- Influencer bio search - detailed assessment of Twitter profiles
- Authority scoring - filters out search results to identify influencers talking about a trend or brand
- Facebook page analysis - fan insights, sentiment and top followers
- Sentiment scoring could be more qualitative - typically the majority of sentiment is categorized as neutral
- Logo search - searching social content by brand icons helps filter out irrelevant content
- Context around negative sentiment - some words are categorized as negative when they are actually positive
Sysomos Map does not provide much value when looking into paid media activity, user emotion or channel activity beyond Twitter and Facebook.
- Searching specific terms on Twitter and forums
- Tracking competitor actions
- Finding trends in conversations
- Expand forum capabilities - improve filtering for them
- Improve reddit integration
- Create more filters
- Ad-hoc research. During planning phase of a campaign it is a helpful tool to understand the marketplace, key influencers and topics that engage a target demographic.
- Post-event hashtag analysis. Rapid generation of reporting on efficacy of a campaign, key voices, topics that resonated, viral reach and more.
- User interface. Friendly and accessible enough to minimize training needs and enable decentralized access, though we have found some hand-holding is still required to get the most out of the platform.
- Limited API access to some networks. Though this is hardly unique to Sysomos, the limited APIs provided by closed-networks like LinkedIn and Facebook, and others like Instagram, often disappoint our users, who may have unrealistic expectations as to what we can report on. In reality, Sysomos MAP is highly focused on Twitter, which is often not our core channel. Though Sysomos is bound by the limitations of the APIs provided, perhaps some creative innovation would enable limited but interesting observations. Identifying LinkedIn statuses that were simultaneously pushed to Twitter, for example, gives a window into that otherwise private world. Scraping of LinkedIn's trending topics might be revealing.
- Sentiment analysis is automated and therefore only moderately accurate. Some advanced customization might enable us to get better results, perhaps by uploading custom dictionaries of positive, negative or neutral terms. For example to a loss-adjuster or insurer, many terms like flood, bankruptcy, damage, fraud risk etc may in fact be used positively as part of a marketing proposition or work undertaken ("X company insurance saved us from awful disaster"). Automated systems will always struggle with these. I wish I could make mass-edits to such inbound comments that would learn and persist.
Limited at measuring closed networks such as Facebook and LinkedIn.
- Influencer and communities identification is definitely a strong suit for the tool.
- Quick analytics.
- Historical data back a year.
- It does not provide a visual for volume over time.
- The visuals aren't excellent, and would require an export to create better looking graphics.
- The interface isn't intuitive and sometimes requires clicking around to find things that seem like they should be under a different title.
- Brand mentions
- Most retweeted posts
- Comparison of one Twitter account to another
- Expanding to other platforms, namely Instagram
- Being able to weed out media members/organizations to find social influencers
- It is particularly good at being able to look backwards in time at conversations.
- The information generated from queries is rich, and comes off in real time.
- The graphs generated along with data as spreadsheets is intensely rich with useful information.
- Sysomos MAP does take some significant ramp up time to get a comfortable level of usability due its richness and sheer power of scraping from billions of conversations and web data.
- Sysomos MAP needs better tutorials and tools to help users quickly become adept at using.
- Sysomos should offer longer trial periods.
- The entry price is quite [high] compared to other tools that are now offered.
- The pricing structure is makes entry tough for many businesses and Sysomos could do better by offering alternative pricing and use possibilities.
- It's good for major brands and research (especially consumer facing)
- It's good for establishing share of voice
- It's good for identifying trends over time - focusing in on what caused conversations spikes.
- Their influencer/klout score algorithm is worthless - it caps out at 10 so the New York Times and Jo Schmo gamer dude and Justin Bieber all have the same score.
- The Boolean builder can be frustrating, it will tell you there is an error, but gives you no indication of where. In a complex string it can take forever to figure out what you messed up.
- Twitter listening only goes back one year. If you ever need to compare something year over year, without anticipating the need in advance and downloading reports, you're screwed.
- Identify most retweeted and most authoritative tweets. This helps us understand why and how conversations go viral and who is influencing the overall sentiment.
- Show volume trend and popularity. A snapshot overview on how conversations are evolving throughout a specific date range. This helps us analyze relevant spikes and predict future analysis.
- Build queries and analyze everything and anything. Within Sysomos, we can build infinite queries and also analyze competitive share of voice.
- Sentiment. The sentiment analysis in Sysomos is not as accurate as it is in other third party tools where you can apply/modify sentiment manually.
- Any link of content analyzed within Sysomos should open on a different tab.
If you are looking for a monthly reporting tool, you don't need Sysomos. This is a tool you want to use everyday to understand what people online are saying on a daily basis.
- Tracking success of a social media or PR campaign by looking at the growing number of mentions of a company name, hashtag or topic over time
- Doing new business research by discovering strengths and weaknesses of an organization based on social media chatter around their products or services or discovering trends in their industry
In both occasions, I found Sysomos MAP to be incredibly helpful. Being able to save searches and return to them over time was great, though I did wish for the ability to get a regular update mailed to me with new hits/data. The interface isn't the most user-friendly/visual in this space, but the quality of the data and speed of the product made that worthwhile for me. Their customer service is also top-notch: very helpful, friendly and quick to respond.
