Six reps are ready. Now the pipeline has to match.
A signal-driven outbound system for the plant leaders, reliability teams, and ERP owners that ads and cold calls only reach so often. Built to feed the six AEs you have today and the twenty you are planning for.
PREPARED FOR WAYNE BULSIEWICZ · DALLAS, TX · ST. PETERSBURG, FL
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Section 01 · The moment
The sales team tripled. The lead flow did not.
Redlist went from two account executives to six since August, with three more planned by year end. The pipeline sources are the ones that fed a team of two.
2→6
Account executives since August
~80
LinkedIn ad leads per month
1
Human SDR supporting six reps
20
AEs in 18 months if targets hit
/01
Events convert best, and there are two or three a year
The audience is right and the intent is real. The calendar caps the volume.
/02
Cold calling works, and it eats selling hours
Six AEs now own their books and dial into them. Every hour spent finding who to call is an hour not spent closing.
/03
Ads bring volume, and some of it is noise
A demo-for-AirPods offer pulls in people who want AirPods. Targeting and messaging lose signal on the way to the real buyer.
“I need to scale.”
Wayne · discovery call · October 21
Section 02 · What we know about your buyers
Four campaigns. One signal program.
Two lookalikes built from accounts you already win. Two TAM campaigns that test every relevant persona across your industries. One high-intent program that watches for the strongest buying signals. All of it runs inside one monthly fee.
Lookalike
Modeled on the customers you already win. Quick wins, and a story a peer recognizes.
LK1 · LOOKALIKE
Remote mining and heavy-industry sites
Modeled on your strongest customer: a mining operator on JDE whose crews work outside coverage.
Mining, aggregates, and heavy-industry operators with remote or large sites, mid-market to enterprise, ideally on JDE or SAP
Data
Operator lists matched on site remoteness and ERP stack from job posts and tech-stack data
Pain points
Rounds get written on paper when the signal drops, then re-keyed days later
Field data reaches the ERP late or never, so leadership reports on stale numbers
Veteran technicians retiring with the plant in their heads
Why they reply
A peer in their industry solved the same offline and ERP problem. We lead with offline capture and ERP sync, the two things that won the account you have.
Proof we lean on
Redlist runs the full route offline on phones and tablets and syncs with SAP, Oracle EAM, JDE, and Maximo.
Trigger events
New mine, pit, or site expansion
Plant manager or maintenance leader job post
JDE or SAP upgrade announced
LK2 · LOOKALIKE
Pulp, paper, and wood products plants
Modeled on your traditional stronghold and your most quotable result.
Large or multi-site mills and plants, 500+ employees, small maintenance teams
Data
Mill and plant lists by subsector, employee count, and plant count
Pain points
Unplanned downtime priced in thousands of dollars per hour
One missed grease point starts the failure chain
No proof the PM was done on the right asset, on time
Why they reply
Downtime has a dollar figure attached, and a peer has already put a number on it. A plant manager can take that number to their own boss.
Proof we lean on
A wood products company with nearly 5,000 employees and 20 plants across 13 states saved $5,000 per hour of equipment downtime with Redlist.
Trigger events
New mill or plant manager hire
Recent downtime, fire, or safety incident
Capital project or line expansion
TAM
Volume across the full market, split by buyer. Finds which industry and persona respond, then scales into the winners.
TM1 · TAM
Plant-floor leaders across manufacturing, metals, and oil and gas
The volume campaign. It tests which industry and which persona responds fastest, then scales into the winners.
Who we reach
Maintenance ManagerReliability EngineerMaintenance PlannerPlant ManagerVP of OperationsEHS Manager
Companies
Asset-intensive plants and facilities with 500+ employees across general manufacturing, steel and metals, and oil and gas
Data
Full-market plant lists by subsector and size, with LinkedIn tenure data on maintenance leaders
Pain points
The CMMS says the PM closed, but not that the right lubricant went into the right point
The retiring crew knows the route and nothing written down replaces them
Safety checks and lube programs live on paper, so incidents and wasted lubricant hide in the gaps
Why they reply
Each persona gets its own angle. Maintenance leaders hear the proof-of-work gap. Plant leaders hear downtime cost. EHS leaders hear the incident number. We keep the angle that earns replies in each industry.
Proof we lean on
A global steel producer cut incidents by 50% with the Redlist safety app. A US metals manufacturer saved $209,070 on its lube program. Deloitte and the Manufacturing Institute project up to 3.8 million manufacturing roles needed by 2033, with about half at risk of going unfilled.
Trigger events
Maintenance technician or reliability engineer job post
New EHS or plant manager hire
Incident, audit, or shutdown news
TM2 · TAM
IT and ERP owners at asset-heavy enterprises
The message you have not tested yet, and the buyer where company-wide rollouts stall.
Who we reach
Director of ITERP or EAM ManagerDigital Transformation LeadOperational Technology Lead
Companies
Enterprises on SAP, JDE, Oracle EAM, or Maximo whose plants feed the ERP poor field data
Data
Accounts matched on ERP stack, paired with a plant-leader email at the same account
Pain points
Millions spent on the ERP and plant data still arrives late, messy, or on paper
Sensor and IoT projects with no clean path into the system of record
Pressure to show return on digital transformation spend
Why they reply
Redlist makes an investment they already made more valuable, instead of asking IT to adopt another tool. SAP ECC mainstream maintenance ends in December 2027, so many of these teams are deciding right now what data feeds the next system.
