How many customers visit you every day? One hundred, or maybe one thousand? How many enter to only take a quick glance and leave after five minutes? With Livefloww, it is time to say goodbye to the guesswork.
Discover insights about your customers’ preferences like never before by accurately determining the number of visits in a set time period and calculating key metrics, such as the bounce rate and engagement time.
Forecast customer demand and save on expensive surveys / excessive staff engagement through the power of our proprietary AI model.
Unparalleled opportunities for growing your business
Whether you would like to know the footfall on any given day, week or month – or simply take a look at the amount of people currently looking at that new collection – Livefloww has you covered.
Through the power of Livefloww Tracker, assess how many users are at the venue at any time, with real-time results displayed on our online platform
Create future footfall forecasts based on historical data & receive recommendations from our AI to optimally allocate resources to match demand forecasts
All data is automatically stored and recorded on a database and subsequently converted into a user-friendly interface for data analysis and interpretation
Understand which products are the most popular amongst clients and evaluate the effectiveness of various marketing methodologies to maximise sales and specifically meet consumer demands
By understanding how long customers have spent looking at a specific product at a particular point in time, we can specifically create products to match their preferences
Determine future sales by assessing the average money spent on each day given the number of customer presents and other external factors that may have influenced their decisions
Aiming to create a network of Livefloww users
Real-time Online Analytics Application
We aim to clearly display all of the key information that is important for your business on one dashboard, including the number of new users in a given time period and store locations, with data present both specifically and on aggregate