Find the moments that matter
We look for pages and entry points where different visitors clearly need different messages, and leave the rest alone.
Website personalization that proves it helps.
Show different visitors the message they need, based on signals you already collect, and measure every variant against the default.
The problem
One page, many visitors.
A founder, a buyer and a returning customer land on the same homepage and read the same words. Many personalization projects try to fix that everywhere at once and end up with rules nobody maintains. We start with the 2 or 3 moments where a different message clearly matters, and prove it before scaling.
What you get
AI personalization, with guardrails.
Each part is scoped to what your data and your team can support.
Map your signals
Traffic source, location, CRM stage, behaviour and quiz answers, checked for accuracy and consent before any rule uses them.
Write the variants
Headlines, proof and offers written for each segment, so personalized pages read as well as the default.
Add AI where it helps
Models that choose recommendations or content, with fallbacks, limits and human review of what they show.
Test against the default
Every variant runs as an experiment with a holdout group, so you know what the change actually did.
Keep it manageable
Documented rules, owners and a review date for each variant, so personalization does not decay quietly.
What visitors notice.
Relevance should be visible to the visitor and measurable to you.
BeforeAfter
Everyone reads the same generic headlineEach segment sees proof that fits them
Returning customers pitched like strangersKnown customers go straight to what is new
Personalization rules nobody remembersEvery variant has an owner and a test
Gut feel about what worksExperiments with holdout groups
Where personalization runs.
We use the tools you have where possible, and add one only when it earns its place.
Every ecosystem, five ways in
Four steps to a proven variant.
Small first, then scaled only when the numbers say so.
- 01
Audit
We review traffic, segments, available data and consent to find where personalization could matter.
- Opportunity list
- Signal audit
- Consent check
- 02
Design
Segments, rules and variant copy for the first 2 or 3 moments, agreed with your team.
- Segment definitions
- Decision rules
- Variant copy
- 03
Build and test
Variants built in your stack and launched as experiments against the default experience.
- Live variants
- Experiment setup
- QA checks
- 04
Read and scale
We report what changed, keep what works and extend it to the next moment.
- Results report
- Rule documentation
- Next-step backlog
Built for what’s next.
Built to driveMore sign-ups.
Built to driveMore memberships.
Built to driveBetter-qualified leads.
Built to driveMore qualified candidates.
Built to driveMore enquiries.
Built to driveMore qualified demos.
Built to driveMore workplace demos.
Built to driveMore business accounts.
Built to driveMore free trials.
Built to driveMore building owners.
Built to driveMore free sign-ups.
Private Villas MexicoBuilt to driveMore direct bookings.
Built to driveMore committed players.
Built to driveMore returning customers.
Built to driveMore meaningful demos.
Built to driveBetter talent connections.
Built to driveMore course creators.
Built to driveMore product discovery.
Trusted across our practice
Working together. In their words.
Independent reviews. Long-term working relationships.
“Stega Creative team not only understood our needs and vision for the websites, but they also came up with improvements.”
“After a website (re)launch, they are also always accessible and happy to help. I highly recommend everyone who is looking for a new and more stable website in Webflow, to work with Stega!”
“We’ve been working with Stega & Gabriel for the last two years. Cannot recommend them enough. They’re responsive, professional & an asset.”
Personalization questions, answered.
A few things worth discussing before your personalization takes shape.
What is website personalization?
Website personalization shows different visitors different content based on signals such as traffic source, location, CRM stage or past behaviour. Done well, it changes a headline, proof point or offer where it clearly helps, and leaves the rest of the site the same for everyone.
How is AI personalization different from rule-based personalization?
AI personalization lets a model choose content or recommendations for each visitor, while rule-based personalization follows rules your team writes. Rules suit a handful of clear segments. AI suits large catalogues or content libraries. Both need a default fallback and testing against a holdout group.
How much does website personalization cost?
Cost depends on how many segments you target, where the data lives and whether new tools are needed. We scope the first 2 or 3 moments before recommending anything larger.
Does website personalization need cookie consent?
Website personalization that relies on cookies or tracking identifiers generally needs consent under UK and EU rules, while signals like campaign parameters may not. We map every signal against your consent setup and give visitors who decline a good default page. Your legal team makes the final call.
When is website personalization not worth it?
Website personalization is not worth it when traffic is too low to test, the default page is still unclear or nobody will maintain the rules. Fix the core page first. Our user experience and content strategy services usually come before personalization.
How do you measure whether website personalization works?
Website personalization is measured by running each variant as an experiment against a holdout group that sees the default page. We compare conversion to the next step, such as a demo request or add to cart, and keep a variant only when the difference holds up.
Revamp today.The 
way.
Your ambition. Our collective craft.
Strategy, design and technology, working as one.