Why Is My Make.com Scenario So Slow?

A scenario that processed each item in a second used to take a second, and now it takes fifteen minutes, with no code change and no obvious cause. This is one of the more common support-forum posts in the Make.com community, and it almost never has one single cause. It is usually a combination of a few things quietly compounding: a spreadsheet-based data source instead of a proper store, more modules in the chain than the task actually needs, and no batching on operations that could easily be batched. This post covers where to actually look before making changes, and the specific fixes that tend to matter most.

Why Make Scenarios Become Slow

Slowness in Make almost always traces back to one of a small set of causes: too many individual operations for the volume of data being processed, a slow underlying data source like Google Sheets being read or written to row by row, unnecessary modules or iterators adding steps that do not actually need to be there, or a scenario that has simply grown organically over time without anyone revisiting its structure. Sudden slowness on a previously fast scenario, rather than gradual slowdown, usually points to something specific breaking, an API the scenario depends on degrading, or a data source growing unexpectedly large, rather than a general performance issue.

Measure Before Optimizing

Before changing anything, look at the actual execution history to see which specific module is consuming the most time, rather than guessing. Make's own operation and transfer usage data, available in the scenario's history and through the API, tells you where operations are actually being spent. Optimizing a module that accounts for five percent of total execution time while ignoring the one responsible for eighty percent wastes effort on the wrong target.

Reduce Module Calls

Every module invocation, whether it does meaningful work or not, adds to execution time and operation count. Consolidate steps where a single module can do what several currently do, and remove modules that were added during earlier iterations of the scenario but are no longer actually necessary for the current logic. Scenarios accumulate cruft over time as requirements change, and a periodic cleanup pass, removing what is no longer needed rather than just adding new steps on top, keeps this from compounding indefinitely.

Filter Earlier

A filter placed early in the scenario, right after the trigger, stops irrelevant bundles from consuming operations in every subsequent module. A filter placed late, after several modules have already processed data that gets discarded anyway, wastes exactly the operations you were trying to avoid. Push filtering conditions as early in the flow as the logic allows.

Avoid Unnecessary Iterators

Every item passing through an Iterator, covered in more depth in Make.com Iterator vs Array Aggregator, triggers its own pass through every downstream module, multiplying total operations by however many items are in the array. If a task can be handled with a single batched API call instead of iterating item by item, that is almost always faster and cheaper in operations than the iterated version, particularly for anything writing to a spreadsheet or database.

Batch API Requests

This is usually the single highest-impact fix available. Writing to Google Sheets or Airtable one row at a time in a loop is dramatically slower than using a batch write endpoint that accepts multiple records in one request. Make.com API Pagination Guide covers the read side of this same principle, fetching in efficient pages rather than one record at a time, and the same logic applies in reverse for writes: fewer, larger requests beat many small ones almost every time an API supports batching.

Reduce Data Volume

If a module is pulling far more data than the scenario actually needs, more spreadsheet columns than are used downstream, a broader date range than necessary, narrowing that pull directly reduces both transfer time and operations. This applies particularly to Google Sheets, where reading an unnecessarily wide column range or an unused sheet within the same workbook adds real time to every execution for no benefit.

Parallel vs Sequential Processing

By default, Make processes webhook-triggered executions in parallel rather than strictly one after another, which is generally faster unless you have explicitly enabled Process Data in Order for a genuine ordering dependency, covered in Make.com Webhook Queue Explained. If a scenario feels slow and Process Data in Order is enabled without a real reason for it, that setting alone can be the dominant cause, since it forces every execution to wait for the previous one to fully complete.

When to Split a Scenario

A single scenario trying to handle several genuinely distinct pieces of logic, particularly if some of that logic is heavy and some is light, is often better split into separate scenarios chained together, rather than one long scenario where a slow step at the beginning delays everything after it regardless of whether those later steps are actually related. Splitting also makes it easier to isolate and fix the specific slow piece without touching logic that was already working fine.

If a Make.com scenario has gotten noticeably slower and you cannot pin down why, that diagnostic and optimization work is exactly what I take on for clients. Book a free 30-minute call and bring the scenario, and we will find where the time is actually going.

Frequently Asked Questions

Why is my Make.com scenario so slow?

Usually a combination of too many individual operations for the data volume, an inefficient data source like row-by-row Google Sheets writes, unnecessary modules that no longer serve the current logic, or Process Data in Order enabled without a genuine ordering requirement.

How can I make Make.com scenarios faster?

Batch API requests instead of looping one record at a time, filter data as early in the scenario as possible, remove modules that are no longer necessary, and check whether Process Data in Order is enabled without a real reason for it.

Do routers make Make scenarios slower?

Not inherently, but a router with overlapping route conditions that cause multiple routes to fire for the same bundle multiplies operations unnecessarily. A cleanly structured router with mutually exclusive routes adds negligible overhead.

Does an iterator slow down Make?

Yes, proportionally to how many items are in the array being iterated, since every item triggers its own pass through every downstream module. A batched API call handling multiple records at once is usually faster than iterating through them individually.

How can I reduce Make operations?

Batch writes and reads wherever the target API supports it, filter out irrelevant data as early as possible in the scenario, and remove modules or entire branches that are no longer serving the current logic but were never cleaned up after earlier changes.

Should I split a large Make scenario?

Often yes, particularly if the scenario handles several distinct pieces of logic with different performance characteristics. Splitting makes it easier to isolate and optimize a specific slow section without affecting logic elsewhere that is already working fine.

If you would rather have this diagnosed than diagnose it yourself, I take on Make.com performance and reliability work through Fiverr.