Broadband and Fibre Uptake Research Services for Internet Service Providers

Unlock faster, more profitable broadband growth with evidence-based research tailored for Internet Service Providers (ISPs). Research Bureau delivers rigorous, actionable insights that accelerate fibre and broadband adoption, reduce churn, and optimize pricing, product bundles, marketing spend, and rollout prioritization across urban, peri-urban and rural markets.

Whether you need a national uptake model, neighbourhood-level demand forecasts, or household-level behavioural segmentation, our Telecommunications and ICT Research practice turns complex data into commercial advantage.

Why invest in dedicated broadband and fibre uptake research?

Broadband rollouts are capital-intensive and time-sensitive. Poor demand forecasting, mispriced packages, or unsuitable products lead to low take-up and high payback periods. Research-focused decisions deliver:

Faster ROI: Focus subsidies and marketing where uptake probability is highest.
Reduced churn: Tailor onboarding and service bundles to customer expectations.
Optimized pricing: Price elasticity and willingness-to-pay insights protect margin while increasing adoption.
Improved network planning: Prioritise fibre-to-the-home (FTTH), fibre-to-the-curb (FTTC), and fixed wireless access (FWA) deployments by demand and revenue potential.
Regulatory readiness: Evidence-based reporting for universal service obligations, subsidies, or funding applications.

If you want a bespoke quote, share project details through the contact form on this page, click the WhatsApp icon, or email us at [email protected].

Who we are — Research Bureau (Telecommunications and ICT Research)

Research Bureau is a specialist research provider focused on Telecommunications and ICT Research. Our team combines senior market researchers, data scientists, network economists, and former telecom operators to deliver research that is both scientifically robust and commercially relevant.

Experience: Decades of combined experience in broadband demand analysis, operator strategy, and regulatory research.
Methodology: Transparent, reproducible methodology with a mix of quantitative and qualitative approaches.
Outputs: Executive recommendations, granular forecasts, spatial uptake maps, predictive models, and interactive dashboards.

What we deliver — Comprehensive research services for ISPs

We offer end-to-end research services tailored to distinct commercial objectives. Typical engagements include one or more of the following:

Market sizing and demand forecasting for FTTH, FWA and hybrid solutions
Willingness-to-pay and price elasticity analysis (Van Westendorp, Gabor-Granger, Conjoint, PSM)
Customer segmentation and persona development for targeted acquisition and retention
Churn modelling and uplift experiments
Product and bundle optimization (speed tiers, data caps, value-add services)
Coverage-to-adoption spatial analytics and heatmaps
Competitive benchmarking and share-of-wallet analysis
Pilot evaluation and adoption acceleration experiments
Channel and distribution optimization (resellers, retail, door-to-door, digital)
Regulatory and subsidy impact studies

Methodologies — rigorous, mixed-methods approach

We combine primary and secondary research with advanced analytics. Every project uses methods selected for the client’s objective, market context, and available data. Typical methods include:

Household and business surveys: Face-to-face, telephone, and online panels for behavioural and willingness-to-pay data.
Conjoint and discrete choice modelling: Simulate consumer choices across bundles and prices to predict take-up.
Price sensitivity analysis: Van Westendorp, Gabor-Granger, Price Sensitivity Meter (PSM), and elasticity estimation.
Segmentation and clustering: K-means, hierarchical clustering, latent class analysis for personas and go-to-market targeting.
Predictive modelling: Logistic regression, gradient boosting (XGBoost/LightGBM), and Bayesian hierarchical models for uptake/churn forecasting.
Spatial analytics & GIS: Correlate coverage, demographics, income, and prior uptake at micro-geographies.
Qualitative research: Focus groups, in-depth interviews, and journey mapping to resolve behavioural drivers.
A/B and multivariate testing: Pilot different offers/channels and measure causal effects on adoption.
Network economics modelling: Break-even and payback analysis, capex/opex scenarios, and subsidy impact.

Research design examples — tailored to your objective

Below are practical examples of research design for typical ISP questions.

