Yogi is a company that helps businesses decipher reviews and ratings using natural language processing and artificial intelligence.

About

Yogi provides unparalleled shopper sentiment insights straight from reviews & ratings. Using AI and NLP, integrated within our robust software platform, Yogi automatically aggregates and analyzes consumer reviews, showing you exactly how shoppers feel about your products and how this compares to industry averages, down to the most granular attributes.

Key Benefits

Yogi helps businesses get answers to a multitude of different business questions.


Here are examples of questions that Yogi can help address:


What are the sentiment "drivers" and "drainers" for product "x"?How can this data inform rebranding/repackaging/reformulation campaigns?


How can this data effectively track what impact the decisions and changes had over time?


How can we include this data in our team and company-wide reporting cadence? 


How can this data inform innovation? (new flavors, new combinations, new ingredients, new packaging, etc)


Head-to-head comparison of client's product "x" vs competitor product "y"?


Here are some other examples your team can choose from: (please note these are meant to be examples and not a full list of all of the questions you can answer with Yogi!):


How can we use this data to get more in line with a gap in consumer expectations?


How can we use this data to increase star rating?


How can this data quickly and accurately tell us if, when, and why a problem exists?


How can this data help us prioritize if a problem is small or a big and what we need to allocate resources towards solving?


How do ratings & reviews differ by retailer for product "x"?


What is the impact of promotional reviews on brand "x" or product "y"?


How can we use this data to benchmark against competitors?


How can we use this data to benchmark across retailers?


How can this data inform which photos and bullet points we include in our PDPs?


How can we use this data to validate marketing claim decisions?


How can we use this data to quantify the impact of promotional campaigns to cut down on wasted spend?


How can we use this data to inform conversion, retention, and LTV growth strategies?


How can this data inform product decisions?


How can we correlate this data with sales data?


How can we use this data to identify underlying reasons for missed sales?



Yogi clients benchmark success based on multiple different metrics including sales, conversion rates, time savings, and reduction in misallocated spend. Leading brands like Nestlè, Conagra Brands, Tropicana, Johnson & Johnson, and Microsoft use Yogi to answer their toughest business questions, unlocking an average increase in Star Rating of 0.2 and an average increase in online Conversion Rate of 8%. 


Supporting Information: Within 12 months, Yogi’s clients have tracked and achieved the following metrics/KPIs: Time Savings: Yogi completely removes the manual need to upload data, maintain URLs, and export information in order to analyze your reviews. Assuming that you and your team spend an average of 16 hrs/wk (2 days) maintaining and analyzing using your current process, Yogi can reduce that to less than 2 hrs/wk (0.25 days) total, by completely removing manual processes and allowing you to focus on the analysis and decision making. This can lead to more than 500 hrs saved per year!


Improved Outcomes: Yogi enables more in-depth (and easier) reporting for sharing throughout a company, this will enable the entire organization to make better, more consumer-focused decisions.


Results: Yogi clients who have made changes based on insights found in the platform have seen an average increase of 0.1 in star rating 8 months into engaging with Yogi, and a 0.2 increase in star rating within 16 months of engaging with Yogi. Current clients have also reported an average increase in conversion by 8%.

Applications

Yogi works with mid to large-size consumer brands, supporting product, marketing, and insights teams.


Some of our clients include:


Nestlé

Tropicana

Conagra Brands

Keurig

Colgate Hill's Pet

Hisense

Microsoft

Church & Dwight

Mars Petcare

IFF

Tapestry

Kohler

Wellness pet

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