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S Analyze my CSV Upload CSV or XLSX and see compatible analyses Start D Find the cause Find the likely cause and check order in three questions Diagnose R Past decisions Check how they turned out Review C Marketing metric calculators Calculate target CPA, ROAS, and A/B sample size Calculate A Weekly check Where did overall performance move this week? Analysis A Change drivers Was the change driven by volume, efficiency, or mix? Analysis A Headroom check Can we scale further without hurting efficiency? Analysis A Budget split Where should the pulled-back budget move next? Analysis A ASA keywords Which terms should move to Exact and receive a CPT change? Analysis A A/B testing Is the observed difference a real effect? Analysis A Incremental lift How much outcome did marketing truly add? Analysis A Brand lift Did branding actually add brand search or direct traffic? Analysis A Panel data setup Attribution & Value Analysis A Trend Was this change from marketing, or the trend it was already on? Analysis A Paid vs Organic Do weeks repeat where Paid rises while Organic falls? Analysis A Cannibalization Is paid spend buying demand that would have come anyway? Analysis A Channel contribution (MMM) How much of the outcome did each channel contribute? Analysis A Forecast What is the next period's outcome, and how much can I trust it? Analysis A Aha moment Which early actions predict retention? Analysis A Store conversion Did store conversion fall because of the page, or because the traffic mix shifted? Analysis A Composition change When the overall metric moved, which audience composition changed? Analysis A Action survival When does a key action drop off, and which group should be tested first? Analysis A Channel overlap Did spend move independently enough to separate channel contribution in MMM? Analysis A Creative fatigue What should we replace and create next? Analysis A Content elements Which content elements drive performance? Analysis P Stored on this device Review or remove files saved in this browser Privacy B Performance marketing blog Learn Blog G Marketing glossary Learn Glossary T CSV templates Prepare data Template C Three ways to measure incrementality — holdout, on/off, ITS A randomized holdout is the most accurate. Otherwise use pre/post or ITS. Compare C MMM or an incrementality experiment — which comes first Run the experiment first. MMM fills in channels you cannot test. Compare C Ways to split ad budget — even, historical, marginal efficiency Split on marginal efficiency, not average efficiency. Compare C Campaign analysis — spreadsheets versus a dedicated tool Aggregation works fine. Variance decomposition and confidence intervals do not. Compare G Developer Collaboration Guide & Technical PRD Tracking Foundation Guide G In-App Event Taxonomy Spec Tracking Foundation Guide G Network Postback Integration Manual Tracking Foundation Guide G iOS Privacy Playbook (ATT & SKAN) Tracking Foundation Guide G Google App Campaigns (UAC) Guide Campaign Execution Guide G Meta Advantage+ App (AAP) Optimization Campaign Execution Guide G Apple Search Ads (ASA) Operations Manual Campaign Execution Guide G App Retargeting & Re-engagement Campaign Execution Guide G App Store Optimization (ASO) Basics Creative & Copy Guide G Ad Creative Specs by Network Creative & Copy Guide G The 3-Second Hook Framework Creative & Copy Guide G Core App Marketing KPI Analysis Analysis & Optimization Guide G Cohort-Based Retention Guide Analysis & Optimization Guide G Organic vs Paid Cannibalization Analysis Analysis & Optimization Guide G CSV Data Prep & Column Mapping Guide Data Guide Guide S Turn on Analyst mode Workspace Setting