Objective: Estimate FTTH take-up for a new suburb
- Method: Mixed-mode household survey + spatial regression + a small behavioural experiment on pricing
- Sample: 600 households across strata (income, dwelling type)
- Deliverables: 5-year uptake curve, sensitivity to price bundles, GIS heatmap for deployment
Objective: Optimize enterprise broadband bundles for SMEs
- Method: Conjoint analysis, in-depth interviews with IT decision-makers, competitive desk research
- Sample: 200 SMEs segmented by industry and revenue
- Deliverables: Product recommendations, target pricing, launch messaging
Objective: Reduce churn among postpaid fibre subscribers
- Method: Predictive churn model + NPS analysis + retention intervention A/B test
- Data: 24 months of customer behaviour and transaction logs
- Deliverables: Churn risk scoring, retention playbook, expected LTV uplift

Data sources we integrate

We integrate multiple data streams for richer models and more accurate forecasts:

Primary research (surveys, interviews, experiments)
Operator CDRs and provisioning/activation logs
Billing and CRM systems for behaviour and churn
Publicly available census and socio-economic data
Geospatial data: satellite imagery, building footprints, municipal maps
Third-party market data and competitor historical figures
Regulatory and universal service records

KPI framework — what we measure and why it matters

We focus on KPIs that link to strategic decisions and financial outcomes:

Take-up rate (initial activation within target market)
Net take-up curve (cumulative uptake over time)
Time-to-payback and payback period (months)
Churn rate and churn drivers
ARPU (Average Revenue Per User) by segment
CLTV/LTV (Customer Lifetime Value)
Conversion rate by channel and campaign
Price elasticity of demand
Share-of-wallet and cross-sell uplift
NPS and CSAT for onboarding and service quality

Comparison: Research methods at a glance

Method	Best for	Typical sample	Strengths	Limitations
Household survey	Market sizing & willingness-to-pay	400–2,000+	Direct stated preference, demographic linkage	Stated vs revealed behaviour gap
Conjoint / DCM	Product and bundle design	200–800	Simulates real trade-offs, predicts choices	Requires careful design and interpretation
Price sensitivity (Van Westendorp)	Pricing range estimation	300–1,000	Quick range estimate	Less precise for complex bundles
Predictive modelling	Churn & uptake forecasts	N/A (data-driven)	High predictive power on big datasets	Needs rich behavioural data
GIS & spatial analytics	Rollout prioritization	N/A (geographies)	Micro-targeting advantage	Dependent on spatial data quality
Qualitative research	Behavioural drivers	20–60	Depth of insight, messaging guidance	Not statistically representative

Sample size and precision — guidelines

Population size	Sample size (approx.)	Margin of error (95% CI)
10,000+	400	±4.9%
50,000+	500	±4.4%
200,000+	800	±3.5%
National	1,500+	±2.5%

We tailor sample sizes to required granularity (e.g., city-level vs neighbourhood-level) and use stratified quotas for representative results.

Example analytical outputs (what you receive)

Executive summary with strategic recommendations and topline numbers
Detailed technical appendix with methodology, weighting, and survey instruments
Five-year uptake scenarios (base, optimistic, conservative)
GIS maps showing prioritised rollout corridors and address-level opportunity scores
Pricing simulations and optimal bundle recommendations
Customer segmentation with persona profiles and acquisition playbooks
Predictive models with uplift estimates and expected financial impact
Interactive dashboards for dynamic scenario testing (Power BI / Tableau / custom web app)
Workshop with stakeholders to translate insights into operational plans

Case study (anonymised)

Client: Mid-size regional ISP expanding into peri-urban towns

Challenge: Low initial FTTH adoption in new rollouts, unclear uptake drivers.

Approach:

Conducted 1,200 stratified household surveys across 6 towns.
Integrated operator provisioning data and local socio-economic indicators.
Ran conjoint experiments on price, speed, installation fee, and contract length.
Built uptake scenarios and a predictive model for neighbourhood-level demand.

Results:

Identified three high-value neighbourhood clusters where targeted marketing increased pilot uptake from 6% to 18%.
Recommended a promotional bundle that improved ARPU by 12% while maintaining profitability.
Reduced projected payback period on targeted nodes by 18 months.

If you’d like to review a detailed case study or references, email [email protected].

From insights to action — how we enable implementation

Research without operational integration is wasted. We help turn insights into executable programmes:

Channel playbooks for door-to-door, digital, and retail acquisition.
Pricing and bundling playbooks tied to finance and ROI.
Customer onboarding improvements to reduce early churn.
Pilot design and measurement plans with control groups.
Change management workshops and training for sales and field teams.
KPI dashboards to track real-time adoption and ROI.

Return on research — expected commercial impacts

High-quality research delivers measurable business outcomes:

Higher initial activation rates through targeted offers.
Lower CPAC (Cost per Activated Customer) by focusing marketing where conversion is highest.
Increased ARPU and longer customer lifetimes via better bundle design.
Shorter network payback periods through optimal rollout sequencing.
Reduced operational waste by aligning supply with demand.

We quantify expected ROI in every proposal so you can evaluate the business case for the research itself.

