If your Zapier automation stopped working, the cause is usually one of a few things: too many errors, a reached task limit, a disconnected app, a halted run, or a changed Google Sheet. The fix that lasts is monitoring: a named owner per automation, alerts sent to a watched inbox, and a monthly review of run history.
Key takeaways
- Most stopped automations trace back to a short list of causes: repeated errors, task limits, broken connections, halted runs and edited spreadsheets.
- The failures that cost the most are the quiet ones, where an automation runs and produces nothing.
- Give every automation a named owner and a backup, and send its alerts to those people instead of a shared login.
- Write down what each automation should produce and how often, then compare that to what it made.
- A 30-minute monthly review of run history, connections and usage catches problems before a client does.
If a Zapier automation stopped working on your team, you probably found out the hard way. A client asked where their weekly report was. A lead sat in a form for days. Nobody saw an error, or the error went to an inbox nobody reads. This post covers why Zaps and Make scenarios stop or quietly produce nothing, and the habits that catch it early: a named owner, alerts that reach a person, and a short monthly review.
I run marketing for a global consumer brand and build the automations I use every day. The failures that hurt are almost never the loud ones. They are the automations that look fine and do nothing.
Why a Zapier automation stopped working: the usual causes
Zapier's help center lists the common problems with running Zaps: not triggering, missing some runs, not sending data, creating duplicate data, wrong dates or times, and getting stuck in a loop (Zapier). Most of these trace back to five causes.
1. Zapier turned it off for too many errors
Zapier automatically turns off a Zap that errors on 95% of its runs, as long as it has run more than 20 times in the past 7 days (Zapier). On Team and Enterprise plans, Zapier emails the account owner first and gives a grace period before turning the Zap off: 24 hours on Team, 72 hours on Enterprise. That warning only helps if the account owner reads it in time.
Each Zap also has an "Error ratio override" setting that can keep it running even when it errors over and over (Zapier). Use it with care. A Zap that stays on while failing is harder to spot than one that turns off.
2. The account hit its task limit
If the account reaches its task limit for the billing cycle, Zapier holds the actions of every Zap in the account. None of them run until you upgrade or the cycle resets. Held runs can be replayed by hand afterward (Zapier). This one catches teams off guard because one busy Zap can stall every other Zap on the account.
3. An app connection broke
Zapier puts a run "on hold" when there is a disconnected app, a reached task limit, a plan change or flood protection. It keeps the trigger data so the run can be replayed once the problem is fixed (Zapier). In my experience, broken connections usually follow a person. Someone changed a password, lost admin access to a client's ad account, or left the company, and the automation was connected under their login.
4. The Zap ran and did nothing
This is the silent one. Zapier says a "safely halted" run stopped on purpose, usually because a search step found no results. Halted runs do not turn the Zap off, so a Zap can keep doing nothing without ever showing an error (Zapier). In my experience, filters cause the same quiet pattern. A filter written for last year's form fields can block every run while the history looks calm.
5. Someone edited the Google Sheet
Google Sheets triggers use row numbers to spot new rows, so deleting rows or columns can make Zapier lose track and skip new rows without any error (Zapier). On a marketing team, someone tidying a shared sheet is a normal Tuesday. It is also a common way to break a lead or reporting Zap.
Make scenarios fail in their own ways
Make follows different rules. It turns a scenario off after a set number of errors in a row. The default is 3, and the setting lives in the advanced scenario settings (Make). A scenario with an instant trigger is turned off as soon as one error happens.
The quiet case in Make is the warning. A scenario that finishes with a warning instead of an error keeps running on schedule (Make). Often that is what you want. It also means a scenario can keep running for weeks while something inside it is off, and nobody looks because it never stopped.
If you are weighing platforms partly on how much care they need, I compared them in Zapier vs Make vs n8n: the maintenance view.
The real problem: nobody hears about it
By default, Zapier sends Zap error notifications only to the Zapier account's email address (Zapier). In a small agency, that address is often the founder's, a former freelancer's, or a shared login nobody checks. You can choose how error emails arrive, with options such as "Immediately" or "Immediately, then hourly summary."
Whatever platform you use, find out which inbox gets the error emails and whether a person reads it every day.
In my experience, silent failures in small teams come from three gaps:
- No owner. The person who built it moved on, and nobody else knows it exists.
- Alerts go to the wrong place. The warning arrived, but in an inbox nobody watches.
- Nobody checks the output. No error email fires for a report that was never created. You only notice when the thing you expected is missing.
The checklist below closes all three.
A monitoring checklist you can copy
Work through this once to set things up, then keep it current.
- List every live automation in one place. Zapier, Make, n8n, anything else that runs on its own.
- Name an owner and a backup for each one. Real people, not "ops" or "the team."
- Write down what it should produce and how often. For example, "one CRM contact per new lead" or "client report sent every Monday."
- Send error alerts to the owner. For anything client-facing, set Zapier error emails to arrive immediately.
- Note whose login each connection uses. Move connections off personal logins where you can.
- Watch usage before it runs out. One account hitting its task limit can pause everything at once.
