leveraging data to achieve greater sales

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Presented by Ken Levy for InnoTech Oregon 2011

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Ken Levy CEO & Co-Founder

Leveraging Data to Achieve Greater Sales

Ken’s Background

In the store…

Sales Agent’s Knowledge

Train More Sales Agents…

Online

Problem

Opportunity

ONLINE DATA• Purchases• Product Views• Product Attributes• User Generated

Content• Social Profiles• A/B Testing

NEW SOLUTIONS• Personalized

Recommendations• Ratings & Reviews

Stats

eMarketer Survey: Features to Add to Website

Personalized Recommendations

Better Shopping Experience

Convert Browsers to Buyers

Larger Orders

More Repeat Customers

Key Types of Recommendations

Cross-sell

Similar

Personalized Up-sell

Data

How Does It Work?

Recommendation Engine

Product Page: Cross-Sell

Customers Also Bought

Product Page: Similar & Cross-Sell

Scrolling Window

Cart: Personalized Cross-Sell

Email: Personalized Up-sell

Monthly Newsletter Order confirmation Shipping Confirmation Ratings & Review Request

Abandoned Cart Use Cross-Sell

Email: Personalized Up-sell

Based upon your buying habits, you may also like…Based upon your purchases, you may also like…

Monthly Newsletter Order confirmation Shipping Confirmation Ratings & Review Request

Abandoned Cart Use Cross-Sell

25% More Sales

50% larger average order value

15% higher conversion

10% more sales

Ease of Integration

Ecommerce Platform

Online Retailer Online Retailer Online Retailer

Affordable Pricing

$50 to $1,300 per MonthRecommendations Displayed

Ratings & Review

Recommendations & Ratings /Reviews

Future: Social Recommendations

Friends who bought this…

Dan BoydChris Wicker

Nash Levy

Future: Social Profiles

Movies For You

In-Store Recommendations

In-Store Trends

1. Price compare and leave– Keep shopper in store with

recommendations

In-Store Trends

1. Price compare and leave– Keep shopper in store with

recommendations

2. In-Store Kiosks with Recommendations

3. Employee Handhelds with Recommendations

Merchandising Decisions

• What type on which pages?– Product Pages = Similar and Cross-sell– Cart = Cross-sell– Shipping & User Admin Pages = Personalized Up-sell– Newsletter, Order and Shipping = Personalized Up-sell– Cart abandonment = Similar and Cross-sell– Social / Facebook Store = Personalized Up-sell

Merchandising Decisions (2)

• How many recommendations?– Show 3 to 5 at a time and include a slider

• Where on the page?– To Right of product, or– Below product, but above the fold

Merchandising Decisions (3)

• Titles – shoppers like to know why– People also bought…– People also viewed…– Based upon your order, may we suggest…– Based upon your past purchases, you may also like…

• Same decisions for ratings & reviews

• Measure Results with Analytics

Thank You

Ken Levy

Co-Founder & CEO

Ken@4-Tell.com

971-338-9837

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