Diagnostic Sprint
The most common starting point. A structured audit across all five signal areas, ending with a prioritised action plan and commercial value attached to each opportunity.
Services
Five service areas. One revenue engine.
Every service area maps to a signal in the Revenue Signal Diagnostic. Every engagement is scoped around your specific commercial situation – not a pre-packaged methodology.
The right engagement for your situation.
Project Engagement
Scoped work with defined milestones and success metrics. One or two service areas. We stay until outcomes are measurable.
Embedded Sprint
Hands-on, in-team delivery. We build and run alongside your people – not just advise and step back.
Advisory Retainer
On-demand strategic advisory for CMOs and RevOps leaders navigating AI transformation, board reporting, or PE cycles.
PE Portfolio Acceleration
A structured diagnostic, AI readiness assessment, and GTM improvement roadmap – timed to value creation milestones.
Evidence
What we have actually done. The questions worth asking any partner.
The right questions to ask a revenue transformation partner are not about certifications or case study logos. They are about evidence of commercial outcomes.
Have we improved pipeline accuracy and forecast reliability?
Yes – by redesigning ICP definitions, funnel stage logic, and attribution models so revenue leaders can forecast with confidence.
Have we increased conversion rates at specific funnel stages?
Yes – by identifying where buying groups stall, redesigning handoff processes, and deploying AI signals to prioritise the right accounts at the right moment.
Have we redesigned funnel stages and buying group frameworks?
Yes – this is foundational to every RevOps engagement. Generic MQL-to-SQL models are replaced with buying group-based stage progression.
Have we cleaned CRM data and rebuilt attribution?
Yes – data quality is the most common blocker we find. We fix it before recommending any AI investment.
Have we built AI-powered programmes that delivered measurable pipeline?
Yes – intent data for account activation, enrichment for ICP accuracy at scale, Apollo for outbound precision, and answer-engine optimisation for AI search visibility. We select the tools against your stack, not against a vendor list.
Have we reduced the time between intelligence and execution?
Yes – by connecting buyer research directly into campaign briefing, so campaigns launch from real insight rather than assumptions.
Can we prove marketing ROI?
Yes – by building attribution frameworks that connect marketing activity to pipeline stages and closed revenue, not just to campaign metrics.
The revenue intelligence cycle
Not a sequence. A system.
The five service areas are a continuously improving system – each informing and activating the others. You enter at the point that matches your most urgent commercial need.
The system compounds: sharper buyer intelligence improves campaign precision; campaign execution surfaces new data that sharpens targeting; AI pilots perform better as data quality improves; stronger retention and expansion metrics improve the unit economics of acquisition.
01
Audit & Diagnosis
02
Buyer Intelligence
03
Technology Optimisation
04
AI Pilots
05
Campaign Execution
Running simultaneously, not sequentially. Across both sides of the revenue system.
Glossary
The words behind the work.
Fifty terms from the five service areas above, defined. Open a group, or read them all on the glossary page.
- Account-Based Orchestration
- The coordinated deployment of targeted marketing, sales, and customer success touchpoints across multi-stakeholder enterprise accounts.
- Annual Contract Value (ACV)
- The average revenue generated from a customer contract over a 12-month period, excluding one-time fees.
- Carnival Funnel / Hourglass Funnel
- A modern GTM model that expands traditional lead funnels to prioritize post-sale retention, expansion, and advocacy.
- Customer Journey Mapping
- The visual documentation of every touchpoint a customer experiences from initial brand discovery through lifelong advocacy.
- Expansion Revenue
- New revenue generated from existing customers through upselling, cross-selling, and account tier upgrades.
- GTM Motion
- The foundational strategy and go-to-market engine (e.g., enterprise sales-led, product-led, or hybrid) used to capture market share.
- Net Retention Rate (NRR)
- A core SaaS and recurring-revenue metric showing the percentage of recurring revenue retained from existing customers over a period, including expansions and churn.
- Revenue Architecture
- The structural design of data, processes, metrics, and technology that underpins a company's entire revenue engine.
- Rule of 40
- A financial benchmark stating that a healthy growth-stage company's combined growth rate and profit margin should exceed 40%.
- Territory Planning
- The strategic division of geographic or vertical markets among sales reps to optimize coverage, quota attainment, and market penetration.
- AI Readiness Assessment
- A systematic audit of an organization's data maturity, tech stack, and workforce skills prior to deploying enterprise AI.
- AI Governance
- The framework of policies, compliance checks, and ethical guidelines governing the safe use of artificial intelligence within an enterprise.
- Agentic Workflow
- An automated system where multiple AI agents collaborate, delegate tasks, and solve complex multi-step problems autonomously.
- Custom GPT / Fine-Tuning
- The process of adapting a foundational LLM using proprietary company data to specialize its outputs for unique brand or operational needs.
