Go-To-Market Strategy

ICP & Personas

Four ICP clusters defined by GTM maturity stage. Each cluster has unique pain points, messaging, and buyer personas that drive our product and go-to-market strategy.

Gekko serves B2B SaaS companies from founder-led sales through enterprise-scale GTM organizations. The automation potential and value proposition evolve with each stage.

ICP Cluster Overview

Cluster 1

Founder-Led GTM

Stage: Pre-Seed / Seed
GTM Team: 1 - 3 people
Company: 2 - 15 employees
ARR: Pre-revenue to $500K ARR

The founder IS the sales team. Every outreach email, every demo, every follow-up runs through one or two people. There are no processes, no CRM discipline, no playbooks. Growth depends entirely on founder hustle and network effects.

Cluster 2

The First Sales Team

Stage: Seed / Series A
GTM Team: 3 - 10 people
Company: 15 - 50 employees
ARR: $500K - $3M ARR

The company just hired its first dedicated sales reps and maybe a marketing person. Processes are being established but are inconsistent. The VP Sales is building the playbook from scratch while also carrying a quota. Tools are being adopted but nothing is integrated.

Cluster 3

The Scaling Engine

Stage: Series A / Series B
GTM Team: 10 - 30 people
Company: 50 - 200 employees
ARR: $3M - $15M ARR

The company has found initial product-market fit and is scaling the GTM motion. Multiple teams (SDR, AE, CS, Marketing) exist but operate in silos. A RevOps function is emerging. The challenge shifts from 'does it work' to 'can we scale it efficiently'.

Cluster 4

The Revenue Machine

Stage: Series B / Series C+
GTM Team: 30 - 100+ people
Company: 200 - 1,000 employees
ARR: $15M - $100M+ ARR

Full GTM org with specialized teams, established processes, and significant tool investment. The challenge is efficiency at scale: reducing cost per dollar of revenue, improving predictability, and unlocking autonomous execution for repeatable motions.

Cluster 1Pre-Seed / Seed

Founder-Led GTM

The founder IS the sales team. Every outreach email, every demo, every follow-up runs through one or two people. There are no processes, no CRM discipline, no playbooks. Growth depends entirely on founder hustle and network effects.

1 - 3 people GTM team2 - 15 employeesPre-revenue to $500K ARR

Pain Points

1
Founder spends 60%+ of time on outbound instead of product
2
No repeatable sales process - every deal is ad-hoc
3
Zero visibility into pipeline - it lives in the founder's head
4
Can't afford a full-time SDR or marketing person yet
5
Signal blindness: website visitors, LinkedIn engagement go untracked
6
No time to build email sequences, landing pages, or follow-up automation

Messaging

Your AI co-founder for revenue.

Gekko handles outbound, follow-ups, and pipeline tracking so you can focus on closing deals and building product.

Proof Point

Founders using Gekko reclaim 15+ hours/week from manual outreach while 3x-ing their qualified pipeline.

Buying Triggers

Just raised a round and need to show tractionHiring first AE/SDR but need pipeline ready on day oneCompetitor launched - urgency to accelerate outboundExhausted personal network, need systematic outreach

Key Personas

Founder / CEO

Day in the Life

Splits time between product, fundraising, and doing all the selling. Sends 30-50 cold emails manually from Gmail. Tracks pipeline in a spreadsheet.

Goals
  • Close first 10 design partners
  • Build repeatable pipeline before hiring sales
  • Prove product-market fit with revenue data
Frustrations
  • No time to build sequences or personalize at scale
  • Doesn't know which tool stack to invest in
  • Can't justify $500/mo per tool when budget is tight

Technical Co-Founder

Day in the Life

Builds the product but gets pulled into sales demos. Evaluates tools based on API quality and developer experience.

Goals
  • Automate sales so they can focus on engineering
  • Want programmatic, API-first approach to GTM
  • Ship faster by eliminating manual revenue ops overhead
Frustrations
  • Most sales tools feel like black boxes with no API
  • Hates manual data entry and CRM busywork
  • Existing tools designed for large teams, not for 2 people
Cluster 2Seed / Series A

The First Sales Team

The company just hired its first dedicated sales reps and maybe a marketing person. Processes are being established but are inconsistent. The VP Sales is building the playbook from scratch while also carrying a quota. Tools are being adopted but nothing is integrated.

