H
    Hestur
    Platform / Make.com

    Make.com
    Automation Agency

    We build Make scenarios for sales, marketing, and operations teams — 2,000+ native integrations, complex visual flows, and zero code required for your team to maintain them.

    2,000+ integrationsVisual scenario builderMake → n8n migration1–3 week deploy
    What We Build

    Six Make.com Scenario Categories

    Make wins when your team is non-technical, your workflows are sales or marketing-heavy, and you need native integrations fast.

    Sales Pipeline Automation

    Connect HubSpot, Salesforce, or Pipedrive to your outreach tools, enrichment services, and Slack notifications. Lead scoring, deal stage transitions, automated task creation, and follow-up sequences — all configured visually.

    HubSpot, Salesforce, Apollo, Clearbit, Slack

    Marketing Operations

    Connect ad platforms, email tools, analytics, and CRM in a single Make scenario. Campaign performance triggers, lead routing, audience sync, and attribution — without custom code.

    Google Ads, Meta, Klaviyo, Mailchimp, GA4

    E-commerce Order Orchestration

    Shopify, WooCommerce, or custom storefront → Make → fulfilment, accounting, and customer comms. Order confirmations, inventory updates, return processing, and post-purchase flows.

    Shopify, WooCommerce, Xero, Stripe, ShipStation

    Client Reporting & Dashboards

    Pull data from 10 different tools, aggregate it in Airtable or Google Sheets, and push weekly client reports automatically. Used by agencies who report to multiple clients simultaneously.

    Airtable, Google Sheets, Looker Studio, Notion

    Customer Success Workflows

    Health score updates, NPS survey triggers, renewal sequences, and churn early-warning alerts. Connects your product analytics, CRM, and customer comms tools without dev involvement.

    Intercom, Mixpanel, HubSpot, Zendesk, Calendly

    HR & Ops Automation

    Onboarding workflows, contract generation, approval chains, and payroll triggers. Connects HRIS, DocuSign, Slack, and your internal tools — non-technical HR teams can run these independently.

    BambooHR, DocuSign, Slack, Notion, Gusto

    Platform Selection

    Make vs n8n — Signal Matrix

    Both are excellent tools. The right choice depends on your team, your data, and your volume.

    SignalMaken8n
    Non-technical team needs to maintain workflows
    Sales or marketing-heavy workflow
    2,000+ native app integrations needed
    Complex scenario logic (routers, aggregators)
    Data stays on your servers
    Custom JavaScript logic required
    High volume (100k+ operations/month)
    AI agents calling workflows as tools (MCP)
    When we recommend both: Some clients use Make for sales/marketing workflows (where native integrations save time) and n8n for data-sensitive or high-volume engineering workflows. Hybrid stacks are common and we support both.
    Complex Scenario Patterns

    Beyond Simple Trigger → Action

    Production Make scenarios use advanced module types. These are the four patterns we implement on almost every complex build.

    Router

    Splits one trigger into multiple branches based on data conditions. Critical for any workflow where different records need different processing paths.

    Lead form → Router → Branch A: enterprise (score 80+) → SDR assignment. Branch B: SMB → email sequence.
    Aggregator

    Collects multiple bundles into one. Used when you need to process a batch of records then act on the combined result — e.g., summarise all Zendesk tickets from today before sending a report.

    24h trigger → Get all tickets → Aggregator → LLM summary → Slack digest
    Iterator

    Processes each item in an array individually. When you fetch a list of 100 deals and need to enrich each one separately.

    Get deals array → Iterator → HTTP Request (Apollo) → Update CRM record
    Error handler

    Break Module catches failures and routes them to a fallback path — retry, alert, or alternative action. Production Make scenarios require explicit error handling on every critical module.

    API call fails → Break Module → Slack alert + create retry task in Asana
    Migration Service

    Outgrowing Make? We Migrate You to n8n

    Most teams that start on Make reach a point where self-hosting, cost, or data sovereignty requirements force the conversation. We have done this migration multiple times and built a systematic process.

    Cost trigger

    Monthly Make bill exceeds $500–800/month on high-operation workflows. n8n self-hosted at that volume costs $30–60/month in server costs.

    Data trigger

    A new contract, compliance requirement, or investor due diligence requires data to stay on your infrastructure. Make is cloud-only.

    Scale trigger

    You need custom JavaScript nodes, queue mode, or MCP integration — capabilities Make cannot provide.

    Migration process — scenario by scenario

    01

    Audit all Make scenarios

    Document every scenario: trigger, logic, integrations, error handling, volume

    02

    Prioritise by risk

    Revenue-critical workflows migrate last; low-risk workflows go first

    03

    Build in n8n (parallel)

    New workflow runs alongside Make; both process for 2 weeks

    04

    Cut over

    Disable Make scenario, confirm n8n handling all volume, decommission

    What We Solve

    5 Make.com Pitfalls
    in Production

    01

    Problem

    Scenario timeouts on long operations

    Impact

    Make scenarios have a 40-minute execution time limit. Workflows that process large datasets or make many sequential API calls hit this limit and fail silently mid-execution.

    Our Fix

    We chunk large data sets, use Make's data store for state between executions, and split long workflows across multiple scenarios chained via webhooks or data store triggers.

    02

    Problem

    Operation count explosion

    Impact

    Make charges per operation. A scenario that iterates over 1,000 records and makes 3 API calls per record = 3,000 operations per run. At daily frequency, that's 90,000 operations/month — far beyond what most teams budget.

    Our Fix

    We audit every scenario for operation efficiency before build, batch API calls where the target service supports it, and use data stores to avoid re-processing unchanged records.

    03

    Problem

    No retry logic on webhook deliveries

    Impact

    Make's instant triggers (webhooks) can miss data if Make's servers are briefly unavailable. Without a queue, missed webhooks mean missed data with no recovery path.

    Our Fix

    For critical webhook workflows, we implement a buffer: the source system writes to a queue (Airtable or Google Sheets), Make polls it on a schedule, processes and marks records as done. No data loss on infrastructure blips.

    04

    Problem

    Cascading failures with no alerting

    Impact

    A Make scenario fails silently unless you configure notifications. A broken workflow can silently drop records for days while showing green in the dashboard.

    Our Fix

    We configure Make's error notification emails + a dedicated Slack channel alert via error-handling routes in every production scenario. Every failure gets a Slack message with scenario name and error details.

    05

    Problem

    Outgrowing Make without a migration plan

    Impact

    At 500k+ operations/month or when data sovereignty becomes a requirement, Make's costs and cloud-only model become blockers. Teams that have not planned the exit are stuck with months of migration work.

    Our Fix

    We document every Make scenario with enough detail to re-build in n8n. For clients approaching the migration threshold, we flag it proactively and can execute the migration — scenario by scenario — with zero downtime.

    Start Automating

    Ship Your First Make Scenario
    in 1–3 Weeks

    We scope every Make.com project in one 30-minute call — integration list, scenario count, and a fixed price.