Brandwatch vs Kompyte

• The breadth of the data it captures is impressive, and you are only limited in the tool by your own knowledge of how to use the system. Therefore, if you know how to create smart, tightly structured queries, how to create smart rules to help save manual search and filing, already have a set of keywords to plug in to your query, and know how to use the more advanced chart visualizations beyond the stock ones they provide, you should be in great shape.
• The range of historical data, as well as the ability to access it in detail is a definite plus that puts them above competitors if you're looking for long-term historical trends.
• The visuals are basic, but look nice, and the ability to export most of the graphs and charts is very useful when putting together presentations.

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• Social/Blog Monitoring: We can see how many social/blog posts our competitors are making, how many engagements (likes, shares, etc) they receive, and what their engagement rate is.
• Competitor Page Monitoring: We are able to see before and after pictures of web pages after our competitors them. This feature enables us to quickly and easily see competitor's changes in copy, creative and pricing.
• Benchmarking: Kompyte benchmarks us against our competitors for effectiveness in SEO and paid ads.

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• Very steep learning curve- good luck training casual users on the difference between a query, a rule, a category etc
• Lack of access to FULL historic data is a serious drawback- populating that data takes a minimum of 24 hours and incurs additional costs
• Volume limits mean you may have to build your query to exclude mentions that may be useful in getting the full context of the situation

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• Kompyte has a tool that is supposed to track ads after specific keywords are bid on by competitors; however, competing platforms offer greater visibility and analytics for this function.
• The Notebook function in the tool is meant to be a repository for notes and mentions across the organization; however, it doesn't seem to be automatically updated and it requires a lot of manual processes to function.
• The SEO analysis is reliant on keywords that we provide - the tool would be much more valuable if it pulled in raw organic data outside of what we are specifically targeting or tracking.

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• At a high level, the biggest impact the Brandwatch Analytics has had is giving us the ability to quantify the impact of social media for our clients. In the world of social, ROI is defined and interpreted differently across clients (particularly where it's more difficult to apply traditional ROI) - so this may mean reporting on earned media for some, while for others it's measuring increasing engagements or social mentions over time.

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• Kompyte has helped save time by automatically streamlining the process of monitoring updates our competitors make across their pages.
• The tool offers broad insights that are valuable to multiple teams across the organization.
• Pricing is based on licenses and the volume/breadth of scans you want the tool to make - you pay for what you need.

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