One pension homepage, personalized by age.
See how a UK pension bank uses age-based targeting, GeoIP location, and behavioral signals to adapt its homepage, projections, and CTAs for every visitor — all powered by Personyze. Switch the persona below to watch the page transform live.
Start Building Your Future
While You're Young
You're 28 โ the perfect time to start your pension. Even ยฃ400/month now can grow to over ยฃ850,000 by retirement. The earlier you start, the more compound interest works in your favour.
32 Moorgate, EC2R
This page is personalised for James, 28, in London
Based on your age, location, and campaign source, Personyze dynamically adapts the hero messaging, pension projections, feature highlights, branch information, testimonials, and call-to-action buttons โ all in real-time.
Why Start Your Pension at 28?
Features highlighted based on your life stage
Your Pre-Retirement Checklist
Key steps for savers aged 55-67
Get Started in 3 Simple Steps
Opening your pension takes less time than making a cup of tea
Download & Verify
Get the FutureNest app and verify your identity in under 2 minutes with just a photo ID.
Choose Your Plan
Select a contribution amount and investment strategy tailored to your age and goals.
Watch It Grow
Track your pension growth in real-time. Adjust contributions anytime, no penalties.
Your future self will thank you, James.
Download the FutureNest app and open your pension in under 3 minutes. No paperwork, no branch visit needed. Just your phone and your ID.
Built with Personyze — in three steps.
Detect
Personyze reads each visitorโs age signal, location via GeoIP, traffic source, and behavior in real time.
Decide
Rules and segments match the visitor to the right experience โ a young saver or a pre-retiree.
Render
The hero, projections, checklists, and CTAs all update live โ no page reload, no developer.
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How Personyze personalizes this page.
Every element in the demo is driven by a real Personyze capability. Hereโs what powers each part.
Age-Based Hero & Messaging for James, 28
When James arrives from an Instagram campaign targeting ages 25-34, Personyze's Behavioral Targeting detects his age segment and serves growth-focused hero messaging, compound interest projections, and mobile-first CTAs encouraging app download โ all personalized to a young first-time saver in London.
Pre-Retirement Optimization for Margaret, 55
When Margaret visits from a Facebook campaign targeting ages 50-65, Personyze's Website Personalization engine switches the entire page to retirement-focused content โ pension consolidation messaging, a 12-year countdown widget, pre-retirement checklists, and adviser consultation CTAs tailored to Edinburgh.
GeoIP Location-Based Branch Information
Using GeoIP location targeting, Personyze detects each visitor's city and displays their nearest branch โ London Moorgate for James, Edinburgh George Street for Margaret โ complete with localized testimonials and region-specific adviser details.
Dynamic Pension Projections & Features
Personyze's Dynamic Landing Pages calculate and display age-appropriate pension projections (ยฃ852K growth for James vs. ยฃ1.25M optimized for Margaret), swap feature cards between topics like "Start With ยฃ400/mo" and "Pot Consolidation," and conditionally show content blocks like retirement countdowns only for qualifying segments.
Segment-Specific Social Proof & CTAs
Testimonials are matched to age cohorts using Content Recommendations โ young savers see reviews from 20-somethings, while pre-retirees see endorsements from peers. CTA buttons change entirely: app downloads for James, adviser consultations for Margaret. A/B Testing continuously optimizes conversion across both segments.
Questions about this example
How does Personyze know a visitor's age band on this pension page?
From the traffic source: the visitor arrives from an ad campaign aimed at an age band (for example Instagram, ages 25-34), and a targeting rule on that campaign source assigns the segment. No personal data is needed.
How is the nearest branch chosen?
By GeoIP location: a visitor in London sees the Moorgate branch and adviser, and a visitor in Edinburgh sees the George Street branch.
What changes between the young saver and the pre-retiree?
The hero message, projection figure, feature cards, checklist, testimonials, branch and CTA. The young saver is pointed to the app and the pre-retiree to an adviser consultation, and A/B testing measures each variant.
Personalize your site like this.
This pension example runs entirely on Personyze โ age targeting, GeoIP, behavioral signals, and dynamic content. Build the same for your site, no code required.