Approximately 1/3 of Americans use comparison shopping engines at least once per month. Your ecommerce site should be earning 10-20% of your monthly traffic and revenue from your listings on comparison engines. Are your results on par? This webinar is geared towards Yahoo! Stores (over $250k annual sales) who are committed to increasing revenue in 2010. Have you ever wondered how to increase your traffic and sales on your Yahoo! Store? Whether you've struggled in your attempts to list your products on comparison shopping engines like Google Product Search, Yahoo Shopping or Shopzilla, or just want to find out more about data feed optimization this is the webinar for you! Or maybe you’re getting the qualified clicks from the shopping engines and wondering "now what?" If you are looking to setup and configure analytics for your store or add custom fields that improve landing page conversion rate, we'll show you how to ensure you've setup your store to track and optimize the conversion. Join SingleFeed as we share our expertise and advice in getting started with the shopping engines. Yahoo! Stores design and helper company FastPivot will be joining us to not only discuss how to properly track your shopping engine campaigns with Yahoo! Analytics, but also help you understand what metrics to keep an eye on. We'll be covering the following topics: - How to add custom fields to your Yahoo Store - Properly measuring results with Yahoo/Google Analytics - Take home action items/tips to optimize your feed - Yahoo Shopping & Pricegrabber changes

1. Shopping Engine Success for Yahoo! Stores Presented by with guest

3. Measuring results with Google Analytics

4. Yahoo Shopping & Pricegrabber changes

5. Data Feed Optimization Tips

7. Why SingleFeed? Lots of reasons!

9. First account manager @ Become

10. Internet marketer who used SingleFeed & other data feed solutions

11. Physical and Online Retail experience

12. Google Product Search Partner

15. Validation & Correction wizard

16. Strict requirements

17. Data Feed Optimization (DFO)Get you live Qualitative optimization Quantitative optimization

18. Background on Shopping Engines Tons of traffic Leading shopping engines have 10m+ uniques/month Bing Cashback & Amazon Product Ads growing Dominate organic and paid listings Google OneBox, Yahoo! Shortcuts, etc. CSEs are Better, Stronger, Faster than individual merchants Partnerships – AOL Shopping to CNET to Sears Marketplace Results Shopping Engines can account for 10% of revenue IF you put in the effort!

19. FastPivot Custom Fields & Google Analytics

21. Online Store Design

22. Print Ready Design

23. Development

24. Yahoo! Store Development

25. CMS, Salesforce, Drupal, etc.

26. Custom integrations

27. Strategy

28. Analysis, Consultation, Management

29. SEM, Social Strategy Matthew Ledford CEO, Founder, FastPivot.com

31. Yahoo! Stores come with these basic product fields available: Options Caption Abstract Ship-weight Name Code Price Sale-price

32. Many comparison shopping engines will accept so many more: MPN UPC Condition Color Size Category Manufacturer Brand ISBN Gender Department Age Range Age Group Author Publisher Made_In Material

33. Custom product fields can be created in Y! Stores, but options for creating these fields vary depending on store type. Y! Merchant Solutions vs Y! Legacy Store

34. What kind of store doyouhave?

35. Do you have a Catalog Manager? If so, you have a Merchant Solutions Store.

37. Once a new product field is created, it is permanent in most cases (not all cases). For this reason, the title and type of field is very important – as it cannot be removed or changed.

39. In most cases, custom fields must be created ONE AT A TIME for each product.

43. However, this file does not include custom fields or categories. To send over data including custom fields and categories, a custom feed is required.

45. The type of Yahoo! Store do you have?

46. Merchant Solutions = product fields can be added globally – assistance recommended

47. Legacy Store = product fields added one product at a time by adding properties to products, but no feed options.

55. drop in the metrics you want to see

57. After clicking shoppingengine, this view will display only shopping engine activity.

58. It can be a part of your dashboard with a single click! Dashboard module:

60. “Source” and “Medium” are the main string pieces to pay attention to, but learn about all that are available:

61. http://www.google.com/support/googleanalytics/bin/answer.py?answer=55578&hl=en

63. Be sure to visit our blog at www.fastpivot.comGrant Henry www.fastpivot.com grant@fastpivot.com 888.770.8883 x 311

64. Shopping Engine Results Explained What it looks like

65. Search Engine Results Page Explained

66. Product Results View

67. Normalized Product View

68. Yahoo! Stores & Google Shopping Are you already on Google Product Search? www.google.com/products & type in site:domain (site:www.gundogsupply.com) Know that you’re probably already up and running. BUT, you can submit a better feed.

69. Data Feed Optimization Tips & Advice

70. Data Feed Optimization Tips Testing Product Titles Includes brand, color, size, and gender Good!

71. Data Feed Optimization Tips Testing Product Titles (cont) Missing brand, color, size, etc Bad!

72. Data Feed Optimization Tips Product Variations Do you have multiple colors, sizes, or configurations?

73. Data Feed Optimization Tips Bulk Price Discounts Pricing on the engines must be per minimum qty order

74. Data Feed Optimization Tips Minimum quantities Google requires total price for the min qty order.

75. Data Feed Optimization Tips Tax & Shipping Provide shoppers “out the door” price

76. Data Feed Optimization Tips More Attributes = Better Results Submit more than just required fields. Include UPC, model number, custom attributes. No feed is created equal Don’t use the same file for every engine! Catalog.xml file doesn’t have everything engines want Categorization is your friend Each engine has a different taxonomy Submit Feeds Daily Products change price etc,

78. March 11th is the switchover

81. Conclusion Ryan Douglas – ryan@singlefeed.com Brian Smith – brian@singlefeed.com Grant Henry – grant@fastpivot.com www.singlefeed.com www.loveyourfeed.com www.comparisonengines.com www.fastpivot.com