MRMW_BEACON_NY_DAVID_WRIGHT

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David Wright [email protected] Using Proximity Beacons to extract meaning from offline interactions

Transcript of MRMW_BEACON_NY_DAVID_WRIGHT

David Wright

[email protected]

Using Proximity Beacons to extract

meaning from offline interactions

What are they?

Mostly Battery!

Where do they fit into the Proximity Toolkit?

Cell ID – in retail park – several large department stores

GPS – Upmarket Department Store within retail park

WIFI – On second “fashion” floor

Beacon – Dwelled in Handbag Section

Beacon or NFC – Made a Purchase

100m – 1k

10-50m

20-200m

30cm-3m

<20cm

How do they work?

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What does beacon data look like?

RSSI = Received Signal Strength Indication

Wrist sensor compared to pocket

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Start-ups making sense of sensor noise

Beacon’s are already evolving

Stand-alone/battery USB plugin Solar Power Stickers

Sensor Stickers!

Location/Distance Motion Air Quality Temperature

Proximity “Listening” Flow

GEO-FENCE BEACON

ZONE NFC

OTHER SENSORS

> X Seconds > X Seconds

Why this Rapid Evolution?

Indoor location = $10 billion in 2020 ABI Research

Beacon engagements = 5 x more interaction

Over-saturation and irrelevant messages

= Decline and Delete

Lots of challenges

• No-one has your app!

• 8-18 % Have Bluetooth Turned on

• Large Retailers – tentative In Pilot Mode...

• Android >= only .... 4.4 kitkat above and lollipop....

• iOS 7.0 and above

• Getting the numbers to measure OOH uplift -requires huge listening

reach

• Security Issues.... i.e. third parties mapping your beacons

• Managing all those beacons!

Early Solutions

Gimbal

InMarket.com Swirl (Twitter just invested

$18M in them)

APP Listening Networks Beacon Networks

WPP View – Beacon Hotspots

APAC - Greater merger of Social with E-Commerce?

WeChat “Shake Nearby” WeChat’s Wallet

Path Tracker – Use Case China

Path tracker gives an holistic picture of high traffic area

vs low traffic and high stopping vs low stopping.

*312 BEACONS

Path tracker can capture the distribution of time spent for every

shopper in the store

5%

20% 25%

17%

14%

9%

4%

3#

1% 1% 1%

Time in store (mins)

Average time

in store

41 mins

Average spending

(RMB)

105.3

Implementation Summary

• 327 Beacons

• Respondents – pre-recruited and handed phone

• The app triggered a survey on store exit

• Heat maps and data analysis was done in-house

• Initial set up was expensive

• Expect cost and time to come down for subsequent projects.

Smart-Cart .. Philippines

Time Location Movement Reaction Action

Purchase Survey

Proximity + Sensors = holistic picture of a shopper

Screenshot from batch.com (provides aggregated reporting on mobile notifications)

List Ease provided by inMarket.com

Proximity + Mobile Messaging

Privacy

1. Understanding key moments up to the

moment of purchase

2. Easy to do small scale experiments

3. Multiple uses for beacons - be

creative!

Final Points – be creative!

David Wright

[email protected]

Using Proximity Beacons to extract

meaning from offline interactions