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How a UK SaaS Firm Lifted Demo Bookings with SaaS Lead Generation
Client Overview
A London-based SaaS company specialising in workflow automation tools for UK SMEs wanted to improve the performance of its outbound sales efforts. Although the product was strong, the team struggled to reach the right decision makers at scale, resulting in inconsistent demo bookings and slow pipeline growth.
This case study is relevant for:
SaaS founders, sales leaders, and B2B marketing teams looking to scale demos, improve targeting, and strengthen SaaS lead generation using accurate, real-time data.
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Challenge
The company faced two major bottlenecks impacting growth:
Weak lead quality
- Their sales team frequently targeted companies that did not match their ideal customer profile. This diluted outreach efforts and led to low conversion rates.
Time-intensive research
- Sales representatives spent significant time searching for accurate company and contact information. Many records were outdated or incomplete, making outreach inefficient.
These issues meant that the team booked fewer demos, wasted hours on unqualified leads, and struggled to create a predictable outbound engine.
Solution
The company implemented DataGardener’s business intelligence platform to modernise and strengthen its saas lead generation strategy.
Target by ICP with precision
Using advanced filtering such as company size, industry, financial health, and operational data – the team only contacted prospects who fit their ideal customer profile.
Using advanced filtering such as company size, industry, financial health, and operational data – the team only contacted prospects who fit their ideal customer profile.
Access verified decision-maker contacts
They gained instant access to accurate email addresses and direct phone numbers, reducing gatekeeper issues and improving reach.
They gained instant access to accurate email addresses and direct phone numbers, reducing gatekeeper issues and improving reach.
Refresh prospect lists monthly
The sales team received real-time updates, ensuring they were always contacting relevant, active businesses.
The sales team received real-time updates, ensuring they were always contacting relevant, active businesses.
Reduce manual research
Automated prospecting removed hours of manual work, allowing the team to focus on conversations, not data hunting.
Automated prospecting removed hours of manual work, allowing the team to focus on conversations, not data hunting.
Within weeks, their entire outbound process became more structured, predictable, and conversion-focused.
Results
Within just 10 weeks, the SaaS company experienced measurable success:
- 35% increase in demo bookings.
- Higher reply rates from new sectors such as legal, logistics, and financial services.
- Significant reduction in time wasted on unqualified leads.
- More efficient outreach driven by real-time, accurate data.
- Stronger alignment between marketing and sales through consistent ICP-driven targeting.
This transformed their outbound engine into a scalable SaaS lead generation strategy.
Client Feedback
“DataGardener completely elevated our SaaS lead generation efforts. The contact data is reliable, and we finally spend time talking to real prospects, not cold leads. Our demo bookings are up sharply, and it’s helped us scale our pipeline.”
— Sales Leader, UK SaaS Company
Takeaway
By using a supplier intelligence platform, Unilever transformed a manual, slow, and fragmented process into a fast, scalable, and measurable supplier diversity programme.
Key Highlights:
- 100+ diverse suppliers identified.
- 80% faster research and validation.
- Improved accuracy and reporting transparency.
- Stronger alignment with Unilever’s inclusive procurement strategy.
