WE

Web Analysis Solutions

Football statistics publisher monetising audience reach through direct advertising sales.

Available information varies by company and source.

Profile record updated:

Company facts

Official name
Web Analysis Solutions Limited
Entity type
COMPANY
Founded
2012
Headquarters
Lytchett House 13 Freeland Park, Wareham Road, Poole, Dorset, BH16 6FA
Company size
<10
Market role
Publisher & Media Owner
Official website
webanalysissolutions.com

What Web Analysis Solutions does

The company operates owned digital media properties in a specialist sports data niche, using free access to attract large consumer audiences and monetise them through advertising. Value is created by producing or structuring football statistics and prediction content that ranks strongly in search, concentrates repeat user demand, and converts that audience into sellable media inventory for brands, agencies and performance advertisers.

Category differentiation

Despite its name, this is not a general web analytics SaaS provider. It is a niche football statistics publisher and media owner that monetises owned audience traffic through advertising sales.

Strategic context

AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.

Web Analysis Solutions Limited is a UK digital publishing company that owns and operates football statistics and prediction websites including WinDrawWin and PredictZ. Its products are free-to-use consumer destinations focused on match data, betting-related statistics and model-driven predictions, attracting large volumes of search-led traffic from football fans, bettors and analysts. The company makes money primarily by monetising this audience through advertising sold on its owned sites. In addition to standard ad-supported publishing, it packages inventory across both properties for advertisers and agencies via direct sales arrangements, using pricing models such as cost-per-click, fixed placements, contextual links and performance-based deals.

Business model & monetisation

Revenue is driven by ad-supported publishing and direct media sales. The company monetises free traffic through on-site display advertising, contextual links and affiliate-style performance arrangements, and also sells inventory directly to advertisers using negotiated CPC, fixed-fee placements and lead or sale-based commercial terms. Premium pricing is supported by traffic scale, search visibility and specialist football audience relevance.

On-site advertising across owned football sites
Ad-supported publisher inventory
Direct advertiser placements
Fixed-fee media sales
CPC campaigns
Performance-priced media sales
Contextual linking
Placement-based advertising
Lead or sale-based partnerships
Affiliate / performance revenue

Products & capabilities

No products with linked sources are available in this view.

Products & market categories

Recent recorded signals

Dates refer to the source publication. Older entries are historical context, not evidence of a new event.

No sufficiently sourced and dated signals are available for this view.

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Questions about Web Analysis Solutions

What is Web Analysis Solutions?

Web Analysis Solutions is a UK company that operates football statistics and prediction websites, primarily WinDrawWin and PredictZ, and sells advertising across those properties.

Who uses Web Analysis Solutions?

Its consumer users are football fans, bettors and analysts, while its paying customers are advertisers, agencies and media buyers targeting football audiences.

How does Web Analysis Solutions make money?

It makes money mainly from advertising on its free websites through direct media sales, CPC deals, fixed placements, contextual links and performance-based arrangements.

Sources & coverage

This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.

20 publicly documented primary sources and citations linked across the market graph.

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