Building commercial systems behind predictable revenue
We engineer and automate the commercial infrastructure behind CRM, pipeline design, analytics, and forecasting models connecting marketing, sales, and finance into one operating system
+ CRM ARCHITECTURE
+ Commercial automation
End-to-End Optimization of the Commercial Pipeline
Where revenue leaks between systems
Revenue leaks in the gaps. Between marketing and sales, where handover is manual. Between CRM and finance, where records never reconcile. Between forecast and outcome, where the pipeline data was never structured to support a prediction. Each gap stays small enough to tolerate, and together they distort every commercial decision made from the numbers.
We engineer marketing, sales, and finance into one connected operating system: pipeline architecture, qualification logic, attribution, and reporting built around how the business sells. The numbers reconcile across all three departments, and the forecast is derived from the data underneath it.
Revenue Operation Services
CRM Integration & Maximization
CRM architected around the actual sales cycle: data model, pipeline logic, and automation designed for how revenue is generated, including scorring models. Custom 4R methodology.
Funnel & Demand System Design
The buying journey structured as infrastructure, with the marketing systems that move demand through it and the qualification logic that gates each stage.
Sales Forecasting Systems
Stage-weighted forecasting built on pipeline data structured to support it, replacing estimates adjusted upward at quarter end.
Lead Intake & Qualification Automation
Automated capture, scoring, and routing of inbound demand with immediate response. Fewer opportunities lost to reaction time or inconsistent qualification.
Revenue Reporting & Attribution
A traceable line from activity to closed revenue across channels, so commercial budget follows evidence rather than the last thing that appeared to work.
Retention & Expansion Automation
Onboarding workflows, health scoring, churn signals, and expansion triggers that make retention a managed system rather than a reported outcome.
The commercial system, layer by layer
CRM Integration & Maximization
CRM architected around the actual sales cycle: data model, pipeline logic, and automation designed for how revenue is generated, including scorring models. Custom 4R methodology.
discussFunnel & Demand System Design
The buying journey structured as infrastructure, with the marketing systems that move demand through it and the qualification logic that gates each stage.
discussSales Forecasting Systems
Stage-weighted forecasting built on pipeline data structured to support it, replacing estimates adjusted upward at quarter end.
discussLead Intake & Qualification Automation
Automated capture, scoring, and routing of inbound demand with immediate response. Fewer opportunities lost to reaction time or inconsistent qualification.
discussRevenue Reporting & Attribution
A traceable line from activity to closed revenue across channels, so commercial budget follows evidence rather than the last thing that appeared to work.
discussRetention & Expansion Automation
Onboarding workflows, health scoring, churn signals, and expansion triggers that make retention a managed system rather than a reported outcome.
discuss
Profit Architecture & Analytics
Commercial performance decomposes into a finite set of drivers. Revenue breaks down into reach and conversion on the acquisition side, and price, frequency, and retention on the value side. Total cost breaks down into fixed and variable, where SG&A carries the acquisition and retention costs.
Mapping a business against that structure shows where revenue is generated, where margin is lost, and which lever moves the result fastest. The output is a prioritized roadmap, and every system built afterwards follows the sequence it establishes.
We implement CRM systems around the 4R funnel methodology - four lead states, each with its own qualification logic, scoring methodology, and conversion mechanics.
The full CRM implementation includes: data model, pipeline architecture, integrated marketing strategy, automation rules, and the reporting layer leadership operates on.
REACH
Marketing qualified leads. Incoming enquiries collected, scored, and qualified to establish pipeline value before sales time is spent on them. BANT, MEDDPICC scoring.
REACT
Sales qualified leads. Qualified interest converted into active deals through structured meeting, proposal, and close mechanics. Schiffman scoring, SPIN , ABCD.
REFRESH
Re-engaging MQLs that missed BANT and SQLs lost during negotiation. The pipeline most organizations write off entirely. Progress policy, consumption slot analysis, account development plans.
REENGAGE
Existing relationships managed through the funnel interface. Nurture and trigger sequences for contacts not ready to buy at first contact. Triggered sequences, events and webinars.
How a revenue operations engagement runs
Commercial Diagnostic
Commercial performance mapped across acquisition, conversion, retention, and margin. Where revenue is generated and where it leaks is established before any system is designed.
Commercial Architecture
Defining storage structure, processing model, and platform choice against volume, query patterns, and budget. Each decision is documented with its trade-offs and its cost implication.
System Build & Integration
CRM, automation, forecasting, and reporting built to the architecture, connected to marketing and finance systems so records reconcile across all three.
Adoption & Operating Cadence
The sales team operating inside the system, with reporting rhythm and documented standards. A CRM nobody updates produces worse data than none.
Measurement & Iteration
Forecast accuracy compared against outcome, conversion tracked by stage, and the model adjusted against what the data shows rather than what was assumed at design.
Forecasts That Hold
Deal probability derived from stage, size, and historical conversion. The forecast becomes a calculation leadership can plan against.
Pipeline Visible by Stage
Where deals accumulate, stall, and drop becomes measurable across the full funnel. Conversion problems are located at a specific stage.
Faster Response to Demand
Inbound captured, scored, and routed automatically. Fewer qualified opportunities lost before the first conversation.
Attribution That Survives Scrutiny
Channel and campaign performance traced to closed revenue rather than to lead counts. Commercial budget follows profit.
Recoverable Pipeline Worked
Stalled leads and lost deals stay in a managed sequence. The cheapest pipeline available is the one already generated once.
Retention Managed Before Churn
Account health, usage signals, and expansion triggers surface early enough to act on, rather than appearing in the renewal report.
What changes when revenue runs on systems
Revenue problems get described as effort problems. Most are structural: demand routed without qualification, stages defined by feel, and reporting assembled by hand from records that disagree.
The discipline of designing and engineering your commercial infrastructure - data, systems, processes, and analytics - so marketing, sales, and retention operate with shared visibility and accountability.
No. RevOps is infrastructure work - data-driven strategy, CRM architecture, attribution systems, forecasting models. Not sales coaching or strategy advice.
Yes - but we architect first. Implementation without design produces the same problems in a new system.
Having a CRM and having a functioning revenue infrastructure are different things. Most companies use 20% of what their stack is capable of.
Pipeline velocity, forecast accuracy, lead-to-close conversion, attribution clarity, and revenue retention - defined at engagement kickoff.
Yes. We work alongside your teams - designing and building the systems they operate within.
Initial audit: 2-3 weeks. Core infrastructure build: 2-4 months. Ongoing optimization: retainer basis.
An ongoing advisory and execution model - we act as your RevOps function without the overhead of a full-time hire.
Let's establish whether Kynera is the right fit for your organization
