Messenger Platform
by Meta
Businesses that sell or support through a Facebook Page handle that work in Messenger, and the Messenger Platform returns the Page's conversations, messages, participant profiles and messaging metrics. In the Lake, conversation timing and outcomes can be measured against ad spend, orders and support cases, which the Page inbox alone does not show.
- Category
- Communication
- Type
- Messaging apps
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
02Data
What you can sync.
- Conversations
- Messages
- Page inbox
- User profiles
- Message metrics
Report on Messenger Platform conversations with delivery and response times, next to the teams behind them.
Need more? Name any other Messenger Platform data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
Messenger Platform uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Meta if you need help.
04Questions
Questions you can answer.
Once Messenger Platform data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- What is the median first response time to new Messenger conversations by hour of day?
- How many conversations started from click-to-Messenger ads led to an order within seven days?
- Which days bring the most new conversations, and are we staffed for them?
- What share of conversations go unanswered for more than 24 hours?
05How it works
How it works in DataMind.
-
Pick Messenger Platform.
Open Lake, pick Messenger Platform in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Messenger Platform API docs.
-
Answer a few questions.
The AI reads the Messenger Platform documentation, then asks which credentials you will use, which data to sync (for example conversations and messages), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Messenger Platform data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Messenger Platform.
Sources teams join with Messenger Platform in the Warehouse, each one connected the same way.
07Related