Proof we lean on
Redlist syncs with SAP, Oracle EAM, JDE, and Maximo in both directions. SAP ends mainstream maintenance for ECC on December 31, 2027, and a full migration typically takes 18 to 36 months.
Trigger events
S/4HANA, EAM, or integration job posts
ERP migration or EAM rollout announced
Sensor or IoT deployment at a plant
High-intent
The strongest signals we can watch or run, ranked. Each one gives a reason to reach out now.
#
Signal
Why it works
Where it comes from
1
Champion changed employers
A past Redlist user now holds a maintenance or plant role at a new company. The warmest reply in outbound.
HubSpot users matched to LinkedIn job changes
2
New plant or reliability leader
First 90 days. New leaders inherit the maintenance program and need a quick win.
LinkedIn role starts and press releases
3
ERP or EAM project live
Active projects decide which tools get connected for years. We reach IT and plant leaders at the same account.
Job posts and project announcements
4
New or remote site opening
A fresh maintenance program, often without connectivity. The best moment to pick a system.
Press, permits, local news, site job posts
5
Dream-100 account changes
Daily crawl of 100 named accounts. Changes go to the owning AE in Slack with an enriched mobile number. We never email these accounts.
Site pages, LinkedIn, filings, news
6
Event pre-show and post-show
Your best channel, multiplied. Meetings booked before the booth opens and follow-up for everyone who walked past.
Exhibitor and attendee lists, speaker rosters
Your top 100 accounts are precious. We watch them and hand your AEs the reason to call. We never email them ourselves.
Section 03 · How we win attention
Specific beats clever. Every time.
Plant managers and IT owners get a lot of vendor email. The ones that get answered sound like they were written by someone who has walked the plant.
01
Research first
Before writing a word, we study how each buyer actually talks, in the forums, groups, and job posts they live in. A plant manager and an ERP owner do not read the same email.
02
One problem, one proof, one question
Every message opens with a problem at their site, carries one named result, and ends with a question that takes ten seconds to answer.
03
Learn from every reply
Replies are logged against hook, persona, and segment. Winners get volume. Leads recycle every three months with a fresh angle.
Section 04 · Build or buy
Run both. Let the calendar decide.
An in-house outbound AI SDR is on the Q4 roadmap. We think you should keep it there and run us alongside it, the same way you tested the inbound SDR. By month three you compare booked meetings side by side. The 14-day out clause keeps the downside on our side of the table.
What outbound needs
BuzzLead · included
In-house build
Buyer data for the whole market
Scraped, scored, and segmented
Zoom Info exports plus manual list work
Sending infrastructure
Dedicated domains and mailboxes, warmed, monitored, 95% or better deliverability
Domains, warmup, and monitoring to set up and maintain
Copy and persona research
Voice-of-ICP research and buyer-specific angles
Prompting and iteration on top of engineering time
Reply handling and booking
Managed inbox, objections, and meetings on your calendar
Someone has to read every reply
Custom signals
Crawlers on 100 accounts plus hiring, role-change, and ERP triggers
Each signal is its own build
Time to first meeting
Live in week three
Q4 build, then testing
Engineering time is your scarcest input. Spend it on the product. We handle the pipeline, and your team keeps every list, every learning, and every signal we build.
Section 05 · The economics
One closed account covers the pilot.
Your average first-year contract is about $40,000, and most land on three-year terms. The math below uses your numbers and our pricing. We will rebuild it with your LinkedIn cost per lead on Tuesday.
$40K
Average first-year contract value
$21.5-26K
Four-month pilot, all in
1
Closed deal covers the pilot
10-20
Qualified opportunities per month at maturity
ILLUSTRATIVE. NO CLOSE RATE ASSUMED. AT STEADY STATE, 10 TO 20 OPPORTUNITIES A MONTH ON $5,000 TO $6,000 IN MONTHLY FEES WORKS OUT TO ROUGHLY $250 TO $600 PER OPPORTUNITY.
Section 06 · The first four months
Quiet build. Fast feedback.
Weeks 1-2
Onboarding and build
A 20-question onboarding form on product, buyers, pain points, and case studies
Domains purchased, mailboxes set up and warming
Your full market mapped, scored, and segmented by buyer
Voice-of-ICP research on how each buyer actually talks
Weeks 3-6
Lookalike and TAM campaigns go live
First meetings typically show up within two weeks of launch.
Replies logged daily: which hook, which persona, which segment
Managed inbox, objection handling, and booking onto your calendar
Weeks 7-12
Signals come online, winners scale
Dream-100 alerts and enriched mobile numbers flow to your AEs in Slack
Champion tracking and closed-lost revival connect to HubSpot
Weak angles retire. Strong segments get more volume
Month four
The review, with a 14-day out clause
By roughly month 2.5 of live campaigns, results are stable enough to judge against the in-house build. The pilot can be shortened to three months, and the out clause means you are never locked in.
Section 07 · The precedent
Your new VP of Sales has seen this work.
Lumion, software for trade and technical schools, came to BuzzLead after a $10.7M seed round with a growing AE and BDR team. Their reps kept dialing. We supplied the meetings. John Ragsdale joined Redlist from there.
50+
Meetings scheduled · first 31 days
100+
Positive replies · month one
80%
Hold rate on booked meetings
Your market is smaller and your buyers are more technical than Lumion's. The mechanics carry over: a verified list, buyer-specific messaging, and a feedback loop that gets sharper every week.
“In the span of a month, we've had well over 100 positive responses. We've scheduled 45 to 55-plus meetings with an 80% hold rate.”