Make is a visual workflow and integration platform. You build scenarios out of modules, connect them, and watch data move through each step. It is not a CRM, and it shouldn’t hold your customer records. What it does well is the work between systems that’s too complex for a simple trigger-and-action tool.
A scenario, step by step
This is the kind of problem that tends to land in Make.
An order comes in from an online store. The CRM needs to know about it, but not as one flat record. The scenario has to find or create the customer, update their lifecycle status if this is their first order, add each line item to a product-interest field, flag the account if the order includes a subscription product, and alert the account manager if the customer is on a B2B price list.
In Make, that becomes a webhook trigger, a router with separate routes for first-time and returning customers, an iterator to process each line item, an aggregator to combine the results, and several CRM modules that write only what each route needs. It’s visible on one canvas, which makes it far easier to reason about than five separate automations each doing one piece.
Branching without losing track
Routers split a scenario into routes, and filters decide which bundles travel down each one. The risk is that a bundle matches no route, or matches two, and either disappears or gets written twice. We always design a fallback route for anything that doesn’t match, and we order routes deliberately so the most specific conditions are checked first.
Data mapping and transformation
Most integration bugs are mapping bugs. A date arrives in one format and the CRM expects another. A country is “UK” in one system and “United Kingdom” in the other. A picklist value is misspelled and the CRM silently rejects it.
Make has strong built-in functions for text, dates, arrays and math, so a lot of cleanup can happen inside the mapping itself. For anything repeated across scenarios, such as country codes or lifecycle stage names, we keep lookup tables in a data store rather than hard-coding values in a dozen places. When a value changes, you update it once.
Calling APIs directly
When an app’s built-in Make modules don’t cover the endpoint you need, the HTTP modules let a scenario call the API directly. This is common for CRM features that apps expose through their API before the integration catches up, such as custom objects or association labels, and for internal systems with no Make app at all.
We keep these calls readable: authentication stored in Make connections or keys rather than pasted into URLs, and responses parsed and checked before the next module uses them.
Scenarios getting hard to follow?
We'll review your Make scenarios for mapping gaps, unhandled routes and missing error handling, and show what to fix first.
Errors are part of the design
By default, when a module fails, Make stops the scenario and reports an error. Sometimes that’s fine. Often it isn’t: a CRM rate limit or a short outage at 2 a.m. shouldn’t mean an order never reaches the CRM.
Make gives you error handlers to decide what happens instead. Resume substitutes a fallback value and continues. Ignore skips the failing bundle. Break stores the remaining steps as an incomplete execution so it can be retried, manually or automatically. Rollback and Commit control what happens to work already done in the run. We pick the handler per module based on the business consequence. A failed Slack notification can be ignored. A failed CRM write cannot.
We also make failures visible: incomplete executions are reviewed, and important scenarios send a notification to a shared channel when they hit an error, not just a line in the history log.
Make or Zapier?
Choose Make when a workflow has several branches, loops over line items, needs real data transformation, or calls APIs directly. Choose Zapier when the workflow is linear and a non-technical team will maintain it. n8n is worth considering if you want custom code or self-hosting.
Cost also behaves differently. Make bills in credits, which are consumed largely per module operation, so a scenario that iterates over hundreds of items per run can use more than you’d expect. We design scenarios to filter early and avoid unnecessary operations.
This work usually connects to a broader CRM automation or CRM implementation project, where the data model the scenarios write into is designed at the same time.
Should we keep customer data in Make data stores?
Only reference data. Data stores are good for lookup tables such as country codes, stage names or ID mappings between systems. Customer records, lifecycle stages and history belong in the CRM, where your team can see and report on them.
What happens when a Make scenario fails halfway through?
It depends on the error handling. Without handlers, the run stops at the failing module. With a Break handler, the remaining steps are stored as an incomplete execution that can be retried. We choose handlers per step based on what a failure would cost.
Can Make connect to a system with no built-in app?
Yes, if the system has an API or can send webhooks. Make’s HTTP modules and custom webhooks can call almost any REST API and receive data from internal tools.
Why are our Make credits running out so fast?
Usually because scenarios process more bundles than necessary: polling too often, iterating before filtering, or running every module on data that should have been discarded early. Restructuring the scenario typically reduces usage without changing the outcome.
Do you maintain Make scenarios after launch?
Yes, through our CRM optimization retainer, which covers monitoring, fixes and changes as your systems evolve.