- Avoid the error ratio override unless the owner checks that Zap every week.
- Mark the spreadsheets that trigger automations. Tell the team not to delete rows or columns in them.
- Add an output check for the important ones. A weekly count of what the automation made is enough.
- When someone leaves, walk their automations and connections before their accounts close.
- Run the monthly review below.
Here is a register you can paste into a sheet. The example row is illustrative.
| Automation | Platform | Should produce | Expected volume | Owner | Backup | Alerts go to | Connected under | Last reviewed |
|---|---|---|---|---|---|---|---|---|
| Lead form to CRM | Zapier | New contact plus Slack message | About 30 a week | Account manager | Ops lead | Account manager's inbox | Shared ops login | First Monday of the month |
| Monthly client report | Make | Draft report in client folder | 1 per client per month | Ops lead | Founder | Ops lead's inbox | Founder's Google account | First Monday of the month |
The "Connected under" column matters more than it looks. When a connection belongs to one person's account, that person's departure or password change can stop the automation.
The monthly review: 30 minutes, once a month
Pick a fixed day. The first Monday works well. The owner of each automation, or one ops lead for all of them, does this:
- Open the register. Add anything new. Remove anything retired.
- Open run history for each automation. Look for errors, held runs and halted runs, not only failures.
- Compare output to expected volume. Here is an illustrative example: your lead Zap usually creates about 30 contacts a week, and last week it created zero with no errors. That points to a halted search step, a filter, or a changed sheet.
- Check connections. Has anyone on the list left, changed roles or lost access to a client account?
- Check usage against your plan limit. Note how close you are and when the cycle resets.
- Confirm alert recipients. Make sure error emails still go to the current owner.
- Retire what nobody uses. Every idle automation is one more thing that can break.
- Update the "Last reviewed" date.
This is a small habit. It is also the difference between catching a problem yourself and hearing about it from a client.
What to do when you find one that stopped
When something has stopped, work in this order:
- Find the cause. Use the five Zapier causes above, or the error and warning rules for Make.
- Fix the cause, not only the symptom. Reconnect the app under a stable login, correct the filter, or restore the sheet structure.
- Recover what was missed. Zapier keeps trigger data for held runs so they can be replayed once the problem is fixed (Zapier). Halted runs and skipped rows may need to be added by hand.
- Turn it back on and test with live data. Watch the next few runs.
- Tell anyone affected. If a client report was late or leads were delayed, say so.
- Update the register. Write down what broke so the next review checks for it.
Doing it yourself versus getting help
If you have a handful of automations and one person who knows them well, you can run this yourself. Copy the checklist, build the register, and put the monthly review on a calendar. If you are not sure what is running across your tools, start with an inventory. My guide to running an AI workflow audit walks through it.
Help makes sense when automations carry client work, the person who built them is busy or gone, or nobody has time for the monthly review. That is what Keeplight's Care and Build plans cover. I monitor your automations and keep them running, including the ones that run and quietly produce nothing, and on a care plan anything that breaks is looked at within one business day. Every account and automation stays in your name. If you first want a clear picture of what you have, the AI Workflow Audit checks every recurring workflow and includes tool cleanup. You can see what that report looks like in the sample audit.
If you want to talk it through, book a free 20-minute intro call. No pressure either way. The checklist works on its own.
Frequently asked questions
Why did my Zap turn itself off?
Zapier automatically turns off a Zap that errors on 95% of its runs, as long as it has run more than 20 times in the past 7 days. On Team and Enterprise plans, the account owner gets an email and a grace period first. Check the run history for the error, fix the cause, then turn the Zap back on.
Why does my Zap say it ran but nothing happened?
The run was probably safely halted, which Zapier says usually means a search step found no results. Halted runs do not show as errors and do not turn the Zap off. Filters and edited Google Sheets can cause the same quiet result, so check those next.
Who gets Zapier error emails?
By default, only the Zapier account's email address. If that address belongs to a founder, a former freelancer or a shared login, the warning can sit unread. Route alerts to the person who owns each automation and set them to arrive immediately for anything client-facing.
Why did all my Zaps stop at the same time?
The most likely cause is that the account reached its task limit for the billing cycle. Zapier then holds the actions of every Zap until you upgrade or the cycle resets. Held runs can be replayed by hand once the limit is cleared.
Why does my Make scenario keep turning off?
Make turns a scenario off after a set number of errors in a row, with a default of 3 that you can change in the advanced scenario settings. A scenario with an instant trigger is turned off after a single error. Find and fix the error that keeps repeating before you raise the limit.
How often should we check our automations?
Once a month is a good baseline for a small team, plus immediate alerts for anything client-facing. The monthly review should cover run history, output against expected volume, connections, usage and who receives alerts. It usually takes about 30 minutes once the register exists.
Bryce Walls, Founder, Keeplight
Bryce runs marketing for a global consumer brand and builds the AI systems he uses every day. He has run paid media, analysis and marketing ops in-house for more than seven years, and Keeplight sets up the same kind of AI and automation for small marketing teams.