Automation

The visual canvas for the ops team that thinks in flowcharts.

Make (formerly Integromat) is what you reach for when Zapier's linear trigger-action model isn't enough — when the DM you got needs to be classified, scored, fanned out to two CRMs based on the score, and reconciled against your shipping data. SociaHive plugs into Make as a webhook source plus an HTTP module, so every flow on every platform you have connected (Instagram, Facebook, Messenger, WhatsApp, LinkedIn, Twitter, TikTok, Telegram for automation; Threads, YouTube, Bluesky, Pinterest for scheduling) becomes a node on a canvas your team can read end-to-end.

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Why pair Make (Integromat) with SociaHive

Branching logic without spaghetti

Zapier's path/filter/router shape stops being readable around 5 branches. Make's scenario canvas stays legible at 50. For multi-platform social workflows that need to fan out to different CRMs, ESPs, or notification channels based on the lead's source platform and tier, the canvas is the difference between 'maintainable' and 'tribal knowledge'.

Data transformation as a first-class step

Make's mapping and aggregator modules let you reshape data inline — flatten a SociaHive DM payload, format the WhatsApp message body for Markdown, dedupe leads across Instagram and TikTok before they hit your CRM. With Zapier or n8n you'd often jump out to a Code module; Make handles most of it visually.

Cloud-managed without n8n's ops burden

Self-hosting n8n means you own the uptime. Make is SaaS, so you offload infrastructure but still get most of n8n's expressiveness. Good middle ground for teams that want depth but don't have a DevOps person on the social automation team.

Hit any SociaHive endpoint with the Make HTTP module

Make doesn't use MCP — it uses purpose-built modules per app. SociaHive integrates two ways: a Webhook trigger module for inbound events (DM lead, comment match, post published) and an HTTP module for outbound calls (send DM, schedule post, generate flow). The HTTP module hits the SociaHive MCP JSON-RPC endpoint with header auth.

Make scenario — HTTP module pointed at SociaHive
# Module: HTTP > Make a request

URL:           https://sociahive.com/api/mcp
Method:        POST
Headers:
  X-API-Key:        sk_your_key_here
  Content-Type:     application/json
  Accept:           application/json, text/event-stream

Body type:     Raw
Content type:  JSON (application/json)

Body:
  {
    "jsonrpc": "2.0",
    "id": "{{ scenario.executionId }}",
    "method": "tools/call",
    "params": {
      "name": "create_scheduled_post",
      "arguments": {
        "platform": "{{ 1.platform }}",
        "accountId": "{{ 1.accountId }}",
        "caption": "{{ 1.caption }}",
        "scheduledAt": "{{ formatDate(now; 'YYYY-MM-DD'); }}T09:00:00Z"
      }
    }
  }

Parse response: Yes (auto-parsed JSON for downstream modules)

A real workflow: classify, score, and route every newly-tagged contact

When a SociaHive flow tags a new contact (a real contact_tagged event), Make picks it up, classifies the intent of the contact's last message, fans out to the right downstream system, and writes a daily reconciliation report against your billing data. Multi-platform reach, no Code module required.

  1. 1Trigger: SociaHive Webhook fires contact_tagged when a flow applies a tag. Make receives the full payload — contactId, handle, platform, tag, source flow.
  2. 2Module: SociaHive HTTP → tools/call name=get_contact with the contactId. Returns the contact's last message + history (subject to your tier's CRM access).
  3. 3Module: OpenAI → Create Completion. Classify intent (sales / support / spam / press) by passing the last message. Output: a single intent label plus confidence.
  4. 4Router: split based on intent. Sales path → search HubSpot for the handle. Support path → create a Zendesk ticket directly. Spam → archive, end. Press → @founder Slack DM.
  5. 5Sales sub-path: if existing HubSpot contact → high-priority Slack to #sales-hot with a deeplink back to the SociaHive contact. If new → create the HubSpot contact with source_platform copied from the SociaHive payload, then send the welcome notification.
  6. 6Daily reconciliation (separate scenario): Schedule fires at 03:00, Stripe → list new orders, SociaHive HTTP → list_contacts (feature-flag permitting) for the last 30 days, Make's aggregator joins on email, results write back to a Google Sheet for the weekly review.
Make scenario diagram (text representation)
[ SociaHive Webhook ] → contact_tagged, any platform
       │
       ▼
[ SociaHive HTTP: get_contact ] → fetch full contact + last message
       │
       ▼
[ OpenAI: classify intent ] → sales | support | spam | press
       │
       ├── (sales) ────────┐
       ▼                   ▼
[ HubSpot: search ]   [ Slack #sales-hot ]
       │
       ├── (existing) → [ Slack: priority alert ]
       └── (new)      → [ HubSpot: create contact ]

