Lead intake
Renewal data in, leads out.
Brings in customers who are due for a renewal, from spreadsheet imports and an automated feed, and turns each one into a lead.
We built a lead management CRM for a multi-store retailer. It turns customers due for renewal into leads, shares them across stores and consultants without anyone cutting up a spreadsheet, and follows each lead until the deal closes.
When renewal leads arrive as a spreadsheet, a manager cuts the list up by store and emails the pieces out. From then on every lead depends on someone remembering to call, call back and report back. Some consultants get more than their share, some customers are called twice and others are never called at all.
The renewal list sits with a manager until there’s time to cut it up by store. Customers due this week wait, and some renew somewhere else first.
The split is a guess. One store gets more leads than its consultants can call while another runs out by midweek, and both lose sales.
Copies of the sheet reach two stores and both consultants phone the same customer. The customer is irritated, and the consultants argue over who owns the deal.
A customer left off every copy never gets a call. There’s no list of who was missed, so it only shows when the renewal goes elsewhere.
A customer who isn’t ready yet becomes a note in a consultant’s diary. When that consultant is busy, off sick or leaves, the renewal goes with them.
Results come back in different files, if they come back at all. By the time someone has pieced together who closes and who sits on leads, the month is over.
Every one of these starts with the same spreadsheet, which can’t share leads out fairly, remind anyone to call back or show who closed the deal.
Flip the switch to see the same six problems with the CRM running.
A renewal list cut up by hand, a copy in every store and a manager guessing who called whom.
Every lead shared out, chased and reported on by the CRM.
Click through each step to see that part of the CRM at work.
Customers due for renewal arrive from spreadsheet imports and an automated feed. Each one becomes a lead, and validators check the lead details.
A background queue allocates each lead to a store and shares the store’s leads across its consultants. A customer whose account number is already with a consultant goes back to that consultant.
Consultants move each lead through stages such as in communication, awaiting stock and deal complete. A “not interested” lead reopens after 15 days and a future lead reopens on its renewal date, so nobody has to remember.
Excel exports show the leads log, leads per person per status and consultant productivity. Every change to a lead is written to a separate tracking database, so you can see who changed what and when.
Renewal data in, leads out.
Brings in customers who are due for a renewal, from spreadsheet imports and an automated feed, and turns each one into a lead.
One customer, one consultant.
A background queue allocates leads to stores and shares them across each store’s consultants, keeping one customer with one consultant.
No lead left for dead.
Leads move through stages such as in communication, awaiting stock and deal complete; a future lead reopens on its renewal date and a “not interested” lead reopens after 15 days.
Each person sees their part.
Consultants, branch managers, validators, national operations and administrators each see and do what their role allows, and validators check lead details.
Who changed what, and when.
Every change to a lead is written to a separate tracking database, so you can see who changed what and when.
The numbers without the legwork.
Excel exports cover the leads log, leads per person per status and consultant productivity, and an MCP server lets AI assistants query the CRM.
Hover over a card for more.
Everyone keeps their job, and the spreadsheet work around each lead stops.
Wait for their copy of the sheet and hope nobody else has the same customer
Open the CRM to their own leads, and a customer they already have comes back to them
Cut up the list and chase each consultant for results
Get their store’s leads shared out for them and pull leads per person per status as an export
Check details in whichever copy of the sheet they were sent
Check lead details in the same system the consultants work in
Ask every store for its numbers and stitch the files together
Export consultant productivity across the stores in one go
Can’t tell who changed a lead or when
Set what each role can see and do, and read every change in the audit trail
You can keep them where they help. Renewal data can still come in as a spreadsheet import and the reports go out as Excel exports. The cutting up and emailing in between is what the CRM takes over.
This CRM takes its data from spreadsheet imports and an automated feed and leaves the source alone. We’d look at where your renewal data lives and connect to it in the same way.
A background queue allocates leads to stores, then shares each store’s leads across its consultants. A lead with an account number a consultant already has goes to that consultant. The rules for your stores would be agreed with you in discovery.
Five roles, from consultant to national operations and administrators, each see and do what their role allows. Every change to a lead is written to a separate tracking database, so a disputed deal can be traced.
With a discovery call about where your leads come from and how your stores work them. From there we’d agree a first release, for example intake and assignment, and build out the stages and reports once your stores are using it.
Tick what sounds familiar.
Your lead handling is probably in good shape. A CRM like this pays off once you have more stores or more leads than people can track.
You’re likely losing some deals between the spreadsheet and the store. It’s worth looking at where leads drop out.
This is the problem this CRM was built to solve. Let’s talk about where your leads come from and how your stores work them.
