How to Increase Revenue with Retail Analytics

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Presentation transcript:

How to Increase Revenue with Retail Analytics

Challenges Understanding the Digitally Connected Consumer Measuring Customer Behavior Connecting with your Customers Influencing Customer Purchasing Decisions Use Cases

Traffic Flow Metrics How much outside traffic Are they always same people? How many enter? How many are known to me? How many stop by my window How does it compare to last week?

In-store Metrics How many people are in store? How was this week compared to last week? How long people are in store? How many of my customers are new? Is queue too long? Are customers leaving before they make a purchase? Are they checking online prices? Did my Ad/Coupon bring them in?

Customer Key Performance Indicators Visitor Loyalty Conversion funnel Duration distribution

Observe Customer Shopping Patterns…

Real-time and Historical Heat Maps

Most people visited this place Dwell time Visits Weekday People spent time here Most people visited this place Weekend

Retail Store (Clothing, Furniture) Presentation Title Retail Store (Clothing, Furniture) Buyer: Marketing & IT Goal IT: Extract more value from their infrastructure / store of future Passby, visits, engaged, New vs. Repeat Visitors Interior Heatmaps of least visited areas and dwell times Fast Social WiFi login Knowing the competition when customers are online Cross store visits between outlet and boutique store A/B window and marketing campaign tests Store POS data comparison to foot traffic Store to Store comparison

Car Brand for their Dealership network Presentation Title Car Brand for their Dealership network “Wi-Fi became a must-have to get people to come in, spend time, and buy products” Buyer: Marketing department Success Criteria: KPI – do cars sold correlate to number of people showing up? Cross-visits: Do people visit multiple dealers? Is there a pattern? Know ratio of New vs. Repeat Visitors Know their customers thru Social WiFi Login Knowing the competition when customers are online Identify who visited their website and later come in Adjust staff hours  

Restaurant / Shopping Center Buyer: Owner / CFO Success Criteria: Knowing how many who park in parking come to the mall, identify VIPs How long patrons are spending time in main bar’s queue Which events bring in most customers Which properties get the most foot traffic Move from free guest wifi to Social WiFi Login Increase shopper loyalty by making offers to lapsed visitors Can they make other less visited locations popular by digital signs