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CityFibre: Penetration Modelling to Optimise Full Fibre Marketing Spend

This work forms part of our work helping businesses improve decision-making with data and AI. Visit our sector pages to find out more how this can be applied to your business.

CityFibre

Benefits of Our Transformation

Beyond developed a penetration model to identify high-opportunity locations and customer profiles, enabling CityFibre to focus marketing spend where it will convert.

About CityFibre

CityFibre is a UK digital infrastructure platform operating a wholesale full fibre model with an ambition to reach millions of homes and businesses nationwide. To support growth, CityFibre needed a clearer understanding of what drives penetration performance across different cities and towns.

Results That

Matter

8.7m (build plan)

UPRNs scored

212k customers

Connected base

37 attributes

Features used

City → Postal Sector

Granularity shift

The Opportunity

CityFibre’s penetration performance varied significantly by location. The business needed to understand which factors drive conversion, which locations represent the biggest opportunity, and how to prioritise marketing communications to improve conversion rates and marketing ROI.

Solutions Delivered

Beyond built and validated a penetration modelling approach combining CityFibre data with third-party sources to identify the strongest determinants of fibre conversion. The output was a practical targeting method that moves from city-level assumptions to granular postal-sector opportunity identification and customer-level personalisation.

Defined a structured modelling approach across mobilisation, prototype build, and validation phases to support handover into the business

Built a similarity model to score properties based on closeness to existing CityFibre connected customers, enabling prioritisation of the wider build plan

Identified the most influential conversion drivers using feature importance ranking across 37 attributes (including customer and location factors)

Demonstrated that locational features were dominant for identifying high-opportunity areas, with customer features then used to tailor targeting and personalisation

Shifted opportunity identification to postal sector level to avoid overly broad ‘city-level’ targeting and to pinpoint high-potential clusters

Produced a practical implementation pathway: score UPRNs → cluster by postal sector → overlay customer features → prioritise RFS locations for targeted comms

Recommended next steps including model refresh/productionisation and integration into regular decision forums to drive ongoing marketing optimisation

Results & Impact

CityFibre gained a clear, evidence-led view of which areas and property/customer characteristics are most strongly associated with fibre conversion. The modelling approach enabled a more targeted marketing strategy, supporting improved conversion rates by focusing spend and communications on the highest-propensity locations and customer profiles.

Lesson Learned

Penetration performance is rarely driven by one factor. The best outcomes come from combining location opportunity identification with customer-level targeting, then operationalising the output into weekly marketing decision-making rather than treating modelling as a one-off analytics exercise.

“Beyond gave us a clear, practical view of what drives penetration and where to focus next. The model helped us move from broad assumptions to precise, high-opportunity targeting, with a credible method for linking marketing activity to conversion outcomes.”

Commercial Director, CityFibre

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