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Intro toMetailAPRIL 2014

Summary of Products and Services

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Metail - an enabling technology capturing a new data source: shopper’s body profiles

Your issue?

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Metail – positive impact across metricsR

eta

ilers

Increase conversion

Increase AOV

Reduced returns

Engagement

Marketing

• 12% higher in UK• 11ppt higher in Brazil

• 6% higher basket size in UK• 5% higher basket size in Brazil

• 9.5% lower return rate in Germany• 5% lower return rate in UK• 11% lower return rate in Brazil

• 7-12% adoption rate• 20% with marketing

• BAFTA nominated for ITV This Morning

‘Take over the Makeover’

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Our product portfolio

MEMODELFITTING ROOM

DATA SERVICES

MARKETINGINITIATIVES

• Fully featured online fitting room

• See clothes and whole outfits on your body in 360

• Companion app

• Impact all KPIs for new & existing customers

• Utilise MeModel’s in fun ways

• Drive engagement and awareness

• Chance to try on sneak preview collections

• AB Test Platform – KPIsuite & ROI

• Customer shape and size data can aid buying & selling decisions

• Segmented marketing opportunities and crowd sourced outfitting

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Data allows us to further increase net sales and develop the product

Customers using visualisation product

Unique data set of customer body shape

and behaviourGreater net sales

Information on style preference by shape

Improved size recommendation

based on returns data

Recommendation engine based on shape and size

Iteration of sizing chart and tailoring

Marketing based on customer shape and

preference

Improved and new products

Better informed trading decisions

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See clothes on yourbody shape in 360°

Experiment and createa whole outfit

Personalised sizerecommendations

1. 2. 3.

Product portfolio: MeModel Fitting Room

DELIVER THE BEST ONLINE FITTING ROOM EXPERIENCE BY:

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Complete Outfitting Solution: Live on Warehouse or try at Metail.com

THE COMPANION FITTING ROOMTRY ON & CREATE OUTFITS WHENEVER YOU CHOOSE

http://metail-demo.myshopify.com/collections/all

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Share your look with friends directly in the Fitting Room from June

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Other exciting new features planned for release over the coming months

• History bar

• Size advice consolidated with Add to Bag

• History of tried items included as buy options

• Responsive, sharper UI

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• Parabolic lighting setup

for garments

• New light-cube improving

contrast and saturation

• Improved heads

• Better fitting garment

modelling

• Smoother edges

• New ‘together’ pose

…and pose & visualisation improvements continue

CURRENT NEXT ITERATION

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Product portfolio: Marketing initiatives

THE EDIT THE PRESELL

MEMODEL LOOKBOOKS MEMODEL EMAILS

MARKETINGINITIATIVES

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The Edit – Fashion personality campaign

• Style advice from individual with fashion authority

– Celebrity, fashion director, blogger

• Try on entire looks or single items

• Sharing features spread awareness

PERSONALITY DRIVEN

SHARING PURCHASES

SOCIAL

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The PreSell – a sneak preview to understand reaction to new collections

• A sneak preview of new collections

• Invite VIP shoppers, press and bloggers to exclusively try on the preview

• Anticipate demand through number of try ons, shares and even opportunity to pre-order

• Can deploy to own site or Metail can host separately to minimise integration

60 70 80 90 100

Shares

Try ons

Thousand

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Brand lookbooks + MeModels – enhance traditional content through personalisation

ENGAGEMENT

AWARENESS PURCHASES

PLAY

• Allow shoppers to try on entire outfits featured in lookbookswith one click

• Engage shoppers by previewing looks on themselves

• Personalisation of content creates playfulness

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MeModel emails – targeted emails making use of customers body profile

• Use shoppers body profile to send targeted solus emails

• Increase effectiveness by showing clothes which are available in shoppers’ size

• Provide recommendations known to suit shoppers’ body shape

– e.g., recommend shift dresses to shopper’s who do not have well defined waists

• Include links to try on clothes to drive higher email click throughs

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1. Customer shape & size data can now aid brand’s buying & selling decisions2. Body shape & outfitting data -> crowd sourced outfit recommendations

Product portfolio: Data services

UNDERSTANDING SHAPE PROFILE OF CUSTOMERS HOW SHAPE VARIES BY SIZE

Do we need to create new collectionsto cater for clusters of different shapes?

Do we need to change the fit profi le bysize to accommodate different shapes?

