+2.4x
average improvement in pipeline conversion rate within the first quarter
Revenue-ready data architecture
A CRM that works like a revenue instrument.
Most CRMs are contact lists with a pipeline bolted on. Marcutive designs the data model, scoring logic, and automation layer that turns your CRM into the single source of truth for pipeline, conversion, and revenue attribution.
Is this right for you
The signs your CRM is working against you.
CRM problems rarely announce themselves. They show up as slow sales cycles, disagreements between marketing and sales, and a persistent feeling that you cannot trust your own data.
01
Your CRM holds thousands of contacts but nobody can tell you which ones are close to buying, which need nurturing, and which are dead weight with no path to revenue.
02
Your sales team treats the CRM as a reporting obligation rather than a selling tool, because it was never structured to reflect how they actually work or how buyers actually move through a decision.
03
You have bought automation tools or added integrations but nothing connects properly, and your revenue data still lives in spreadsheets outside the system.
The gap this closes
Three problems that compound into one.
CRM failure is rarely one thing. It is a stack of structural problems that each make the others worse, until the system is more of a liability than an asset.
DATA GAP
Volume without signal
Thousands of contacts, no scoring, no segmentation, no meaningful way to prioritise sales effort based on actual buying behaviour rather than gut feel and recency.
AUTOMATION GAP
Workflows that do not work
Automations were set up once, never tested against real behaviour, and now run in the background doing nothing useful while the team works around them with manual processes.
VISIBILITY GAP
No single pipeline truth
Marketing and sales disagree on what pipeline looks like because they are looking at different data. No shared view of conversion rate, velocity, or revenue value by stage.
Scope of engagement
What you get when we build the system.
Every CRM architecture engagement covers the full stack, from data model design to team training. Nothing is scoped in isolation because every layer depends on the ones below it.
01
CRM audit and data architecture design
A forensic review of your existing setup, data quality, and integration landscape, followed by a new architecture designed around how your buyers actually move.
02
Contact scoring and segmentation model
A scoring framework built on behavioural and firmographic signals that tells sales who to prioritise today, not who arrived most recently in the inbox.
03
Sales workflow and pipeline stage mapping
Pipeline stages redesigned to reflect how buyers actually make decisions, with clear entry and exit criteria at each stage so forecasting is based on evidence, not optimism.
04
Automation build and integration layer
Every automation is built to a defined purpose and tested end-to-end against real scenarios. Integrations with your marketing tools, website, and data sources are included in scope.
05
Reporting dashboards for sales and marketing leadership
Dashboards that connect marketing activity to pipeline contribution, giving each team the view they need without requiring them to interpret the same data differently.
06
Handover documentation and team training
Full documentation of the architecture, every automation, and every integration. Live training with the sales and marketing teams so the system gets used rather than avoided.
The engagement model
From audit to operational system.
Every engagement follows the same four phases. The timeline scales with the complexity of what we walk into, not with the size of the deliverable list.
01. AUDIT
Map what exists
We review the CRM structure, data quality, integrations, and how the team actually uses the system. We document what is salvageable and what needs to be rebuilt.
02. DESIGN
Architecture before build
We design the data model, scoring logic, pipeline stages, and automation architecture before touching the platform. A bad CRM setup takes longer to undo than to build correctly.
03. BUILD
Connect the system
We build the scoring model, automations, and reporting layer, integrating with every relevant tool in your stack. Everything is tested end-to-end before handover.
04. COMPOUND
Tune on live data
The system produces data from day one. We use it to refine scoring logic, identify pipeline bottlenecks, and surface opportunities that were invisible in the old setup.
41%
reduction in time the sales team spends on manual CRM administration
6 wks
average time from CRM audit to a fully operational system
100%
of clients report clean, reliable pipeline visibility within 90 days of handover
"Within six weeks we had pipeline visibility we had never had before. The board stopped asking us to explain the numbers."
Head of Revenue, Wakefield & Co
Common questions
Before you book a call.
We work across HubSpot, Salesforce, Pipedrive, and several others. The platform is secondary to the architecture. A well-designed data model works in any CRM. A poorly designed one fails in all of them. We will tell you honestly if your current platform is the right one for where you are going.
Not necessarily. In most cases we redesign the architecture within your existing platform rather than migrating. If a migration is genuinely the right decision based on what we find in the audit, we will tell you clearly and scope it honestly, including the risks.
Data quality is addressed in the audit phase before we design or build anything. We map what is salvageable, what needs enrichment from external sources, and what should be archived. Building a clean architecture on dirty data produces dirty results, so this is never skipped.
We design the integration layer as part of the architecture, not as an afterthought. Every tool in your stack that should feed data into the CRM is mapped, and every output the CRM should push to other systems is built into the automation layer. Integrations are tested end-to-end, not just in isolation.
Most engagements run six to ten weeks from audit to a fully operational system. Complexity scales with the size of your existing data, the number of integrations required, and how much of the architecture needs to be rebuilt versus refined. We scope this clearly before any work begins.
Start the conversation
Let's build a CRM your team actually uses.
Book a strategy call and we will review your current setup, tell you honestly what needs to change, and scope what it would take to make your CRM a genuine revenue asset.