Digital INCITE introduces its WiFi analytics platform

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Bartholomew Hines
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1 Capture On-site sensors to capture individual mobile users coming in and out of a premise using active or passive hotspots. Analyse Powerful software analytics to capture footfall, dwell time, re-occurring visits, precise location and unique user information. Monetise Use the intelligent data captured to target users, improve sales conversions & make strategic decisions about your physical layout. Digital INCITE introduces its WiFi analytics platform Imagine being able to identify every time unique and repeat users come into your store, airport, train station, stadium or any other premise. Now imagine being able to see the exact location of where they are positioned and how long for. Would you like to reach out to them at this point? You can do that too. Consider the benefi ts that this type of detailed information can do to improve your business operations, sales conversions, retention and ROI inside your premise. WI-INCITE is an end to end location based WIFI solution that delivers benefi ts unparalled by traditional manual based market research. And it also gives your users a great Hotspot internet connection at the same time.

Monetise Use the intelligent data captured to target users, improve sales conversions & make strategic decisions about your physical layout.

2 Contents: Retail analytics & customer loyalty How does it work? Shopping behavior impacted by mobility Digital INCITE can provide the data Key points to improving customer loyalty involve location analytics Behavior metrics and visitor segmentation Measure loyalty by program, segment & buying patterns Contact us

3 Trends indicate that in-store searches will continue to grow at an astonishing rate made possible by WIFI and smartphones integration. Customers show a 25% yearly increase in product search over the internet while shopping in the store. increase totaling raised footfall Retail analytics & loyalty solutions In-store driven loyalty via customer personalised interactions. Business Intelligence for Customer Location Loyalty Management and In-Store Analytics. up difference are...trends are showing that each year more customers comparing and searching via WiFi while in-store!

4 How does it work? In-store sensors triangulate mobile WiFi Scans Data is processed via our cloud servers The data is relayed to you for analysis...no application is required on the devices to be tracked Jan Feb Mar

5 Shopping behavior impacted by mobility: Analyse data from an entire estate, a single venue or even a single area of interest within a venue, all in real time. Compare historical data and forecast future demands. Mobile device detection + WIFI + customer analytics opens sales opportunities, in a similar way that online retailers have been doing by personalising content and offers. Are your window or in-venue displays generating the foot traffic you had anticipated? How do customers traverse your venue? Where are the venue hot spots?...customer analytics opens sales opportunities!

Mobile device detection + WIFI + customer analytics opens sales opportunities, in a similar way that online retailers have been doing by

6 We provide data on the following metrics: CAPTURE RATE How well do your window displays pull shoppers into the store? Find out your Capture Rate and actively improve it. REPEAT VISITOR RATIO Are most of your shoppers regular customers or fi rst-timers? Optimise for the segment that drives the most sales. WALKBYS How much business is walking right by the door? Launch your sales on the days with the highest Walkby traffi c....what do you currently know about your customers?

REPEAT VISITOR RATIO Are most of your shoppers regular customers or fi rst-timers?

7 We provide data on the following metrics: VISIT DURATION How long do your shoppers spend in the store? Are they engaging with staff or waiting in line? VISIT FREQUENCY & RECENCY How often do shoppers come in the door each month? Are your daily deals generating loyal customers? ENGAGEMENT & BOUNCE RATES Are shoppers staying long enough to make a purchase? Or do they bounce in just a few minutes? Measure the percentage that stay for a period of time you specify....add value to your business with proven data!

Are your daily deals generating loyal customers? ENGAGEMENT & BOUNCE RATES Are shoppers staying long enough to make a purchase?

8 Retail & Customer Loyalty Analytics Targeting content (coupons, loyalty rewards & personalised offers) Customer Interest graph (segmentation patterns, statistical models, data mining buying behavior) Aggregate & analyse customer data (in-store tracking, website, social media, POS, marketing) Location based data by tracking devices and shopping patterns for each visitor...personalise your customer s shopping experience! Jan Feb Mar

analyse customer data (in-store tracking, website, social media, POS, marketing) Location based data by

9 Key points to improving customer loyalty involve location analytics Key points: Ability to measure and optimise foot-traffi c, visit duration, repeat shopping, product assortment, employee shifts Enable personalised and contextual in-store interactions by utilising our targeting engine and push-intelligence workfl ow Decrease customer churn, increase basket size, target campaigns & offers Location tracking uses device WIFI signal strength (RSSI) Smartphone WIFI scans are picked up by sensors Device ID & location are identifi ed Data is sent to cloud servers for processing Location position based on DBM triangulation

push-intelligence workfl ow Decrease customer churn, increase basket size, target campaigns & offers Location tracking uses device WIFI signal strength

10 Behavior metrics and visitor segmentation Recency-Frequency-DwellTime In-store customer metrics are aggregated with additional data sources (POS, website, social media) to give a 360view of customer behavior. Closed loop, unifi ed data analytics. Unifi ed marketing-sales data: Salesforce.com, Google Web Analytics, Google Docs, Intuit QuickBooks, Sharepoint, fi les, Databases.

360view of customer behavior. Closed loop, unifi ed data analytics.

11 Highly effi cient text-based marketing tools driven by proven customer interest in your products Track key departments & store zones target customers by location of interest analyse buying behaviours promote interest in related products personalised shopping experience

zones target customers by location of interest analyse buying

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