Shopping Mall Data Strategy

Post on 10-May-2015

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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

Maximising Online Tools for On-site Business.

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Traditional Footfall Tracking

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TRADITIONAL FOOTFALL TRACKING

CCTV Door Counters

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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.

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1 2 3 5 8 10 12 13 15 20Min

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3X(25 person)45.5%

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What does TIDE's

Footfall Analytics gives you?

What does TIDE's Footfall Analytics gives you?

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MALL

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HEAT MAPS

Identify and monitor traffic health by zones, engagement, gauging interest

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TREND ANALYSIS & TRAFFIC PREDICTION

Identify seasons or periods best for campaigns, activities or traffic control measures and optimise staffing.

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CAMPAIGN REPORTS

Identify effectiveness of each campaign, measure campaign engagement,

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PERFORMANCE

Performance of each individual listingshighlighting top 3 and lowest 3 performer.

What does TIDE's Footfall Analytics gives you?

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RETAIL

Value added service - similar service but on a retail level.

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Trends • Missed Opportunity

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Understanding Engagement

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Traffic Prediction • Campaign Reports • Benchmark

Improving shopping experience.

Collect Travel Patterns

and converts them into

Recommendation.

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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.

Thank You

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