RACE Model

By 2025, over 90% of companies worldwide adopt an integrated digital marketing approach, with AI analytics boosting their ROI by up to 40% (Statista, 2024). The digital ecosystem has transformed itself into a phygital world in which online and offline worlds meet in order to create a seamless customer experience.

However, despite all these transformations, there is one framework that provides marketers with clarity and measurability – the RACE framework. Сreated by Dr. Dave Chaffey (SmartInsights), the framework remains one of the most practical ways to manage a digital marketing funnel, especially now that AI, AR/VR, and 3D visualization in marketing are embedded into every touchpoint.

This guide, made by our 3D rendering company, explains how to apply the modern RACE model, powered by AI, predictive analytics, and CGI, to achieve measurable marketing success in 2025.

When RACE Is the Right Model

RACE follows the customer: how people find you, what they do on your site, how they buy and why they come back. Other models answer different questions, and they work well next to it:

• SOSTAC follows the business, from situation analysis to control. It is the most thorough choice for writing a plan from scratch, but it takes time, so smaller teams often start with RACE and add SOSTAC-level planning as they grow.
• The Consumer Decision Journey is a reminder that furniture buyers rarely move in a straight line. Someone sees a dining table on Instagram, forgets it, searches Google weeks later, browses a competitor and finally orders after a retargeting ad. Plan RACE stages as loops, not a one-way funnel.
• The 7Ps add People, Process and Physical Evidence. For an online furniture brand, product imagery is part of that evidence: it is how buyers judge quality before they touch anything.
• Porter’s Five Forces helps you decide whether you compete on price or on design exclusivity before you pick tactics for any RACE stage.

PLAN – From SMART to AI-Powered OKRs

The marketing planning process in 2025 is not a fixed document anymore. People are working with AI forecasting, modeling of data, and OKR processes, which help develop long-term digital marketing strategies and remain flexible enough to make adjustments in real time.

While SMART objectives continue to be effective for short-term milestones, modern digital strategy planning focuses on OKRs with good quantitative support. Keeping budgets, assets and teams aligned around these goals is the job of marketing resource management.

Core elements of the RACE framework’s 2025 planning stage

• Predictive analytics dashboards forecast demand, seasonality, and budget efficiency.
• AI-generated scenarios help marketers evaluate best- and worst-case outcomes.
• Cross-channel OKRs align sales, marketing, and product teams.
• Data-driven content planning, including AR and CGI marketing assets, maps visual content to buyer intent.

Modern KPIs

• Customer Acquisition Cost (CAC)
• Lifetime Value (LTV / CLV)
• ROAS by channel
• Engagement depth
• Cost per high-intent session
• Forecasted vs. actual revenue lift

CGI is becoming a strategic part of the planning process. Marketers are using 3D imagery and AR-capable visuals in their content calendars to maintain consistency between advertising, landing pages, product pages, and social media campaigns. Teams without in-house 3D artists often get these visuals from 3D rendering services.

Base the plan on behavior, not only demographics. Two homeowners of the same age, one in a suburban house and one in a city apartment, need different furniture. Search data shows the difference too: a shopper typing “mid-century modern dining table” and one typing “walnut dining table seats 6” need different product copy and different ad targeting.

REACH – Expanding Visibility with Automation & Data

As the initial stage of the RACE Model, Reach is about increasing brand awareness and creating traffic. In 2025, the process of reach becomes automated, more detailed in terms of data, and utilizes new immersive types of content which outdo static creatives.

Modern opportunities

• Programmatic advertising with AI-optimized bidding
• AI audience clustering for precision targeting
• Voice and visual search optimization
• Influencer and UGC ecosystems
• 3D and AR creativity for high-impact campaigns

Furniture and eCommerce brands increasingly run interactive 3D banners, AR commerce previews, and CGI-based ads, generating up to 25% higher ad recall than traditional formats.

Reach KPIs

• Impressions
• Reach a quality score
• View-through conversions
• CPM
• Media mix efficiency

Strategy upgrades

Brands combine paid, owned, and earned media into an always-on AI marketing funnel. Predictive systems automatically shift budgets to channels with rising intent signals. SEO evolves into semantic and multimodal optimization, aligning content with text, voice, and image search behaviors. For channel-by-channel tactics in this industry, see our overview of digital marketing for furniture business.

ACT – Driving Interaction with Immersive Content

Act stage (Interact) involves helping prospective customers perform certain activities such as exploration, comparison, engagement, and evaluation.

By 2025, interaction will not be measured by clicks but by the level of engagement.

Modern tools that improve ACT-stage performance

• AI chatbots and conversational marketing
• Interactive quizzes and guided product selectors
• 3D product demos and configurable models
• Video personalization and dynamic storytelling
• Immersive landing pages with AR commerce integration

Brands using 3D demos and virtual showrooms report significantly higher dwell time and lead qualification scores, as the content removes friction and helps customers understand products faster.

