Destination testing has the highest impact when:<\/p>\n\n\n\n For low-traffic links (< 100 clicks\/week), destination testing takes too long to reach significance.<\/p>\n\n\n\n Implement testing at the deep link routing layer:<\/p>\n\n\n\n Use a deterministic hash for consistent assignment:<\/p>\n\n\n\n Track the complete funnel for each variant:<\/p>\n\n\n\n When a user clicks a product ad, do they convert better landing on the product detail page or seeing the product in a browsable collection?<\/p>\n\n\n\n Typical result<\/strong>: Product detail pages win for high-intent sources (search ads, email). Collection views win for discovery sources (social ads, content shares).<\/p>\n\n\n\n Should you build a custom campaign landing page or route to an existing app screen?<\/p>\n\n\n\n Typical result<\/strong>: Custom landing pages win for conversion rate but cost more to build and maintain. Existing screens win for ROI when the uplift doesn't justify the build cost.<\/p>\n\n\n\n For new users arriving via deep links, should they sign up first or see content first?<\/p>\n\n\n\n Typical result<\/strong>: Content-first wins by 20-40% for signup completion because users see value before committing. Auth-first wins for time-sensitive actions (limited offers, expiring content).<\/p>\n\n\n\n Only change the destination, not the copy, design, or pricing. If you change multiple things, you can't attribute the result.<\/p>\n\n\n\n Day-of-week effects are real. Weekend traffic behaves differently from weekday traffic. Run every test for at least 14 days.<\/p>\n\n\n\n The winning variant might differ by source:<\/p>\n\n\n\n A variant that wins on immediate conversion might lose on D30 retention. Track downstream metrics for at least 30 days before declaring a permanent winner.<\/p>\n\n\n\n For A\/B testing features, see Tolinku A\/B testing<\/a>. For test setup, see the A\/B testing documentation<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":" Test which app screens convert best when users tap deep links. Compare product pages, landing screens, and onboarding flows to optimize conversions.<\/p>\n","protected":false},"author":2,"featured_media":1037,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rank_math_title":"A\/B Testing Deep Link Destinations","rank_math_description":"Test which app screens convert best when users tap deep links. Compare product pages, landing screens, and onboarding flows to optimize conversions.","rank_math_focus_keyword":"A\/B test deep link destinations","rank_math_canonical_url":"","rank_math_facebook_title":"","rank_math_facebook_description":"","rank_math_facebook_image":"https:\/\/tolinku.com\/blog\/wp-content\/uploads\/2026\/03\/og-ab-testing-deep-link-destinations.png","rank_math_facebook_image_id":"","rank_math_twitter_title":"","rank_math_twitter_description":"","rank_math_twitter_image":"https:\/\/tolinku.com\/blog\/wp-content\/uploads\/2026\/03\/og-ab-testing-deep-link-destinations.png","footnotes":""},"categories":[13],"tags":[60,37,191,20,225,69,256,33],"class_list":["post-1038","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-growth","tag-ab-testing","tag-analytics","tag-conversions","tag-deep-linking","tag-experimentation","tag-mobile-development","tag-optimization","tag-user-experience"],"_links":{"self":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1038","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/comments?post=1038"}],"version-history":[{"count":2,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1038\/revisions"}],"predecessor-version":[{"id":2224,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1038\/revisions\/2224"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/media\/1037"}],"wp:attachment":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/media?parent=1038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/categories?post=1038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/tags?post=1038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"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\nWhat to Test<\/h2>\n\n\n\n
