What...Your Ecommerce Platform or Analytics Provider Wants to Power Your Product Recommendations?

Monday, October 17, 2011 by Conner Burt
When an online retailer is in the market for personalization, the first place that's often considered is their analytics provider. But, why do a large percentage of retail leaders use the marquee names for analytics (CoreMetrics, Omniture, Google), but choose iGoDigital for personalization?

It really boils down to Focus, Service and Flexibility...
  • Focus: All of our energy and time is dedicated to innovation and optimization in the personalization and product recommendations space for retailers. We understand the retail industry and focus on helping our retail clients to leverage our tools to increase conversions. 
  • Service: iGoDigital provides a Client Success Manager who acts as an extension of your merchandising team to optimize and A/B test product recommendations on your behalf.
  • Flexibility: Avoid the Black Box! Our Customer Intelligence Engine is build based on feedback from the world's leading retailers, but we understand each retailer is unique. We leverage best practices to create personalization solutions that fit the unique aspects of your business.  We work with your team to create a flexible implementation and a variety of product recommendations solutions ensures the best setup for your business.

Still not convinced?

Here's a glance at the difference in personalization between iGoDigital, a platform, and analytics providers...


 

iGoDigital

Platform

Analytics

General

 

 

 

Primary Focus

Product Recommendations / Guided Selling / Personalization Solutions

Platform

Analytics

Personalization Tools

Advanced Site Recommendations, Email Recommendations, Email Triggers, Guided Selling Tools, Product Finders, Content Recommendations, Segmentation Tools

Basic Site Recommendations, Dynamic Content

Basic Site Recommendations, Email Recommendations, Email Triggers, Testing Tools

Strategy & Design:

 

 

 

Competitive Analysis

Yes

Unlikely

Unlikely

Data Strategy for Offline Data

Yes

Maybe

Unlikely

Best Practices for Logic by Page Type (home, product, search results, etc)

Yes

No

No

UI & UX Best Practices (scrollers, reviews graphics, price, etc)

Yes

No

No

Development:

 

Recommendation Methodologies

40+ Algorithms plus Explicit Input via Finder

<10 Algorithms, no Explicit Input

<10 Algorithms, no Explicit Input

Custom Business Rule Development

Included

Up-charge

Up-charge

3rd Party Integrations for Recommendations

Email, Search, Ratings/Reviews, Call Center, In-Store, Mobile

Limited / Custom

Email - Otherwise, Limited / Custom

Post Launch Optimization:

 

Reporting

Focused on Recommendations Performance with views at product / category / shopper level

Limited

Focused on top-down trends and a wide variety of metrics other than product recommendations

Optimization and A/B Testing of Recs

Included

N/A

Change Request - usually associated with a fee

Logic Updates

Admin Toolbox / Services Team

Change Request

Change Request - - usually associated with a fee

Strategic Services

Weekly Analysis, Monthly Activity Reports, Quarterly Strategy Calls - Included

Annual Reviews

Annual Reviews


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