Website Personalization Example On an Automotive Site
Use the before/after slider to see how this car site’s entire website is transformed from generic to personalized and relevant, using a combination of artificial intelligence and powerful targeting in this website personalization example.
Visitor — Generic Experience Before
Default AllCars home page with broad, non-specific offers.
- No relevant imagery or copy
- No contextual CTAs (Contact, Book Test Drive)
- Lower CTR & conversions
Known Prospect — Personalized After
Interest in work trucks, business-owner profile, and Georgia location are known and used to personalize the entire site.
- Truck-focused hero, imagery, and copy
- Contextual CTAs (Contact dealer, Book test drive)
- Higher CTR & conversions
Visitor — Generic Experience Before
Default AllCars search page with broad, non-specific results.
- No relevant imagery or copy
- No contextual CTAs (Contact, Book Test Drive)
- Lower CTR & conversions
Known Prospect — Personalized After
Interest in work trucks, business-owner profile, and Georgia location drive the results and recommendations.
- Truck-focused results & copy
- Contextual CTAs (Contact dealer, Book test drive)
- Higher CTR & conversions
From One-Size-Fits-All to Adaptive
This demo shows how an auto website becomes adaptive with website personalization: the homepage, banners, and shopping modules change in real time based on intent (e.g., family SUV vs. EV), location, and engagement history.
Personalized Hero & Promotions
A generic hero is replaced by a targeted message (e.g., “Explore 7-Seater SUVs” for family shoppers or “Go Electric with 300+ Mile Range” for EV intenders). Build and target these creatives with the Pop-up & Banner Manager, swapping copy, background, and CTA (“Schedule Test Drive”, “See Local Inventory”).
- Triggers: model pages viewed, filters used (EV/Hybrid/SUV), geo, campaign UTM.
- Variants: hero headline, subcopy, background image/video, CTA destination.
- Goals: lift CTR, drive test-drive requests, speed up model discovery.
Contextual Vehicle/Content Recommendations
Below the hero, recommendation rails surface vehicles and content that match intent—e.g., EV models with federal/state incentive info, or family SUVs with safety highlights and cargo comparisons. Badges like “★ 4.7 (320)”, “Popular in your area”, or “Only 5 left locally” add persuasive context.
- EV path: long-range EVs, home charging guide, incentive calculator.
- Family path: 3-row SUVs, car-seat compatibility, safety feature explainer.
- Performance path: sport trims, track-day content, performance package bundles.
Journey Flows (Shopper Types)
CTAs and modules change by persona. An EV intender might see “Estimate Charging Costs” and “Compare EV vs. Hybrid,” while a family shopper gets “Compare 7-Seaters” and “Top Safety Picks.” Returning visitors can be greeted with “Welcome back—continue your build” pre-loading their last configuration.
Signals → Experiences
- Signals: model/trim views, filter usage (EV/SUV/price), build-and-price progress, geo, device, UTM.
- Personalized elements: hero/banner, recommendation rails, promo copy, CTAs, calculators and guides.
- Delivery: real-time rules/models render variants via the website personalization tag/SDK—no replatforming.
Start with a targeted hero, then layer recs, calculators, and sticky CTAs—managed centrally per segment.
Why This Works
- Immediate relevance: shoppers see vehicles and tools that match their intent.
- Reduced friction: next best actions (test drive, compare, estimate) are obvious.
- Higher conversion: persuasive badges and local stock cues accelerate decisions.
How do I build the targeted banners?
Use the Pop-up & Banner Manager to define audiences (EV, family SUV, performance), then map headline, creative, and CTA per audience.
Where do the recommendations come from?
On-site behavior, item similarity (model/trim/features), and business rules (inventory, margin) drive the ranked lists.
Will this work with my current CMS or inventory system?
Yes—variants render in real time with the website personalization tag/SDK and can read from existing feeds/APIs.
