Image of the Hughes Insurance Head Office with a blue overlay and the Hughes Insurance logo on top
Image of the Hughes Insurance Head Office with a blue overlay and the Hughes Insurance logo on top

Quotes Increased 70% with Insurance Brand

We worked with Hughes Insurance on their digital marketing and data strategy.

Client:

Hughes Insurance

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The Problem

A well-known Insurance brand in the N. Ireland market was looking to improve return-on-investment from it’s marketing campaigns. The advertising strategy had changed little in previous years and our brief was to enhance performance with data & analytics.

Our initial step was to challenge the status quo, as for example:

  • Customer segmentation was built on long-standing assumptions from old research and lacked digital insight;

  • Target audiences were therefore built on broad demographics and not predicted lifetime value of customers;

  • Digital campaign KPIs were focused on a ‘false economy’ of quotes, not revenue or profit.

We took a fresh approach to customer intelligence and measurement to address these shortcomings.

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The Solution

  1. The first step was to ensure the fullest “data picture” available, including:

    • Customer journeys from initial touchpoint to sale;

    • Post-purchase customer lifetime behaviour;

    • Behavioural data from digital advertising.

    Different technologies were deployed across the website and other touchpoints to deliver this. Critically, customer data was unified to create a full understanding of the customer.


  2. The second step was to analyse the data to provide insight, primarily aiming to understand:

    • What customer characteristics most impacted revenue, profit and lifetime value;

    • What campaign choices delivered the most value, e.g. channel, targeting, etc.


  3. The third step was to activate the insight to achieve our aims, by:

    • Altering the targeting strategy by focusing on the highest-value customers;

    • Changing the customer acquisition strategy by re-allocating budget between channels;

    • Improving automation, e.g. with value-based bidding on PPC.

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The Impact

This project had an immediate impact, with the following results (compared year-on-year):

  • Sales volume improved 36%

  • Cost-per-acquisition fell 36%

  • ROAS (return on ad spend) improved by 75%