Two scenarios, one counter
They wrote the same number.
Make.com data store automation for scenarios that forget what they did a minute ago
Make.com data store automation that gives scenarios a memory for lookups, counters and duplicate checks, kept tidy within your plan
A Make data store keeps records under a key in a structure you define, and its size is capped by the plan, so it suits lookups, counters and checkpoints and not a copy of a whole database. BoldBellows notes what the scenario needs to remember, for how long and under which key before a data store is created, defines the structure and the key up front, reads before it writes and cleans up what is no longer needed, then builds Make.com data store automation around what the scenarios really need to remember: a store for event IDs so a repeated webhook is recognized, a store that maps your product codes to prices or owners for fast lookups, a counter for numbering documents, and a checkpoint that records the last record processed so a scenario resumes where it stopped. Each store gets a stated structure, a key rule, a retention rule that clears old records, and a size check against the plan. A spreadsheet that four scenarios fight over can usually be retired. Custom Make.com data store automation can also keep a store in sync with a master sheet.
View Pricing
From $1,345, paid once. Make.com data store automation.
- Make.com data store automation
- Lookups, counters, checkpoints
- Kept within plan limits
Four checks a Make data store route should pass
- Structure and key definedbefore the first record
- Duplicates recognizedby event ID
- Checkpoints kepta scenario resumes where it stopped
- Size watchedold records cleared by a rule
- Plain-language notesOperators get notes written for operators, not developers
- A figure you see firstfrom $1,345, with the handover documents included and no subscription from us
B2Before and after
Four scenarios fighting over one spreadsheet will eventually overwrite each other
A scenario needs to remember something: which orders it has handled, the last invoice number, the owner for each product code. So someone adds a Google Sheet and now four scenarios read and write the same rows. Two run at once and write the same counter, a lookup takes a full spreadsheet scan, and a quota error appears on a busy morning. Nobody planned a size limit or a cleanup, so the sheet grows until it slows down every scenario that touches it.
Sound familiar?
A lookup that scans the sheet
Each run used extra operations.
A quota error on a busy morning
The sheet was the bottleneck.
A duplicate that got through
No event IDs were stored.
A scenario restarting from the top
No checkpoint was kept.
A store that kept growing
Nothing cleared old records.
The same scenarios, with a memory that is built for it
Before
- Whatever Make sends, Data Store receives
- A shared spreadsheet acts as the memory
- Duplicates and restarts have no protection
After
- The data store, the key and the record ties the Data Store record to the Make event
- Defined data stores hold lookups, counters and checkpoints
- Event IDs and checkpoints prevent duplicates and restarts
D4How it works
How a scenario's memory becomes a store with a key and a rule
Events are filtered, keyed, searched and then written, with a record at each stage.
1. Receive, log, qualify
The event arrives from Make, is logged with its identifiers, and is qualified or set aside.
2. Define, key, read
Each store has a defined structure and key, and the scenario reads before it writes.
3. Write, clear, watch
Records are written once, a retention rule clears old ones, and the store size is watched against the plan.
E5Inside your table
How a store works: define, key and clear
Direct makes the route safe to run. Managed makes it complete. Watchful makes it last.
Direct
Source state reader
Reads the current Make state behind the event so stale or partial notices are not acted on.
Direct
Stable identity ledger
Keeps a record that ties each Make item to what the data store step did with it, and a retried event reads that record before it acts.
Direct
Required-field check
Stops an incomplete Make record before it produces a half-filled record in Data Store.
Managed
Store design
Defines each store's structure, key and the scenarios that read and write it.
Managed
Event-ID check
Stores incoming event IDs so a repeated webhook is skipped.
Managed
Lookup tables
Maps codes to prices, owners or statuses for fast lookups without scanning a sheet.
Watchful
Checkpoint keeper
Records the last record processed so a scenario can resume safely.
Watchful
Retention and size watch
Clears records after the period you set and warns before the plan limit.
Watchful
Ownership map
Shows who is responsible for each class of exception between Make and Data Store.
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G7Who it is for
Who uses this: support teams, all needing to give your scenarios a memory for lookups, counters, checkpoints and duplicate checks, without a separate database
Scenarios that remember what they did are simpler, faster and cheaper than scenarios that guess.
Operations manager
"Stop duplicates."
Event IDs are checked in one fast lookup.
Automation freelancer
"Retire the spreadsheet."
Stores replace sheets used as databases.
Finance lead
"Number documents once."
A counter issues each number a single time.
Agency owner
"Reuse a pattern."
The same store design serves each client.
Data analyst
"Keep reference data tidy."
Lookup tables have one owner and one structure.
Founder
"Cut wasted operations."
A lookup is one step, not a scan.
Budget is driven by records, keys and lookups
What a store costs, by scenarios served
Pick a package, switch three options for Make data store on or off, and the estimate beneath it recalculates from $1,345.
