Automated market & competitor intelligence for B2B teams

Insight, signals and structured data to support strategic decisions and GTM research

I’m a B2B market intelligence architect.

I help RevOps, Strategy, and Growth teams replace slow, manual research with automated data infrastructure.

My automated intelligence systems monitor your competitors, prospects or market activity; delivering insight, signals and structured data to support your strategic decisions or customer acquisition pipelines.

Replace slow, manual research processes with reliable, automated, scalable data pipelines integrated into your business.

My custom intelligence solutions are tailored to your GTM strategy and typically delivered via four core frameworks…

Automated Prospect Discovery

Custom algorithms that systematically identify high-fit accounts using deep technographic and behavioral signals, then pipe them directly to your CRM.

Market Landscape Mapping

A complete map of your Total Addressable Market (TAM), segmented by signals like tech stack, hiring velocity, revenue, ad strategy, etc…

Real-Time Signal Monitoring

Automated 'listening engines' monitor target accounts to detect specific buy-signals e.g. funding, hiring, tech installs - instantly alerting your sales team.

Data Enrichment & Hygiene

A continuous 'hygiene loop' plugged into your CRM, automatically researching new leads, fixing bad data and instantly adding strategic context.

Recent market intelligence engineering case studies

  • Requirement:
    The sales team of this cloud computing consultancy needed to target businesses in the health sector that run Google Cloud Platform. GCP is backend infrastructure, so is invisible to standard lead-gen tools, so they weren’t able to to simply buy or ‘scrape’ lists of prospects.

    Solution:

    • A custom ‘technographic discovery pipeline’

    • It crawls all UK health sector businesses looking for GCP footprints

    • Industry / tech criteria can be changed to new audiences any time.

    • Tracks down decision-makers at matching companies (by job title)

    • Enriches contacts with email & LinkedIn data

    • Auto-inserts the prospects straight into the client’s CRM (Pipedrive).

    • Result: A continual stream of ‘ideal fit’ prospects in the CRM ready for the sales team’s ABM campaigns

  • Requirement: The partnerships team at one of the best-known ecommerce email marketing platforms wanted to identify ecommerce retailers using their competitor’s technology - but rather than reach out to the retailers, wanted to establish contact with the agencies behind those sites in order to build partner relationships at scale.

    Solution:

    • A custom potential partner data pipeline

    • It finds websites by specific CMSs (Shopify & Adobe Commerce)

    • Cross-references by specific email marketing technologies.

    • My system then finds the agencies the retailer works with

    • Then finds agency account director / owner names and contact data

    • Sends the results directly into my client’s CRM (Salesforce).

    • Result: Many hours of tedious, manual research for their partner marketing team is now fully automated.

  • Requirement:
    The UK division of a global hosting provider wanted a ‘competitor pricing and packaging intelligence’ system, which would give them a real-time, live view of hundreds of their key competitors’ pricing packages and feature offerings. As well as a breakdown of data by competitor, they also needed an aggregated real-time view of the ‘market averages’ for a range of specific features to help benchmark their own offering against their entire competitor market landscape.

    Solution:

    • A daily crawl of every one of their competitors’ websites

    • A scan of all features and pricing pages across the market

    • A custom process to ‘normalise’ a huge amount of un-structured data

    • Converts messy, raw text data into standardised data points

    • Automatically flags updates or outliers in the data

    • Result: A competitive matrix dashboard giving the product team a real-time view of the entire market landscape - both on a per-competitor basis and a global aggregated data view.

  • Requirement:
    A recruitment agency specialising in fintech engineering roles wanted to automatically monitor a list of over 200 of their ideal target clients for relevant new job postings - and receive an instant alert whenever their target accounts showed signals of hiring relevant roles.

    Solution:

    • 200+ ideal target clients setup in a signal monitoring system

    • System monitors their job posting activity, primarily via their ATS postings

    • Whenever a new vacancy is posted, the recruitment agency is alerted

    • Automatic contact-finding is triggered to source hiring manager’s email

    • Instant email and Slack alert to the agency, with job and contact details

    • Result: The client can proactively contact the right person at the target company with speculative CVs the instant a matching role is published, with no manual monitoring required

  • WorkingWith.io is a SaaS tool that gives users insight into the clients their competitors are working with.

    Users can scan their own list of competitors Or do a broad scan of their whole market to find their competitors and uncover who those competitors' clients are.

    The app then enriches the data with the full contact details of those clients as well as other insight like software platforms they use, ad technology and campaigns, industry sector data, etc.

    Solution: The best prospects are often those which already have budget assigned to similar services with a competitor, but may be drifting apart from or outgrowing them.

    www.workingwith.io lets users 'self serve' their competitor research to surface the best prospects that are already working with their competitors - data which is ideal for ABM or outreach marketing activity

My background

Starting as a programmer in the early dotcom era, I founded, scaled and exited my own digital agency.

With 10-years’ experience building that business, I understand the pressures of business growth, meeting payroll and building predictable sales pipelines.

Post-exit, I’ve worked with 50+ B2B tech firms supporting their growth and GTM activity - transitioning, with the rise in AI, into developing automated data infrastructure for B2B teams.

Now I act as a ‘commercial engineer’, combining 17+ years of founder-level business acumen with deep technical engineering, to build GTM intelligence and market research systems that actually drive revenue.

Read more about my full background here »

My skills and services are at the
intersection of code and commercial strategy

Typical engagement, process and budgets

01. Strategic Audit & Logic Mapping

Defining the commercial outcome,
analysing your current data and goals to create a technical blueprint of your data requirements.

02. Signal Discovery & Validation

A deep scan on a sample of your market to verify data is accessible and signals are accurate - to create a validated sample dataset for your review

03. Data Pipeline Engineering

I build your automated infrastructure, creating an "always-on" flow of intelligence, to create a fully functioning data pipeline.

04. CRM Integration & Deployment

Piping the intelligence directly into your own workflow (e.g. your CRM or a custom alert system) to ensure the data arrives where your team already works.

Projects are typically built using n8n, PostgreSQL via Supabase and AI models/APIs.

Typical investment for a custom intelligence solution project ranges from £2,500 to £7,500 with monthly monitoring and support typically in the region of £1,000 p/m

If you want your GTM, RevOps or research processes engineered for leverage…

Get in touch to describe your requirements, or book a free discovery call.