Case Study:
Using Propensity Modelling, UKGlobal Broking Group achieved a 300% increase in lead conversion by focusing exclusively on high-value prospects.
Lead quality has drastically improved, with potential prospects reaching the sales team now consistently being the right decision-makers.
Overview
UKGlobal Broking Group achieved a 300% increase in lead conversion by using ZINT’s Propensity Modelling to refine their prospecting strategy. Allowing them to zero in on high-value prospects, reduce unnecessary costs, and improve overall sales productivity—transforming their lead generation approach and delivering significant revenue growth.
Lead Conversion
Industry
Insurance
Size
95+
Company
UKGlobal Broking Group is a well-established insurance brokerage specialising in commercial insurance, healthcare, group risk, and private clients’ insurance. Dedicated to delivering tailored insurance solutions to a diverse range of clients.
How We Delivered Results
Challenge
With every business in the UK as a potential client, UKGlobal needed a way to narrow down their target market to focus on high-value prospects. Identifying which companies were most likely to engage and generate greater profitability was critical to optimising their sales strategy. However, using their old “random approach” made it hard to prioritise leads, leading to wasted time and low engagement rates.
Solution
Using Propensity Modelling, they analysed the characteristics of their most profitable clients to find similar high-value prospects. This allowed their sales team to connect with leads that fit their ideal customer profile, resulting in more productive conversations right from the start.
Outcome
By revolutionising their lead generation process with a more precise targeting strategy, they significantly improved the quality of prospects reaching their sales team. Previously converting just 1 in 10 prospects, UKGlobal now converts 1 in 3, making their sales efforts much more efficient and impactful.
Testimonial
Historically we were lucky to book 1 in 10 on initial engagement but with the Zint data, we are up to 1 in 3
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