Shopping Mall Data Strategy
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Traditional traffic analytics vs TIDE Analytics ? how do we take advantage of new tech in a shopping mall's data strategy.
Transcript of Shopping Mall Data Strategy
TRADITIONAL FOOTFALL TRACKING
CCTV Door Counters
Inaccuracy
massive processing
Unable to track traffic patterns (stay time,
retention, etc)
Inaccuracy
Do not track zones & levels
Unable to track traffic patterns
All these will be solved by
detecting mobile phone presence
with TIDE specialised sensors
and visual data systems.
250
200
150
50
0
1 2 3 5 8 10 12 13 15 20Min
185
3X(25 person)45.5%
What does TIDE's
Footfall Analytics gives you?
HEAT MAPS
Identify and monitor traffic health by zones, engagement, gauging interest
TREND ANALYSIS & TRAFFIC PREDICTION
Identify seasons or periods best for campaigns, activities or traffic control measures and optimise staffing.
CAMPAIGN REPORTS
Identify effectiveness of each campaign, measure campaign engagement,
PERFORMANCE
Performance of each individual listingshighlighting top 3 and lowest 3 performer.
What does TIDE's Footfall Analytics gives you?
RETAIL
Value added service - similar service but on a retail level.
Improving shopping experience.
Collect Travel Patterns
and converts them into
Recommendation.
Scenario 1
Melissa is a regular shopper that loves
branded stuff like Guess, Zara and charles & keith.
or the relevant promotions
may not be immediately
visible to her.
Melissa also uses an app to check out promotions
but most not apply or
relevant to Melissa
Melissa some times
misses out on promotions
due to long scrolling
Some times she notice the
relevent promotions too
late and have spent her
money somewhere else.
With TIDE’s Recommendation API, Melissa can see the most relevant promotion immediately based on her user profile.
This can create excitement and urgency which leads to choosing the shopping mall as the
preferred shopping destination.
