Review Engine

We’ve built our review engine to capture data in a very structured way, using “tags,” or succinct keywords. Our innovative implementation has drawn praise across the industry, and we have several patents pending around our review capture, review display, and affinity recommendation technologies.

Capturing Structured Comments

Our patent-pending review capture implementation allows customers submitting a review to quickly agree with previous customers’ comments about key product attributes. And in a recent Keynote study, customers preferred our tag-based reviews 2-to-1 over Amazon’s free-form text reviews.

The example below shows category-specific pros that are captured through our tag-based review engine (in this case, the category is “digital SLR cameras”).

We have thousands of category specific templates already built out, with tens of thousands of individual tags already pre-populated in them. A dedicated team of content analysts continuously focuses on managing tag quality and evolving our tags and templates across both existing categories and new categories.

Displaying Consensus

Our patent-pending review display technology, the Review Snapshot™, leverages tags to provide customers with an at-a-glance summary of the salient comments about a product. So customers can quickly understand the distinct comments about multiple products without having to comb through dozens or even hundreds of reviews.

Driving Navigation

You’re probably familiar with traditional faceted navigation using product attributes like brand, price, category, and other specifications. Using our tag-based engine, you can now turn customer tags into new facets that customers can use to browse, sort, and filter product results. We call this customer-driven process “Social Navigation™” and have found that customers prefer it 2-to-1 over traditional faceted navigation.

Aggregating Insight

Given the proliferation of data on the Internet, the structured comments that we capture provide enormous value in the form of aggregated reports. So rather than combing through free-form text looking for nuggets of information, we simply deliver summarized tag-based reports broken down by category, brand, and product.

Internationalization

Our engine supports localization in country-specific languages, such as Canadian French or Mexican Spanish. Additionally, our review engine supports double byte character sets needed for languages such as Chinese, Korean, and Japanese.