Lead Generation Survey Template
“How did you hear about us?” may be the most-asked question in business, and it is answered badly almost everywhere it appears. The channel dropdown sits at the end of a signup form, answered in two seconds by someone who barely remembers, choosing whichever option reads closest — and the resulting spreadsheet steers real budgets toward whatever the option list made easy to click. The question deserves better, because its answers decide where money goes.
This lead generation survey template treats attribution as the research instrument it actually is: recall asked properly, channels structured honestly, self-reported answers reconciled against what the links themselves recorded, and quality weighted above volume. Run well, it tells you not just where leads come from, but where customers come from — the distinction most attribution never survives.
Ask Unaided Before You Offer Options
The cardinal error is leading with the list. Show respondents eight channels and you have taught them the answer’s vocabulary; their recall collapses into your taxonomy, and the spreadsheet becomes a mirror of the dropdown. The sequence that produces truth:
- Unaided recall first, as a long text prompt: think back — where did you first come across us? Be as specific as you can. The verbatims reveal what no taxonomy contains: the podcast episode, the colleague’s recommendation, the Reddit thread, the conference booth. This is where genuinely new channels are discovered.
- The structured pass second, via multiple choice: a balanced channel list — search, social, referral, event, podcast, advertisement, and a real other — that makes the data countable. The unaided answers calibrate the list; the list makes the data usable.
The pair takes one extra question and converts mush into method.
The Journey, Not Just the Door
First-touch channel is a fraction of the story. Two companions complete it:
- The path. What did they do between hearing and arriving — searched the brand name, read reviews, asked in a community? A multiple choice on the bridge steps, because channels whose leads arrive via a research detour behave differently from direct ones.
- The trigger. What made them look in the first place — a problem, a recommendation, a launch announcement? Channels are interchangeable; triggers are strategic.
What the Links Know
Self-reported attribution and link-level tracking answer different questions, and the reconciliation between them is where the insight lives. Tag every distribution link with the UTM builder and pass the parameters through hidden fields — now each response carries both stories: what the respondent said and what the link knew.
The mismatches are the findings. When a third of respondents who arrived via your partner’s newsletter report “search,” the newsletter is seeding branded searches you were crediting to SEO — a channel you were underfunding because analytics showed it only as its own shadow. Self-report captures word of mouth and dark social that no parameter ever will; the link data catches everything memory rounds off. Neither alone is attribution. The comparison is.
Weight by Quality, Not Volume
Volume-flattered channels are the most common attribution failure: a source that produces a thousand leads who never buy outranks one producing forty who all convert. The template asks its best questions of people who already converted — run the survey against your customer base, not just your lead list, and the channel comparison becomes a customer comparison. Where practical, hidden fields mark respondent status — lead, customer, churned — so the same instrument reads the whole funnel and the budget question finally has the right denominator.
Results collect in the response view, sliceable by channel, status, and journey. The template sits in the market research sub-category — because that is what it is — and its findings feed the generate leads collection it measures.
Frequently Asked Questions
When should the survey be asked — at signup or after conversion?
At both moments, for different reads. Signup captures recall while it’s fresh but samples browsers; post-conversion samples the population your budget actually serves. If forced to choose one, choose converted customers — channel decisions built on buyer attribution outperform ones built on visitor attribution, even at smaller sample sizes.
Self-reported answers disagree with our analytics. Which do we trust?
Both, for what each is for. Analytics measures the measurable last touch with precision; surveys capture the unmeasurable origins — podcasts heard in the car, recommendations in group chats — that analytics structurally cannot see. Where they disagree, the interesting question is what journey turns a podcast into a branded search, and that answer usually reallocates budget more accurately than either source alone.
How long should the channel list be?
Eight to twelve options, built from your unaided verbatims and refreshed when those verbatims stop fitting the list. A short list forces false choices; an exhaustive one becomes a scroll. Include a genuine other with follow-up — a channel list’s other share is its own KPI, and a growing one means the market added a channel before your list did.
How often should attribution research re-run?
Lightweight and continuous beats heavy and rare: the structured question can ride along on routine touchpoints every quarter, while the full unaided-plus-journey instrument runs twice a year. Channels shift faster than annual research can see, and the verbatim stream is the early-warning system for the shift.
What sample size does channel research need?
Enough that each channel you intend to act on holds a floor of responses — the sample size calculator sets the headline number, and the channel split multiplies it. For small populations, aggregate to the channel families (earned, owned, paid, referred) and read those confidently rather than over-reading a podcast’s fourteen responses.