Common Destination Comparisons<\/h3>\n\n\n\n
\n\n
\n Test<\/th>\n Variant A<\/th>\n Variant B<\/th>\n Primary Metric<\/th>\n<\/tr>\n<\/thead>\n \n Product link<\/td>\n Product detail page<\/td>\n Product in collection view<\/td>\n Purchase rate<\/td>\n<\/tr>\n \n Campaign link<\/td>\n Campaign landing page<\/td>\n Category page with banner<\/td>\n Conversion rate<\/td>\n<\/tr>\n \n Referral link<\/td>\n Referral welcome screen<\/td>\n Home feed with referral banner<\/td>\n Signup completion<\/td>\n<\/tr>\n \n Content share<\/td>\n Full article view<\/td>\n Article preview + signup prompt<\/td>\n Account creation<\/td>\n<\/tr>\n \n Re-engagement<\/td>\n Last viewed screen<\/td>\n Home with "what's new"<\/td>\n Session depth<\/td>\n<\/tr>\n \n Onboarding<\/td>\n Feature tour first<\/td>\n Content first<\/td>\n D7 retention<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n When Destination Testing Matters<\/h3>\n\n\n\n
\n
Implementation<\/h2>\n\n\n\n
Route-Level A\/B Testing<\/h3>\n\n\n\n
function routeDeepLink(url, userId) {\n const path = new URL(url).pathname;\n const params = Object.fromEntries(new URL(url).searchParams);\n\n \/\/ Check for active experiments on this route\n const experiment = getActiveExperiment(path);\n\n if (experiment) {\n const variant = assignVariant(userId, experiment.id);\n const destination = variant.destination;\n\n analytics.track('experiment_impression', {\n experimentId: experiment.id,\n variantId: variant.id,\n originalPath: path,\n actualDestination: destination,\n });\n\n return navigateTo(destination, params);\n }\n\n \/\/ No experiment, use default routing\n return navigateTo(path, params);\n}\n<\/code><\/pre>\n\n\n\nExperiment Configuration<\/h3>\n\n\n\n
const destinationExperiments = {\n product_destination_v2: {\n id: 'product_destination_v2',\n routePattern: '\/product\/:id',\n variants: [\n {\n id: 'product_page',\n weight: 50,\n destination: '\/product\/:id', \/\/ Direct product page\n },\n {\n id: 'product_in_collection',\n weight: 50,\n destination: '\/collection\/:category?highlight=:id', \/\/ Product visible in collection\n },\n ],\n primaryMetric: 'purchase',\n secondaryMetrics: ['add_to_cart', 'time_on_screen', 'bounce_rate'],\n minSampleSize: 2000,\n },\n\n campaign_destination_v1: {\n id: 'campaign_destination_v1',\n routePattern: '\/campaign\/:slug',\n variants: [\n {\n id: 'landing_page',\n weight: 50,\n destination: '\/campaign\/:slug\/landing', \/\/ Custom landing page\n },\n {\n id: 'category_with_banner',\n weight: 50,\n destination: '\/category\/:category?banner=:slug', \/\/ Category + promotional banner\n },\n ],\n primaryMetric: 'conversion',\n secondaryMetrics: ['engagement_time', 'items_viewed'],\n minSampleSize: 1500,\n },\n};\n<\/code><\/pre>\n\n\n\nVariant Assignment<\/h3>\n\n\n\n
