Owner + overloaded admin
The office handles calls, scheduling, billing, and customer updates. Old estimates matter, but no one has protected time to work the queue.
Grove Revive
Bring old estimates back to life.
Revive helps owner-led service businesses turn stale estimates into a clear follow-up queue: what to reopen, what to exclude, who owns the next touch, and what message should go out.
Sample Recovery ScanIllustrative sample data
Uploaded$122.5k
Qualified$87.3k
First batch$52.6k
Range$4.2k-$7.9k
Example figures only. No revenue guarantee. Approved follow-up only.
A
Service requestFall quote. No spring follow-up logged.
$14.2kA
Follow-up readyRecent enough and clean approval path.
$8.2kB
Customer replyWorth review. Scope and pricing may need refresh.
$24.8kHold
Lower-fit estimateLower value. Keep out of first batch.
$2.2kThe leak
The problem is not knowing follow-up matters.
Most owners already know the old quote list should be worked. The breakdown is ownership. The owner is busy, the office is full, the estimator has the context, and the CRM does not chase the queue by itself.
Who this is for
Revive fits the middle: real estimate volume, weak queue ownership.
Software present, process thin
Jobber, Housecall Pro, ServiceTitan, or another tool is in place, but follow-up automations are generic, off, or not regularly reviewed.
Field-led quoting
Technicians or estimators create the quote, but context stays in field notes, texts, or memory. Follow-up needs owner-approved language.
Disciplined CRM shop
Dedicated follow-up roles, dashboards, and close-rate reporting usually mean the problem is optimization, not recovery from neglect.
Owner is back in the field
Admin is buried in scheduling
Estimator has the context
CRM has the record but no owner
Recovery Scan
Show the queue before asking anyone to chase it.
The scan is directional. It separates estimates worth reopening from the ones to hold or exclude, then shows the first batch and the safest next-touch logic before anything is sent.
Total stale estimate value
Age buckets and follow-up gaps
Recoverability tiers
Records to exclude
First follow-up batch
Illustrative recovery scenario
Scoring logic
The scan looks for practical follow-up signal.
Age
Recent enough to reopen, old enough to need a follow-up.
Value
High enough estimate value to justify the campaign work.
Contact
Name, email, phone, and approval link where possible.
Gap
No follow-up, one follow-up, or enough time since last touch.
What Grove needs
A simple export is enough to start.
The first scan does not need a CRM integration. Grove can start with a spreadsheet export from the system you already use and decide whether the stale queue is worth a follow-up sprint.
Estimate ID
Customer name and email
Estimate date
Estimate amount
Service type
Current status
Last follow-up date
Approval link if one exists
See the sample before you send data.
The sample uses illustrative service-business data to show how Grove scores old estimates, identifies the first batch, and avoids chasing records that should be held or excluded.
How it works
A narrow system for stale estimate follow-up.
Upload old estimates
Send a spreadsheet export, or ask Grove for the CSV template if the data is still scattered.
Run the Recovery Scan
Grove scores age, value, service type, contact quality, follow-up history, relationship context, and risk flags.
Approve the first batch
You review exclusions, sender identity, message tone, and the first follow-up batch before anything goes out.
Track what revives
Replies, booked calls, closed invoices, collected revenue, and Grove's success fee stay tied to the original estimate IDs.
Controls
Clean follow-up, not pressure automation.
- Client-approved messages before launch
- Client mailbox or approved sender identity where possible
- Email-first follow-up
- Easy opt-out language
- No SMS without documented consent
- No revenue guarantee
Start here
Ask for the sample scan.
Tell Grove what kind of service business you run, roughly who owns estimate follow-up today, and whether old estimates live in a CRM, spreadsheet, email, or accounting system.
If you are not ready to send data, ask for the fake-data sample or book a short conversation first. The first step is figuring out whether your stale estimate queue is worth testing.