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Market Segmentation Research for Home Improvement

Home improvement is not one market. A DIY enthusiast repainting a bedroom shares almost nothing with a professional decorator buying 40 litres a week at the trade counter. A homeowner ordering LVT flooring online sits in a different universe from the fitter who installs it. Kitchen and bathroom purchases run through a decision triangle of homeowner, retailer, and installer. Without a real segmentation, your range, pricing, and channel strategy aim at an average customer who does not exist. We segment home improvement audiences using cluster analysis on real behaviour: project activity, the DIY vs DIFM boundary, brand vs private label orientation, channel use, and price-quality trade-offs. Methods include CAWI for consumers, CATI for painters, fitters, and handymen, MaxDiff for unbiased attribute ranking, and persona development that turns clusters into profiles your category and trade marketing teams can actually use. Where the brief needs it, we segment consumers and trade professionals in the same study and link the two models. In short: we deliver segments that survive in your category plan and your retail negotiations - not just statistically clean clusters.

30+

years exclusive focus on home improvement, construction, and installation markets

7

subsectors covered: from Paint and Flooring to Kitchen, Bathroom, and Outdoor & Gardening

DIY consumers and trade professionals segmented in the same study where the brief calls for it

Four

syndicated home improvement monitors provide population structure for segment sizing

What We Measure

1

Project Behaviour & Category Engagement (Consumers)

Project frequency and type over the past 12-24 months: redecorating, flooring, bathroom or kitchen refits, garden projects. The DIY vs DIFM boundary: which jobs the homeowner does, which they outsource, and to whom (painter, handyman, specialist fitter). Project triggers: moving home, repair and damage, fashion and inspiration, energy saving.

2

Brand & Price Orientation

Brand-led vs private label buyers by category - paint and power tools behave very differently here. Price-quality trade-offs and willingness to pay for premium or sustainable variants. Inspiration and information sources: in-store, social media, online reviews, recommendations from trade professionals.

3

Channel Behaviour

DIY superstore vs specialist retailer vs garden centre vs pure online, including private label exposure per channel. Webrooming and showrooming patterns, click and collect use. For trade audiences: trade counter, builders merchant, wholesaler, and online trade accounts.

4

Trade Professional Profile (B2B Side)

Trade type and job mix: painters and decorators, handymen, kitchen and bathroom fitters, flooring fitters. Purchase volume bands and buying frequency by category. Brand loyalty by category and willingness to recommend brands to clients - the professional as a channel in their own right. Influence in the DIFM purchase: who pays, who chooses the brand, where substitution happens.

5

The Decision Triangle (Kitchen, Bathroom, Flooring)

Relative influence of homeowner, retailer or showroom, interior designer, and installer on brand and product choice. Where the choice gets locked in and where the installer can still substitute.

6

Demographics & Firmographics

Consumer side: life stage, tenure (owner vs renter), home type and age, income band. Trade side: company size from one-man bands to multi-crew firms, regional coverage.

Subsectors Covered

Note: This is a portion of the subsectors and product categories we cover within home improvement research.

How Home Improvement Market Segmentation Works - Example Project

Scenario: A paint manufacturer wants to defend share against private label in the UK, FR, and PL and decide where its premium and mid-tier ranges should sit by channel. The team suspects “DIY consumer” hides several very different buyer types, and that professional decorators split by loyalty rather than by region. Design: 300 CAWI interviews per country with consumers screened for a painting or decorating project in the past 12 months, plus 100 CATI interviews per country with professional painters. The consumer questionnaire covers project behaviour, brand vs private label choice, channel use, price-quality trade-offs, and sustainability willingness to pay, with a MaxDiff exercise on choice criteria. K-means cluster analysis with factor reduction, stability tested through split-half. The trade interviews cover volume bands, brand loyalty, channel use, and recommendation behaviour. Two segmentations, linked through the DIFM interface. Output: Five consumer segments – confident project DIYers, reluctant maintainers, and premium delegators among them – and three painter segments defined by loyalty and channel. Range and channel recommendations per segment, plus a view of which consumer segments each painter segment actually serves. Note: This is an example of a typical project design, not a fixed process.

Methodology

CAWI for Consumers - With Strict Quality Controls

Consumer panels are viable in home improvement, but quality varies widely. We apply minimum completion-time thresholds, attention and consistency checks, category engagement screening, verification of actual purchase behaviour, and filtering to remove low-quality and AI-assisted respondents. Respondents qualify on real project activity in the past 12-24 months, not on stated category interest.

CATI for Trade Professionals

Painters, fitters, and handymen do not sit in online panels in usable numbers. We recruit them by phone from in-house trade frames built over 30 years, supplemented by trade registries. Trade interviews of 20-30 minutes capture the depth a segmentation needs.

Statistical Segmentation Methods

K-means and two-step cluster analysis form the workhorse. Factor analysis on attitude batteries reduces collinearity before clustering. Split-half stability testing confirms segments hold up when the sample is partitioned and the model re-run. Silhouette analysis informs the choice between four-, five-, six- and seven-segment solutions.

MaxDiff (Best-Worst Scaling)

Consumers rate price, quality, durability, and brand all as important, which tells you nothing. MaxDiff forces ranked trade-offs across 12-20 attributes before clustering and feeds far cleaner inputs into the model.

Linking B2C and B2B Models

DIFM categories need both sides of the market. We run consumer and trade tracks with a shared core questionnaire and link segments through job and category type, or build one combined model when the brief calls for it.

Multi-Country Harmonised Execution

One harmonised questionnaire, native-language fieldwork, country-specific quotas reflecting the actual structure of each home improvement market, one central analysis.