Pricing and engagement models

We offer flexible engagement models based on scope and urgency:

Fixed-price studies — defined scope, clear deliverables and milestones.
Time-and-materials — flexible scope or iterative research.
Retainer model — ongoing research, monitoring, and dashboard updates.
Sprint engagements — rapid 4–6 week pilots for immediate decisions.

Typical project cost ranges (indicative):

Rapid market scan & pricing guidance: from X (small) — contact for quote.
Full market segmentation and 5-year uptake model: mid-range — contact for quote.
Comprehensive national study with GIS and predictive modelling: enterprise — contact for quote.

Share your project details via the contact form, click the WhatsApp icon, or email [email protected] for a tailored proposal and fixed quote.

Engagement process — from briefing to value capture

We follow a structured, transparent process to deliver value quickly:

Discovery & scoping
- Workshop with stakeholders to define objectives, KPIs, timelines and data access.
Proposal & design
- Detailed research plan, sampling, deliverables, and pricing.
Fieldwork & data collection
- Surveys, interviews, experiments, and data ingestion.
Analysis & modeling
- Statistical and geospatial analysis; model validation.
Reporting & recommendations
- Executive report, technical appendix, dashboards.
Implementation support
- Playbooks, pilots, and monitoring.

Typical timeline (example)

Phase	Duration
Discovery & scoping	1 week
Survey design & testing	1–2 weeks
Fieldwork	2–6 weeks (depends on sample & mode)
Analysis & modelling	2–4 weeks
Reporting & workshop	1 week
Total (typical)	6–12 weeks

Faster delivery is possible with existing data or focused pilots. Tell us your deadline when requesting a quote.

Deliverables checklist

Executive summary & recommendations
Methodology and weighting documentation
Full data tables and anonymized dataset
Uptake scenarios and financial impact analysis
Spatial uptake maps and priority lists
Pricing simulations and recommended packages
Customer segments, personas and acquisition playbooks
Predictive models with code/scripts (where applicable)
Interactive dashboard (optional)
Implementation workshop and Q&A

Common questions (FAQ)

Q: How do you ensure sample representativeness?

We use stratified quotas aligned to census or operator subscriber distributions, weighting adjustments, and dual-frame approaches where necessary.

Q: Can you use our CRM and provisioning data?

Yes. We integrate CRM, billing, and provisioning logs to combine stated preferences with revealed behaviours for accurate models.

Q: How do you measure willingness-to-pay reliably?

We combine multiple approaches (Van Westendorp, Gabor-Granger, conjoint) and validate through experiments and historic commercial outcomes where available.

Q: What geographies can you cover?

Urban, peri-urban and rural markets across national, provincial and neighbourhood levels. We also work with address-level datasets for precise rollouts.

Q: Will you help implement the recommendations?

Yes — we provide playbooks, pilot designs, and implementation support on request.

If your question isn’t listed, email [email protected] or use the contact form to get a direct response.

Risks we mitigate

Overbuilding in low-demand areas
Mispriced offers that cannibalize revenue
Slow adoption due to poor onboarding or product mismatch
Wasted marketing spend in low-conversion channels
Regulatory or subsidy misalignment

We help you de-risk investment decisions by quantifying uncertainty and outlining contingency actions.

Why choose Research Bureau?

Telecommunications focus: We specialise in Telecommunications and ICT Research — not general market research.
Practical outcomes: Emphasis on operational playbooks and measurable financial impact.
Transparent methods: Full documentation, reproducible analysis, and stakeholder workshops.
Senior expertise: Multidisciplinary team with operator, research and analytics experience.
Flexible delivery: Reports, dashboards, models and implementation support.

Reach out with your project context to learn how we can accelerate your rollout and returns.

Next steps — get a tailored quote

To get started, please share:

Project objective (e.g., rollout prioritisation, pricing, churn reduction)
Geographic scope (national, province, city, postcode areas)
Available data (CRM, billing, provisioning, past surveys)
Desired outputs and timelines
Budget constraints (if any)

Submit your brief via the contact form on this page, click the WhatsApp icon to talk to our team, or email [email protected]. We will respond within one business day and propose a clear, no-surprises scope and fixed quote.

Final pitch — convert insights into growth

Broadband and fibre adoption is not just a technical exercise — it’s a market, customer psychology and economics challenge. Research Bureau combines scientific rigour with telecoms commercial experience to produce practical, high-impact recommendations that increase uptake, protect margin, and shorten payback periods.

Share your project details now for a customised proposal. We look forward to partnering with you to expand connectivity and drive profitable growth.

Contact: [email protected] | Use the contact form | Click the WhatsApp icon to begin.