Bring repeat pawn customers back with a timely personal offer
Every Monday, WebRun opens Bravo Store Systems, finds customers who have completed two or more transactions but have not visited in the past 60 days, drafts a personalized offer for each one, and stages the full batch in Slack for a staff member to review and approve before any message is sent.
- No credit card
- Under $0.01 per run
- Cancel anytime
How do I automatically reach out to lapsed repeat pawn shop customers?
WebRun reviews Bravo Store Systems every Monday for repeat customers who have not visited in 60 days, drafts a personalized re-engagement offer for each in Gmail, and posts the batch to Slack for staff approval before anything is sent. High-value accounts are flagged for direct manager outreach, keeping every touchpoint personal and intentional.
- Lapsed repeat customers are identified and contacted every week, not forgotten
- Every offer is personalized to the customer's transaction history
- Staff approve all outreach before it is sent, keeping every message on-brand
Built for pawn shop owners · pawn shop managers · pawn shop marketing staff
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
-
WebRun signs in and gets to work
Opens
www.bravostoresystems.comin a real browser with your saved login - no setup, no API keys. -
1
Bravo Store Systems - find lapsed repeat customers
bravostoresystems.com
WebRun opens Bravo Store Systems to find lapsed repeat customers. - Open Bravo Store Systems and filter the customer list for accounts with two or more completed transactions
- Identify customers whose last visit was more than 60 days ago but within the past 12 months
- Capture customer name, email address, transaction history summary, and preferred transaction type for each
Done when All lapsed repeat customers meeting the criteria are listed with their contact and history details.
-
2
Gmail - draft personalized win-back offers
gmail.com How to Automate Gmail
WebRun opens Gmail to draft personalized win-back offers. - Draft a personalized re-engagement offer for each customer, referencing their history with the shop
- Tailor the offer to their transaction type: a loan rate offer for pawn customers or a buying price offer for sellers
- Save each message as a Gmail draft without sending, for staff to review and approve
Done when All win-back offer drafts are saved in Gmail, unsent, awaiting staff approval.
-
3
Slack - queue for staff approval
slack.com How to Automate Slack
WebRun opens Slack to queue for staff approval. - Post a summary to the staff Slack channel showing the count and segment of customers targeted this week
- Link to the Gmail drafts so any authorized team member can review and approve
- Flag any high-value customer whose outreach should be handled personally by the owner or manager
Done when Staff have this week's win-back queue in Slack and can approve each draft individually.
How is each run configured?
Secure by default
Connect once, stays signed in
WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.
Every action is checked against this policy before it runs.
Questions, answered
Will WebRun send offers to customers without staff approval?
No. Every offer is saved as a Gmail draft and held for review. Nothing reaches a customer until a staff member opens the draft and approves it. High-value customers are also flagged for personal outreach from the owner or manager.
How does it decide which customers qualify as repeat customers?
By default, any customer with two or more completed transactions in Bravo Store Systems qualifies. You can adjust the minimum transaction count and the lapse window (the 60-day and 12-month cutoffs) to match your shop's definition of a loyal customer.
Can the offer include a specific deal or discount?
Yes. Tell WebRun what offers to include, for example a reduced interest rate for pawn loans or a higher buy price for a specific category, and it will personalize the draft accordingly based on each customer's transaction history.
Related templates
Put this on autopilot.
Turn it on in minutes - or have our team set it up for you.