The most powerful in-store analytics platform for Bricks and Mortar.
Enriching over 100,000 shopper experiences every day
Digital retailers have played the game smartly and are on the rise
Why? They have an unfair advantage. Online retailers have all the customer insights they need to increase shopability and drive sales.
But now, you have the opportunity to be one of the first Brick and Mortar retailers to gain this advantage too.
Welcome back to Brick and Mortar!
Physical stores have advantages that can’t be replicated online.
Shoppers can engage with products and retailers can craft a unique store experience
Shoppers receive personal service through sales staff
and sales staff drive
SALES STAFF RELATIONSHIP SERVICE DESIGN
Store lacks strong shopping experience
Shopper only shops for price
Broken relationship with shopper
STORE DESIGN AND ASSORTMENT STORE EXPERIENCE
Monolith’s retail analytics solution brings a deep understanding of shopper behavior resulting in actionable insights to optimize staff, store and assortment. Using this solution, you can understand exactly how to attract the right shoppers, how to engage with them and how to convert them to life-long customers. And the power lies in our ability to combine all insights into one overview, our Actionboard, that enables you to make critical decisions to drive your profitability.
ATTRACT shows you whether you’re attracting the right customer. The more target customers you attract, the more revenue.
ENGAGE helps you understand in-store shopper behavior. The more engaged customers are and the more areas of the store they visit, the more you sell.
IMPACT provides an insightful sales analysis, combing the behavioral metrics of Attract and Engage with your sales data.
Optimize windows by A/B testing and find out which combinations have highest stopping and holding power and dwell time. Discover which window layout has the highest capture rate and gets most people from the street to the store.
Real-time gender and age recognition gives you an understanding of who your shoppers are to optimize campaigns and adjust assortment. Are you attracting your target customer?
Assess past campaigns and optimize future campaigns by determining whether there was an increase in shoppers from the campaign’s target group.
Optimize store lay-out, navigation and routing by understanding how customers move in your store.
For instance, after figuring out men weren’t reaching the male department, one of our clients changed their routing and in-store navigation, leading to a +42% increase in sales.
Increase engagement and sales by improving visual merchandising, fixtures and in-store advertising.
Test different combinations of promotions and merchandise and examine what is most effective. For instance, we’ve seen that promotional tables often don’t get much attention, but when items on the tables are paired with in-store campaigns engagement rises.
Put every product in its optimal location by comparing touch vs. sales. A product that doesn’t get touched, but gets sold a lot, should be repositioned to a more prominent location to maximize sales. Read more.
After detecting low-touch and then changing the visual merchandising of their jeans, one of our clients managed to massively increase touches, which led to a 10% lift in sales.
Correlating behavior to sales leads to powerful insights. Fully understanding shopper behavior and sales will help you optimize staff and store to get to shopability for profitability.
For example, combine insights on dwell time with insights on conversion to determine whether staff is fully seizing the opportunity.
“Monolith aims to give bricks-and-mortar retailers the same level of customer insight as online retailers”
“Monolith distinguishes itself by doing more than delivering data. Monolith interprets collected data, uses persuasion techniques and makes use of psychological analyses“
“The company hopes its customers can use this information to redesign their offers, their services, or even their whole store in the best way that will enhance the shopping experience“