Home/Revenue Systems

Systems we build

Start with one revenue bottleneck. Connect the system as value becomes visible.

Each system solves a defined commercial problem end to end. They share the same foundation, so a second system connects to the first instead of replacing it.

Signal-to-Sequence Engine

Continuously identify suitable accounts, monitor relevant changes, find the buying committee and activate the right outbound play based on fit and timing.

Typical flow

TAM→Enrichment→Fit score→Signals→Buyer verification→Research→Activation→CRM feedback

Intelligent Inbound Response

Enrich every form submission, calculate fit and urgency, route it to the correct owner and enforce response SLAs without adding unnecessary form fields.

Typical flow

Form or product event→Identity resolution→Enrichment→Qualification→Routing→Alert→Follow-up

CRM Data Foundation

Detect duplicates, missing fields, stale contacts and conflicting records so teams and automations operate from more reliable data.

Typical flow

CRM scan→Standardisation→Duplicate detection→Enrichment→Approval→Update→Exceptions

Pipeline Reactivation

Find closed-lost, stalled or previously engaged accounts with a credible new reason to restart the conversation.

Typical flow

CRM history→Eligibility→New signal→Reprioritisation→Context→Owner→Measurement

Renewal and Expansion Intelligence

Combine renewal dates, usage patterns, support context and account changes to surface risk and growth opportunities before the commercial moment is missed.

Typical flow

Customer data→Risk rules→Account score→CSM alert→Action plan→Escalation→Outcome

Browse automations, delivery estimates and running costs →

01 / Unique data

The strongest targeting criteria are rarely available as a standard database filter.

Employee count, industry and funding are accessible to every competitor. We help create data points specific to your product, customers and sales motion.

Whether the company’s business model matches your strongest customer segment
Whether relevant hiring is concentrated in a function your product supports
Whether its website reveals a workflow, compliance requirement or growth initiative
Whether it uses a compatible, competing or complementary technology
Whether past opportunities mention a recurring pain point
Whether product usage indicates activation, risk or expansion potential
Whether several weak signals combine into a meaningful timing event

Generic signal

Company raised funding

More useful signal

Company raised funding + is hiring its first RevOps leader

Defensible signal model

Funding + first RevOps hire + HubSpot + US expansion + previous engagement with your integration content

The objective is not to collect the most data. It is to identify the smallest set of data points that improves a real revenue decision.

02 / AI with control

Use AI where interpretation is needed. Use rules where consistency matters.

AI can classify websites, extract information, summarise account context and draft research-based messages. It should not quietly become the source of truth for critical revenue data.

Source evidence is retained for important derived fields
Confidence thresholds determine whether the system proceeds or requests review
Deterministic rules handle ownership, suppression and critical CRM updates
Human approval is included when context, brand risk or account value warrants it
Outputs, failures and operating costs are monitored after launch

The goal is not maximum automation. It is the right balance of speed, reliability and human judgment.

03 / Works with your stack

Built around the tools you already own.

We select tools based on data coverage, workflow requirements, reliability and total running cost. Variable-use accounts remain in your company’s name.

CRM and customer systems

HubSpotSalesforceZohoPipedriveIntercomSpreadsheets

Data and enrichment

ClayApolloLinkedIn Sales NavigatorBuiltWithVerification providersFirst-party data

Automation and integration

n8nMakeZapierAPIsWebhooksServerless functions

Activation

SmartleadInstantlyApolloEmailLinkedInSlackAd audiences

Measurement

CRM reportingGA4PostHogLooker StudioOperating dashboards

04 / Measurement

Measure the decisions and actions the system can genuinely influence.

We establish a baseline before deployment and agree on the measures relevant to the workflow.

System health

Required-field and enrichment coverage
Verification and match rates
Duplicate and exception volume
Workflow success and failure rates
Data and API cost per activated record

Team execution

Time from signal to owner action
Manual research or administration hours reduced
Routing-SLA compliance
Accounts and contacts activated
Experiment learning velocity

Commercial movement

Positive and qualified conversations
Meetings accepted and held
Opportunities created or reactivated
Pipeline influenced where attribution is credible
Renewal, risk or expansion actions

We do not treat open rate, records processed or messages sent as business outcomes on their own.

05 / Is GTM Flows a fit?

Best for teams with a valuable revenue process that has outgrown manual execution.

Good fit

Where this works

✓You operate a sales-led B2B motion with a defined product and customer problem
✓Your average customer value can justify targeted research and automation
✓You already have CRM, campaign, product or customer data worth connecting
✓Revenue teams spend meaningful time researching, cleaning, routing or updating records
✓You want targeting based on more than static database filters
✓You will define ownership, response rules and measurable acceptance criteria

Check first

Worth resolving first

—Product-market fit or the ICP is still changing every week
—The offer relies on high-volume generic outreach
—Nobody owns CRM quality or post-launch workflow decisions
—The team expects automation to compensate for weak positioning or an unproven offer
—The required data cannot be collected lawfully or reliably
—Success is defined only as guaranteed revenue or meetings

06 / Start with the bottleneck

Where does valuable revenue data currently stop becoming action?

Show us the workflow, tools and current bottleneck. We’ll identify whether the right first step is better data, smarter prioritisation or workflow automation.

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