameworks omit and RACE insists on. The customer has purchased; the relationship now needs active management. Engage covers everything that happens post-purchase: onboarding, customer communications, loyalty programs, ongoing content that keeps the relationship active, community building, and the experience design that drives repeat purchase and advocacy. Engage metrics include customer satisfaction scores, retention rates, repeat purchase frequency, referral rates, and lifetime value. The Engage stage is where SaaS companies live or die, and it’s where loyalty in consumer goods is won or lost.

The Origin

Chaffey developed RACE at Smart Insights, a digital marketing resource platform, as part of a broader effort to give marketers a practical planning framework for the full digital lifecycle. The framework responded to a gap he observed: most digital marketing frameworks focused on acquisition and conversion while treating the post-purchase relationship as someone else’s problem (usually customer success or CRM teams with no connection to marketing strategy).

The RACE acronym itself was partly chosen for memorability. The underlying logic connects to older funnel thinking, but the Engage stage and the explicit Act separation were intentional additions designed to make the framework more useful for digital marketing planning specifically.

How to Apply It

The most practical application is using RACE as a KPI mapping exercise before planning begins. For each stage, define: what are the top two or three metrics that indicate health at this stage, what is the current performance against those metrics, and what does “good” look like?

This exercise almost always reveals imbalance. Teams that discover they have no meaningful Engage metrics have implicitly been ignoring post-purchase experience. Teams with weak Act metrics realize they’ve been driving traffic that isn’t actually engaging, which makes their Convert investment less efficient regardless of how well the conversion path is optimized.

For channel and content planning: map each planned activity to a RACE stage and check the distribution. Is there investment at every stage? Is the balance appropriate given where the biggest gaps are in your current performance? A plan that is predominantly Reach and Convert with no Act or Engage investment is a plan for high churn and inefficient acquisition costs.

For team structure and budget conversations: RACE provides a useful frame for arguing that post-purchase marketing is not a cost center but a revenue driver. The economics of retention versus acquisition make this case strongly, but the framework gives it organizational structure.

Set stage-specific targets before the planning cycle starts. Reach targets should be set in terms of qualified traffic growth, not total impressions. Act targets should be set in terms of meaningful engagement actions, not page views. Convert targets should be revenue and margin-based. Engage targets should be retention rate, repeat purchase frequency, and NPS or equivalent satisfaction measures.

A Real Example

Coca-Cola’s Share a Coke campaign, which replaced the Coke logo on bottles with popular names starting in Australia in 2011, demonstrates RACE thinking across all four stages with unusual clarity.

Reach: The campaign generated enormous earned media from the novelty of personalized packaging. Consumers shared images on social media, journalists covered the story, and the personalization mechanic created organic reach that multiplied the paid media investment significantly. Awareness grew not just among people who saw the advertising but among everyone who saw the social sharing.

Act: People actively sought out bottles with their own name or the names of people they wanted to give one to. This turned a passive product encounter into an active behavior, which is the Act stage’s defining characteristic. Engagement with the Coke brand at the point of sale shifted from incidental (someone picked it up) to intentional (someone searched for it).

Convert: Sales increased in markets where the campaign ran, reversing a multi-year decline in some territories. The personalization created purchase intent in people who might otherwise have reached for a different drink by default.

Engage: The social sharing behavior that the campaign generated created ongoing engagement loops. People who found their name shared it; people who received a bottle shared that. The campaign’s Engage stage was essentially word-of-mouth at scale, mediated by social platforms.

Burberry’s “Art of the Trench” microsite campaign shows how a luxury brand used RACE thinking specifically at the Act and Engage stages. By creating a platform where customers could upload and share photos of themselves wearing Burberry trench coats, Burberry built a community engagement mechanism around the product that extended the brand relationship far beyond the purchase moment. The Act was submitting a photo; the Engage was seeing yourself represented in brand-sanctioned content and coming back to the community.

When the Framework Falls Short

RACE is digital-first, which creates friction for brands with significant offline customer journeys. A retailer whose customers discover products in-store, research online, and then return to purchase in-store doesn’t fit neatly into a digital funnel structure. The framework can be adapted, but the adaptation requires explicit acknowledgment of the offline elements that RACE’s channel logic doesn’t naturally accommodate.

The linear stage model also understates the complexity of attribution. A customer who reaches your brand through a social post (Reach), engages with an email (Act), converts through a retargeting ad (Convert), and then advocates after a great delivery experience (Engage) has interacted with four different channels at four different stages. The RACE model describes the stages accurately but doesn’t help you determine which channel deserves credit for the conversion. That’s an attribution modeling problem that RACE doesn’t solve.

The Engage stage, while valuable conceptually, can also become a catch-all for “things we do after the sale” without the disciplined measurement focus that makes the earlier stages actionable. If Engage doesn’t have specific KPIs and owners, it tends to remain aspirational.

Spotify Wrapped is worth examining in the RACE context because it deliberately exploits the Reach-Engage loop. The Engage stage (giving current users a personalized, shareable annual recap) drives Reach (users share their Wrapped on social media, generating awareness among non-users). This creates a feedback mechanism between the first and last stages that the traditional funnel’s one-directional model doesn’t capture. RACE’s structure allows you to plan for this kind of loop explicitly, which is one of its practical advantages over simpler frameworks.

When to Use It (and When to Reach for Something Else)

RACE is most useful for digital marketing teams that manage the full customer lifecycle, from initial awareness through to ongoing relationship management. It’s particularly well suited to subscription businesses, e-commerce brands with repeat purchase potential, and any digital-first business where the post-purchase relationship significantly affects growth.

Use it as your primary planning and KPI-setting framework when you need alignment across teams that separately manage acquisition, conversion, and retention. The RACE structure makes explicit that all three of these functions are part of one connected system.

When your primary planning challenge is content strategy and channel allocation, RACE’s stage mapping is a clean organizing principle. When you need more detailed behavioral insight into the customer experience at each stage, add a Customer Journey Map alongside it.

Reach for AARRR Pirate Metrics when you’re in a product-led growth business where activation and product usage are the primary drivers of retention and expansion. RACE is channel and marketing-centric; AARRR is product-centric. Choose based on where the most important growth levers actually live in your business model.

See these frameworks in action: Marketing Case Studies