Virgin Active Gets 82% Increase in Club Walk-Ins across the UK

Key Insights:

Business Challenge:

Increase customer engagement with the Virgin Active brand.

Results at Glance:

reduction in cost per walk-in

0 %

uplift in
walk-ins

0 %

increase in
foot traffic

0 %

Solution:

Data-Driven Audience Insights: Leveraging Azira’s Allspark platform to create precise audience profiles using multiple datasets, including behavioral insights like frequent visits to cinemas and theaters.
Dynamic and Proximity-Based Ad Targeting: Deploying real-time mobile ads targeted at users near Virgin Active clubs, refined with optimizations from the first campaign phase to increase engagement and effectiveness.

Objective

Develop a strategy that increases consumer engagement with Virgin Active as a brand, whilst also influencing an upturn in club walk-ins.

Strategy and Execution

To meet this objective, Amnet/Amplifi worked closely with Azira data platform providing actionable intelligence on people and places. Azira used its SaaS product Allspark to build an effective two-phase campaign strategy to identify, and reach Virgin Active’s target audience.

In the first phase of the campaign, Virgin Active’s target audience was created in Allspark using multiple data sets. These users were then targeted with a dynamic mobile ad when they fell within a close proximity to a Virgin Active Health Club.

While working with the available data, Azira found that the majority of the targeted audience frequented cinemas and theaters, allowing Allspark to further fine-tune the target profiles for the second phase of Virgin’s nationwide campaign.

Results

To measure the impact of the targeting strategy, Azira performed a number of analysis. One of which included looking at the number of the target audience who walked into one of the clubs during and after the campaign, and comparing it to the number of walk-ins before the launch of the campaign. The difference was astounding, revealing a 70% uplift in walk-ins of the audience in the first phase, which further increased to 82% in the second phase of the campaign. This uplift from 70% to 82% can be attributed to the audience optimizations carried out throughout the course of the two bursts.

The foot traffic into Virgin Active Health clubs continued to increase even after the campaigns had ended, with an increase of 28% post phase one, and a 32% increase post phase two.

70% uplift in walk-ins of the audience in the ﬁrst phase, which increased to 82% in the second phase

Azira also conducted a detailed attribution study to determine how many people saw the mobile ad and then walked into a nearby club, and compared it to the control group which are people from the same target audience who walked in without any exposure to the ad campaign. In Allspark terminology, this study is called Attribution Lift Index (ALI) and is a very good indicator of the effectiveness of a campaign at driving footfall to a given location. During phase one of the campaign the ALI reached a staggering 111%. During the second phase of the campaign ALI reached 52%, which is a significant number considering that members were excluded from being targeted, therefore all walk-ins would have been generated as the result of new people noticing the ad, and acting upon it.

Most importantly, the footfall attribution results demonstrated that the average cost per walk-in was reduced by 62%

This is a strong indicator that curating the right audience, targeting them at the right time, and in real-time whilst carrying out optimizations based on historical learnings has a tremendous impact on the effectiveness of your ad campaign.

This case study demonstrates that Virgin Active has been at the forefront of adoption of new technologies.

The brand utilized a new approach based on fresh data to reach out to the right audience, boost walk-ins, and acquire new customers by acting on real-time insights.