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YOUR SHOPPING COMPANION

day or night

E V E R Y W H E R E

The vision of Metail

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TAKE OVER THE MAKEOVER

www.itv.com/thismorning/style-beauty/take-over-the-makeover

• Monthly feature on ITV This Morning

• Over 30k submissions from 20mins airtime

• Average visit duration 9mins

• 7,500+ UVs sent to retail partners / show

Promo Video - http://youtu.be/fYxPr2ykzIk

PR/Marketing case study:ITV live shows featuring Metail

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Contact information

VIKESH SHAH

LEAD BD MANAGERvikeshs@metail.com

+44 7976 220 115

Skype: vikeshshah85

www.metail.com

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APPENDIX >>>

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Simple photography process

<£10 to digitise each garment

Only one sample size required

< 5 minutes per garment

Up to 40 garmentsper hour

Can integrate with existing photography

processes

Only requires 8m by 3m in

space

Does not require professional

photographers

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• Only 2 points of tech integration

1. Single 10 line JavaScript snippet to integrate Fitting Room

2. Analytics integration to track performance on KPIs and provide free AB testing

• Typically requires less than 1 day of actual developer time

– Metail write and host integration code to reduce time required

Technical integration can be done in less than a week

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Interactive Size Advice

• Based on brand size charts to minimise setup requirements

• Returns history drives machine learning improvements– Best source of training data - which size did

people of similar body shapes keep?

Isme (Savoir range) - http://prd-stg-isme.lsdg.com/1180694154.prd

Benefits

Size Recommendation

• Quick rollout over entire catalogue

• Simple setup– no need for garment measurements

• Machine learning improvements

• Data capture tool for shoppers size profile

• Covers larger size range

Product portfolio: Interactive Size Advice

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Magazine coverage

Main banner on website

Size advice landing page

Prominent CTA

Product launch event

Part of retailer’s ‘Fit Guarantee’ campaign

Effective promotion by retailer leads to adoption rate of 20%

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A brief introduction to Shape based segmentation

Metail has developed a way to examine customers' shape normalizing for size

We do this by comparing the customer’s hip and bust size (based on the retailer size chart) to waist size

Thus two people of different size may have the same shape – and vice versa

Waist = 79cm = Size 14

Bust = 93cm = Size 12

Hips = 106cm = Size 14.4

Bust size away from waist

= -1

Hip size away from waist

= 0.2

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Shape segmentation of partner’s customers

Matching Group

49%

24% 2%

11% 14%

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Details of the Matching Group

6 8 10 12 14 16

Bust

Waist

Hips

Size and shape of median customer in segment

Example customer from this segment (165cm tall, 73cm waist)

49% of customers are in this segment

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Details of the More Rectangle Group

6 8 10 12 14 16

Bust

Waist

Hips

of customers are in this segment24%

Size and shape of median More Rectangle customer

More Rectangle compared to Matching Group ( Both 165cm tall, 73cm waist)

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Shape by size

0% 25% 50% 75% 100%

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14

12

10

8

6

Siz

e

Segment breakdown by sizeMore Hourglass More Inverted Triangle Matching group More Pear More Rectangle

N=80

N=840

N=2,001

N=2,170

N=1,507

N=1,176

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Mobile phone solution can be developed according to partner’s needs

• Email marketing• M-site• Responsive design

Smartphone requirements dependent on partner needs:

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JIM DOWNING | CTOJim has worked in roles and sectors spanning from consulting on financialservices application performance to architecting academic software to working oninformation standards development. He joined Metail from the University ofCambridge where he ran a portfolio of R&D projects, including the MicrosoftOREChem project. His undergraduate degree in Engineering is from PeterhouseCollege, Cambridge.

TOM ADEYOOLA | CEO & FounderTom Adeyoola, Metail CEO and Founder, led the gaming products division atInspired Gaming Group. Tom’s career has spanned ten years in various seniorstrategy and product development roles from Sportal to 3. His undergraduatedegree in Economics is from Christ’s College, Cambridge University.

KEY FACTS

40 employees(16 Tech/R&D incl.

7 PhDs)

London: Operations,

Products, Business Development

Cambridge: Technology

Asia office toopen Q1 2014

£5.4 million investedto date

KELVIN AU | Managing Director, AsiaKelvin has been involved in the technology industry for over a decade. Prior toMetail, he was a venture investor at DFJ Esprit, one of Europe’s largest technologyVC funds focusing on the internet, software and mobile sectors. Kelvin alsoworked at Credit Suisse, HSBC and IBM. Kelvin holds a first class Master's degreein Computer Science from Imperial College London.

SARAH WALTER | Chief Creative OfficerSarah has responsibility for building Metail’s consumer marketing operation,branding and PR. She is extremely experienced in the fashion industry havingpreviously been Director of Communications for both River Island and New Look,and held senior positions at Vogue and Marie Claire.

Metail has built a first class team

MANAGEMENT TEAM