MakeCampaignStack vs Make: the honest comparison
Make has the best visual canvas in automation: a scenario is a diagram you can actually read, with 3,000+ apps behind it at prices that embarrass the rest of the category. It is also, plainly, not a competitor. Its own LinkedIn app lists modules for publishing posts and reading follower statistics, nothing for messages or invites, so Make cannot run outreach and CampaignStack does not try to be general-purpose glue. People search this comparison anyway, so here it is, and the honest conclusion is a wiring diagram: the two run in one stack, connected by webhooks.
The job is connecting apps, and you want to see the flow while you build it. Make's scenario canvas is the clearest picture of an automation any tool on this page draws, the 3,000+ app catalog covers most of what a team runs, and the metering is close to free at glue volumes: 10,000 credits for $9 a month on Core, billed annually, where one module action is one credit and routers cost nothing. Its MCP server ships on every plan at no extra cost, free tier included.
The job is the outreach itself. One system holds the lead from sourcing through scoring, drafting, review, sending and the reply, so the parts Make cannot see, LinkedIn sessions, per-account safety limits, a reply arriving while follow-ups are queued, are the same system's problem instead of the space between three vendors. Make is not competing for that job; a scenario treats CampaignStack as one more app, wired in over webhooks or driven through its MCP server.
Where the work actually lives
Make prices and capabilities come from make.com's own pricing page, MCP page and LinkedIn app listing, checked August 2026. This table exists because people search the versus query; the two products answer different jobs, and the rows where Make wins are the rows about connecting apps.
| Capability | Make | CampaignStack |
|---|---|---|
| LinkedIn outreach | Make's LinkedIn app publishes and deletes user and company posts and reads follower and share statistics. Messages, invites and InMail are not on the module list, so the sender is a separate subscription | Connection requests, messages, InMail, profile visits and engagement steps run natively, each under its own per-account daily budget |
| Native email sending | A Gmail or Outlook module sends one email per credit. Sequencing, reply detection and stop rules are yours to assemble from more scenarios | Sequenced sends on your connected Google accounts, with warmed daily limits, A/B splits, and replies that stop the sequence |
| LinkedIn session handling | There is no LinkedIn session to hold. Whichever sender you wire into the stack manages its own | Each connected account gets a persistent encrypted browser profile on our infrastructure; the cookie is consumed once at connect and never stored in the app database |
| Account safety limits | Make meters credits, not LinkedIn actions. Nothing counts invites per account, warms a new account up, or pauses after a warning | Per-action daily budgets, usage-based warm-up, weekly invite caps, business-hours pacing, and an automatic pause on the affected action family after a risk signal |
| Visual workflow builder | The scenario canvas is the best in automation: modules, routes and filters drawn as a diagram you can read at a glance, with the data visible at every step | A drag-and-drop canvas for outreach workflows, plus a flow view that shows where leads actually went: how many entered, converted, replied or dropped at each step |
| App coverage | 3,000+ apps and 30,000+ actions by Make's own count, with a generic HTTP module for everything else | A fixed catalog of workflow nodes, plus webhook steps in and out, CRM sync, and push-to-sequence and push-to-list steps for outside tools |
| AI-drafted messages | An AI module writes the message inside the scenario, and whatever the model returns is what the next module sends | Every lead-facing draft is written against your playbook and offer facts, then read by a critic that objects and forces a rewrite before it ships |
| Human review queue | There is no draft queue. An approval flow is one more scenario you build and maintain yourself | A queue where you approve, edit, retry or reject, and approving resumes the exact action that was held back. Booked meetings and flagged drafts surface first |
| A reply stops the queued follow-ups | A scenario that queued three follow-ups does not know the person answered. Stop rules belong to the sender, if the sender has them | An inbound reply cancels the lead's unsent touches across the workspace before the conversation is handed to the responder |
| Buying signals | A trigger fires when an app emits an event. Job changes on the profiles you care about are not an app you can pick from the list | Title, job and company changes, funding events and headcount moves are detected on the lead record and feed each campaign's scoring |
| ICP scoring | An AI module scores a lead if you prompt it to, but the number has no signal history behind it and nothing downstream reads it | Every lead is scored against your ICP and re-scored as signals land, and the score decides who enters the campaign |
| API and AI agents | The Make MCP server ships on every plan at no extra cost, so an agent can trigger any scenario you build. The reach is your scenarios, priced in the credits they burn | Over 300 MCP tools operate one platform, so an agent can source, score, draft, review and send against a single lead state |
| Pricing model | Credit-metered and cheap: 1,000 free credits a month, then 10,000 credits at $9 on Core, $16 on Pro or $29 on Teams, monthly billed annually. One module action is one credit; routers and error handlers are free | $299 per workspace monthly, or $249 monthly billed annually. Credits cover usage, and connected LinkedIn accounts are not seats |
What Make does better
The canvas is the moat. A Make scenario is a diagram you can hand to a colleague and they will follow it, with the actual data inspectable at every module. Every other automation tool describes a flow; Make draws it, and for debugging a ten-step automation at 6pm that difference is the whole product.
