Sysomos MAP

Social Media Management Software

Software Profile & Review Summary

Sysomos offers two social listening/analytics products: Heartbeat and MAP (Media Analysis Platform). According to the Sysomos website, they are based on the same underlying technology, but are designed for different needs: Heartbeat is for day-to-day monitoring, and MAP is for in-depth research.

Based on the reviews on TrustRadius, all of their clients are agencies using the tool for client work. Agencies commonly use Sysomos MAP to understand consumer sentiment, perform competitive analyses, guide marketing strategy, quantify the ROI of agency efforts, and identify influencers. (Note: the company says more than 50% of their customer base is actually non-agency.)

Some of Sysomos MAP's customers include the following agencies/consultancies: VML, Fleishman Hillard, MSM Social, RPA, and A.T. Kearney.

*Vendor provided
Best used for: Market/brand research
Not as strong for: Identifying influencers
Most often compared to: Radian6
Customer focus: Agencies; Enterprises
Channels covered*: Twitter, Facebook, Google+, LinkedIn, WordPress, Instagram, Tumblr, YouTube, Vimeo, LiveJournal, Flickr, Reddit, Quora, Online news sites, Wikipedia, Daily Motion,, other video sites, Forums, Sohu, Trip Advisor, IMDB

Sysomos MAP Customer Distribution

Sysomos MAP Customer Distribution Pie Chart Source: (12) User reviews of Sysomos MAP on TrustRadius

Aggregate User Ratings of Sysomos MAP on TrustRadius

Source: (12) User reviews of Sysomos MAP on TrustRadius
Rating Attribute Sysomos MAP # of Reviewers Contributing to Rating Average SMMS Category Average
Likelihood to recommend 7.9 12 8.0
Likelihood to renew 8 10 7.6
Product usability 8 4 7.9
Product availability 8.8 4 9.2
Product performance 8.5 4 8.3
Support 8 5 8.5
In-person training 9.5 2 8.8
Online training 8.4 5 7.9
Implementation satisfaction 8.6 5 8.1
Analytics & Insight 7.7 3 8.3
Data Collection 5 3 7.8
Publishing N/A N/A 8.7
Engagement 3.3 3 7.9

Summary of Sysomos MAP Reviews

Source: (12) User reviews of Sysomos MAP on TrustRadius
Sysomos MAP Pros Sysomos MAP Cons
Users say the platform is intuitive and easy to use, especially for those familiar with Boolean queries.
Influencer identification
The influencer identification functionality is not very effective. Users say it's too heavily focused on Twitter and retweets and therefore returns a lot of individuals who aren't in fact influential.
Flexibility through Boolean search queries
Through Boolean syntax, users can create (and easily adjust) complex search queries to get the right data. Users also like the ability to segment on demographic and geographic data. However, some users would like to see a better user experience around Boolean logic errors.
Sentiment analysis flexibility
While sentiment analysis is problematic in all tools, users cannot modify sentiment manually in Sysomos MAP.
Nice visuals
Users say the charts and graphs generated by the tool are popular with clients, and useful in identifying trends and showing popularity.
Data breadth
Sysomos is excellent at Twitter data, but users would like to see better coverage of other channels. Also, Twitter data only goes back one year; users would like to see historical data from farther back.

Sysomos MAP Response to Reviewer Feedback

Flexibility through Boolean search queries: With our new UI coming this year, creating Boolean search queries will be even easier and give more assistance to make sure the logic is sound.

Influencer identification: We hear you. To provide some background, each social channel Sysomos covers is analyzed for influence on it's own and based on metrics from that specific network. We also have a team of data scientists working on improving this functionality so you can not only identify influencers, but also identify influencers within sub communities.

Sentiment analysis: Sentiment is fully customizable within Heartbeat allowing users to modify data as needed. Unfortunately, at this time MAP users cannot manually modify sentiment.

Data breadth: We are actively working on expanding the breadth and depth of our data and analytics across all sources.