function assignVariant(userId, experimentId) {\n \/\/ Check for existing assignment\n const existing = storage.get(`experiment_${experimentId}_${userId}`);\n if (existing) return existing;\n\n \/\/ Deterministic assignment based on user ID\n const hash = djb2Hash(`${userId}-${experimentId}`);\n const experiment = destinationExperiments[experimentId];\n const totalWeight = experiment.variants.reduce((sum, v) => sum + v.weight, 0);\n let bucket = hash % totalWeight;\n\n for (const variant of experiment.variants) {\n bucket -= variant.weight;\n if (bucket < 0) {\n storage.set(`experiment_${experimentId}_${userId}`, variant);\n return variant;\n }\n }\n\n return experiment.variants[0]; \/\/ Fallback\n}\n\nfunction djb2Hash(str) {\n let hash = 5381;\n for (let i = 0; i < str.length; i++) {\n hash = ((hash << 5) + hash) + str.charCodeAt(i);\n }\n return Math.abs(hash);\n}\n<\/code><\/pre>\n\n\n\nTracking and Analysis<\/h2>\n\n\n\n
Event Tracking<\/h3>\n\n\n\n
\/\/ Impression (user saw the destination)\nanalytics.track('destination_viewed', {\n experimentId: 'product_destination_v2',\n variantId: 'product_page',\n productId: 'prod_123',\n source: 'ad_campaign',\n});\n\n\/\/ Engagement (user interacted)\nanalytics.track('destination_engaged', {\n experimentId: 'product_destination_v2',\n variantId: 'product_page',\n action: 'add_to_cart',\n productId: 'prod_123',\n});\n\n\/\/ Conversion (user completed the goal)\nanalytics.track('destination_converted', {\n experimentId: 'product_destination_v2',\n variantId: 'product_page',\n conversionType: 'purchase',\n revenue: 42.50,\n});\n<\/code><\/pre>\n\n\n\nResults Analysis<\/h3>\n\n\n\n
async function analyzeExperiment(experimentId) {\n const experiment = destinationExperiments[experimentId];\n\n for (const variant of experiment.variants) {\n const impressions = await countEvents('destination_viewed', {\n experimentId, variantId: variant.id,\n });\n const engagements = await countEvents('destination_engaged', {\n experimentId, variantId: variant.id,\n });\n const conversions = await countEvents('destination_converted', {\n experimentId, variantId: variant.id,\n });\n const revenue = await sumRevenue('destination_converted', {\n experimentId, variantId: variant.id,\n });\n\n console.log(variant.id, {\n impressions,\n engagementRate: (engagements \/ impressions * 100).toFixed(2) + '%',\n conversionRate: (conversions \/ impressions * 100).toFixed(2) + '%',\n revenuePerImpression: (revenue \/ impressions).toFixed(2),\n avgOrderValue: conversions > 0 ? (revenue \/ conversions).toFixed(2) : 'N\/A',\n });\n }\n}\n<\/code><\/pre>\n\n\n\nStatistical Significance<\/h3>\n\n\n\n
function isSignificant(controlConversions, controlTotal, treatmentConversions, treatmentTotal) {\n const p1 = controlConversions \/ controlTotal;\n const p2 = treatmentConversions \/ treatmentTotal;\n const pPooled = (controlConversions + treatmentConversions) \/ (controlTotal + treatmentTotal);\n\n const se = Math.sqrt(pPooled * (1 - pPooled) * (1 \/ controlTotal + 1 \/ treatmentTotal));\n const z = (p2 - p1) \/ se;\n\n \/\/ z > 1.96 means p < 0.05 (95% confidence)\n return {\n zScore: z.toFixed(3),\n significant: Math.abs(z) > 1.96,\n lift: ((p2 - p1) \/ p1 * 100).toFixed(1) + '%',\n confidence: Math.abs(z) > 2.58 ? '99%' : Math.abs(z) > 1.96 ? '95%' : 'Not significant',\n };\n}\n<\/code><\/pre>\n\n\n\nCommon Test Patterns<\/h2>\n\n\n\n
Pattern 1: Product Page vs. Collection View<\/h3>\n\n\n\n
Pattern 2: Custom Landing vs. Existing Screen<\/h3>\n\n\n\n
Pattern 3: Auth-First vs. Content-First<\/h3>\n\n\n\n
Best Practices<\/h2>\n\n\n\n
1. Test One Variable at a Time<\/h3>\n\n\n\n
2. Run for Minimum 2 Weeks<\/h3>\n\n\n\n
3. Segment Your Results<\/h3>\n\n\n\n
async function analyzeBySource(experimentId) {\n const sources = ['ad', 'email', 'social', 'referral', 'organic'];\n\n for (const source of sources) {\n const results = await getExperimentResults(experimentId, { source });\n console.log(source, results);\n }\n}\n<\/code><\/pre>\n\n\n\n4. Track Long-Term Impact<\/h3>\n\n\n\n