How to reconcile marketing attribution with real revenue
Learn how source, attribution method, coverage, and data gaps shape whether a marketing revenue result can support a decision.
Understand your marketing.
Make your next move count.
Practical thinking for the people behind the budget. Attribution, customer journeys, and clearer answers about what earns revenue.
Multi-touch attribution: a practical guide to models, data, and decisions
Follow a customer from first click to purchase. Compare credit across models, work through the numbers, and build a reporting process your team can use.
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Attribution models explained: choose the right view for your marketing
Compare first-touch, last-touch, linear, time-decay, and position-based models. Understand assumptions and choose a view for the decision.
Missing marketing data: find the gap and fix your reporting
Learn to distinguish zero from missing marketing data, show source gaps clearly, and restore coverage before a budget review.
AI marketing analytics: turn questions into useful decisions
Use conversational AI to review marketing performance, explain channel changes, compare attribution, and turn source data into a useful decision brief.
Multi-touch attribution: a practical guide to models, data, and decisions
Understand multi-touch attribution models, conversion windows, coverage, and the difference between credit allocation and causal lift.
E-commerce attribution: seven checks before you move budget
Seven practical checks for reconciling store orders, ad-platform conversions, returns, spend coverage, and attribution before moving budget.
Weive vs Triple Whale: build attribution around your business
Compare Weive's custom attribution programs with Triple Whale's ecommerce measurement suite: credit rules, AI model drafting, journeys, reporting, and fit.
Put your marketing
numbers to work.
Connect your sources, explore customer journeys, and understand how your revenue is credited in Weive.