SOURCE: Decide.com

Decide.com

July 31, 2012 12:00 ET

Decide.com Launches "Love It" or "Don't Buy It" Product Recommendations Based on Millions of Reviews

Shopping Service Adds a Product Recommendation Score to Unique "Buy" or "Wait" Predictions; Expands Into New Categories -- Sports & Outdoors, Lawn & Garden and Tools & Hardware

SEATTLE, WA--(Marketwire - Jul 31, 2012) - Decide.com, the shopping site that helps consumers purchase with no regrets, today announced the launch of product recommendations and expansion into more categories.

The new feature, called Decide Score, analyzes ratings and reviews from across the Web, compiling more than 200 terabytes of data into unique product recommendations. The launch continues Decide's focus of leveling the playing field for consumers, offering an unbiased source for shopping decisions.

Behind the newly launched product recommendation scores is a massive amount of data: 7,000 expert reviews and two million user reviews from Amazon, Best Buy and more. The "Decide Score" is shown as a simple 1-100 rating, allowing consumers to easily identify the best and worst products available in each category. The beta version of the score now appears on 22,000 consumer electronics and appliance products across 16 categories. The scores are available today on Decide.com.

"Decide leverages big data to makes complex shopping decisions easy for consumers," said Mike Fridgen, CEO of Decide.com. "First we introduced when to buy predictions, and today we take an important step towards becoming the next-generation consumer advocate by releasing data-driven what to buy recommendations."

The "Decide Score" groups products into four categories -- from a "love it" recommendation to a "don't buy it" recommendation, with an accompanying numerical score from 1-100:

  • We Love It: 9 percent of products are the highest rated with a "We Love It" recommendation and score of 90 and above
  • We Like It: 31 percent of products have a "We Like It"
  • You Can Do Better: 48 percent of products fit into a "You Can Do Better" recommendation
  • Don't Buy It: 12 percent of products have a rating that triggers a "Don't Buy It" recommendation

If the product recommendation is "We Love It" or "We Like It," Decide gives consumers confidence in purchasing the item. If the recommendation is "You Can Do Better" or "Don't Buy It," Decide offers a better alternative with suggestions of similarly priced products with a better score.

Along with its new score, Decide is also launching "Buy" or "Wait" price predictions in three new areas, bringing the coverage to five major product categories. The new categories, live on the site today, include:

  • Sports and Outdoor Equipment: Personal fitness and home gym equipment including treadmills and elliptical machines; outdoor sports equipment including tennis racquets, skis, inline skates and snowboards
  • Tools and Hardware: Power tools including drills, saws, generators, air compressors and pressure washers
  • Lawn and Garden Products: Lawn mowers, trimmers, hedgers, leaf blowers and wheelbarrows

About Decide's Technology:

Decide.com is the only shopping service using big data to help consumers buy with no regrets. The company has saved consumers a potential $75 million in savings through seven million "Buy" or "Wait" price recommendations since June 2011.

Both Decide.com and the Decide Apps (for iPad, iPhone® and iPod touch®; for Android™) utilize 230 terabytes of proprietary data and predictive algorithms based on more than 25 billion price movements to tell shoppers when to buy with confidence, or wait for a price drop or newer model to be released.

Since its launch in June 2011, Decide's price predictions have been 77 percent accurate and the average potential savings have been $101 per product.

About Decide

Decide was co-founded by Internet search pioneer Oren Etzioni, founder of Farecast and Netbot, the Web's first comparison shopping engine. The Seattle-based company has raised $8.5M in venture capital from Madrona Venture Group, Maveron and angel investors.

To follow Decide, visit the company's website (www.decide.com), blog, Facebook and Twitter.