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From market interest to predictable sales machine
How it started
INCGPT, an AI/tech-driven organization, was looking for a way to convert their growing market interest into a predictable sales machine. They came to Sales Surge with a clear question: 'We're getting attention and demo requests, but our funnel and tooling aren't set up to make this scalable. Can you help build a real revenue engine?'
The Challenge
Scattered lead sources
Leads came in through different channels (website, content, network, LinkedIn), but without a clear process
No lead qualification
No clear distinction between marketing-qualified and sales-qualified leads; everyone was in one list
Disconnected outbound
Gut-feel forecasting
Forecasting was mostly 'feeling' rather than data-driven; difficult to manage pipeline and targets
In short: strong product, lots of market interest, but a RevOps foundation that was missing.
What we built
We constructed a complete RevOps foundation: from lead capture to qualified pipeline, with automation at the core.
CRM Foundation
Clear lifecycle and deal stages (lead → MQL → SQL → demo → proposal → customer)
All channels connected (forms, email, outbound tools) creating one source of truth
Multi-channel Outbound
Setup of segmented Instantly/Cold email campaigns combined with LinkedIn sequences
ICPs and personas sharpened; messaging aligned with RevOps, automation and AI pains
Automation & Scoring
Automatic follow-up flows based on behavior (opens, clicks, replies)
Lead scoring so sales can focus on the warmest leads
Reporting & Feedback Loop
Dashboards for reply rate, booking ratio, progress per phase and channel ROI
Everything is set up with the Sales Surge principle: as many reusable blocks (snippets, sequences, dashboards) as possible so scaling becomes easy.
The Results
More relevant conversations
Through better segmentation and automation, conversations shifted from 'random interest' to qualified RevOps/AI cases
Less noise, more focus
Sales worked from one pipeline, knew exactly which leads had priority, and had standard flows for follow-up
Steering information
Management got hard numbers for the first time on 'which channel works', 'what does an appointment cost' and 'where does our funnel stall'
Sales Surge significantly increased our commercial power with smart funnels and a tight approach.
What we do now
Ongoing optimization of campaigns: testing new ICPs, messaging and channels
Further automating the manual 20%, for example expanding templates, incorporating even more signals from tools into scoring
Strategic RevOps sparring: periodically reviewing KPIs and funnel and determining where the next 'surge' should come
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Terug naar Cases
Van marktinteresse naar voorspelbare salesmachine
Hoe het begon
INCGPT, een AI/tech-gedreven organisatie, zocht een manier om hun groeiende interesse in de markt om te zetten in een voorspelbare salesmachine. Ze kwamen bij Sales Surge met een duidelijke vraag: 'Wij krijgen aandacht en demo-aanvragen, maar onze funnel en tooling zijn niet ingericht om dit schaalbaar te maken. Kunnen jullie helpen om hier een echte revenue engine van te bouwen?'
De Uitdaging
Verspreide leadbronnen
Leads kwamen binnen via verschillende kanalen (website, content, netwerk, LinkedIn), maar zonder helder proces
Geen leadkwalificatie
Geen strak onderscheid tussen marketing-qualified en sales-qualified leads; iedereen zat in één lijst
Losgekoppelde outbound
Forecasting op gevoel
Forecasting was grotendeels 'gevoel' in plaats van data-gedreven; moeilijk om pipeline en targets te managen
Kortom: sterk product, veel marktinteresse, maar een RevOps-fundament dat ontbrak.
Wat we hebben gebouwd
We hebben een compleet RevOps-fundament opgezet: van leadcapture tot gekwalificeerde pipeline, met automation als kern.
Heldere lifecycle- en dealstadia (lead → MQL → SQL → demo → voorstel → klant)
Alle kanalen gekoppeld (forms, e-mail, outbound-tools) zodat er één bron van waarheid ontstond
Multi-channel outbound
Opzet van gesegmenteerde Instantly/Cold e-mail campagnes in combinatie met LinkedIn sequences
ICP's en persona's aangescherpt; messaging afgestemd op pains rond RevOps, automation en AI
Automation & scoring
Automatische opvolgflows op basis van gedrag (openen, klikken, antwoorden)
Lead scoring zodat sales zich kan richten op de warmste leads
Reporting & feedbackloop
Dashboards voor reply-rate, boekingsratio, doorloop per fase en channel-ROI
Alles is opgezet met het Sales Surge-principe: zo veel mogelijk herbruikbare blokken (snippets, sequences, dashboards) zodat opschalen makkelijk wordt.
De Resultaten
Meer relevante gesprekken
Door betere segmentatie en automation verschoven gesprekken van 'random interest' naar gekwalificeerde RevOps/AI-cases
Minder ruis, meer focus
Sales werkte vanuit één pipeline, wist precies welke leads prioriteit hadden, en had standaardflows voor opvolging
Management kreeg voor het eerst harde cijfers op 'welk kanaal werkt', 'wat kost een afspraak' en 'waar stokt onze funnel?'
Sales Surge heeft met slimme funnels en een strakke aanpak onze commerciële slagkracht aanzienlijk vergroot.
Wat we nu doen
Doorlopende optimalisatie van campagnes: test van nieuwe ICP's, messaging en kanalen
Verder automatiseren van de handmatige 20%, bijvoorbeeld templates uitbreiden, nog meer signaaltjes uit tools meenemen in scoring
Strategische RevOps-sparring: periodiek de KPI's en funnel doornemen en bepalen waar de volgende 'surge' moet komen
Ook zulke resultaten?
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INCGPT Case Study | Sales Surge
How INCGPT achieved AI-first lead generation and conversion optimization with Sales Surge
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which channel works
what does an appointment cost
where does our funnel stall
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(LinkedIn / email) was running, but wasn't connected to
and results were hard to measure
(LinkedIn / e-mail) draaide, maar was niet gekoppeld aan
en resultaten waren lastig te meten
Bert Blevins
Owner • INCGPT
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