Turn VoC Into Winning Decisions

Yes, they are. Wonderflow extracts insights from your competitors' public data too. If a competitor's public feedback is not currently in our Feedback data lake you can request it and it will be added.

Well, it is our specialty. We have the most granular and performing ontologies for your industry, ready to be used, without any manual configuration needed on your side. On average, our VoC analysis covers 100 to 150 topics for each product category (3X more granular than any other platform) organized in a multilevel hierarchy, so that you can explore them from most generic ones to more specifics. For each topic, our artificial intelligence can determine its sentiment on a 3-level scale: positive, negative, neutral (used when a topic appears in a question, say coming from a customer support ticket).

Rating and Reviews are our bread and butter. We can collect public feedback data with the highest accuracy on the market from hundreds of online sources. Thanks to our indexing technology, we can associate each feedback at SKU/EAN level. Our cleansing/deduplication Sofware cuts on average 20%+ errors in the analysis of the insights. If that's not enough, our Semantic knowledge base is the largest in the market for many industries, and our data lake hosts million of high-resolution analyzed reviews. Our predictive AI is just the cherry on top.

By design, Wonderflow can integrate all pre-existing feedback solutions (like Medallia, Sprinklr, Salesforce, Bazaarvoice, etc.) that your company uses to manage customer feedback. Wonderflow can eventually setup custom integration (both in and out) using API.

If you want to make decisions with data, you need data you can trust. The measure of trust for your analytics providers is the quality of data they provide. Few providers have quality insurance and measurement process like the one Wonderflow has. Thanks to our technology, we measure and test the data quality at each step of the data management process: from the collection (in the case of public data) to analysis. For instance, for most consumer goods verticals - where our predictive AI is highly specialized, we hit 82% accuracy (the highest achievable in Aspect Based Sentiment Analysis). We continuously measure and improve its capabilities based on the new data we collect.

Having VoC silos, often tied to the many different providers used to manage specific touchpoints (one for social, one for support center, one for customer reviews, etc.), prevents departments from speaking the same language when sharing insights from those touchpoints. Companies can overcome this by having a unified analysis system like Wonderflow that extracts insights from all their products' open text feedback. This is the foundation to build a harmonized infrastructure to look at learnings obtained from customer feedback to every department in the same way.