Uniform runs experimentation at the edge on your CDN: no third-party scripts, no flicker, no Core Web Vitals penalty. Test a headline, a component, or an entire experience composed from any source, and read the results with significance built in.
Configuring an A/B test on a single component in the Visual Workspace: two variants, an even traffic split, one publish. Interface illustration, not a product capture.
Testing tools have been affordable and widely available for a decade, yet most teams run only a handful of tests annually.
The variant swap every visitor sees: the default paints, the script fires, and the page rewrites itself while they are looking at it.
The clumsy script tag your SEO team warned against: a third-party request loading on every page of the site.
Opportunities wilt waiting for the B to be built. The hypothesis is there; production is the bottleneck.
Standalone testing tools get pulled from their users, and the program fades with the contract.
With results in one tool and revenue in another, the test for worked never quite ends.
Without a solid plan, the backlog fills with changes where nothing will be learned.
Six things stop testing programs: visible flicker, the script tag that damages Core Web Vitals, variant production, tool churn, split data, and not knowing what to test first. Uniform answers four of them directly and removes two outright.
Pick the component, set the goal, and add a variant. When the needle moves, you know exactly which change moved it, as each variant reports its own effect on the goal you chose.
One component tested, two variants, everything else held the same.
One component on one page is put into a test. The hero is the only thing that differs between variant A and variant B; the featured destinations and the page layout are identical in both, which is what makes the result readable. Each variant then reports its own rate against a single chosen goal, so the winner is a measurement rather than an opinion.
Variant assignment resolves on the CDN you run, serving the visitor a complete page rather than one that corrects itself in front of them.
Variant assignment resolves at the edge, giving every visitor a complete, final page. Nothing swaps, nothing flickers, nothing blocks render.
The same edges that run your personalization run your experiments, in your existing delivery pipeline.
No client-side rewrites and no cloaking patterns, so testing never puts rankings or Core Web Vitals at risk.
Uniform assigns the variant at the edge. The script-tag path paints a default page, waits for a script, then swaps the content in view, which causes the flicker.
Read the edge-side decisioning docsUniform tests at the composition layer, empowering you to experiment with anything the platform composes, from any source.
Two heroes, three CTAs, alternative product cards: classic A/B, configured visually on the component, no code.
Different page structures, section orders, or layouts against each other: the tests that move numbers most and that script-tag tools cannot express.
Because Uniform composes content, commerce, and data, you can test a CMS-authored hero against a commerce-driven product list, or one recommendation logic against another. If it can be composed, it can be tested.
One slot in one composition renders either variant A or variant B, and both variants draw on the same composed sources: content from a CMS and products from commerce. The traffic split above the slot decides which visitor sees which.
From multivariate to simple A/B test, every variant remains a managed, reusable entity.
In most stacks, testing and personalization are separate tools with separate data, breaking the loop between them. In Uniform, they run on the same components, audiences, and insights: test broadly to learn what wins, personalize the winner to the segments it wins for, then test again inside those segments. Each cycle compounds the previous learnings, and nothing is rebuilt between steps as the variant, the audience, and the experience live in one platform.
Three steps on a circle: test broadly to learn what wins, read the result in insights, then personalize the winner to the segments it wins for. The next test starts inside those segments, so the loop closes rather than ending.
How Uniform personalizes, from first visit to 1:1Uniform ships insights with the platform, so every test reports its own sessions, uplift, and significance, and the decision to keep a variant or replace it is made on evidence.
The losing test is still on screen. That is what testing is for.
The insights dashboard reports sessions, conversion rate, and optimized conversion as KPI cards, and lists every active test and personalization in one table.
Every test reports sessions, uplift, and statistical significance individually, so decisions wait for evidence, not opinions.
Retiring an under-performer is the cheapest optimization you will make all quarter, and the dashboard shows the losers as plainly as the winners.
Every event also streams to Google Analytics, Adobe Analytics, or your analytics of choice, so experiment results live where the business reports.
Every active test sits in one place without stitching reports together to get results.
