Meta Ads Lead Form and Follow-Up Process
Design a form and a response routine.
The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.
[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.
Design lead generation with Meta lead forms. Offer and who it is for: [OFFER_AND_AUDIENCE]. Information needed to qualify a lead: [QUALIFYING_INFO]. Who follows up and how fast: [FOLLOW_UP_TEAM]. Privacy notice: [PRIVACY_NOTICE]. Design the form (short, with one qualifying question), intro text, privacy link and thank-you screen. Write the follow-up sequence: within the first hour, next day and three days, by email or message, plus a call script. Speed and relevance of follow-up matter as much as the ad. Define lead statuses and a log. Calculate lead cost and quality: 40 leads for 400 spend is 10 per lead; if 6 become customers, cost per customer is 66.67; and track the share contacted within an hour (28 of 40 is 70 percent). Cover consent for marketing messages and data retention [VERIFY], and hold a weekly lead quality review with sales. Results vary and platform rules change, so check current policies [VERIFY].
Fill in before use
Optional: type your details and the prompt above updates. Nothing is saved or sent.
Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.
See an example result (fictional data)
Invented numbers. Spend 400, leads 40; cost per lead 10.00; contacted within 1 hour 28 (70 percent); qualified 16; customers 6. Cost per qualified lead 25.00; cost per customer 66.67. Form fields: name, email, phone (optional), one qualifying question. Follow-up sequence: message within the hour, call next morning, email on day 3. Message: 'Hello Sam, thank you for your enquiry about the open evening. Here are the times; reply with the one you prefer.' Weekly review with sales: lead quality notes and rejected lead reasons.
Illustrative only, made-up data. Your results will differ and must be reviewed.