[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"glossary-self-reported-attribution::en":3,"gloss-cluster-self-reported-attribution::en":23,"gloss-next-self-reported-attribution::en":9},{"slug":4,"category":5,"name":6,"definition":7,"meta_desc":8,"faq":9,"schema_markup":9,"related":10},"self-reported-attribution","analytics","Self-Reported Attribution","Self-reported attribution is asking people where they heard about you rather than inferring it from tracking. It is usually a free-text or short-list question in the signup flow, and it exists because tracked attribution systematically cannot see a large part of how software gets discovered: a recommendation in a private group chat, a podcast heard in a car, a colleague at a previous job, a conversation at a conference. None of those leave a click, so a tracked report either misses them or files them under direct and last-touch, quietly crediting whichever measurable thing happened last. Asking closes part of that gap, and it is cheap. It is also unreliable in specific, predictable ways, which is what makes it useful rather than decorative. People misremember, and they compress a long path into whichever touch is easiest to name — a buyer who read your writing for a year and then searched your brand will often answer with the search. Free text is honest but hard to aggregate; a fixed list is aggregatable but shapes the answer and cannot learn a channel you did not think of. Response rates vary by how prominent and how optional the question is, and making it mandatory buys coverage at the cost of quality. So treat it as a second, differently-biased instrument rather than as ground truth. Read it alongside tracked attribution and pay most attention to where the two disagree, because that disagreement is a map of what your tracking cannot see. Keep the wording stable so the answers stay comparable over time, and resist the temptation to reconcile the two into one number — they are answering different questions, and averaging them produces a figure that answers neither. One design detail carries most of the value: ask after the person has committed rather than before, since a question placed in front of the signup button costs you conversions and collects the answer of someone in a hurry.","Self-reported attribution asks instead of tracking. Its biases are predictable, and the useful signal is where it disagrees with your tracked report.",null,[11,14,17,20],{"slug":12,"name":13},"attribution-model","Attribution Model",{"slug":15,"name":16},"channel-market-fit","Channel-Market Fit",{"slug":18,"name":19},"identity-resolution","Identity Resolution",{"slug":21,"name":22},"multi-touch-attribution","Multi-Touch Attribution",[24,28,31,34,37,40,44,47,50,53,56,59],{"slug":25,"category":5,"name":26,"updated_at":27},"ab-testing","A\u002FB Testing","2026-09-08T21:32:36+00:00",{"slug":29,"category":5,"name":30,"updated_at":27},"active-user","Active User (DAU, WAU, MAU)",{"slug":32,"category":5,"name":33,"updated_at":27},"autocapture","Autocapture",{"slug":35,"category":5,"name":36,"updated_at":27},"cost-per-resolution","Cost per Resolution",{"slug":38,"category":5,"name":39,"updated_at":27},"customer-data-platform","Customer Data Platform (CDP)",{"slug":41,"category":5,"name":42,"updated_at":43},"data-sampling","Data Sampling","2026-09-08T21:32:37+00:00",{"slug":45,"category":5,"name":46,"updated_at":27},"deflection-rate","Deflection Rate",{"slug":48,"category":5,"name":49,"updated_at":43},"double-counting","Double Counting",{"slug":51,"category":5,"name":52,"updated_at":43},"feedback-signal","Feedback Signal",{"slug":54,"category":5,"name":55,"updated_at":43},"goodharts-law","Goodhart's Law",{"slug":57,"category":5,"name":58,"updated_at":27},"guardrail-metric","Guardrail Metric",{"slug":18,"category":5,"name":19,"updated_at":27}]