Scale Net Revenue Retention without Scaling AE Headcount

I deliver the deployment-ready Expansion Engine that identifies and pipes high-intent expansion signals directly into your CRM. Your AEs stop guessing which accounts are ready to upgrade and start closing more enterprise deals with the exact target list they need to close.

The Expansion Engine

4-Week Architectural Sprint

Prerequisites:

Target Profile: Mature GTM teams managing Sales-Led or Hybrid motions. Data Sources: Product Usage Data (e.g., Segment events from data warehouse) + CRM. Requires a minimum of 12 months of historical data across both Product and CRM.
32 500 € (Fixed Project Fee excl. VAT)
All prices exclusive of VAT
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The Problem

To grow revenue, you keep hiring more AEs, but your pipeline efficiency is dropping. Your product and sales data remain disconnected, forcing your AEs to guess who to call while actively missing the high-intent 'Whales' that are ready for an enterprise upgrade right now. Your CRM is completely disconnected from the reality of your accounts' institutional adoption patterns.

The Solution

A 4-week architectural sprint that translates account-level behavior into a deployed Two-Tier Product Qualified Account (PQA) Signal, giving your AEs the exact target list they need to close enterprise deals. This is a one-time CapEx investment that costs less than a single AE's base salary, permanently decoupling your revenue growth from your payroll.

Why This Works

Pipeline Efficiency: A mathematically guaranteed 25% baseline lift in actionable expansion pipeline for your existing AE headcount.
Expose the Truth: Replace guesswork with a visual 'Revenue Expansion Blueprint' mapping the actual expansion behavior and institutional paths your accounts take to upgrade.
Sales Trust (No Black-Box Scores): Your AEs will know exactly why an account is flagged because I separate 'Structural Fit' from actionable 'Behavioral Intent'.
Zero Dashboard Fatigue: High-intent insights are pushed directly into the CRM your team already uses.

Methodology & Timeline

From Historical Patterns to Automated CRM Triggers. I follow a strict, 4-week gated sprint model to ensure speed, eliminate financial risk, and deliver live capabilities, not just slide decks.

1

Week 1: The Revenue Expansion Blueprint (The Diagnostic)

I connect to your warehouse and map the historical 'Team Habits' and institutional paths your accounts take to upgrade. This Blueprint acts as the Algorithmic Safety Valve Checkpoint: I run a predictive backtest against your data. If the backtest cannot prove a baseline pipeline lift of at least 25%, the project stops.
2

Week 2: The Signal (The Logic)

Once the account data is validated, the real engineering begins. I isolate actionable institutional behaviors and run a Causal Validation Sync with your domain experts to engineer the true causal drivers of expansion, stripping out the vanity proxies. Note: Following the successful handover of the Blueprint, the remaining €28,000 balance is invoiced on standard Net-30 terms.
3

Week 3: The Architecture (The Governance)

I translate this causal logic into a deterministic Two-Tier Expansion Index for identifying the product-qualified accounts and validate its performance and interpretability. This ensures your most vital expansion metric is mathematically codified, robust, and universally trusted across your revenue organization.
4

Week 4: The Execution (The Deployment)

I deploy the dbt models directly into an isolated, read-only schema in your data warehouse. I then configure the Reverse ETL sync (via your existing tool or a zero-cost Hightouch deployment) to pipe these high-intent PQA signals directly into Salesforce or HubSpot. We conclude with a Transfer of Ownership session so your RevOps team can own the Engine indefinitely. Your AEs start closing deals immediately.

What You Walk Away With

You own the IP and the architecture. Your revenue and engineering teams walk away with live capabilities, not just files:

Targeted 'Whale' Hunting Capability (Two-Tier Expansion Index): The exact logic needed to identify accounts ready for expansion, displaying 'Structural' vs. 'Behavioral' points directly in your CRM.
The Revenue Expansion Blueprint: A high-status visual map of your accounts' historical journeys and the specific 'Team Habits' that have triggered upgrades in the past.
Live CRM Activation: The signals are piped directly into Salesforce or HubSpot using your existing Reverse ETL tool. If you do not have one, I will deploy a zero-cost, foundational sync pipeline (via Hightouch) as part of the sprint.
The Isolated Schema Deployment: I deploy the dbt models directly into an isolated, read-only schema in your data warehouse. Your core production data remains completely untouched, and your engineers save weeks of work by avoiding IT bottlenecks.

The Algorithmic Safety Valve (The 25% Lift Threshold)

Because I am executing complex data analytics, Week 1 acts as a built-in algorithmic safety valve to protect your investment. To kick off the sprint, you pay a swipeable €4,500 deposit.

At the end of Week 1, I present the Revenue Expansion Blueprint. As part of this, I run a predictive backtest against your historical data. If the backtest reveals that your data cannot mathematically prove a baseline pipeline lift of at least 25%, the project stops. I retain the deposit for the strategic diagnostic and correlation analysis performed, and you are never billed for the rest of the engine. You walk away with the Blueprint, which highlights the mathematical reality of your current expansion behavior.

If the data meets the 25% threshold, I build the Engine. The remaining €28,000 balance is invoiced on standard Net-30 terms immediately following the successful Phase 1 handover. On Week 4, I transfer full ownership of the live architecture directly to your RevOps team so your AEs can start closing deals immediately.

Satisfaction Guaranteed

Clarity, not dependency: My role is to equip your team with live capabilities, not to become a permanent fixture in your Slack. I conclude every engagement with a 'Transfer of Ownership' session. If the strategy, architecture, or logic are not crystal clear for your team to own, I will refine them immediately at no cost.

The Algorithmic Safety Valve (The 25% Lift Guarantee): I don't build €32,500 predictive models on top of guesswork. I operate on a low-friction €4,500 deposit for Phase 1. During Week 1, I run a predictive backtest against your historical data. If my initial diagnostic cannot mathematically prove a baseline pipeline lift of at least 25%, I stop the project. You keep the Revenue Expansion Blueprint detailing my correlation and expansion behavior analysis, and you are never billed for the rest of the engine.

Zero-Friction Procurement: I operate exclusively on transparent, fixed-fee sprints backed by my public Standard Agreements and strict Zero-Trust Data Protocols, designed to clear your Legal and InfoSec teams in days, not weeks.