- Huge amounts of data available across multiple channels (blogs, social. web, etc)
- Price was not too expensive for my agency's needs
- Speed of being able to quickly run searches and produce answers
- Email alerts of recurring reports would be helpful
- Speed in adding new social networks is sometimes slow
- Visuals were lacking (downloadable reports weren't easy to read or print, graphics needed to be re-created by our designers to be client-friendly)
- Quickly allows us to pull basic data.
- Very easy to use if you know how to construct Boolean queries.
- Flexibility to quickly update keywords / queries.
- Customer service.
- Needs more and faster growth for shared / owned channel analysis.
- It is twitter heavy. Pulling from more social sources would be ideal.
- Utilizes Boolean queries which enables user to build very specific, complex searches.
- Returns search results in near real-time (vs. several hours or days like competitor products).
- Easy-to-understand, intuitive platform. Easy to navigate through listening results.
- Fairly expensive.
- Customer service response time can be inconsistent.
- This platform was particularly useful in organizing Twitter data. It accurately pinpointed the tweets' impressions (positive, neutral, negative), saving me time I would have spent sorting.
- The buzzgraph feature has a lot of potential in providing insight leads. I found that the 2nd, 3rd, etc. searches using combinations of buzzgraph words often led to the heart of a question or conflict I was researching.
- The sentiment graphs were very useful as timelines of when an issue was hot. More importantly, it allowed the user to tell how long that issue remained popular as measured by the # of social media posts and news reports.
- Searching through forum posts was a painful experience because the platform had trouble sorting through spam. I would find myself reading through duplicate spam posts rather than original content/posts.
- I wish there had been an option to search through Instagram.
- I wish there had been auto-detection when it came to boolean logic errors. It was frustrating locating where I had missed quotations or a parentheses when I made very specific searches.
- The tool provides quality information on demographic and geographic breakdowns.
- The tool's capabilities of quickly altering boolean queries and the versatility in search and filtration is especially nice to have.
- For whatever reason, conversation numbers do not match similar tools using the same search queries.
- Exported data could be organized in a fashion that would make information easier to analyze.
- Identifies conversation around a product or service
- Tests brand perceptions around the 5 W's & how (ex: who is talking about my product? where are they talking? how are they describing it?)
- Influencer search on Twitter should be better. MAP weighs too much on the volume of a retweet, so it sees spam bots as influential
- Like all text analytics tools, the software does not understand sarcasm in speech
- Twitter aggregation into one place.
- In-site previews of content.
- Comparison analysis of Twitter handles.
- Purchase intent.
- Passion intensity assessment.
- Multi-word assessment. Understanding two word phrasing rather than only keywords.
- Sorting keywords by positive and negative connotations.
- Identifies key social conversations around a brand across social media, blogs and traditional news sites
- Helps to calculate estimated impressions for Twitter campaigns
- Shows buzz around keywords for up to 2 years (only 1 year for Twitter)
- Less information is available for Facebook (only up to 6 weeks) though this is due in part to Facebook's restrictions
- Would like historical data for longer periods of time
- Using Boolean syntax, we are able to tap into what conversations are happening around the search set. Searches are keywords-based, but the Boolean capabilities allow us to filter the data set to drill down to precisely what we want.
- Although Boolean logic is a powerful way to filter large data sets, the syntax can be tricky to learn.
- For full-on sentiment analysis capability, Sysomos Heartbeat might be a better choice. In Hearbeat you can see what people are saying specifically. You can also alter sentiment (e.g. from negative to neutral). In MAP you cannot manipulate the data in this way.
- The user interface was very intuitive. This was important for us as we let others use the product without much training.
- Comprehensiveness of data was also excellent. The system caught a large number of blog posts, etc. This was augmented by the full Twitter fire hose.
- Sysomos also generated decent visuals. We did not have to export the data to Excel to get acceptable looking charts and graphs. The system generated graphs that we could re-use.directly with clients.
- Influencer identification. Influencer functionality is designed to tell us ho are the most influential people on a given topic. Sysomos was not great at this. It looked at someone's social graph and could tell us who a specific Twitter user is connected with, and how often they interact with these people. But it was not stellar it identifying who were the true influencers rather than those, for example, who just re-tweeted content from someone influential.
- This is an immature area. These tools are typically good at counting re-tweets, but not at identifying who the re-tweeters are. Influencer ID was a nice to have for us, rather than a strong requirement so we could live with this weakness.
Sysomos MAP Scorecard Summary
About Sysomos MAP
Sysomos MAP is a social research engine that is designed to deliver deep, actionable insights into the people and conversations that matter most to an organization’s brand. The vendor says MAP is key to making sense of social media data and using it to design the most effective social listening, content and engagement programs. This solution is focused on helping organizations identify key influencers, understand customer sentiment and track their social strategies over time.
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Sysomos MAP Technical Details