Comparison
Looplift vs. classic A/B testing suites
Classic experimentation platforms — visual editors, feature flags, stats dashboards — are mature, capable tools. But they share one assumption: that you arrive already knowing what to test. You bring the hypothesis, the variant design, and the roadmap; the suite brings infrastructure.
Looplift inverts that. It starts one step earlier — auditing your site to find the problems — and ends one step later, feeding results back into what it proposes next. The infrastructure in the middle is deliberately simpler.
| Classic testing suite | Looplift | |
|---|---|---|
| Where ideas come from | You. The tool runs whatever your team designs; an empty dashboard is the famous failure mode. | The audit. Every run produces three concrete, evidence-backed proposals with hypothesis and variant included. |
| Building variants | A visual editor or your developers; someone still has to design and build each variant. | Generated from your actual page content, then human-reviewed. Changes are restricted to an allow-listed declarative format — never arbitrary generated JavaScript. |
| Breadth of features | Deep: multivariate tests, server-side flags, mutually exclusive experiments, audience segmentation, integrations. | Narrow on purpose: A/B tests via a first-party snippet, with traffic allocation and device targeting. No server-side testing, no multivariate. |
| Calling results | Varies across products and configurations — several ship fixed-horizon statistics where peeking silently inflates false positives. | One way only: confidence intervals plus a peeking-safe verdict. The product refuses to call a test that hasn't earned it. |
| After a win | Typically you re-implement the winner in your codebase and archive the test; keeping lessons is your process's job. | Promotion is a first-class step: winners become versioned baselines, and the learning enters your organization's memory to rank future proposals. |
| Safety model | Mature and configurable; arbitrary custom JS in variants is usually allowed, which is power and risk in one feature. | Human approval gates every launch and promotion, approvals are pinned to the exact variant version, and the snippet fails open. |
When classic testing suite is the better choice
- You need server-side experiments, feature flags, or multivariate testing — Looplift does not do these.
- You have a dedicated experimentation team with a full backlog; your bottleneck is infrastructure sophistication, not ideas.
- You need deep integration with a data warehouse or a custom metrics pipeline.
When Looplift is the better choice
- Your current testing tool's dashboard is empty — the bottleneck is deciding what to test and building the variants.
- You have no engineer to spare: the snippet is the whole integration, and variants need no code deploy.
- You want statistics that survive being watched, without configuring them yourself.
A classic suite is a power tool for teams that already have a testing practice. Looplift is the practice, packaged — narrower rails, but with the two hard parts (knowing what to test, calling results honestly) done for you.
The cheapest way to decide
Run the free audit. In minutes you get three specific, evidence-backed experiment proposals for your own site — then judge the quality of the thinking for yourself. No card required, and nothing launches without your approval.