Tell us how leads reach your stores today, and we’ll show you how assignment and follow-up could run on their own.
We built a lead management CRM for a multi-store retailer. It turns customers due for renewal into leads, shares them across stores and consultants without anyone cutting up a spreadsheet, and follows each lead until the deal closes.
When renewal leads arrive as a spreadsheet, a manager cuts the list up by store and emails the pieces out. From then on every lead depends on someone remembering to call, call back and report back. Some consultants get more than their share, some customers are called twice and others are never called at all.
The renewal list sits with a manager until there’s time to cut it up by store. Customers due this week wait, and some renew somewhere else first.
The split is a guess. One store gets more leads than its consultants can call while another runs out by midweek, and both lose sales.
Copies of the sheet reach two stores and both consultants phone the same customer. The customer is irritated, and the consultants argue over who owns the deal.
A customer left off every copy never gets a call. There’s no list of who was missed, so it only shows when the renewal goes elsewhere.
A customer who isn’t ready yet becomes a note in a consultant’s diary. When that consultant is busy, off sick or leaves, the renewal goes with them.
Results come back in different files, if they come back at all. By the time someone has pieced together who closes and who sits on leads, the month is over.
Every one of these starts with the same spreadsheet, which can’t share leads out fairly, remind anyone to call back or show who closed the deal.
Flip the switch to see the same six problems with the CRM running.
A renewal list cut up by hand, a copy in every store and a manager guessing who called whom.
Every lead shared out, chased and reported on by the CRM.
Click through each step to see that part of the CRM at work.
Customers due for renewal arrive from spreadsheet imports and an automated feed. Each one becomes a lead, and validators check the lead details.
A background queue allocates each lead to a store and shares the store’s leads across its consultants. A customer whose account number is already with a consultant goes back to that consultant.
Consultants move each lead through stages such as in communication, awaiting stock and deal complete. A “not interested” lead reopens after 15 days and a future lead reopens on its renewal date, so nobody has to remember.
Excel exports show the leads log, leads per person per status and consultant productivity. Every change to a lead is written to a separate tracking database, so you can see who changed what and when.
Renewal data in, leads out.
Brings in customers who are due for a renewal, from spreadsheet imports and an automated feed, and turns each one into a lead.
One customer, one consultant.
A background queue allocates leads to stores and shares them across each store’s consultants, keeping one customer with one consultant.
No lead left for dead.
Leads move through stages such as in communication, awaiting stock and deal complete; a future lead reopens on its renewal date and a “not interested” lead reopens after 15 days.
Each person sees their part.
Consultants, branch managers, validators, national operations and administrators each see and do what their role allows, and validators check lead details.
Who changed what, and when.
Every change to a lead is written to a separate tracking database, so you can see who changed what and when.
The numbers without the legwork.
Excel exports cover the leads log, leads per person per status and consultant productivity, and an MCP server lets AI assistants query the CRM.
Hover over a card for more.
Everyone keeps their job, and the spreadsheet work around each lead stops.
Wait for their copy of the sheet and hope nobody else has the same customer
Open the CRM to their own leads, and a customer they already have comes back to them
Cut up the list and chase each consultant for results
Get their store’s leads shared out for them and pull leads per person per status as an export
Check details in whichever copy of the sheet they were sent
Check lead details in the same system the consultants work in
Ask every store for its numbers and stitch the files together
Export consultant productivity across the stores in one go
Can’t tell who changed a lead or when
Set what each role can see and do, and read every change in the audit trail
You can keep them where they help. Renewal data can still come in as a spreadsheet import and the reports go out as Excel exports. The cutting up and emailing in between is what the CRM takes over.
This CRM takes its data from spreadsheet imports and an automated feed and leaves the source alone. We’d look at where your renewal data lives and connect to it in the same way.
A background queue allocates leads to stores, then shares each store’s leads across its consultants. A lead with an account number a consultant already has goes to that consultant. The rules for your stores would be agreed with you in discovery.
Five roles, from consultant to national operations and administrators, each see and do what their role allows. Every change to a lead is written to a separate tracking database, so a disputed deal can be traced.
With a discovery call about where your leads come from and how your stores work them. From there we’d agree a first release, for example intake and assignment, and build out the stages and reports once your stores are using it.
Tick what sounds familiar.
Your lead handling is probably in good shape. A CRM like this pays off once you have more stores or more leads than people can track.
You’re likely losing some deals between the spreadsheet and the store. It’s worth looking at where leads drop out.
This is the problem this CRM was built to solve. Let’s talk about where your leads come from and how your stores work them.
Tell us how leads reach your stores today, and we’ll show you how assignment and follow-up could run on their own.
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