Clay: turn richer data into smarter GTM
Why choose CRMT Digital for Clay?
More data only creates value when your teams can use it. We align Clay with your commercial goals, people, processes and wider technology stack, helping you move beyond isolated experiments to connected, repeatable GTM workflows.
Access dedicated Clay expertise
We turn fragmented account and contact data into practical workflows for research, qualification, scoring and activation, so your teams can spend less time on manual tasks and more time acting on the right opportunities and prioritising accounts.
Enterprise integration and governance
Tailored Clay solutions
Our Clay services
Clay brings together more than 200 data enrichment tools and AI agents; we help you apply those capabilities to the data, decisions and workflows that support your growth goals.
From go-to-market strategy and implementation to integration and managed services, we help you build, optimise and run Clay as part of your marketing operations, including:
- Sharper targeting: define and operationalise ideal customer profiles, target markets and territory models using richer account signals.
- Better prioritisation: score accounts and contacts against the factors most closely linked to conversion.
- Healthier CRM data: enrich, validate and refresh records to give revenue teams a stronger foundation for decisions.
- Net-new opportunity discovery: identify accounts that fit your target profile but are missing from existing systems.
- Multi-channel orchestration: automate research, enrichment, scoring, routing and activation across your GTM stack.
Ready to build a smarter GTM engine?
Turn Clay’s capabilities into an operational advantage. Whether you want to improve CRM data quality, uncover new target accounts or automate a complete go-to-market play, our GTM engineers can help you define the opportunity and put it into practice. Tell us what you want to achieve or share your current GTM challenges using the form below.
GTM strategy and account prioritisation
Translate commercial goals into a clear data and targeting strategy. We help you define data-driven ideal customer profiles, propensity models, structured target markets and territory-specific scoring frameworks.
Use Clay to find net-new accounts, enrich your understanding of each organisation and prioritise the opportunities that best fit your business.
Data enrichment and AI research
Clay implementation and orchestration
Clay managed services and optimisation
Key Business Problems Clay Solves
How can we resolve issues with incomplete or outdated customer data?
Sales teams often work from contacts and accounts with missing email addresses, job titles, company information or outdated contact records. This reduces data quality and makes it harder to identify and reach the right prospects.
Clay enriches contact and company records using multiple data providers through a waterfall enrichment process. By checking selected vendors in sequence, teams can improve data coverage while optimising credit usage and reducing unnecessary enrichment costs.
How can we reduce the time we spend on prospect research?
Sales teams spend hours manually researching company websites, LinkedIn profiles, and business databases to identify suitable prospects, understand their organisations, and find relevant decision-makers.
Clay automates prospect research by bringing together company, contact, and other relevant data in structured workflows. AI-powered research can summarise key findings, helping sales teams identify qualified prospects faster and spend more time selling rather than conducting manual desk research.
How can we increase engagement from our outreach programmes?
Prospects receive generic sales emails that fail to reflect their roles, company priorities, business challenges or recent activities. This can make outreach less relevant and reduce the likelihood of meaningful engagement.
Clay uses prospect research and company insights to support personalised sales outreach at scale. Human-in-the-loop approval workflows can be implemented so sales representatives review messages before sending them. Feedback can also be incorporated into future messaging workflows to improve relevance and consistency.
How can we connect fragmented sales and marketing tools?
Sales and marketing teams rely on disconnected data providers, spreadsheets, CRMs and engagement platforms. This creates data silos, duplicated work, inconsistent records and no single reliable source of truth.
Clay connects data providers and automates workflows across prospecting, data enrichment, CRM systems and sales and marketing platforms. This helps teams consolidate prospect information, reduce manual data handling and maintain more consistent data across their go-to-market operations.
How can we identify prospects at the right time?
Sales teams can miss valuable opportunities because they lack visibility into important buying signals, such as company hiring activity, funding announcements, business expansion, or technology adoption.
Clay combines company and contact data with available buying signals to help teams identify relevant accounts, prioritise outreach, and find the right decision-makers and buyer personas. This enables more timely, targeted prospecting based on company fit and potential buying intent.
Case Studies
Frequently Asked Questions
We combine Clay’s data enrichment, AI research and workflow automation capabilities with enterprise strategy, marketing operations and integration expertise. We help you align the platform with your commercial goals and existing systems, building connected GTM processes rather than isolated workflows.
Clay can enrich account and contact records, research prospects, identify relevant signals and automate scoring, routing and repeatable GTM plays. We help you apply those capabilities to your ideal customer profiles, target markets and territories so your teams can make better-informed targeting and engagement decisions.
Yes. Clay can connect with systems including Salesforce, HubSpot and Snowflake. We design and implement the integration around your data models and operating processes, helping enrichment, scoring and workflow outputs reach the systems your revenue teams already use.