3 - 10 people GTM team15 - 50 employees$500K - $3M ARR

Pain Points

1
Reps ramp too slowly - no automated onboarding or playbooks
2
SDR and AE handoff is chaotic, leads fall through the cracks
3
Every rep runs their own process - zero consistency
4
CRM data quality is terrible - nobody updates Salesforce/HubSpot
5
Marketing generates MQLs but nobody knows which ones convert
6
Forecast accuracy is below 50% - leadership has no visibility

Messaging

Turn your first sales team into a revenue machine.

Gekko gives your growing team the orchestration, playbooks, and automation that usually require 3-5 point solutions and a RevOps hire.

Proof Point

Teams of 5-10 reps using Gekko see 40% faster ramp time and 2.5x pipeline coverage within 60 days.

Buying Triggers

Just hired VP Sales who wants a modern stackSeries A pressure to prove scalable go-to-marketFirst SDR team starting - need sequencing and prioritizationOutgrowing spreadsheet-based pipeline tracking

Key Personas

VP Sales / Head of Sales

Day in the Life

Carries a personal quota while building the sales org. Spends mornings in 1:1s, afternoons in deals. Struggles to find time for process building.

Goals
  • Build a repeatable, scalable sales playbook
  • Hit team quota while still in build mode
  • Prove to the board that GTM is ready to scale
Frustrations
  • Reps don't follow the process (because there isn't one)
  • No single view of pipeline health across the team
  • Spends 5+ hours/week on CRM hygiene and reporting

SDR / Account Executive

Day in the Life

Juggles 5+ tools daily. Spends more time on data entry than selling. Prioritizes accounts based on gut feeling rather than signals.

Goals
  • Hit quota consistently without burning out
  • Get better leads, not more leads
  • Reduce admin work to spend more time in conversations
Frustrations
  • Tool overload: Outreach + LinkedIn + CRM + Slack + Gong + ...
  • No clear signal on which accounts to prioritize
  • Manual follow-up tracking leads to dropped balls
Cluster 3Series A / Series B

The Scaling Engine

The company has found initial product-market fit and is scaling the GTM motion. Multiple teams (SDR, AE, CS, Marketing) exist but operate in silos. A RevOps function is emerging. The challenge shifts from 'does it work' to 'can we scale it efficiently'.

10 - 30 people GTM team50 - 200 employees$3M - $15M ARR

Pain Points

1
Multi-team coordination is a nightmare - SDR, AE, CS, Marketing all have different data
2
10+ tools in the stack, none talk to each other properly
3
RevOps spends 80% of time on data plumbing instead of strategy
4
Forecast is unreliable - managers sandbag, reps are optimistic
5
Customer handoff from sales to CS drops the ball on expansion revenue
6
CAC is rising but nobody can pinpoint why

Messaging

One OS to orchestrate your entire GTM.

Gekko replaces your 10-tool stack with a single autonomous revenue OS. AI handles the coordination, your team focuses on strategy.

Proof Point

Scaling teams using Gekko consolidate an average of 6 tools, reduce RevOps overhead by 60%, and improve forecast accuracy to 85%+.

Buying Triggers

Board is demanding efficient growth and lower CACHiring a CRO who wants a unified GTM platformExpansion revenue is being left on the tableMajor renewal cycle approaching - need visibility

Key Personas

CRO / VP Revenue

Day in the Life

Manages multiple team leads. Lives in dashboards and forecast calls. Spends 40% of time aligning sales, marketing, and CS priorities.

Goals
  • Drive efficient growth (lower CAC, higher LTV)
  • Unified view across the full revenue lifecycle
  • Predictable, accurate quarterly forecasts
Frustrations
  • Data lives in 10 different systems - no single source of truth
  • Too many meetings to align cross-functional teams
  • Reactive mode: finds out about churn risks too late

RevOps Lead / Manager

Day in the Life

Builds dashboards, fixes data issues, manages tool integrations. Is the bottleneck for every reporting request.

Goals
  • Automate reporting and data hygiene
  • Build scalable processes that work at 2x current headcount
  • Reduce tool sprawl and integration maintenance
Frustrations
  • Spends 80% of time on reactive data fixes
  • Every team wants a different tool and different process
  • No time for strategic projects because of operational firefighting

Head of Marketing / Demand Gen

Day in the Life

Runs campaigns across 4-5 channels. Struggles to prove attribution and ROI. Fights with sales over lead quality.

