Driving Sales and Marketing Success with Video Analytics
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Driving Sales and Marketing Success with Video Analytics

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View the slides from this webcast and learn how best-in-class retailers are leveraging video-driven business intelligenceTM to gain a better understanding into traffic and conversion data. In this......

View the slides from this webcast and learn how best-in-class retailers are leveraging video-driven business intelligenceTM to gain a better understanding into traffic and conversion data. In this webcast you will learn strategies on how to:


- Leverage video-driven business intelligence TM to gain greater visibility to customer demographics and increase traffic to store

- Measure sales associates’ conversion rates to increase dollar amount per transaction

-Evaluate and improve customer experience to drive loyalty

More in: Business , Technology
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  • 1. Driving Sales and Marketing Success with Video Analytics
  • 2. Welcome & Introductions• Your host for today’s webinar: Carlos Perez Vice President Product & Marketing Envysion (303) 381-4790 cperez@envysion.com Brandon Line Product Manager Envysion (303) 381-4779 bline@envysion.com© 2012 Envysion, Inc. 2
  • 3. Retail Today Deloitte surveyed more than 100,000 customers on their store experiences key finding include: • There are significant opportunities to convert more sales within every retail category. • Most retailers have highly sophisticated data on their buying customers, but almost no information on non-buyers. • Non-buyers often go on to purchase from competitors and may be permanently lost as customers. Source: Retail Challenge Framework Series Three, Deloitte & Touche USA LLP © 2012 Envysion, Inc. Proprietary & Confidential 3
  • 4. And Yet... Only 13% of national retail stores are actually equipped with and using customer countingsystems & still fewer using an fully integrated solution Source: Irisys
  • 5. Traditional Traffic CountingWhy Count? • Calculate store traffic • Data & Solution Silo • Compare store performance locally, regionally, and nationally 6,000 5,000 4,000 3,000 14-Jun Average 2,000 1,000 0 Monday Tuesday Wednesday Thursday Friday Saturday Sunday
  • 6. More Than Data: Comprehensive Traffic Counting Solution Video Analytics + Video-Driven Business Intelligence™ • All in one seamlessly integrated solution • Calculate conversion rates • Tying traffic/conversion data to video to understand root cause Conversion Report (Ranking by Store) People Location Count Rank Conversion Rank Avg Basket Rank Total Sales Store 1 3,697 1 51% 10 $ 26.55 6 49,782 Store 2 5,550 8 42% 5 $ 21.88 3 51,182 Store 3 5,000 5 39% 4 $ 28.75 7 55,714 Store 4 7,594 10 37% 3 $ 19.77 1 55,983 Store 5 6,093 9 48% 8 $ 20.14 2 59,024 Store 6 4,951 4 46% 6 $ 26.11 5 59,064 Store 7 5,342 7 37% 2 $ 30.26 9 59,131 Store 8 5,002 6 49% 9 $ 24.41 4 59,671 Store 9 4,557 3 34% 1 $ 39.81 10 61,340 Store 10 4,448 2 48% 7 $ 29.49 8 62,615
  • 7. Calculate Key Performance IndicatorsPeople Count X Conversion Rate X Dollars per Transaction – Shrink = Sales ($) People Count • Customer Traffic in Store Conversion Rate • Transaction Count/ People Count Average Dollar Per Transaction • How much $ Customer Spend/Transaction
  • 8. Traffic represents the totalOPPORTUNITY present in the store
  • 9. People Count People Count = Customer Traffic in Your Store• Measure changes in traffic following marketing campaigns• Tie traffic increases/declines to marketing effectiveness• Determine the peak traffic times and schedule staff at optimum levels by time and day of week• Integrate video and business intelligence
  • 10. Demographic ResearchMarketing gets instant and unfiltered visibility into exactly who is buying what product and using what promotion to assess program effectiveness Gender and Age Percentage Gender and Age Using Promotion 140 < 30 Male < 30 Female 30-50 Male 120 30-50 Female > 50 Male > 50 Female 100 80 50% 60 Non-Coupon 40 Coupon 13% 20 8% 0 13% 8% 8% < 30 M < 30 F 30-50 30-50 > 50 M > 50 F M F© 2012 Envysion, Inc. Proprietary & Confidential 10
  • 11. Use Case: Marketing Promotions© 2012 Envysion, Inc. Proprietary & Confidential 11
  • 12. Conversion Rates Tying people counting data to point of sales data enables calculation of conversion rates – providing direct access to video provides the unfiltered context behind the numbers© 2012 Envysion, Inc. Proprietary & Confidential 12
  • 13. Use Case: Conversion Rate Conversion Rate = Transaction count to the people count i.e. converted prospects
  • 14. Average Dollar/Transaction Average dollars sold per transaction increases sales Store People Conversion Average Sales Count Rate Dollars Per Transaction 44 5,379 62% $30.34 $101,947 57 5,788 38% $76.08 $168,211 88 5,637 45% $30.73 $78,110© 2012 Envysion, Inc. Proprietary & Confidential 14
  • 15. Average Dollar/Transaction Identify missed up sell and cross sell opportunities
  • 16. Calculate Key Performance IndicatorsPeople Count X Conversion Rate X Dollars per Transaction – Shrink = Sales ($) People Count • Customer Traffic in Store Conversion Rate • Transaction Count/ People Count Average Dollar Per Transaction • How much $ Customer Spend/Transaction
  • 17. Functional Stakeholders Across the Organization People Conversion Avg. Dollars/ Shrink Count Transaction Marketing & Merchandising Operations & Sales Loss Prevention © 2012 Envysion, Inc. Proprietary & Confidential 17
  • 18. Q&A• Please type your answers into the chat window and we’ll do our best to answer all of them!• If you would like to ask your question(s) privately please contact Carlos at cperez@envysion.com© 2012 Envysion, Inc. Proprietary & Confidential 18
  • 19. Next StepsWant to Know More?• Whitepaper “Using People Counting and Conversion Rates to Increase Sales,” Email: aschmidt@envysion.com for a copy• Checkout our blog: http://www.envysion.com/blog/• Request a 1:1 demo or more information – Carlos Perez; cperez@envysion.com; 303-381- 4790© 2012 Envysion, Inc. Proprietary & Confidential 19