Cremarc connects marketing, website, CRM, media and sales data to reveal the complete buyer journey. Our B2B data science services create dependable measurement, commercial forecasts and predictive insight that guide smarter investment and future growth.
B2B buyer journeys are mostly self-serve and disparate – rarely appearing inside one platform. A future customer may self-serve through social content, search for the brand, return through paid media, visit several product pages, engage with email, watch a video and speak to sales before an opportunity appears. Each system records one part of that journey and claims its own version of success.
Cremarc connects those fragmented signals across media platforms, websites, analytics, marketing automation, CRM and commercial systems. We establish consistent definitions, reconcile identities and organise the data around people, accounts, buying groups, opportunities and revenue.
Data science then moves measurement beyond describing the past. Commercial models forecast the demand, opportunity and revenue required to achieve growth targets. Journey analysis reveals where buyers progress or disappear. Predictive models identify which audiences, accounts and activities are most likely to create future value.
The result is not another dashboard. It is a dependable commercial intelligence layer that helps marketing and sales understand what is working, anticipate what comes next and make better decisions about investment, audiences and action.
We begin with what the business is trying to achieve; defining the commercial focus, shared measures and data requirements before selecting tools, models or dashboard outputs.
We connect and structure signals across media, web, CRM, automation and sales, creating consistent identities, lifecycle stages and relationships that reveal progression across people, accounts and opportunities.
We use historical performance, market opportunity and commercial assumptions to forecast demand, pipeline and revenue, testing scenarios and showing what must change for the business to reach its goals.
We translate analysis into clear decisions, audiences, triggers and investment actions, then compare actual performance with the model to improve future forecasts and recommendations as new evidence emerges.
We connect data from media, websites, analytics, CRM, automation and commercial platforms around shared people, accounts and opportunities. Consistent identities and lifecycle definitions create a more dependable view of how buyers interact, progress and contribute to revenue across complex journeys.
We design measurement frameworks and dashboards around commercial questions rather than available platform metrics. Clear definitions connect awareness, demand, account progression, qualified opportunities, pipeline and revenue, giving marketing and sales a shared interpretation of performance and the decisions it should inform.
We analyse the contribution of channels, campaigns and interactions without pretending one model can perfectly explain every buying decision. Attribution, experimentation and incrementality testing provide different forms of evidence, helping teams understand what influenced outcomes and where investment creates additional value.
We work backwards from growth targets to model the market coverage, demand, conversion, opportunity and pipeline required. Scenario planning shows how changes in investment, conversion, sales velocity or deal value affect future revenue, creating a more credible basis for commercial decisions.
We use behavioural, firmographic, engagement and commercial data to identify meaningful patterns across buyers and accounts. Predictive models help prioritise audiences, recognise emerging demand, anticipate progression and recommend relevant action while remaining transparent about confidence, assumptions and data limitations.
Data problems appear as conflicting dashboards, broken journeys and forecasts built on instinct. Cremarc connects the underlying signals, creates shared commercial definitions and builds models that explain buyer progression, forecast future outcomes and guide confident marketing and sales decisions.
Media, analytics, automation and CRM platforms each assign themselves credit, creating multiple versions of performance. Cremarc reconciles the underlying data and builds a measurement framework that distinguishes platform reporting from dependable commercial evidence.
Website behaviour, campaign engagement and sales activity sit in separate platforms with no shared identity or lifecycle. Cremarc connects people, accounts, buying roles and opportunities to reveal how meaningful progression develops across the journey.
A qualified lead, engaged account or influenced opportunity means something different to each team. Cremarc creates shared lifecycle stages, measures and governance so performance can be understood, challenged and acted upon consistently.
Revenue targets are agreed without modelling the market, conversion rates, pipeline coverage or time required to achieve them. Cremarc builds commercial forecasts that expose the assumptions and show what marketing and sales must generate.
Reports present accurate charts without explaining why performance changed or what should happen next. Cremarc organises insight around commercial questions, decisions and recommended actions rather than treating data visualisation as the finished product.
Traffic, impressions, clicks and lead volumes are rising while opportunity quality and revenue remain unchanged. Cremarc connects marketing activity with account progression, qualified pipeline and commercial outcomes to reveal whether growth is genuine.
Duplicate records, missing fields, inconsistent tracking and disconnected lifecycle stages make analysis unreliable. Cremarc identifies the critical data gaps, improves collection and governance, and makes confidence levels visible before decisions are made.
Historical reporting shows where the business has been but cannot explain the route to its target. Cremarc models future demand, conversion, pipeline and revenue, allowing leaders to test investment and performance scenarios before committing.
Most B2B tech brands are leaving growth on the table without realising it. In 30 minutes, we’ll talk through your gaps, opportunities, and the fastest path to becoming unignorable.
A marketing data science agency connects, analyses and models marketing and commercial data to answer questions about performance, contribution, investment and future outcomes. Its value lies in improving decisions, not simply creating reports.
