Barking up the right tree: Discover what pets and owners really want with SUMMETIX

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In the pet food market, understanding customer sentiments is key to staying ahead of the curve. At SUMMETIX, we’re transforming how pet food retailers and manufacturers engage with their customers by leveraging real-time data analysis and advanced Argument Mining technology. As pet lovers, we all understand the importance of feeding our furry friends the best nutrition possible to ensure their health and happiness.

The Challenge:

Pet owners have diverse and strong opinions on pet food, often influenced by health concerns, dietary trends, and cost. Recognizing these insights is crucial for brands to align their offerings with consumer needs and preferences.

Our Approach:

SUMMETIX’s platform taps into vast datasets, extracting and classifying opinions from platforms like YouTube. We also dive deep into customer experiences at pet store branches across Germany, identifying preferences and apprehensions surrounding different diets and brands.

Key Findings:

  • Dietary Preferences: Grain-free diets are a hot topic, with many seeking hypoallergenic options to address allergies related to grains, sugars, and additives.
  • Quality vs. Cost: There’s a split between those willing to invest in high-quality food and those looking for budget-friendly, homemade alternatives.
  • Customer Experience: Our analysis highlighted that 53.85% of negative reviews focused on high prices, while 17.95% were concerned with the treatment of animals in stores.

Such insights empower our clients to adapt their products and strategies, improving customer satisfaction and loyalty. From enhancing product development to refining public relations efforts – SUMMETIX is your partner in making informed, data-driven decisions.

Join us in reshaping any industry by truly understanding what matters most to your business. Ready to explore how our solutions can benefit your brand? Let’s connect! Receive more information on this study and more by filling out the form here.

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