Uniform personalizes and tests any experience at the edge on any CDN: decisions in under 50 milliseconds, no flicker, no third-party script tax. Start with the data every visitor brings on their first visit, and deepen to full 1:1 as you learn more.
Setting a personalization criterion on a single component in the visual workspace: choose who it is for, pick the variant they see, publish.
Personalization has been available since the mid-2000s, yet most companies still don't use it.
Every legacy personalization tool taxes page speed: a tag manager, a vendor script, and a decision the visitor has to wait for.
The swap the visitor sees. Default content paints, the script catches up, and the page rewrites itself in front of them.
Browsers and privacy rules killed the old delivery model. Blocked scripts, capped cookies, and consent gates broke what once worked.
Variants there isn't time to create. A strategy that calls for twelve versions gets two.
The data lives in five systems. The CDP knows the customer, the CMS knows the content, and neither one reaches the page.
No map from zero to value. Every proposal opens at full 1:1 and stalls long before the first release.
Six blockers stop personalization programs: the performance cost, visible flicker, the death of third-party scripts, content velocity, stack integration, and not knowing where to start.
You pick the component, choose the outcome, and enable personalization visually. It adapts to each audience while everything around it stays the same, and every variant reports its own effect on conversion.
Example of three audiences, one page, one personalized component.
The same page is shown for three audiences. Culture explorers, adventure seekers, and relaxation seekers each get a hero version written for them, and the featured destinations, travel with purpose, and travel stories components are identical across all three because only the hero component changes for personalization.
You do not need a logged-in member to personalize. Every visit arrives carrying context, and every interaction adds to it. Pick the rung that matches what you know today, and climb when you know more.
Engagement deepens → data compounds → conversion follows.
The ladder has four rungs, and the first three are all the same anonymous visitor: what deepens across them is a behavioral signal, not identification. Only the fourth crosses into a known contact. All visitors: on the very first anonymous visit you already have location, device, campaign UTM, and time of day, enough to localize offers and the hero on the first paint, in minutes. Engaged visitors: still anonymous, but the pages someone reads reveal interest, so a visitor reading auto insurance content sees insurance-focused messaging on their next page, with signals configured in clicks. Intent: still anonymous, and searches, tool usage, and return visits score repeated behavior, so repeated CD rate views trigger a CD-focused homepage on the return visit, with no developer required. Known contacts: the one rung that needs identity, where profile attributes, segments, and account context from your CDP or CRM let an authenticated member see offers matched to the products they hold, and you connect the CDP or CRM once to personalize everywhere.
Uniform reads the context of a visit, builds a profile from real engagement, and pulls attributes from the systems you run. Three inputs, one decision, made at the edge.
Turn context and behavior into triggers: location, campaign, on-site search, and events, all configured in clicks.
Build real-time interest profiles from what visitors actually engage with, so the site learns while they read.
Connect any CDP or data source and use specific visitor attributes alongside behavior in the same criteria.
Two kinds of input converge on one decision: the context the visit itself carries, such as location, device, campaign, page behavior, and events, and the attributes held in your own systems, such as CDP profiles, custom data sources, and account lists. Uniform resolves both into a single personalization decision at the edge.
Connect the CDPs, analytics tools, and data sources in your stack, and use them in the same criteria builder. ABM lists work the same way for B2B: bring the target account list and personalize for those companies by name.
The personalization decision happens on the CDN you run before the page paints. Personalized pages at the speed of static ones.
Personalization resolves at the edge before the page paints, so nothing flickers and nothing delays.
Uniform works with the edge you run versus forcing a delivery migration.
First-party and consent-aware, with no third-party scripts running in the visitor's browser.
Uniform resolves the decision at the edge, making the first paint the visitor sees personalized. The legacy path paints a default page, waits for a script, then rewrites the content in view.
Read the edge-side personalization docsUniform shifts gears as ambition grows, without a rebuild in between.
Hand-built variants for the campaigns that require them.
Traits and signals automatically select experiences as visitors reveal their intent.
Scout proposes personalization strategies for your existing audiences, generates the variants, and rolls them out across the library, with your team approving what ships.
Personalization is only limited by how many variants humans have time to make.
Every platform now ships an assistant that suggests a variant. However, Scout is an agent. It reads your setup, builds the strategy from your data, then does the work, with your team approving what ships.
Scout reads your compositions, components, audiences, signals, and live insights, so its recommendations start from your reality, not a template.
A prioritized personalization plan grounded in your audience data: which segments, which pages, which experiences, in what order, and why. The work of a CRO consultant's first month, available on request.
Scout configures the signals and enrichments, enables personalization on the components, and generates the personalized variants, staging everything for review. Not a to-do list: the done work.
Scout watches uplift and significance, proposes promoting winners and retiring losers, along with new personalization tactics. Humans approve what ships, always.
The four steps run as a loop: Scout audits the setup, proposes a prioritized strategy, executes and stages the work for approval, then measures uplift and feeds what it learns back into the next audit.
Strategy, setup, variants, and optimization: one agent, your approval.
Personalization scales further with compute.
Personalization without measurement is decoration. Uniform ships insights with the platform, giving every personalization and every test report its own results, bringing the audience into focus as visitors engage.
Including the tests that lose. That is what testing is for.
The insights dashboard reports sessions, conversion rate and optimized conversion as KPI cards, the top audience segments as a share of sessions, an enrichment profile radar, and a table listing every active personalization and A/B test with its own sessions, uplift and significance.
Sessions, conversion rate, and optimized conversion side by side, with every active personalization and A/B test listed with its own sessions, uplift, and significance. No stitching reports together.
Each personalized component and each test carries its own number, so you know which decision earned the lift, and which one to retire.
Segments as a share of sessions, and enrichment profiles built from real engagement, show who is actually visiting and what they care about. Today's audience insight is next week's personalization criterion: this is the flywheel that climbs the ladder above.
Every personalization and test event also streams to the analytics you already standardize on, such as Google Analytics or Adobe Analytics, letting personalization results live where the rest of the business reports do, never in a silo.
Measurement is where the next personalization comes from.
Personalization comes by layer, not platform migration. Adopt it at any level of the stack that is easiest to move first.
Personalize a page or a template end-to-end, so a campaign landing page or a whole journey changes with the audience it is serving.
Personalization is decoupled from the page, so you can personalize one hero without affecting anything else on the page.
Call the decision from your CMS, commerce platform, or front end via the API, and render it wherever you render content.
Keep your existing technologies. Keep your CDN. Add personalization as a layer, at your pace.
Developers have navigated personalization tools for twenty years: script tags that tank Core Web Vitals, proprietary runtimes that dictate the front end, and vendors that want to own the render. Uniform is built different.
Your framework renders the experience and your edge serves it; the Uniform decision runs inside that existing pipeline rather than adding a vendor to the request path.
React, Next.js, Svelte, Vue, Astro, Angular: Uniform delivers personalization through SDKs that fit the framework you already run, rendering through your components rather than replacing them.
Akamai, Cloudflare, Vercel, Netlify: the decision runs on the CDN and hosting you already deploy to, inside your existing delivery pipeline. No new infrastructure, no traffic re-routing, no second vendor in the request path.
No third-party script in the visitor's browser, no client-side rewrite, no performance tax: Core Web Vitals stay exactly where your team fought to get them. Personalization ships through the same CI/CD and review process as everything else you deploy.
Keep the stack. Let marketing own performance. Upgrade the experience.
Read the edge-side personalization docsLooking for app personalization?
Uniform personalizes native mobile apps too. Context as a service returns the personalized screen from the platform, so the app renders it without a complex SDK embedded in the build.
Pick the one that aligns with your next campaign, ship it, then add the next rung.
Connect content to the inbound campaign that sent the visitor, so the promise on the ad survives the click on every page visited.
Tag your content once, then surface what a visitor's reading history says is relevant to them next.
Localize offers, branches, pricing, and language to where the visitor actually is, from the first paint from city to region to country.
React to a real-time action, such as interest in booking an appointment, while the visitor is still on the page.
Bring the target account list and personalize the experience for the companies your sales team is talking to.
VyStar started with one criterion: location. Within two months, personalized sessions became the default experience, and the downstream numbers reacted.
4% to 82%
of sessions personalized within two months of adopting location-based targeting.
13% vs 3%
form submission rate on a personalized campaign banner, against the non-personalized version.
2x
loan application completion rate for journeys that began personalized. About a third of completed applications started this way.
Relevance isn't merely a conversion tactic. During storms, VyStar pushed branch status updates through the same system, giving members information relevant to their location.
Read the VyStar case studyThe questions that come up in every first meeting about edge-side personalization, stack fit, anonymous visitors, and privacy.
Edge-side personalization means the personalization decision happens on the CDN edge before the page renders, so visitors receive the personalized version immediately: no client-side swap, no flicker, and no performance penalty. Uniform executes these decisions in milliseconds on your CDN.
Yes. Uniform personalizes experiences composed from any source, including content in your existing CMS, and delivers decisions on your current CDN, without replatforming anything. SDKs cover the mainstream front-end frameworks, including React, Next.js, Svelte, Vue, Astro, and Angular, and decisions run on edges such as Akamai, Cloudflare, Vercel, and Netlify.
Yes. Every first visit carries usable context: location, device, campaign, and time, all available on load at the edge. Uniform personalizes from that first anonymous paint, then deepens automatically as behavior reveals interest and intent, and connects CDP attributes when visitors become known.
Uniform's personalization is first-party and consent-aware by design: no third-party scripts, decisions at the edge, and data use scoped to what your consent framework allows. Behavioral profiling runs on your own property's signals rather than cross-site tracking.
The first personalization typically ships in clicks, not sprints: pick a component, set a criterion such as location or campaign, and publish. VyStar grew personalized sessions from 4% to 82% within two months of starting, using location-based targeting as the entry point.
Uniform includes insights with the platform: a dashboard covering sessions, conversion, and uplift for every personalization and A/B test individually, plus audience segments and enrichment profiles built from real engagement. Every event also streams to your existing analytics, such as Google Analytics or Adobe Analytics, so results live where the business already reports.
Scout, Uniform's agent, audits your current setup, proposes a personalization strategy grounded in your audience data, then executes it by configuring signals, enabling personalization, and generating variants, with humans approving what ships. It then optimizes continuously against measured uplift. AI removes both the strategy gap and the variant-production bottleneck.
Want to see it running on your own site?
Book a demoLooking for A/B testing?
Personalization and experimentation run on the same platform and components, with one insights dashboard reporting uplift and significance for both.
Start personalizing for the first one today.
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