Goals
  • Prove marketing's revenue impact with clear attribution
  • Align campaigns with sales priorities and ICP targeting
  • Scale content and campaign execution without scaling headcount
Frustrations
  • Sales says leads are bad, marketing says leads are ignored
  • Multi-touch attribution is basically guesswork
  • Campaign insights take weeks to aggregate
Cluster 4Series B / Series C+

The Revenue Machine

Full GTM org with specialized teams, established processes, and significant tool investment. The challenge is efficiency at scale: reducing cost per dollar of revenue, improving predictability, and unlocking autonomous execution for repeatable motions.

30 - 100+ people GTM team200 - 1,000 employees$15M - $100M+ ARR

Pain Points

1
$200K+ annual spend on GTM tools with overlapping functionality
2
Enterprise CRM customization creates vendor lock-in and fragility
3
Reps spend 35%+ of their time on non-selling activities
4
Pipeline predictability degrades as deal complexity increases
5
Competitive intel is scattered across Slack, docs, and tribal knowledge
6
Board-level reporting requires a full-time analyst and is still late

Messaging

Autonomous revenue execution at enterprise scale.

Gekko's AI agents handle the 80% of GTM execution that's repeatable, so your team operates at 3x capacity without 3x headcount.

Proof Point

Enterprise GTM teams using Gekko reduce non-selling time by 45%, consolidate $150K+ in tool spend, and achieve 95% forecast accuracy.

Buying Triggers

CFO demands efficiency - do more with the same headcountPreparing for IPO - need predictable, defensible forecastsLost a major deal to a competitor using AI-driven salesNew CRO mandate to modernize the revenue tech stack

Key Personas

CRO / Chief Revenue Officer

Day in the Life

Board meetings, QBRs, strategic account reviews. Manages a $50M+ quota across multiple teams and segments.

Goals
  • Achieve 95%+ forecast accuracy for board confidence
  • Reduce cost per revenue dollar by 30%
  • Identify and replicate winning patterns across segments
Frustrations
  • Too many layers between data and decision-making
  • Can't get real-time view of pipeline health across 50+ reps
  • AI/automation pilots keep failing because they don't integrate

VP Revenue Operations

Day in the Life

Manages a team of 3-5 RevOps analysts. Oversees CRM, tool stack, data infrastructure, and process design.

Goals
  • Consolidate tool stack from 15 to 5 core platforms
  • Build self-serve analytics so teams stop asking for reports
  • Implement AI-driven automation for repeatable processes
Frustrations
  • Every tool vendor promises AI but delivers a chatbot
  • Integration maintenance is a full-time job for 2 people
  • Data quality issues compound across the entire stack

Sales Director / Regional VP

Day in the Life

Manages 8-15 AEs. Runs weekly forecast calls, deal reviews, and pipeline scrubs. Coaches reps on strategic accounts.

Goals
  • Help reps focus on the right deals at the right time
  • Automate deal inspection so coaching time goes up
  • Predict which deals will slip before they actually slip
Frustrations
  • Deal review prep takes hours of CRM spelunking
  • Reps game the CRM - close dates and amounts are unreliable
  • No proactive alerts - everything is discovered in weekly reviews

Cluster Comparison

DimensionFounder-Led GTMThe First Sales TeamThe Scaling EngineThe Revenue Machine
StagePre-Seed / SeedSeed / Series ASeries A / Series BSeries B / Series C+
GTM Team1 - 3 people3 - 10 people10 - 30 people30 - 100+ people
ARR RangePre-revenue to $500K ARR$500K - $3M ARR$3M - $15M ARR$15M - $100M+ ARR
Primary BuyerFounder / CEOVP SalesCRO / RevOps LeadCRO / VP RevOps
GTM Automation PotentialVery High (90%+)High (80%+)Medium-High (70%+)Medium (60%+)
Sales Cycle1-2 weeks (self-serve)2-4 weeks4-8 weeks8-16 weeks
ACV Target$2K - $6K$12K - $36K$36K - $100K$100K - $300K+
Key MessagingYour AI co-founder for revenue.Turn your first sales team into a revenue machine.One OS to orchestrate your entire GTM.Autonomous revenue execution at enterprise scale.