- Hallucination Rate
- The frequency with which an AI model generates factually incorrect or fabricated information presented as truth.
- Proof of Concept (PoC) / Pilot Program
- A limited-scope implementation designed to test the feasibility and ROI of an AI solution before full deployment.
- Prompt Engineering
- The craft of structuring and refining inputs to guide LLMs toward accurate, contextually relevant, and actionable outputs.
- Semantic Search
- Search technology that uses AI vector embeddings to understand the contextual intent behind a user's query rather than keyword matching.
- Shadow AI
- The unauthorized use of consumer-grade AI tools by employees within an organization without IT or security clearance.
- Token Economics
- The cost framework governing LLM API usage, measured in tokens (sub-word text units) consumed per input and output.
- API (Application Programming Interface)
- The software intermediary that allows disparate marketing and sales applications to securely communicate and exchange data.
- Composable Customer Data Platform (Composable CDP)
- A modern data architecture that treats your data warehouse (like Snowflake or BigQuery) as the primary CDP layer instead of closed software.
- Data Enrichment
- The process of enhancing existing internal customer records by appending third-party firmographic, technographic, or intent data.
- Event-Driven Architecture
- A software design pattern where decoupled applications communicate asynchronously by triggering and listening for real-time events.
- Headless CMS
- A content management system backend that decouples content storage from front-end presentation layers (e.g., Webflow API to mobile apps).
- Identity Graph
- A database mapping various digital identifiers (cookies, emails, devices) back to a single human being or corporate account.
- Reverse ETL
- The process of extracting data from a central data warehouse and syncing it back out into operational tools like HubSpot, Salesforce, or ad platforms.
- Sandbox Environment
- A testing environment isolated from production systems where developers and RevOps teams can safely test code, workflows, and integrations.
- Tech Stack Rationalization
- The strategic audit and pruning of redundant, underutilized, or overlapping software tools to reduce overhead and streamline operations.
- Webhook
- An automated, real-time HTTP message sent from one application to another whenever a specific trigger event occurs.
- Buying Committee
- The group of multiple stakeholders within a B2B organization who collectively evaluate, influence, and approve purchasing decisions.
- Dark Funnel Activity
- Unmeasurable buyer behavior and research happening behind the scenes in communities, podcasts, and private channels before a form is filled.
- Firmographic Data
- Statistical characteristics of business organizations used for B2B segmentation (e.g., industry, employee headcount, annual revenue).
- Intent Data (First- and Third-Party)
- Behavioral signals indicating a company or individual is actively researching a solution (e.g., G2 reviews, content downloads, keyword spikes).
- Jobs-to-be-Done (JTBD)
- A framework focusing on the core functional, emotional, and social progress a customer is trying to achieve when buying a product.
- Negative Persona
- A detailed profile of the exact type of customer you do not want to target, saving sales teams from wasted pipeline effort.
- Psychographic Segmentation
- Categorizing audiences based on psychological traits, values, attitudes, interests, and lifestyle choices.
- Technographic Data
- Insights detailing the specific hardware, software technologies, and cloud infrastructure currently deployed by a target company.
- Voice of Customer (VoC) Analytics
- The systematic aggregation of qualitative customer feedback from support tickets, calls, and surveys to shape GTM messaging.
- Zero-Party Preference Center
- An interactive portal where buyers explicitly tell a brand their exact needs, content preferences, and purchasing timelines.
- Cross-Channel Nurture
- An automated sequence of personalized communications that transitions prospects smoothly across email, ads, web, and social touchpoints.
- Dynamic Content Personalization
- Web or email content that instantly adapts its imagery, text, or offers based on the viewer's industry, behavior, or lifecycle stage.
- Engagement Program (Marketo/HubSpot)
- An automated stream of marketing content designed to continuously nurture leads based on cadences rather than static date triggers.
- Lifecycle Marketing
- The holistic strategy of engaging customers with tailored messaging at every distinct stage of their relationship with the brand.
- Omnichannel Retargeting
- Serving synchronized, context-aware paid media ads across LinkedIn, Google, and programmatic networks based on recent user actions.
- Progressive Profiling
- A form strategy that asks users for new, uncollected data points across multiple form fills rather than demanding everything at once.
- Sales Cadence Engineering
- The methodical design of multi-touch outbound sequences combining phone, email, and social touchpoints for reps.
- Trigger-Based Marketing
- Campaigns launched instantly in response to a specific real-time user action, such as visiting a pricing page or abandoning a cart.
- Universal Event Tracking (UET)
- The underlying script implementation required to capture conversion actions across ad networks for accurate attribution.
- Waterfalling (Lead Routing)
- An automated waterfall logic that checks multiple data enrichment or routing vendors sequentially until a valid match or match score is found.