Sprinklr
Sprinklr runs social publishing, listening, customer care and advertising for large brands, and its reporting and case APIs return messages, care cases, listening data and campaign results. Moving them into the Lake gives CX and marketing leaders one place to relate social care workload and public sentiment to purchases, churn and other service channels.
- Category
- Content, Social & SEO
- Type
- Social media management
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
02Data
What you can sync.
- Reports
- Cases
- Messages
- Listening data
- Campaigns
Bring Sprinklr reports into your Lake and ask an AI Mind which content moves the numbers.
Need more? Name any other Sprinklr data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
Sprinklr uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Sprinklr if you need help.
04Questions
Questions you can answer.
Once Sprinklr data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How long do social care cases take to first response and resolution by channel?
- Which listening topics are growing fastest in negative sentiment this month?
- Do customers who complain on social churn more than those who contact us by phone?
- Which campaigns produced the most inbound care messages?
05How it works
How it works in DataMind.
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Pick Sprinklr.
Open Lake, pick Sprinklr in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Sprinklr API docs.
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Answer a few questions.
The AI reads the Sprinklr documentation, then asks which credentials you will use, which data to sync (for example reports and cases), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Sprinklr data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Sprinklr.
Sources teams join with Sprinklr in the Warehouse, each one connected the same way.