Social app developers
Bring innovative social apps to market.
Take your social apps to the next level
As the amount of social data exploded, so did the number of social analytics companies.
To stand out in the crowded marketplace, social techs need to focus on developing insights,
not on data processing. DataSift provides the foundation you need to focus
on differentiating your product and never look back.
Play with clean and enriched data set and leave data processing to us to aggregate, normalize and augment the data for you.
Access the largest data set for analysis including Facebook topic data and aggregate data across a wide range of other data sources.
Trust us with reliable, real-time and high throughput delivery of mission critical data with a system designed from the ground up to handle big data scale.
Gain full access to the largest social data set
Facebook topic data gives you full access to what people are posting, sharing, and engaging on the entire Facebook platform. For the first time, you can access the largest social data set and build innovative features you could never imagine before.
Facebook topic data is multi-dimensional with 1000s of ways to provide new aggregated and anonymized social insights to your customers while upholding consumer trust.
Technology behind the most advanced
Human Data platform
DataSift’s platform connects to real-time feed of social data including Facebook topic data, uncovers insights with sophisticated data augmentation, filtering and classification engine, and provides the data for analysis with the appropriate privacy protocol required by the data sources.
DataSift eliminates complexity and time-consuming data post-processing so you can focus on delivering actionable insights. The use cases and possibilities we support include:
Brand reputation management
CONTENT & MEDIA ANALYSIS
Influential media analysis
INDUSTRY & TOPIC RESEARCH
Vertical applications (e.g. TV)
MARKET RESEARCH TO INFORM
CREATIVE & CAMPAIGNS
Creative and campaign design
Audience affinity analysis
We discovered a few common design patterns that provide reusable solutions to common use cases and challenges for developers building PYLON-based solutions.
BASELINING ANALYSIS RESULTS
Baselining is applicable whenever you'd like to compare a focused audience to a wider reference audience.
- Reveal demographic differences between your audience and the baseline audience
- Compare when your audience is active, as opposed to the reference audience
- Show how your audience breaks down across geographies in comparison to the reference audience
SUPER PUBLIC TEXT SAMPLES
Super public samples are applicable whenever you’d like to test and improve your interaction filters every time you create a new recording.
- Remove noise from your recordings
- Validate tagging rules you have included in your interaction filter
- Broaden your interaction filters to include further terms and topics
SHARE OF VOICE
Share of voice analysis is a common form of analysis typically used for brand monitoring (or brand health) and market research scenarios.
- See how a brand is performing in comparison to competitors
- See which demographic groups interact with which brands
- See how interaction with brands varies by location