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We start with the business questions around your consumer needs and wants. Then, we identify relevant data and use the appropriate technology to answer those questions - not the other way around.
Contact UsAbout us
We start with the business questions around your consumer needs and wants. Then, we identify relevant data and use the appropriate technology to answer those questions - not the other way around.
About usSubject matter experts play a pivotal role in data utilization, modeling, and extraction. Our experts complement data scientists' skills and technology's power to transform analysis into winning actions.
Did you know the Rubik's cube has about 43 quintillion permutations? Human language is just as complex, and the “pet language” has unique vocabulary, relationships, and nuances.
PetThinQ’s proprietary approach tells you what pet parents think, say, feel, and do.
Did you know the Rubik's cube has about 43 quintillion permutations? Human language is just as complex, and the “pet language” has unique vocabulary, relationships, and nuances.
PetThinQ’s proprietary approach tells you what pet parents think, say, feel, and do.
Going beyond general dictionaries
We incorporate unique pet vocabulary and use pre-processing steps that maintain meaning and context. We have processed +70m words, making +100k corrections, including +9k unique words not found in general libraries used by other text analytics companies. You can see the implications of incorrect brand names in brand mentions/tracking in the example on the right.
We incorporate unique pet vocabulary and use pre-processing steps that maintain meaning and context. We have processed +70m words, making +100k corrections, including +9k unique words not found in general libraries used by other text analytics companies. You can see the implications of incorrect brand names in brand mentions/tracking in the example below.
Know more...Going beyond sentiment analysis
We classify sentences of similar meaning into "themes" based on a combination of semantic relationships and funneling the business questions we want to answer. In the example on the right, you can see how pet parents frame their problems and the behaviors they demonstrate. This is more insightful than contextual sentiment analysis, where hidden thoughts can be missed.
We classify sentences of similar meaning into "themes" based on a combination of semantic relationships and funneling the business questions we want to answer. In the example below, you can see how pet parents frame their problems and the behaviors they demonstrate. This is more insightful than contextual sentiment analysis, where hidden thoughts can be missed.
Know more...Going beyond quantitative analysis
Analyzing sentences further in the context of these “themes” provides depth and clarity. In the example on the right, you only see the subtle differences in behavior due to human interpretation. This gets missed in a purely quantitative or technical approach. We combine quantitative analysis with category knowledge to uncover qualitative insights.
Analyzing sentences further in the context of these “themes” provides depth and clarity. In the example below, you only see the subtle differences in behavior due to human interpretation. This gets missed in a purely quantitative or technical approach. We combine quantitative analysis with category knowledge to uncover qualitative insights.
Know more...Going beyond dashboards
We combine our category knowledge and service design to present insights to you. The process is similar to designing the user navigation for an app where you empathize with the persona and resolve their pain points to make their experience seamless. We apply the same concepts when presenting actions that remove friction from your customers' buying journey.
We combine our category knowledge and service design to present insights to you. The process is similar to designing the user navigation for an app where you empathize with the persona and resolve their pain points to make their experience seamless. We apply the same concepts when presenting actions that remove friction from your customers' buying journey.
Learn more
- Andrew Ng
Our dedicated focus on the pet category gives us a natural data-centric approach, Andrew Ng's food analogy is helpful in summarising this, for example:
Understanding the questions you want to
answer -Understand your pet's situation and needs - business questions you want answer.
Identifying right data -Identify the right ingredients - the right type, quantity and quality of data.
Building models and Inference -Getting the nutrition from those ingredient - model predictions and inferences.
Deeper insights -Delivering the calories/energy your pet needs - actionable insights.
- Andrew Ng (author)
Andrew Ng's food analogy is helpful in summarising our pet category (data centric) approach:
- Andrew Ng (author)
Andrew Ng's food analogy helps us summarize our data-centric approach:
- Andrew Ng (author)
Andrew Ng's food analogy is helpful in summarising our pet category (data centric) approach:
