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Analytics for Make
Make (formerly Integromat) excels at multi-step visual workflows. BetterMeter webhooks feed analytics events into Make scenarios where you can branch, filter, and route data through conditional logic — far beyond what simple trigger-action tools allow.
Multi-step scenario: smart traffic response
A single webhook from BetterMeter can trigger a branching workflow that responds differently depending on whether the traffic is human, bot, or AI-referred.
Make scenario — conditional traffic response
[Webhook: BetterMeter Traffic Spike]
│
├─ [Router]
│ │
│ ├─ Filter: is_bot = true
│ │ └─ [Cloudflare] Block IP range
│ │ └─ [Slack] Post to #security
│ │
│ ├─ Filter: source contains "chatgpt|claude|perplexity"
│ │ └─ [Google Sheets] Log AI referral
│ │ └─ [Slack] Post to #ai-traffic
│ │
│ └─ Filter: is_bot = false AND human traffic
│ └─ [Slack] Post to #growth
│ └─ [Trello] Create "Investigate spike" cardWebhook payload structure
BetterMeter webhook → Make custom webhook module
{
"event": "traffic_spike",
"site": "acme.com",
"timestamp": "2026-03-23T14:30:00Z",
"current_visits_per_hour": 4280,
"baseline_visits_per_hour": 890,
"change_percent": 381,
"is_bot": false,
"top_source": "chatgpt.com",
"top_page": "/pricing",
"country_breakdown": { "US": 62, "DE": 18, "GB": 11 }
}Why Make over simpler automation tools
Visual Builder
Drag-and-drop scenarios
Routers
Branch on any field
Error Handling
Retry & fallback paths
Data Stores
Persist state across runs
Aggregators
Batch events together
Scheduling
Cron-based polling
Make's router module is the key differentiator. A single BetterMeter webhook can fan out into completely different workflows based on traffic type, volume, source, or geography — letting you build intelligent responses to analytics events instead of simple notifications.