Practical workflow guides
How to follow up with every lead and past client
How many times should you follow up, and how do you win back old leads and ask for reviews? An AI employee drafts each message for you to approve.
Lead nurturing means staying in touch until a lead is ready, and after the job is done. That covers follow-ups, notes to old leads, review requests, renewals and referral asks.
An AI employee drafts each message from the client's history, in your voice. Someone you name approves it before it sends. Review requests go to every customer, with nothing offered for a good review.
Keeping customers pays. Bain & Company found in 2001 that in financial services, a 5% increase in customer retention produces more than a 25% increase in profit.
How the workflow can work
- Your lists get sorted
The AI employee reads your CRM and past jobs. It sorts contacts into new leads, quiet leads, past clients and renewals, and notes when each last heard from you.
- A date or event starts a draft
A quiet lead, a finished job or a renewal date starts a draft. Each one uses the client's own history and your voice.
- A person approves it
You, or someone you name, check each draft and send it. Review requests go to every customer, never only the happy ones.
- Replies come back to you
When someone replies, the AI employee flags it for your team and drafts an answer for a person to approve. An opt-out stops all messages to that contact.
Questions to answer before implementation
Where do your old leads and past clients live, and when did each last hear from you?
Which stages do you track, and what moves someone from one to the next?
What should start a message, like the end of a job or a renewal date?
Who approves the drafts, and when should a person take over the conversation?
What tone fits each list, and when do we stop writing?
Which review sites matter to you, and will you ask every customer?
Which words, claims or offers must a message never include?
What permission do you have to text or call each contact, and how do they opt out?
What to define in the implementation scope
Follow-ups drafted for every open lead, on a schedule instead of from memory
Old leads and past clients contacted with a personal note, not a form letter
Review requests sent to every customer, with no incentive tied to a good review
Renewal reminders and referral asks drafted on time, each approved by a person
Leads and past clients who go quiet, counted against where you started in the Diagnostic
These are proposed workflow outputs, not a promise of results or a fixed monthly deliverable.
Map the work before implementing it.
The free Snapshot helps choose one workflow. The paid Diagnostic documents the current process, baseline, ownership, decisions and proposed scope. Nothing is built during the Diagnostic. Implementation requires a separate written scope.
AI Operations Snapshot: Free. AI Operations Diagnostic: $1,000 once for 1 week, documents only; no implementation is included. Partnership Tiers: Direct Advisory at $2,500/month with 4 engineering hours a month; Strategic Partner at $4,500/month with 8 engineering hours a month; Fractional Product Lead at $7,500/month with 15 engineering hours a month. Each tier has a 3-month commitment and no onboarding fee. Sprint Add-Ons cost extra and require an active Partnership Tier.
It renews for another 3 months at the same price unless you give 30 days' notice before it ends. Renewal reminders and written notice follow the agreement. Licenses, hosting and AI usage are billed separately by the relevant vendors.
Questions owners ask first
- How many times should you follow up on a lead?
There's no proven number. The usual advice is three to six touches over a few weeks, then a polite last message. Leads who showed interest get a check-in about once a month after that.
- How do you follow up with leads without being pushy?
Make each message personal and useful, with one clear next step. Leave a few days between messages, and mix text and email. Stop when a lead says no, and honor every opt-out.
- How do you bring old leads and past customers back?
Clean the list first, and drop addresses that no longer work. Then send a short, personal note that asks what changed and offers something specific. Time it to when they usually need you again.
- How do you ask customers for Google reviews?
Ask every customer soon after the job, by text, email or a QR code. Then reply to each review in your own words. In BrightLocal's 2026 survey of US consumers, 50% were put off by generic or templated replies.
- Is it legal to ask for reviews, or to offer an incentive?
Yes, you can ask real customers. The FTC says don't ask only the happy ones. An incentive can't depend on a positive review, and the review should disclose it. Fake reviews are banned. Check Google's rules too.
- How do you use AI to follow up with leads?
Let AI draft each follow-up from the lead's notes and history, in your voice. A person edits and approves every draft. When a lead replies or is ready to buy, a person takes over the conversation.