Act KPIs

• Engagement rate
• Session duration and dwell time
• Click depth
• Micro-conversions (add-to-wishlist, product compare, email signups)
• Scroll depths and interaction hotspots

Strategy upgrades

Marketers build modular content systems powered by AI personalization. Each visitor sees tailored visuals, dynamic CTAs, and adaptive content – from lifestyle imagery to 3D renders appropriate for their preferences.

CGI becomes central here: photoreal visuals, AR models, and 3D animations significantly boost product understanding and buyer confidence.

CONVERT – Turning Engagement into Revenue

The Convert stage of the RACE Model transforms interaction into measurable revenue. In 2025, conversion happens across web, mobile, social commerce, and even AR-driven checkout experiences.

Modern conversion practices of the RACE framework

• Omnichannel checkout: web, mobile, AR try-on, in-app, social
• AI-driven dynamic pricing
• Automated personalization engines (HubSpot, Salesforce, Klaviyo)
• Smart retargeting and predictive remarketing
• AR try-before-buy and 3D product configurators

In sectors such as furniture and decorations, which require tangible products, the use of CGI can improve conversion rates by up to 20-30%. People that engage with realistic 3D images of products convert much better due to a decrease in uncertainty.

Convert KPIs

• Conversion rate (CR)
• Revenue per visitor (RPV)
• Average order value (AOV)
• Cart recovery percentage
• CLV uplift
• Assisted conversions

Strategy upgrades

Marketing teams combine behavioral analytics, retention propensity modeling, and automated CRO systems to personalize checkout flows. A/B testing evolves into continuous machine learning optimization.

ENGAGE – Building Loyalty Through Personalization

Engage stage in 2025 is not associated with newsletters anymore but instead refers to personalized communities within the RACE approach. Brands do not concentrate on one-time transactions only anymore but strive for higher purchase frequencies and brand advocacy.

Modern engagement tools

• AI loyalty systems with dynamic rewards
• Gamified retention programs
• Community management on Discord, Reddit, and Telegram
• Personalized post-purchase journeys
• Email + push + AR loyalty cards
• Automated replenishment reminders

Brands that incorporate CGI marketing assets into post-purchase communication achieve 2x higher engagement, as 3D maintains visual consistency and boosts product satisfaction.

Engage KPIs

• Retention rate
• Referral volume
• Customer lifetime value (CLV)
• Reactivation percentage
• Advocacy and UGC generation

Strategy upgrades

Customer journeys now include ongoing education, immersive content, and community touchpoints. AR instructions, 3D setup animations, and CGI-based tutorials enhance post-purchase satisfaction and reduce return rates.

RACE in Practice for a Furniture Store

The model pays off when each stage has a tool and a job:

• Reach: a keyword research tool finds the searches worth targeting, and search ads put products in front of people making them.
• Act: heatmaps and session recordings show where visitors click, hesitate and leave on product pages. This is also where image quality decides whether people keep browsing.
• Convert: a simpler checkout and abandoned cart emails remove friction between “add to cart” and “order confirmed”. A triggered email to someone who viewed the same sofa three times without buying usually beats a generic monthly newsletter.
• Engage: post-purchase emails ask for a review and suggest pieces that go with what the customer bought.

Own the assets that feed these stages. A library of 3D product models gives every campaign the same source instead of a new shoot, and a customer database built on first-party data, such as sign-ups and on-site behavior, keeps personalization working as third-party tracking is restricted. Our furniture marketing guide covers how these assets fit into a wider plan.

How 3D Visualization and AI Enhance the RACE Model

In 2025, 3D visualization in marketing and AI technologies amplify performance at every RACE stage. They are no longer “nice to have” assets but infrastructure for modern marketing operations.

How CGI and AI power the updated RACE framework

Reach

3D banners, interactive ads, and AR commerce campaigns improve visibility and brand recall. AI optimizes placements and creative variations in real time.

Act

• Interactive 3D product demos increase engagement depth.
• Virtual showrooms help users explore full collections intuitively.

Convert

• Realistic CGI product configurators reduce uncertainty and guide purchase decisions.
• AR try-before-buy increases checkout confidence and reduces returns.

Engage

• Personalized CGI marketing assets in loyalty programs maintain customer interest.
• CGI-based tutorials and post-purchase visuals enhance product satisfaction.

CGIFurniture’s role

At CGIFurniture, we work with marketing teams and agencies to develop 3D photorealistic and AR-enabled content for furniture and eCommerce brands. Our 3D product visualization services and 3D modeling services can be used for marketing activities at all stages of the RACE model.

Conclusion – Amplify Every Stage of Your AI Marketing Funnel with 3D Visualization

Today’s marketing calls for accuracy, flexibility, and engaging content. It is in the new RACE model where the power of AI and CGI come together to provide the framework. Improve your RACE strategy with realistic CGI visuals, 3D assets, and augmented reality shopping capabilities that can produce tangible outcomes. Get in touch with CGIFurniture for more information about our services in 3D modeling and rendering.