Make data-driven decisions with the results you create
The gap between owning a testing tool and running a testing program is labor: someone must source the hypotheses, build the variants, watch the numbers, and act on them. Scout is that someone.
Hypotheses drawn from your audiences, pages, and insights, prioritized by expected impact.
The B, C, and D versions generated within your brand standards.
Significance and uplift monitored continuously, ending tests when the evidence is in.
Winners proposed for promotion and follow-up tests suggested, in autonomous or review mode, with humans approving what ships.
The four steps run as a loop: Scout proposes the tests, builds the variants, watches significance and uplift, then acts on the result and feeds what it learned into the next hypothesis.
Hypotheses, variants, significance, and the decision: one agent, your approval.
Start a testing program stops that scales with compute.
Testing tools are often how script-tag arguments begin. Uniform ends it: no third-party JavaScript, variant assignment at the edge you already deploy to, and experiments that ship through the same review process as everything else.
Your framework renders the experience and your edge serves it; variant assignment runs inside that existing pipeline rather than adding a vendor to the request path.
React, Next.js, Svelte, Vue, Astro, Angular: tests render through the components you wrote, using SDKs that fit the framework you run.
Akamai, Cloudflare, Vercel, Netlify: assignment runs on the CDN and hosting you deploy to, with no new infrastructure and no second vendor in the request path.
No third-party script in the visitor's browser and no client-side rewrite, keeping Core Web Vitals exactly where your team fought to get them. Experiments ship through the same CI/CD and review process as everything else you deploy.
The stack remains. Only the experiments change.
Read the edge-side decisioning docsThese run on pages you already have. Pick which matches your next campaign, ship it, and let the result choose the next one.
Two headlines and two supporting images on the page that already has the traffic, so the result arrives in days rather than quarters.
The wording and the position of the primary action on the pages that carry revenue, changed one variable at a time so the answer is readable.
A composition test: the same content in a different structure, to find out whether proof before pricing beats pricing before proof.
An editor's picks against a data-driven list in the same slot, which is the test a script-tag tool cannot express.
One landing page with one variant per channel, ensuring paid, social, and email visitors get the experience they were promised.
VyStar ran a personalized campaign banner against the generic version. One experiment, two months into their program, yielded a result so significant that it changed how the team works.
13% vs 3%
form submission rate on the personalized campaign banner, against the generic version.
1 sprint
the window the team now needs to take a tactic from idea to live. That is what a testing culture looks like from the inside.
2x
loan application completion rate for journeys that began personalized, with the gains attributed to personalization and A/B testing together.
The conversion gains VyStar reports are attributed to personalization and A/B testing together. The two form one program running on one platform, making the learning from either available to both.
Read the VyStar case studyFive questions that can help you decide what's best for your team.
Not with edge-side testing. Uniform assigns variants at the CDN edge before the page renders, so there is no third-party script, no client-side swap, and no flicker: Core Web Vitals stay intact and no cloaking patterns are involved. Performance damage was a script-tag problem, not a testing problem.
Yes. Uniform tests at the composition layer, so anything it composes can be tested: content from your CMS, products from your commerce platform, and data from any source, at component, composition, or whole-experience level, without moving the content anywhere.
Testing finds what works for everyone; personalization applies what works for someone. Start by testing broadly to learn, personalize the winners to the segments they win for, then test again within segments. Uniform runs both on the same components, audiences, and insights, so the loop never breaks.
Uniform reports sessions, uplift, and significance per test in its built-in insights, so a test ends when the evidence supports a decision. Scout can monitor significance continuously and propose promoting winners or retiring losers, with your team approving the outcome.
Scout, Uniform's agent, proposes test hypotheses from your audience data, generates the variants, monitors significance, and recommends promotions and follow-ups, in autonomous or review mode with humans approving what ships. It removes the labor gap between owning a testing tool and running a testing program.
Looking for personalization?
If the plan is to show each visitor the version that already fits them, rather than finding out which version wins, personalization is the page you want. It runs on the same components and the same audiences as everything above.
Start personalizing for the first one today.
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