Target Audiences

Note: Audience mix is tailored to each project.

DIY Consumers & Homeowners [CAWI]

Screened for category activity in the past 12-24 months. The core base for most consumer segmentations.

Professional Painters & Decorators [CATI]

Brand loyalty, volume, channel, and recommendation behaviour. Quotas by company size.

Handymen & General Contractors [CATI]

Multi-category buyers who install flooring, fit bathrooms, and run full room refurbishments.

Kitchen & Bathroom Fitters [CATI]

Specialist trades with strong wholesaler ties and heavy brand influence on DIFM purchases.

Interior Designers [IDI / video]

Specification influence rather than direct purchase in most categories.

DIY & Specialist Retailers [IDI / CATI]

Ranging decisions that determine which brands consumers encounter at all.

Our Advantage

A generalist segmentation agency runs k-means on whatever variables fit. We start from what actually discriminates in home improvement: the DIY vs DIFM boundary, brand vs private label orientation, channel mix, trade loyalty, and the decision triangle in kitchen and bathroom. Thirty years in these categories means the questionnaire is right on the first draft.

Most agencies can reach consumers online or trades by phone. We field both in one design: 300 CAWI consumers plus 100 CATI painters or fitters per country, across the UK, FR, DE, and PL simultaneously, with native-language fieldwork, and we link the two models. Four syndicated home improvement monitors give us population structure to size segments against, not just sample proportions.

We deliver segments that survive in your category plan and your retail negotiations. Each segment has a size, a clear buying signal, a reachable channel, and a one-page persona. Segments that look statistically clean but cannot be operationalised are flagged as such.

Project Examples

QUANT - CAWI

A global wallpaper study across eight markets measured consumer purchase behaviour and category dynamics. The output profiled buyers by style orientation and channel, feeding range decisions and market prioritisation.

BE, FR, DE, IT, KR, SE, TR, UK

QUANT - CATI

A painting tools study sized market volumes by category and channel across three markets. The data split professional and DIY demand, producing distinct user profiles per channel for range and trade marketing decisions.

UK, DE, FR

QUAL - IDIs

A flooring study explored decision-making, selection criteria, and willingness to pay a sustainability premium. It produced distinct decision-maker profiles that shaped positioning and sustainability messaging.

DE, FR

QUANT - CATI

An adhesives and sealants brand health study covered installers, handymen, and pool builders. The findings separated the trade base into loyalty-based groups, guiding trade marketing and channel programs.

NL, FR

Deliverables

  • Validated segment model with statistical fit metrics (silhouette, split-half stability)
  • Segment size estimates by share of category buyers and value share where data permits
  • One-page persona sheet per segment with project behaviour, buying triggers, channel use, and brand consideration set
  • Cross-tab database of every survey variable by segment (SPSS or Excel)
  • Workshop-ready PowerPoint deck with range, pricing, and channel implications per segment
  • Targeting recommendation by segment, retail or trade channel, and country
  • Linked B2C and B2B segment view showing which consumer segments each trade segment serves
  • Country-by-country segment comparison with notes on where segments behave differently

Consumer fieldwork with strict quality controls,

including filtering of low-quality and AI-assisted respondents

Trade professionals recruited directly by phone from in-house frames

no trade panels

Four syndicated home improvement monitors

provide population structure for segment sizing

30+ years of segmentation work spanning DIY consumers and trade audiences in the same categories

Multi-country track record across all major European home improvement markets

  1. How large does the sample need to be for a usable home improvement segmentation?

For a five-to-seven segment consumer model we recommend 300-400 CAWI interviews per country, screened on real project activity. For trade segmentations, 75-100 CATI interviews per country per trade type. Smaller samples produce segments that wobble in split-half testing.

  1. How do you validate that segments are real and actionable, not statistical artefacts?

Split-half stability testing, silhouette analysis on cluster fit, and a face validity check against the category and channel patterns we know from our monitors. If a segment cannot be described in plain language to your category team, it does not ship.

  1. Can you segment DIY consumers and trade professionals in the same study?

Yes. We run a CAWI track for consumers and a CATI track for trades with a shared core questionnaire, then link the segmentations through the DIFM interface, or build one combined model where the brief calls for it.

  1. How do you keep consumer panel quality high?

Minimum completion-time thresholds, attention and consistency checks, category engagement screening, verification of actual purchase behaviour, and filtering that removes low-quality and AI-assisted respondents. Qualification rests on real projects completed, not stated interest.

  1. Can you run a segmentation in the UK, FR, DE, and PL at the same time?

Yes. All four countries simultaneously with native-language fieldwork, harmonised quotas, and one central analysis.

  1. Where in the strategy cycle should we run a segmentation?

Before a range review, before retailer negotiations, before a private label response, before a brand repositioning, or when your current segments stop predicting behaviour. Not as a one-off poster on the wall.

  1. How long does a four-country dual-audience segmentation typically take?

Eight to twelve weeks end to end. Consumer CAWI fieldwork runs fast, the trade CATI track usually sets the pace. Analysis and reporting take around three weeks, with overlap.

Related Reports

Home Improvement

European Home Improvement Monitor

Continuous tracking of consumer and professional purchase behaviour across home improvement categories. The sizing and validation backbone for consumer segmentations.

Home Improvement

European Painter Insight Monitor

Continuous tracking among professional painters on brand preference and purchasing behaviour. Anchors decorator segments in paint and decorative sundries.

Home Improvement

Kitchen Monitor

Continuous data on consumer purchasing, product trends, and distribution dynamics in kitchens. Population context for segmentations built around the kitchen decision triangle.

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PHONE

+31 10 2066900

ADDRESS

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3062 MA Rotterdam