Trend · 01
All-in-one platforms consolidate the stack
Apollo and Enginy reduce 5-7 tools to one: database, enrichment, sequences, CRM, AI agent. Fewer invoices, fewer integrations, centralized data.
● GTM Engineering
GTM Strategy.
We design the complete go-to-market engine. ICP, data, multi-channel, integrated CRM, intent signals and real revenue measurement, centered on the two platforms that best solve it today.
The context
Why it matters today more than ever.
Until recently, «GTM» was consultant jargon. Today it's the bottleneck for any B2B company that wants to grow. Buyers are more elusive, SDRs cost more, and AI has invaded inboxes. GTM is no longer marketing + sales with biweekly meetings, it's an operational discipline with its own tooling.
Trend · 02
Intent signals > static lists
Funding, hiring, stack changes, web visits, buying-moment signals that modern GTM prioritizes with data. The cold-call-blind era is over.
Trend · 03
European compliance as an advantage
GDPR and ISO 27001 are no longer a brake, they're a stamp that differentiates in EU markets. The right GTM platform turns compliance into a sales argument.
The problem
Where your system always breaks.
Symptoms vary from company to company, but the patterns repeat. These are the four structural pains we find in practically every GTM audit we run.
01
Vague or unshared ICP
«Tech companies of 50-500 employees». That's not an ICP: it's a category. Without hard criteria (title, stack, signal, size, geography, vertical), every SDR chases what sounds good to them. Nobody chases the same thing.
Impact
Total dispersion of effort. Campaign data isn't comparable.
02
Marketing and sales misaligned
Marketing generates «leads» that sales doesn't consider leads. Sales complains about quality; marketing about follow-up. Each team measures different things, and MQLs never convert to SQLs at the promised rate.
Impact
Biweekly squabble between teams, leads lost in the handoff, no clear owner.
03
Fragmented stack: 5+ tools that don't talk
Apollo, Lemlist, ZoomInfo, Sales Navigator, separate CRM, spreadsheet for the special cases. Each one with its login, its invoice and data that don't sync.
Impact
Duplicated work, silent costs, no consolidated picture of the real state.
04
No attribution or reliable forecasting
Which lead source converts best? Which campaign generates real revenue? Which SDR contributes most? Without multi-touch attribution and captured activity, the answers are guesses, and budgets get assigned based on that.
Impact
Poorly allocated budgets, GTM decisions based on feeling, not data.
We pay for Apollo, Lemlist, ZoomInfo and Sales Nav. And we still lack data. When the CMO asks which campaign works best, I don't know what to say.
, What we hear in discovery calls
The cost
What it costs to leave it unfixed.
2-3×
the real cost of all-in-one GTM platforms versus the advertised price, due to credits and add-ons that accumulate at renewal.
Source · Salesmotion 2026
An uncomfortable conclusion
Badly designed GTM costs much more than any platform. The real cost isn't the tools: it's the expensive sales team doing cheap work, the good leads going cold and the investment decisions made without data.
The solution
A system, not a tool.
The most common mistake when tackling GTM is buying tools, «let's go with Apollo» or «let's try Enginy», without designing the complete engine. The difference between a GTM that scales and one that doesn't is the architecture: clear ICP, signals that get read, consolidated stack, clean bidirectional data, end-to-end orchestration and real revenue reporting.
01
GTM motion defined and documented
End-to-end documented process: ICP, sources, sequences, criteria for moving between stages, shared marketing-sales definitions. What works, written down. What doesn't, too, so it doesn't get repeated.
02
Operational ICP and signals
Detailed ICP by size, sector, stack, geography, timing signals. A system that detects those signals automatically: funding rounds, hiring, stack changes, web visits. Prioritization by buying moment.
03
Consolidated stack (not fragmented)
All-in-one GTM platform (Apollo or Enginy) covering database, enrichment, sequences and CRM-lite, plus the main CRM. From 5+ tools to 2. Fewer integrations, fewer invoices, centralized data.
04
Clean and bidirectional data
Multi-source enrichment waterfall (30+ providers on Enginy, proprietary database on Apollo). Email validation before sending. Bidirectional sync GTM platform ↔ CRM. No duplicates, no contradictory data.
05
End-to-end pipeline orchestration
Coordinated multi-channel sequences (email + LinkedIn), AI agent for autonomous conversations, clear handoff to AEs. The lead that enters the top of the funnel reaches close without getting lost in handoffs.
06
Real revenue reporting
Multi-touch attribution from campaign to closed deal. Dashboard by source, by SDR, by channel. Reliable forecasting based on real activity. GTM decisions based on revenue, not on lead volume.
The tools
2 platforms, one technical decision.
«The goal isn't «more leads». It's «more qualified revenue with less effort». The tool is a decision derived from the GTM motion design, not the other way around.»
Enginy
European AI-native GTM platform. Waterfall enrichment across 30+ sources (80% contact discovery vs 40-50% single-source). Autonomous AI Agent. Native CRM sync (HubSpot, Salesforce, Pipedrive, Attio). ISO 27001 and GDPR by design.
Ideal for
European companies focused on EU markets, regulated industries (finance, health, public sector) or those needing ISO 27001. Mid-market teams that value data quality (waterfall) over price and prefer guided onboarding with direct support.
Apollo
«First agentic GTM platform». Massive database (275M+ contacts, 30M companies). Real free tier to start. Native sequences, dialer, AI agents and deal management.
Ideal for
Companies with global focus or US expansion. When you want to validate the tool before committing budget (real free tier). Small teams or startups looking to consolidate 4-5 tools into one.
03—Our methodology
The process.
A sequence proven in 200+ companies. Each phase has deliverables before moving to the next, and is developed in collaboration with your internal team.
01→
Diagnostic
We audit existing processes and the current stack. We map bottlenecks and optimization opportunities to ensure the success of the following phases.
02→
Planning
We define target architecture, rollout plan, roles, and metrics before getting into the weeds.
03→
Build
We execute in short iterations with your team. We create, adapt, and integrate with your existing tools.
04→
Rollout
We start with a test and expand after validation. We train your team so adoption feels natural.
05✓
Follow-through
We measure and listen to feedback throughout so the result truly becomes yours.
Results
What changes when it works.
A well-designed GTM engine shows up in three dimensions: SDRs reclaim time and prospect accounts in buying moment, the CMO/VP Sales see real attribution and reliable forecasting, and leadership makes investment decisions on revenue, not on lead volume.
2-3×
Monthly lead generation
Verified Enginy customer: «It has helped us double or triple monthly lead generation». The consolidated engine allows covering more accounts with more precision.
80%
Discovery rate with waterfall enrichment
Versus the 40-50% of single-source platforms. More valid contacts means more real conversations, and less time wasted on bounces.
+50%
Pipeline value in 3-6 months
Typical result of well-designed implementations. Average ROI in 3 months, implementation in 2. Multi-touch attribution that connects campaign to closed deal.
−40%
Consolidated stack cost
By replacing 4-5 tools (database + outreach + enrichment + dialer) with an all-in-one platform. The monthly bill drops and integration improves.
We finally know which lead source really converts. And my SDRs chase accounts in buying moment, not cold lists.
, VP of Sales, B2B SaaS scale-up
Let's talk.
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