View Pricing
One setup fee
I9Your options
Choose your route from Make to Data Store: a Google Sheet used as a database by four scenarios at once, zap or a Make data store with a defined structure and key, used for lookups, counters and checkpoints
Each can hold data. Only one defines the structure, keys on the right field and clears what is no longer needed.
| How scenarios remember | A shared sheet | Duplicates and restarts | Our data stores |
|---|---|---|---|
| What starts the work | Word of mouth in the team | Every delivery attempt | An event admitted by rule, not by default |
| How identity is decided | A manual lookup each time | A field anyone can edit | A shared sheet that grows and conflicts |
| What reaches Data Store | Anything that fits the form | A single-step write | Defined stores with keys, checkpoints and a retention rule |
| After an uncertain result | Discovered at month end | Tries again without checking | Holds the case with evidence for an owner |
Old news arrives after new
Each event carries its own time, and the route applies it only if it is newer than what Data Store already shows.
Two runs try to take the next invoice number at the same moment
The counter store issues each number once, the second run receives the next number, and both are recorded against their documents. With the data store, the key and the record the route can say whether the work is missing, done, off, or unclear, and it says so in the log. Matching and differing records are handled separately; only a missing one is created.
Choosing the data store, the key and the record is step one; the field map and the branches are built on top of it.
Pricing
Build your Make to Data Store price
Pick a package, answer three short questions about how Make data should reach Data Store, and your price and turnaround move as you choose.
J11The process
Six steps from a shared sheet to a proper memory
A short, repeatable process of six steps, ending in a launch review.
-
Day 1
List what must be remembered
We list every scenario that needs to remember something and what that something is.
-
Access review
Approve access
The first step is limited access to Make and the other tools involved in data store, together with a decision on how records are matched.
-
Build phase
Agree structures and retention
Each store's structure, key and retention rule, and which scenarios may write, are written down and approved.
-
Before you review
Test what goes wrong
Duplicate deliveries, slow events, blank fields and denied permissions are run in a test copy of Data Store.
-
Release day
Launch with notes
Handover closes the project: a live route, a checkpoint to prove it, and documentation to run it.
-
Day 1
Launch support
For a short period after launch we respond quickly to anything unexpected in the live route.
K12Turnaround
Days to delivery, package by package
Delivery is counted from the day Make access is confirmed.
Direct
6 to 10 business days
Managed
10 to 16 business days
Watchful
16 to 24 business days
L13Getting started
Items to hand over at kickoff
Consent from your Make owner to read the agreed records
A Make login that can create data stores, the list of scenarios involved and your current plan's limits
Test records in Make for the acceptance runs
Names of the people who decide when a scenario run is valid
Your rule for what to do when Make and Data Store disagree
A decision on whether history should be loaded or only new events
M14Safety and ownership
A route that borrows access, never rewrites your tools
Reading stops at the Make fields you listed, and every write lands in a destination you chose in advance.
Reversible by design
Because nothing inside Make or Data Store is modified, switching the route off returns both tools to how they were.
Scoped, revocable access
Connections are restricted to the objects on the approved list.
A purpose for every field
Each mapped field has a reason recorded beside it, so a later review can tell why it was sent.
Find first, write second
The route finds the record through the data store, the key and the record before choosing between create, update and leave alone.
Minimal logging
Only technical identifiers reach the run history.
Full handover
The finished route and its explanation are delivered together.
N15In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and sales to support and operations.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
P16FAQ
Make data stores: what operations teams ask
The essentials in question-and-answer form, with room for your own in the quote request.
Could Zapier alone run Make data store?
To get scenarios that remember what they have already done, a connector will do. To look something up in one step, avoid duplicates and keep a checkpoint without a database, you need a designed route. Each of those is covered, tested and handed over in writing.
What is a Make data store?
A built-in place to keep records under a key, with a structure you define, for use by your scenarios.
Is it a replacement for a database?
No. It suits lookups, counters and checkpoints. Large or relational data belongs in a database or sheet.
How do you prevent duplicates?
The incoming event ID is checked in the store before the scenario acts, and repeated events are skipped.
What happens when the store gets full?
A retention rule clears old records and a size check warns you before the plan limit is reached.
Can I see what is stored?
Yes. The stores are visible in Make, and the handover lists each structure and what it is for.
How is data store work in Make priced?
Each store and each scenario that uses it adds to one price that we agree in writing first.
Is the field map part of the Make data store price?
Every store is listed with its key, its structure and the scenarios that touch it, and you approve that register before any record is written.
Will data store work to the rules our team already uses?
It can. Your own conditions, for instance a value, an owner or a stage, are written into the Make data store build as branches, and packages start at $1,345.
How is data store kept working when Make changes?
Dependencies are listed at handover. A breaking change pauses just the part it touches and alerts your owner, and post-review fixes are quoted separately.
Q17Give your scenarios a memory they can rely on
Give Make stores with keys, rules and limits
Tell us what your scenarios keep forgetting and who owns the answer, and a written price is on its way before any store is created.
- From $1,345, paid once
- Structure and key defined
- Retention rule set
- No monthly fee from us
For enterprise-scale or multi-region needs, request a tailored quote.