The price is the other moat. 10,000 credits for $9 a month on Core, billed annually, where a module action is one credit and routers, filters and error handlers cost nothing. At glue volumes that is close to free, and cheaper per action than anything else on this page.
And the MCP story is generous. The Make MCP server is included on every plan at no extra cost, free tier included, so an agent in Claude, ChatGPT or Cursor can trigger the scenarios you build and you only pay the credits the scenario would have cost anyway. Nothing about it is upsold.
LinkedIn is the app Make does not have
Read the module list on Make's own LinkedIn app page: create, get and delete user and company posts, watch company posts, follower and share statistics, and a generic API call. Publishing and analytics, in every case. There is no send-message module, no connection-request module, no InMail module.
So every Make outreach setup quietly becomes a stack: Make for the glue, a data source for the leads, and a LinkedIn sender doing the one job Make cannot. Three subscriptions, and the space between them belongs to nobody. The sender does not know what the enrichment scenario learned. The scenario does not know the person replied. Neither knows the account tripped a limit at 2am.
CampaignStack does not have those seams because there is nothing to hand off. The workflow that sourced the lead is the workflow that drafts, reviews, sends and routes the reply, and the safety budgets read the same lead state the send step reads.
What the stack costs, with published numbers
Make's pricing page, read in August 2026: the free plan covers 1,000 credits a month across 2 active scenarios, with a 15-minute floor on scheduled runs. Paid tiers start at 10,000 credits for $9 a month on Core, $16 on Pro, $29 on Teams, all monthly billed annually, with monthly billing costing more. One module action is one credit.
Run the outreach arithmetic and Make's own bill stays small. A loop that enriches, scores, writes, logs and notifies for 1,000 leads a month at eight modules per lead burns 8,000 credits, which fits inside the base 10,000-credit tier. The glue costs $9 to $29 a month; it is everything around the glue that costs money, because the LinkedIn sender is its own subscription, the data tool is another, and sending is the sender's bill, not Make's.
The line that never makes the spreadsheet is maintenance. Every field the data tool renames, every quirk the sender ships, every LinkedIn change becomes a scenario to re-wire, and that cost arrives as hours instead of an invoice. Cheap credits do not buy back the evenings.
Not a rival. A piece you wire in.
The URL says versus because that is what people type. The working relationship is an integration, and nobody should cancel Make over this page: the outreach half comes into one system, and Make keeps every glue job it already does well, at prices no one else matches.
Inbound, a scenario posts leads into any CampaignStack workflow through a webhook source, so your form fills and enrichment flows keep feeding the pipeline. Outbound, a webhook step in any CampaignStack workflow posts the worked lead to a Make webhook trigger, which puts all 3,000+ apps downstream of your outreach. And because CampaignStack exposes an MCP server with over 300 tools, a scenario's HTTP module or a Make AI agent can drive it directly with an API key: create lists, queue leads, pull campaign metrics, whatever the job needs.
What changes is where the lead lives while it is being worked. Safety limits, drafts, the review queue and reply handling stop being split across subscriptions and become one system's job.
CampaignStack vs Make: common questions
Can Make send LinkedIn messages or connection requests?
No. Make's own LinkedIn app lists modules for creating, fetching and deleting user and company posts, watching company posts, and reading follower and share statistics, plus a generic API call. There is no module for messages, connection requests or InMail. Teams that run outreach through Make wire in a separate LinkedIn sending tool for that part.
Is Make a competitor to CampaignStack?
No. Make moves data between 3,000+ apps; CampaignStack runs outreach. They occupy different layers of one stack, and in practice they connect instead of competing: a scenario pushes leads into CampaignStack through a webhook source, a webhook step posts worked leads back out to a Make webhook trigger, and a scenario or Make AI agent can drive the whole platform through its MCP server with an API key.
Can I keep Make alongside CampaignStack?
Yes, and most teams should. A webhook step in any CampaignStack workflow posts leads and events to a Make webhook trigger, and a scenario can call back into CampaignStack through its MCP server with an API key. Make's job narrows to what it is best at: moving data between the rest of your tools, on the cheapest metering in the category.
Is running outreach through Make cheaper?
Make's own share of the bill is small either way. It meters credits, one per module action: 10,000 credits cost $9 a month on Core billed annually, read from its pricing page in August 2026, and an eight-module loop over 1,000 leads a month burns 8,000 credits, inside that base tier. The cost sits in the rest of the stack, because the LinkedIn sender and the data tool bill on top, since Make cannot send the messages itself. CampaignStack is $299 per workspace monthly, or $249 billed annually, with usage covered by credits.
If I move to CampaignStack, can I get out again?
Your structure and your data come with you: workflows export as versioned JSON, lead lists export as CSV. The runtime does not, because a CampaignStack workflow only runs on CampaignStack, the same way a scenario only runs on Make. Neither product is self-hostable, so on portability the two are even.
Every claim about the competitor on this page was checked against these pages on its own site:
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Your LinkedIn accounts will be safer with CampaignStack than doing it by hand. That's not a pitch. It's a measurable claim.