Physical venue analytics benchmark calculator
Compare your venue footfall, return rates, and recency curves against verified industry benchmarks.
Based on 45,000 global venues. 75% of shoppers are first-time visitors; 54% of returning shoppers come back within 10 days.
Used to model revenue gain from recovered footfall.
~75,000 visitors never return without automated remarketing.
75% first-time vs 25% loyal repeat visitors.
54% of repeat visitors return within 10 days of their initial visit.
Average on-site presence tracked via WiFi probe request duration.
Customer visit recency distribution
Time elapsed between repeat visits across Retail & Shopping Centres
Primary engaged demographic
Identified via verified captive portal login telemetry
Captive portal authentication captures exact age bracket, verified email, and social profile data. This enables automated segmentation to deliver targeted promotional messaging during or immediately after on-site visits.
Do you know how many people visit your venue on a daily, weekly or monthly basis? Do you know how many of those people are new or repeat visitors? Do you know how frequently your repeat visitors return? Do you know your customer demographics?
If we were talking about your website, chances are you'd be able to answer these questions quite quickly. You'd then use the information to improve the on-site user experience with the aim of reducing bounce, increasing time on page and ultimately driving more conversions.
We track everything online because it's easy - and with free tools like Google Analytics, there's no excuse.
However, when it comes to understanding your physical spaces, things can get a little more complicated.
Point of sale systems are great for understanding transactions in-store but they can't give you a holistic overview of your customers and how they behave.
So, to help businesses answer these questions, we've analysed 110 million unique individuals, across 10 billion visits to 45,000 Purple WiFi enabled venues around the world. We then broke this data down by industry.
I think it is important to mention here that even if you do know the answers to these questions - do you know how your performance compares to that of your peers or the industry average? It's one thing to have a metric that you can measure, what is more difficult to understand is whether that performance is any good, or how well you are serving your audience.
Anyway, here's what we found.
For the purpose of this example, I'm going to focus on retail. If retail isn't relevant for you, you can download a free copy of your industry specific report here.
Return rates
Based on an estimated footfall of 100,000 visitors per month, on average, we found that 75% of your visitors will not return to your venue.
However, when you capture customer data via WiFi analytics, and follow up with tailored marketing campaigns, you can increase your customer return rates quite considerably.
Frequency of visits
As with many brands, customer retention and loyalty is very important. The chart below shows how many customers visit your venue once, twice, right through to 20+ visits.
We have identified that across the retail industry, 27% of people will visit your venue 2-5 times. Being able to identify trends and patterns in this data across your different stores can help you develop strategies to achieve increased retention rates.
Recency
The graph below shows the average length of time between customer visits. We found that across the retail industry, 54% of consumers visit your venue again in less than 10 days. This suggests that loyalty is high amongst the % of customers that do return to your venue.
This data can be used to create a sense of urgency - increasing recency.
We see it all the time, emails that encourage us to make a purchase quickly before a sale ends. More often than not, it's effective.
Being able to capture customer data through WiFi analytics and then market offers or discounts to consumers is an effective strategy that positively impacts recency.
New vs. repeat
On average, in retail, 75% of your customers are new vs. 25% which are repeat. Being able to identify your new vs. repeat visits helps you focus efforts on either driving new business or improving your customer retention depending on your commercial goals.
Most popular demographic
Across the retail industry, we found that the most popular demographic is females aged 18-34.
We appreciate that based on the type of store, demographics are likely to be different across retail, however, the principle remains the same.
Understanding who your most popular demographic is allows you to personalise customer communications which will increase conversion rates and drive spend. You can also use this data to identify less popular demographics you wish to target and tailor marketing efforts to impact this.
To download a copy of our retail report, click here.
Our performance reports provide just a snapshot of the data you can capture and analyse with WiFi analytics.
With a full enterprise licence, you can run up to 6,000 different reports, giving you real, in-depth insights into your physical spaces that can be used to impact business decisions.
Interested? Click here to try Purple for free, or get a demo.
