Kaava
Kaava interprets web-based communications to identify trends and sentiments related to brands, products, and campaigns. Studies provide quantitative and qualitative trends emerging from qualified sets of relevant online communication within the specific context of project topic(s). Quantitative findings representing topical and brand breakdowns and successive measures support qualitative analysis containing observations, findings, and insights surrounding target audience opinions, experiences, needs and expectations.
With well over a decade of experience working with online communities and dialogue, Kaava has developed a deep understanding of and sensitivity to the source that is brought to bear on all levels of our technology, approach, and study development.
- Kaava's vast experience with online dialogue, and our own efforts toward automation, have shown a direct inverse relationship between automation and accuracy - higher level of automation, lower level of accuracy.
- Kaava recognizes that context (with all of its associated movement and nuance) is central and foundational to the value and effectiveness of the final study reports.
- Spidering for source sample does not address the signal-to-noise ratio inherent in CGM -often fueling misrepresentation of context.
At Kaava we:
- Spider to identify significant deposits of topically relevant online communication.
- Assess communications for optimal mix of participants, ongoing activity, and quality of content.
- Crawl the qualified sources for project samples to identify, measure, and illuminate specific data and insights
- The Kaava Tuner, is the only end-to-end professional research tool & platform designed specifically for the unique source that is online consumer dialogue.
Contact
199 Main Street, Suite 708, White Plains, New York
Additional Documents (if any)