       ├── (support) → [ Zendesk: create ticket ]
       ├── (spam)    → [ archive, end ]
       └── (press)   → [ Slack DM: @founder ]

# Daily reconciliation (separate scenario):
[ Schedule: 03:00 daily ]
  → [ Stripe: list orders, last 24h ]
  → [ SociaHive HTTP: list_contacts, last 30d ]
  → [ Aggregator: join on email ]
  → [ Google Sheets: append row for weekly review ]

# Note: list_contacts and get_contact are gated by the CONTACT_CRM
# feature flag during phased rollout. If your account doesn't have
# CRM access yet, swap the get_contact step for a Webhooks by Make
# action that posts a message in your team Slack with the raw
# contact_tagged payload — same routing logic, fewer dependencies.

What You Can Do with Make (Integromat) + SociaHive

  • Visual scenarios with branching, iteration, and data transformation built in
  • Hit any SociaHive endpoint via webhook trigger or HTTP module — no waiting for a native node
  • Cloud-managed (no servers to run) but with the depth of self-hosted tooling
  • Audit-ready: every scenario run logged with full payload, retried, replayable

How to Connect Make (Integromat)

1

Create Your SociaHive Account

Sign up at sociahive.com and connect your Instagram Business or Creator account. No automation credentials needed yet.

2

Find Make (Integromat) in Integrations

Open your SociaHive dashboard, go to Settings > Integrations, and select Make (Integromat) from the Automation section.

3

Authorize Make (Integromat)

Click "Connect" and complete the Make (Integromat) authorization flow to grant SociaHive read and write access.

4

Set Up Your Make (Integromat) Workspace

Start with a SociaHive Webhook trigger module — copy the webhook URL into your SociaHive workspace's webhook settings. Test the trigger by firing a real DM event before you build downstream modules; Make's data viewer shows the full payload so you can map fields confidently.

5

Test Your Make (Integromat) Connection

Send a test DM to your Instagram account and verify the data flows into Make (Integromat). Check that triggers, events, and data mapping work as expected.

Use Cases with Make (Integromat)

Other Automation Integrations

Frequently asked questions

Does Make have a native SociaHive module?+

Not yet — Make does not currently expose a published native SociaHive module. The supported path today is the HTTP module pointed at SociaHive's MCP endpoint, plus inbound webhook subscriptions for events SociaHive emits (contact_created, contact_tagged). The HTTP module gives you the full tool surface — schedule posts on any of 9 platforms, build flows on any of 8 automation platforms, pull analytics. (Contact CRM and destructive deletes sit behind feature flags during phased rollout.)

How is Make different from Zapier and n8n for SociaHive workflows?+

Zapier wins on speed-to-first-Zap and app catalog. n8n wins on self-host and price for high-volume teams. Make wins on the middle ground: cloud-managed (no servers) but with branching, iterators, aggregators, and inline data transformation that Zapier can't match without dropping into a Code module. Pick Make when your social automation needs more than 'when X, do Y' but you don't want to own n8n's uptime.

Can Make handle multi-platform fan-out without a separate scenario per platform?+

Yes — that's exactly its strength. One scenario triggered by SociaHive's webhook can branch on the platform field and call the SociaHive HTTP module with platform-specific payloads (longform LinkedIn, threaded Twitter, carousel Instagram) in a single run. The router and iterator modules make multi-platform fan-out a 5-module flow rather than 9 parallel scenarios.

How much does running SociaHive scenarios cost in Make?+

Make meters by 'operations' — every module run counts as one. A typical multi-step DM-lead scenario (webhook + classifier + router + 2 actions) costs ~5 ops per inbound lead. The Make Free plan covers 1,000 ops/month; Core plan covers 10,000. SociaHive's tier limits are independent — your Growth/Scale/Agency plan governs how many SociaHive actions per month you have, regardless of how Make runs them.

Will Make publish posts or activate DM flows without me approving each one?+

It depends on how you wire the scenario. Make itself is a workflow engine — there's no human-in-the-loop confirmation at the Make layer; whatever modules you connect will run on schedule. SociaHive still applies its tier limits, rate limits, audit log, and destructive-action confirmation rule for visible-to-others operations like publish_post_now and activate_flow — which means a Make scenario calling those tools will receive a pending_confirmation envelope back, not an immediate execution. To add a manual approval step, insert a Slack module that posts to a channel and waits for a 👍 reaction before the SociaHive publish module fires. (DMs themselves are sent by SociaHive's runtime when an active flow matches an incoming webhook event; Make schedules and activates the flow, the platform's events drive when DMs go out.)

Comparing AI tools for social media automation? See the full hub: MCP for social media automation — or the developer-focused product page at /mcp.

Connect Make (Integromat) with SociaHive

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