Objections, answered honestly
This approach attracts predictable pushback, usually from people who are right about the flaw and wrong about what it implies. Each objection is worth meeting head-on, because every one is half-true, and the half that is true is exactly what tells you how to use the method well.
'It is not statistically rigorous.' Correct, and it is the wrong bar. Self-report is a directional compass for where demand is created, not a per-cent allocation engine, and judging it as the latter is judging a compass for failing to be a ruler. Pair it with tracked analytics and the combination reaches around 81 percent accuracy on lead source, far better than either method alone. The rigour you want lives in the overlap, not in the form.
'Buyers misremember.' They do. Recency bias is real, buyers remember the last vivid touch, not the first one that started them. This is not an argument against the method, it is the argument for open text over a leading dropdown, and for reading patterns across thirty-plus answers rather than trusting any single response. One buyer's faulty memory is noise. Fifty buyers naming the same podcast is signal no bias can manufacture.
'Most answers are vague.' Around 72 percent will be, until you group them. "Google", "online", "a friend", on their own these tell you little. But the signal was never meant to live in the vague majority. It lives in the specific minority: the named podcast, the named community, the named person. Those are the answers no tool could ever have surfaced, and a handful of them per month is worth more than a thousand clean rows of channel data you already had.
'It adds friction and hurts conversion.' Only if you put it everywhere, which you will not. On high-intent forms, a demo request, a strategy call, the buyer has already decided and is already typing details. One more field on a booking form is nearly free, and the data it returns can redirect your entire budget. The friction objection is an argument for placement discipline, not against the field.
'My tool already does multi-touch.' Multi-touch still only models what it can track. If most of the journey is dark, a more elaborate model of the visible part is a more confident wrong answer. Multi-touch attribution is a better map of the lit room. It still tells you nothing about the dark one, which is where your buyers were standing the whole time.