Oracle DaaS vs. MutualMind (discontinued) vs. Sprinklr Insights

As a small company, there is a bit critical to choose Daas as the plans are high and support is available but not at that much priority. A company that wants to invest in the future can go with that. As every software has it's own pros and cons using the Oracle Daas we can build the best future sales planning and DB integration with our consumers to support worldwide level code.

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Sprinklr Modern Research offers us a good amount of coverage when we want to search for our chosen keywords or brand mentions across the wider social & news landscape. Certain platforms are of course harder to track than others, while others offer a huge amount of opportunity and Sprinklr does a fantastic job of visualising this. We find that image recognition is one area where there is room for improvement.

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• Customer Service
• Transparency
• Connect ability

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• MutualMind gives us a view into the reach of social content we produce on behalf of our advertisers and the engagement that content generates with shoppers.

• Product Insight — Being able to add in our products so we can have positive and negative insights.
• Community Insights — We were able to watch out community and see what they were talking about.
• Crisis Monitoring — Being able to have dashboards that would monitor for crises across the internet.

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• Prices and plans are higher not for mid level companies.
• Not supported to all programming languages.
• Need to go with more detail in user interface.
• Provide more support to customers.

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• MutualMind gauges sentiment around social conversations but does so with the standard margin of error found in most social analytics products. The nature of human conversation makes it difficult for a machine to categorize sentiment with 100% accuracy. MutualMind gets sentiment right between 50% to 70% which is within acceptable industry averages for this type of product. With additional tuning (which MutualMind provides) the accuracy levels will increase.

• Include more sources in listening, every time we share listening data with a wider team we also make them aware of listening limitations as our data is very often challenged
• 'Uncategorized' age category in demographics for listening - it's always a majority which doesn't look great
• Overall the main feedback is that there is so much data available but it's very difficult to extract any insights from listening/benchmarking. Some inspiration/advice would be much appreciated.

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Reliability and flexibility (MutualMind's willingness to jointly produce new functionality)

As a company that's only 3 years old, MutualMind's toolset is quite usable but it could use some tweaks in the user interface, which they are constantly working on.

The interface is user-friendly and quite intuitive. However, the tool is very complete and the app can seem a bit dense at times with a lot of different places and categories. It just takes a bit of time to adjust before being a great tool

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During a recent upgrade period, MutualMind had a small window of unavailability. I am confident they have addressed the root cause and do not foresee any future issues.

The product's performance has improved greatly in the last year and we anticipate seeing additional improvements in coming months based no planned infrastructure changes.

MutualMind has always been quick to address any issues or questions we have.

We have had some good experiences, especially during renewal periods, but support has suddenly disappeared when the renewal is completed. Also, while we have multiple teams, those deemed more important or more likely to expand their purchase are given more attention. This decision comes from Sprinklr, not internally, so they are prioritizing support for teams which are actually not the teams paying the majority of the money for the service.

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Not really...MutualMind was very professional and helped with all stages of our setup and implementation.

Better in every way, less modeled and more accurate audience segments

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As mentioned before, Radian6 and Sysomos Heartbeat.

They are not included in all the things. It is integrated with different AI technologies. I like working with the Sprinklr team and building my own dashboards for new initiatives. The insights presented about the market are unmatched. See what people say about my brand or category like the hashtag research function for Instagram and Twitter. It would even suggest hashtags. Ease of use—from bullion coding/keyword building to analytics dashboarding

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• Costs are increase but production is also increase.
• Need more UI features.
• Better DB integration provide more support to the code.

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• By showing increases in engagement and share of voice (defined as the amount of content generated for our advertisers versus the amount of content generated for their competitors over time) we are able to correlate content to incremental sales data provided by our advertisers.

• It has definitely improved our analytical insights by making the platform flexible enough to be able to deep dive and pull up a report on any metric and drive it.
• Real-time data is the boss of all. It helps us fix things with engagement team before the damage is done.
• User friendly UI has made it easy to operate and increase productivity.

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