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B2B Manufacturing

# Years of quotes sat in the CRM while they paid for new leads.

An agent that works the historical pipeline — old quotes, dormant prospects, past customers — and brings paid-for opportunities back to the table without new ad spend.

Reactivation engine Owned sending infrastructure Automated follow-up sequencing Quote automation Custom CRM 

Broken

Thousands of issued quotes went cold while the company paid to buy new leads.

Built

A reactivation engine working the existing pipeline on a fixed cadence, with escalation by deal value.

Now

One of the strongest months on record, on roughly zero new lead spend.

01 // Before and after

reactivation engine 

Q-40118 Day 30 sent Replied 

Q-40233 Day 14 sent Opened 

Q-41007 Escalated Owner assigned 

Q-41552 Day 7 sent Queued 

~$0 new lead spend

quote history 

Q-40118 Sent 14 mo ago No follow-up 

Q-40233 Sent 11 mo ago No follow-up 

Q-41007 Sent 9 mo ago No follow-up 

Q-41552 Sent 6 mo ago No follow-up 

Ad spend climbing to replace this

Before · Cold After · Worked 

‹› 

The same pipeline, finally being worked.

02 // The challenge

## The _challenge._

The company was paying to generate new leads while years of quotes and past customers sat untouched.

-   01 Thousands of issued quotes were never followed up after the first send 
-   02 Past customers went years without a reason to come back 
-   03 Follow-up depended entirely on whether someone remembered to do it 
-   04 New-lead spend kept climbing to replace demand the business already had 

Why off-the-shelf wouldn't work

The demand wasn't missing. It was sitting in the CRM. What was missing was a system that worked the existing pipeline without depending on anyone's memory.

03 // What we built

01

### The sequence

Every open quote and dormant account gets followed up at 7, 14, and 30 days — automatically, whether or not anyone remembers it exists.

cadence · every open quote 

DAY 7

First follow-up

DAY 14

Second touch

DAY 30

Final touch

02

### Red-zone escalation

Above a value threshold, automation steps aside. Those quotes land on a person's desk with the history attached.

escalation · by deal value 

Q-41552 $8,400 Automated 

Q-41007 $62,900 Automated 

Q-40233 $11,200 Automated 

03

### Reply-to-opportunity

A reply doesn't sit in a shared inbox. It flips the record into an active opportunity and routes to the seller who owns it.

reply handling 

REPLY DETECTED LIVE 

RECORD → OPPORTUNITY LIVE 

OWNER ASSIGNED PENDING 

Every reply has an owner before anyone reads it.

04 Owned sending infrastructure Domains, warmup, and deliverability posture belong to the client, not a vendor. 

05 CRM routing of every reply Nothing lands in a shared inbox and waits — every reply has an owner. 

Live · production

## Working the pipeline the business _already paid for._

reactivation · live 

Live 

09:12 Reply · Q-41007 → owner assigned Opportunity 

09:31 Day 14 sequence · 42 accounts Sent 

10:02 Reply · Q-40118 → quote reopened Opportunity 

10:24 Red zone · $62,900 Escalated 

10:48 Day 30 sequence · 18 accounts Sent 

04 // Impact

~$0

New lead spend behind one of the strongest months in company history.

Follow-up at 7, 14, and 30 days on every open quote — and the sending infrastructure stays with the client.

05 // Technical implementation

## Architecture _overview._

A reactivation engine sits on top of the quote history and customer record, sequencing outreach on a fixed cadence and escalating by deal value. Sending runs on infrastructure the client owns, and every reply routes back into the CRM as an owned opportunity.

technical-highlights.md

-   → Cadenced follow-up at 7, 14, and 30 days
-   → Value-based escalation to human sellers
-   → Client-owned sending infrastructure and deliverability
-   → Reply detection with CRM routing and ownership
-   → Automated pricing and freight calculation
-   → Custom CRM built around the sales motion

06 // Field notes

The demand wasn't missing. It was sitting in the CRM.

Follow-up stopped depending on anyone's memory.

07 // Related case studies

[

Manufacturing / Enterprise

### The Manufacturer's Operating System.

Seven connected systems on one data foundation, delivered in sequence — each live before the next begins.

Read case study 

](/case-study/enterprise-manufacturer-operating-system)[

Automotive Services

### The whole business ran on spreadsheets.

Six locations, each with its own spreadsheet and a tab for every day — replaced by one scheduling system, with an intake system covering the phones around the clock.

Read case study 

](/case-study/multi-location-automotive)[

Field Services / Multi-Location Franchise

### The phone rings at 7pm. Nobody's there.

Nights, weekends, and storm-season surges — an AI voice system that answers, qualifies, and books the appointments the business used to sleep through.

Read case study 

](/case-study/tree-care-after-hours)

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