Introduction

Behamics, a technology partner of MoEngage, is a leading revenue optimization platform that combines behavioral science with AI to minimize cart abandonment and reduce product returns for E-commerce businesses. Unlike conventional analytics tools that capture simple binary events, Behamics evaluates every user session in real time and assigns intent scores based on full-funnel behavioral patterns.

MoEngage <> Behamics Signals

The Behamics Signals product translates raw behavioral data—including AI-detected patterns such as rage clicks, accidental add-to-cart actions, sustained product interest, and hesitation signals—into prioritized, decision-ready events.

Integrating Behamics Signals with MoEngage allows you to:

• Sync real-time AI-scored behavioral signals into MoEngage as fully structured custom events, preserving all intent metadata.
• Trigger MoEngage journeys, campaigns, and automated flows directly from Behamics events such as rage_click_detected or accidental_add_to_cart.
• Enrich user profiles with behavioral attributes transmitted alongside each signal, keeping CRM data up to date without manual imports.
• Filter and segment users in MoEngage based on specific signal types to enable behaviorally differentiated marketing journeys.

Use Cases

Integrating Behamics Signals with MoEngage helps you with the following use cases:

• High-intent abandonment recovery: Identify users whose abandonment signals genuine hesitation and trigger a MoEngage flow with behaviorally informed nudges, such as social proof or urgency messaging.
• Rage-click retention: Detect UI frustration signals and automatically trigger a support-oriented push notification or in-app message to offer assistance and prevent churn.
• Precision VIP segmentation: Sync advanced intent signals to MoEngage to build loyalty segments that prioritize users showing genuine long-term purchase intent over casual browsers.
• Behavior-based cross-selling: Leverage AI-detected interest in specific product categories to trigger personalized campaigns recommending complementary items.
• Returns prevention: Use detected low-confidence purchase signals to trigger pre-purchase reassurance flows, such as size guides, via MoEngage to reduce return rates.

Integration

Step 1: Request a Dedicated Endpoint from MoEngage Support

To initiate the integration, you must request a target for the Behamics data and perform the following steps:

1. Contact MoEngage Support and specify your customer_id.
   Note: This ID serves as the primary merge key for associating Behamics events with MoEngage user profiles.
2. MoEngage Support will provision and return a dedicated webhook endpoint URL.
3. Share this URL with your Behamics point of contact for platform configuration.

Step 2: Retrieve Your Authentication Credentials

The integration uses Basic Authentication via HTTP request headers. To find your credentials, perform the following steps:

1. On the left navigation menu in the MoEngage UI, go to Settings > Account > APIs.
2. Copy the ID under Workspace ID (earlier app id).
3. In the API keys section, copy the API key on the Data tile.
   

Step 3: Generate the Basic Authentication Token

To generate the basic authentication token, perform the following steps:

1. Open an online Basic Auth Header Generator tool.
2. Use your Workspace ID as the username.
3. Use your Data API Key as the password.
4. The tool generates a value in the format: Basic {base64_encoded_credentials}.
   For example: Authorization: Basic bW9lbmdhZ2VfYXBwX2lkOmRhdGFfYXBpX2tleQ==
5. Share this token with the Behamics team to secure the outbound webhook.

Inject the Behamics Snippet by Using HTML

Inject the Behamics snippet into every front-end page of the shop, including the Thank You or Order Confirmation page, to properly track the user journey. It is recommended that you inject the Behamics snippet early, for example, in the <header> section of the shop.

Depending on the shop's platform, there are multiple ways to inject the snippet. Perform the following steps to inject the Behamics snippet using HTML:

1. Identify a secure connection to the shop's source code directory. You can use a File Manager, FTP access, SSH access, or the platform's administrator account.
2. After you gain access to the source code directory, locate the header HTML file so you can edit it.

3. In a text editor, open the header HTML file, and then paste the following Behamics snippet one line above the closing </head> tag:

   Java

   <script type="text/javascript" src="https://cdn.behamics.com/yourshopdomain/behamics.js"></script>
   </head>

   Note: If the header HTML file is part of the Thank You or Order Confirmation page, you can skip step 4.

4. To inject the snippet into a separate Thank You or Order Confirmation page, you must repeat step 2 and locate that specific file, and then paste the Behamics Snippet one line above the closing </head> tag as well.

Payload Structure

Behamics transmits event data via HTTPS POST using a JSON payload. The  following is the standard payload structure:

{
  "customer_id": "user_98765",
  "event_name": "Signal Session Scored",
  "updated_at": "2026-02-20T16:16:50Z",
  "page_name": "Summer Collection - Item 42",
  "event_details": {
    "session_score": 87,
    "session_duration_seconds": 214,
    "scored_at": "2026-02-20T16:16:50Z"
  },
  "first_name": "Jane",
  "last_name": "Smith",
  "email": "jane.smith@example.com",
  "phone": "+15550109988",
  "birthday": "1992-05-15",
  "gender": "female",
  "city": "San Francisco",
  "state": "California",
  "country": "USA",
  "user_attributes": {
    "loyalty_tier": "gold",
    "signup_source": "marketing_email",
    "preferences": ["outdoor", "running"]
  }
}

Best Practices

• Consistent identifiers: Always use the MoEngage unique_user_id as the Behamics customer_id to ensure accurate profile updates.
• Payload communication: Verify custom mappings with MoEngage Support before finalizing the Behamics webhook setup to prevent data loss.
• Secure storage: Keep your Base64-encoded Basic Auth token in a secure location and share it only with authorized Behamics personnel.

Rate Limits

To maintain platform stability, MoEngage limits ingestion of Behamics data to a maximum of 500 requests per second (RPS) per workspace. If your workspace exceeds this limit, MoEngage returns an HTTP 429 (Too Many Requests) status code.

Refer to Behamics default retry policy to understand how rate limiting affects your data flow.

Retry Exhaustion: If Behamics exhausts all retry attempts for a batch of data, you must contact the Behamics Support Team to replay the failed requests.