A small business needs new form responses turned into reliable leads, not an impressive automation diagram. This comparison uses the same proposed Google Forms-to-Google Sheets workflow to show what to verify in Make and Zapier. The ten-record example below is synthetic and the platforms have not been run side by side. If the only job is to store every unmodified Google Forms response, Google's built-in linked response sheet may already be the simplest answer.
Start with one job, not a feature list
A visitor submits a contact form containing response_id, submitted_at, name, email, company and request_type. The desired output is a separate Curated Leads sheet with one row for every valid new response_id. Invalid submissions must not be treated as qualified leads. Repeated delivery of the same response must not silently create another row. That is the decision test for both products.
A response sheet linked directly from Google Forms can capture original submissions without an automation subscription. The additional workflow only earns its complexity when it must validate fields, normalize a value, isolate a curated list or connect another system. Compare that real requirement before comparing subscription tiers. Source: support.google.com ↗ .
A ten-event fixture, not ten observed platform runs
Here is a reproducible design scenario, not a measured platform result: six valid unique events R001 through R006, two extra deliveries carrying the same R002 ID, one event R007 with an invalid email format, and one R008 with a missing email. The designed outcome is six accepted sheet rows, two duplicate deliveries skipped and two invalid submissions held for review. All addresses in this fixture use the reserved example.com domain; no customer data is needed.
Use response_id rather than an email address as the uniqueness key: a real person may submit two separate valid requests using one address. Check an existing ID before appending to the curated sheet, and retain an error trail for rejected inputs. A lookup followed by append is not an atomic unique constraint in Google Sheets; concurrent workers can still race. A successful local simulation only checks the fixture's decision logic; it is not proof that either vendor's live modules behave the same way.
Mapping the workflow in Make
The documented candidate path is a Google Forms watch-response module, field normalization and validation, a Google Sheets lookup by response_id, and a conditional append for an acceptable unseen lead. Make publishes a Forms-to-Sheets template and module documentation, but those materials do not validate the exact configuration for this site. Before publishing a hands-on comparison, inspect the current app version, connection permissions, scheduler, start position, zero-result lookup behavior and how each bundle passes through filters.
Do not mistake an empty lookup result for a platform error or assume the output bundle continues when no row is found. Check the actual route on a test account. Keep the native Forms response sheet separate from the Curated Leads tab; do not append duplicates into the sheet that Forms is already writing. Sources: apps.make.com ↗ and apps.make.com ↗ and www.make.com ↗ .
Mapping the same job in Zapier
In Zapier, the proposed path is a verified Google Forms trigger, field-checking steps, a Sheets search for response_id and a conditional create-row action. Before calling the paths equivalent, inspect which trigger and search actions the connected account actually offers, which plans support the required steps, and whether a search with no match can continue to the desired branch. Do not claim a one-for-one module match based solely on labels from another service.
Record whether a search action is configured to continue when nothing is found; this changes Zapier's task accounting. If a specific action is unavailable at the account's plan, say so instead of inventing an alternative as if it had been tested. Documentation-backed setup designs can be useful without being described as hands-on results. Source: help.zapier.com ↗ .
Count credits and tasks against the same workload
Make measures operations and credits; a module can run once per processed bundle and polling checks may also create operations. Make documents a typical one-credit-per-operation rule for non-AI apps, with exceptions and different rates for some other features. The relevant estimate is the sum of actual module operations multiplied by their applicable credit rates, including checks, errors and repeats where billed; it is not simply ten responses multiplied by the number of drawn boxes. Sources: help.make.com ↗ and help.make.com ↗ .
Zapier counts successful billable actions as tasks. Triggers and Filter or Paths steps do not count. A search action's setting and the way a Zap is replayed can change consumption, so a lead is not automatically one task. Build a line-by-line sheet with the trigger, filters, lookup, creation, retries and any action that actually succeeds. Record observed task usage only after running the exact Zap and checking its history. Source: help.zapier.com ↗ .
Do not rank products on a single advertised starting price. Compare the same currency, billing cadence, commitment, required app actions, volume, scheduler behavior and overage policy using live quotes at the decision date. We have not established a like-for-like plan quote for this workflow and therefore do not claim a monthly price winner. Pricing references: www.make.com ↗ and zapier.com ↗ .
The cases that break optimistic diagrams
Test a valid first delivery, a duplicate, a missing field and an invalid email. Then revoke Sheets write access; trigger a temporary API failure before append; and consider a timeout after an append that might already have succeeded. An automatic retry can re-run an action, so verify whether the side effect occurred before retrying blindly. Make documents incomplete executions and retry behavior, but settings and errors determine the actual recovery path. Source: help.make.com ↗ .
For two simultaneous deliveries of one ID, a read-then-write check in Sheets is insufficient to guarantee exactly-once semantics. If deduplication is mandatory, assess a storage mechanism with a real atomic uniqueness guarantee or serialize the workload under an explicitly tested boundary. Do not promise zero duplicate rows, perfect delivery or a quantified reliability improvement without execution evidence.
Which option fits a solo business?
Choose the simplest working path. For basic Google Forms response storage, consider the built-in linked Sheet first. If extra validation and mapping are needed, shortlist Make when its current module behavior and operating model suit the team; shortlist Zapier when its verified integrations and task-based workflow suit the job. Either choice must survive the same six-accepted, two-duplicate and two-invalid test before it is called reliable for this use case.
Evidence status as of October 22, 2026: official vendor documentation reviewed; synthetic ten-event fixture specified; no authenticated side-by-side Make/Zapier run, no observed credit/task ledger and no equivalent current checkout quotes. Product links on Toolnavira remain official non-affiliate destinations. For broader capability framing, read Toolnavira's existing Make vs Zapier comparison; this page adds a precise lead-workflow acceptance test, not another universal winner claim.
Practical checklist
- Define identical input fields and accepted-output conditions
- Use synthetic inputs; keep real lead data out of a tutorial
- Test 6 valid, 2 duplicate and 2 invalid deliveries
- Check zero-match lookup, permissions and retry side effects
- Log actual credits and tasks before publishing a cost claim
- Compare current pricing on the same billing cadence
Examples illustrate a process. They are not proof of hands-on testing or current pricing for any named software.