AI lead reactivation is overhyped at the macro level and underused at the workflow level. For a NZ optometry practice, that gap is where the actual ROI lives – and where most of our work happens.
Optometry practices · Applied AI
Wake up cold pipeline, built around how a optometry practice actually works.
What AI lead reactivation actually does
Your CRM is sitting on a graveyard of old leads that went quiet. An AI reactivation agent works through them at scale – researches what's changed at their business, writes a relevant re-entry message, and only books a meeting when there's a real reason to reconnect.
- 01 Scores every dormant lead by reactivation likelihood
- 02 Detects buying-trigger events (funding, hiring, product launches)
- 03 Personalised re-entry message referencing what's actually changed
- 04 Reports back which leads to bin and which to call this week
Built on: Claude for research + writing Clay / Apollo for signal data HubSpot / Salesforce / Pipedrive Slack digest of warm wake-ups
Without Kiwi Dynamics
With Kiwi Dynamics
Why optometry practices are different
Optometry practices run their businesses unlike anyone else.
- Optometrists balance eye tests, recalls, and frame sales, with recall reminders often the first thing to slip.
- Recall reminders and insurance or funding queries are the recurring admin load behind every optometry front desk.
How we build AI lead reactivation for optometry practices.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a optometry practice business, so value lands before the build is finished. Wake up cold pipeline.
Talk to usThe outcome for optometry practices
What changes for optometry practices after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. An Auckland agency reactivated 18 deals worth $340k from 2,000 'dead' CRM leads in a single 6-week sweep.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
When does AI lead reactivation actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a optometry practice – so the savings start landing before the rest of the build is finished.
How do you price AI lead reactivation engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most optometry practices are surprised how small the first cheque is.
Do you have proof this works for optometry practices?
Direct case study: An Auckland agency reactivated 18 deals worth $340k from 2,000 'dead' CRM leads in a single 6-week sweep. Happy to walk you through full numbers on a call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI lead reactivation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude for research + writing, Clay / Apollo for signal data, HubSpot / Salesforce / Pipedrive, Slack digest of warm wake-ups but the architecture supports your existing platform choices.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.