Make Problems & Issues

Real user-reported problems, complaints, and limitations for Make. Based on analysis of 13 signals.

Overall score: 62/100

Issues by Category

pricing3 issues

Why does Make use so many credits?

Every module action costs a credit, and polling triggers (Watch modules) spend a credit on every check even when nothing new is found. A trigger polling every minute burns roughly 44,000 credits a month on its own, and loops through iterators multiply usage per bundle.

Frequency: 9%Sentiment: -0.60/1004 sources
Impact
8

Make switched from operations to credits (AI modules cost more)

On August 27, 2025 Make replaced operations with credits as its billing unit. Standard actions still cost 1 credit, but features using Make's built-in AI provider are billed by actual usage and can consume several credits per run, so AI-heavy scenarios got more expensive.

Frequency: 7%Sentiment: -0.40/1003 sources
Impact
6

Make extra credits now cost 25% more, Core capped at 300k credits

From November 6, 2025 extra credits cost 25% more than plan credits whether bought manually (previously no premium) or via auto-purchase (previously 30%). Core was capped at 300,000 credits per month, pushing heavier users to Pro.

Frequency: 6%Sentiment: -0.50/1002 sources
Impact
6
reliability3 issues

Make webhook not triggering the scenario

One of the most common community threads: webhooks that only fire on 'Run once', stop working after weeks, or never receive data from the sender. Causes range from the scenario being off or scheduled instead of instant, to wrong data structure, to webhooks auto-deactivated after 5 days unused.

Frequency: 8%Sentiment: -0.60/1005 sources
Impact
8

Make scenarios turn off automatically after errors

Make disables a scenario's schedule after several consecutive errors and immediately on fatal errors like data size limits. This protects credits but means automations silently stop until someone notices and re-enables them.

Frequency: 7%Sentiment: -0.50/1003 sources
Impact
8

Make outages disabled scenarios and dropped webhooks

Incidents in Sept 2025 (all scenarios, ~2 hours), Dec 2025 (Cloudflare), March 2026 (US2 webhooks), July 2026 (~250 scenarios disabled for about 29 hours) and Oct 2026 (Scenario app failures) left automations stopped or webhooks unprocessed, often requiring manual re-enabling.

Frequency: 5%Sentiment: -0.60/1004 sources
Impact
8
performance3 issues

Make scenarios time out after 40 minutes

Paid plans stop a run after 40 minutes (5 minutes on Free) with ExecutionInterruptedError, leaving remaining bundles unprocessed. Large syncs must be split into chained scenarios or batched.

Frequency: 5%Sentiment: -0.40/1003 sources
Impact
6

Make hits rate limits (429) on busy scenarios

Instant triggers and bulk processing frequently hit third-party API limits (Webflow, Google Drive), and the app's limit is shared across all your scenarios. Make itself also caps incoming webhooks at 300 requests per 10 seconds.

Frequency: 5%Sentiment: -0.40/1004 sources
Impact
5

Make editor is slow with large scenarios

Reviewers mention UI sluggishness, lag and occasional freezes when scenarios grow to many modules.

Frequency: 4%Sentiment: -0.30/1002 sources
Impact
4
integrations1 issue

Make connections keep expiring (invalid refresh token)

Gmail, Google Drive and Microsoft 365 connections regularly fail with 'invalid_grant' or 'Invalid refresh token, please reauthorize'. Some users hit it weekly because their Google Cloud app is in testing mode, and in some threads reauthorizing doesn't fix it.

Frequency: 7%Sentiment: -0.60/1005 sources
Impact
7
support1 issue

Make support is slow and billing refunds are hard

Trustpilot reviewers describe weeks without replies and refunds only after pushing, including a case of credits charged multiple times due to platform lag. Community users note the support ticket form is the only direct contact channel.

Frequency: 6%Sentiment: -0.70/1003 sources
Impact
7
onboarding1 issue

Make has a steep learning curve (bundles, iterators, aggregators)

Reviewers consistently say Make takes days to weeks before building complex scenarios comfortably. Concepts like bundles, iterators, aggregators, mapping and filters confuse non-technical users who expected Zapier-level simplicity.

Frequency: 8%Sentiment: -0.40/1004 sources
Impact
5
usability1 issue

Make errors are hard to diagnose

Capterra reviewers report that errors are hard to trace and fix, and community threads show generic messages like BundleValidationError usually point to an empty value from an upstream module rather than the module that failed.

Frequency: 6%Sentiment: -0.50/1003 sources
Impact
6

Regret Patterns

Common reasons users regret choosing Make.

Credits gone in days because of polling triggers

Users set Watch triggers to every minute or every few minutes and burn most of the monthly allowance on empty checks.

Frequency: 8%First billing cycle

Automations silently stopped after auto-disable

A scenario hit consecutive errors or an outage, Make turned it off, and nobody noticed for days.

Frequency: 6%First few months

Expected Zapier-simple, got a learning curve

Beginners switch for price, then struggle with bundles, iterators, aggregators and data mapping.

Frequency: 6%First week

Connections keep needing reauthorization

Google and Microsoft connections expire with refresh-token errors, breaking scenarios until reconnected.

Frequency: 6%Weeks after setup

Billing disputes with slow support

Users charged extra credits by lag or auto-purchase report long waits and resistance to refunds.

Frequency: 4%After an unexpected charge

AI scenarios cost more after the credits switch

Scenarios using Make's AI provider consume variable credits, making costs less predictable than flat operations.

Frequency: 4%After August 2025

When Make Breaks Down

Specific scenarios where Make fails or underperforms.

High-frequency polling triggers

Each check costs a credit; a 1-minute poll uses ~44,000 credits a month before doing any work.

Large data syncs over 40 minutes

Runs end with ExecutionInterruptedError and leftover bundles are not processed.

Burst webhook traffic

More than 300 requests per 10 seconds return 429, and full queues reject data with 'Queue is full'.

Many scenarios hitting the same API

Rate limits are shared across scenarios, so 429 RateLimitError appears under load.

Google apps in OAuth testing mode

Refresh tokens expire about weekly, so connections fail with 'invalid refresh token'.

Platform outages

Webhooks received during incidents may not be processed and scenarios may be auto-disabled.