{"id":1062,"date":"2026-05-12T17:00:00","date_gmt":"2026-05-12T22:00:00","guid":{"rendered":"https:\/\/tolinku.com\/blog\/?p=1062"},"modified":"2026-03-07T03:34:37","modified_gmt":"2026-03-07T08:34:37","slug":"ab-testing-tools-comparison","status":"publish","type":"post","link":"https:\/\/tolinku.com\/blog\/ab-testing-tools-comparison\/","title":{"rendered":"A\/B Testing Tools for Mobile Deep Links: Comparison"},"content":{"rendered":"\n
Running A\/B tests on deep links requires tools that can split traffic at the link level, track users across web and app, and handle the complexity of deferred deep linking. Not every A\/B testing tool supports these requirements. This guide compares the approaches: using your deep linking platform's built-in testing, integrating a general-purpose A\/B testing tool, or building custom testing infrastructure.<\/p>\n\n\n\n
This covers 80% of use cases. The remaining 20% (statistical engine, guardrail metrics, mutual exclusion, ramp-up) is where the engineering cost grows significantly.<\/p>\n\n\n\n
Choosing the Right Setup<\/h2>\n\n\n\n
Decision Framework<\/h3>\n\n\n\n
function recommendSetup(requirements) {\n const { dailyTraffic, experiments, engineeringTeamSize, budget, deepLinkFocus } = requirements;\n\n if (deepLinkFocus && experiments <= 5) {\n return {\n recommendation: 'Built-in platform testing',\n reason: 'Simplest setup for link-level experiments',\n cost: 'Included',\n };\n }\n\n if (experiments > 5 && engineeringTeamSize < 5) {\n return {\n recommendation: 'General-purpose tool (managed)',\n reason: 'Full experimentation without build cost',\n cost: '$100-2000\/mo',\n };\n }\n\n if (engineeringTeamSize >= 5 && dailyTraffic > 100000) {\n return {\n recommendation: 'Hybrid (platform + custom or open source)',\n reason: 'Scale and control without vendor lock-in',\n cost: 'Engineering time + hosting',\n };\n }\n\n return {\n recommendation: 'Built-in platform + managed tool',\n reason: 'Best of both worlds',\n cost: '$100-500\/mo',\n };\n}\n<\/code><\/pre>\n\n\n\n
Best Practices<\/h2>\n\n\n\n\n
Start with your deep linking platform<\/strong>: If it offers A\/B testing, use it before adding another tool.<\/li>\n
Don't over-engineer early<\/strong>: A simple variant assignment function covers most early-stage experiments.<\/li>\n
Ensure cross-platform identity<\/strong>: Whatever tool you use, make sure you can track the same user from link click through app conversion.<\/li>\n
Separate link experiments from in-app experiments<\/strong>: Use the right tool for each. Don't force a general-purpose tool to do link-level splitting, and don't force your deep linking platform to do in-app feature flags.<\/li>\n
Track the full funnel<\/strong>: Any tool is only useful if you can track from impression through conversion. Verify end-to-end tracking before scaling experiments.<\/li>\n<\/ol>\n\n\n\n
![\"Tolinku](\"https:\/\/tolinku.com\/blog\/wp-content\/uploads\/2026\/03\/platform-ab-tests.png\")
\nThe A\/B tests list page showing test names, status, types, and variant counts.<\/em><\/p>\n\n\n\n