Frequently Asked Questions (FAQ)

The Revuze data set consists of consumer insights based on verified buyers’ post-purchase data from actual product users who left a review post purchase.

Revuze’s unique technology aggregates online reviews from leading eCommerce sites from around the world including sites like: Amazon, Walmart, Target, CVS, Boots, Sephora, and hundreds of others.

Social media data is complementary to online review data. Social data focuses more on high level trends like post interactions, comments, and hashtags. Online review data taps into a business’ consumer base to get unbiased data about the category, brand, product, and product features. This level of granularity is currently not something that is possible with social media and social listening. 

When consumers write a review, they tend to  touch upon several facets of the product including attribute-focused topics such as: quality, smell, usage, packaging, just to name a few. Consumer sentiment can then be calculated across each topic to better understand what is driving 5 star or even 1-2 star ratings.

There are three main types of consumer reviews:

1. Organic reviews from verified buyers
2. Incentivized reviews, ie. when reviewers are incentivized e to write positive reviews.
3. Syndicated reviews – an accepted practice in the field. These reviews are duplicates, and are removed from the data set by default, however customers have the option to include them.

Revuze Explorer showcases data from both organic and incentivized reviews, however customers have the ability to isolate each data set and drill down more thoroughly and with more granularity.

All reviews are analyzed by the AI engine in the original language to preserve slang, other lingual nuances and context.

Sentiment is calculated as the number of positive opinions divided by the sum of negative and positive opinions. Using this calculation, we can determine the sentiment for an entire category, a specific brand, or a single product. The benchmark is established using the full range of products within the category.

With Revuze consumers  gain access to both quantitative and qualitative data to better  understand what’s influencing brand or product sentiment scores. 

Yes! Since Revuze provides category level data, users can drill down and learn how consumers feel about competitors’ products, as well as their sentiment about the users own product. Users can easily identify emerging competitors who they may not have considered in the past and dive into competitors’ weaknesses to understand how to reposition their own product line.

Absolutely! You can export the data to Excel or even to a PowerPoint presentation from the Revuze Explorer, that can easily be presented to stakeholders. Beyond the data, users can also export the reviews and opinions themselves.

Most customers refresh their data monthly, but others prefer to do it bi-weekly.

By default, all customers get two years worth of consumer insights from online reviews. This allows brands to delve into YoY trends and benchmarks. Additional data is available for a fee.

Of course. Revuze will send the data in DataBricks to help users integrate cleansed insights into an internal BI system. 

No, currently there are unlimited users for the platform.

The topics are not predefined, but are rather auto-generated by our unique generative AI technology. Using large language models and after years of training, the AI detects the topics in the context of the review and opinion.

The Professional Services Team, led by Noa Shachaff, Head of Consumer Insights & Analytics, comprises experts with extensive experience at renowned market research agencies and leading CPG companies. They are extremely seasoned in leveraging post-purchase data to create tailored reports that address the most challenging business dilemmas.

The Professional Services team collaborates with leading brands to create insightful reports using post-purchase data. This includes the following:

1. Product Launch Report
2. Comparison Report
3. Market Trends Report
4. Product Superiority Report
5. Purchase Motivation Report
6. Usage & Attitudes Report
7. Brand Tracker Report
8. Market Penetration Report

Click here to learn more about our complete suite of reports.

Many of our Professional Services clients also use the Explorer platform to address day-to-day questions. However, the team provides in-depth reports for more strategic business inquiries, such as Market Trends, Product Launches, and more to effectively use across personas and teams.

Yes, the team uses the same data set but has the ability to conduct more strategic, in-depth analyses. This enables them to support critical decision-making within your company at various levels, including category, brand, series, and even down to specific products.

There are a number of factors that go into our pricing packages:

• Number of categories
• Number of sources (eCommerce sites)
• Regions
• Cadence of data refresh

It depends on the company culture and stakeholders. In many cases,  the Consumer Insights/BI Team will leverage the Revuze data and reporting. However, the Revuze platform is so user friendly that many companies have trained their Product and Marketing Teams to leverage the data as well!

Every customer has a dedicated Customer Success Manager (CSM) and Account Executive (AE). As part of the onboarding process, the CSM will train your team to use the product. In addition, if you have more questions about leveraging the data for emerging business questions, your CSM and AE would be happy to jump on a call to any time.