12 Best Facebook Ads Automation Tools 2026 (Meta + TikTok)

Most "best Facebook ads automation tools" lists compare on pricing and AI-tag. We took an operator's lens — launch, rules, action, where the result lands. Quick disclosure: we built Scalemate, and it's slot #1 here. We use it ourselves on our own web and mobile funnels.

Every tool gets the same evaluation: workflow chain, playbook depth, free or paid tier, multi-platform support. Six deep writeups on the tools our buyers actually compare against (Scalemate, Meta Native, Birch, Madgicx, AdNova, AdManage). Four table-only entries. Two short group paragraphs on adjacent categories — DIY workflow tools and creative production tools — that show up in this search but solve a different job.

In this article:

• TL;DR — pick your tool by job
• How to choose — the spending decision framework
• How we evaluate — the 4-step chain
• Comparison table
• The 12 tools
• Decision matrix — by job, not by spend tier alone

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TL;DR — pick your tool by job

Pick by job, not feature count.

• Under $5K/mo, single account → Meta Native (Meta-only, AND-only rules) or Scalemate's free tier (Meta + TikTok, bulk launches + rules with auto-revert at smaller volumes). Both free.
• $5K–$20K/mo, Meta + TikTok, 1–3 accounts → start on Scalemate's free tier, upgrade to paid when you outgrow free volumes or need API endpoints + workflow chains.
• $20K+/mo, deep rules + results piped into your stack → Scalemate. If you're fine with the dashboard as the destination — Birch / Revealbot.
• Cross-platform reach (Meta + TikTok + Google + AppLovin + Snap + Pinterest + Taboola) → AdManage if platform breadth matters more than rules depth.
• $1M+/mo enterprise, creative + media in one workflow → Smartly.io.
• DIY workflows on top of ad-ops automation → Scalemate + n8n, Scalemate + Zapier, or Scalemate + Claude. Scalemate handles the launches / rules / endpoints; DIY connectors layer on top for everything that's not standard ad ops.
• Ad management + funnel-building automation in one stack → Scalemate + Funnelfox + Claude Code. Ad ops automated, funnels built around them, AI assistant in the loop.

Teams using Scalemate report 32% budget savings and a 62% reduction in ad management time.

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How to choose — the spending decision framework

We've watched teams stay on native Meta rules a year past the point where it made sense — not because the tools worked, but because evaluating alternatives felt like one more task on the pile. So before you read 12 tool entries, locate yourself on this map. The right answer changes by spend tier and by where the bottleneck actually sits.

Tier 1 — Under $5K/mo, single ad account. Two free paths. Meta Native (Advantage+, Automated Rules, Dynamic Creative) — built into Ads Manager, AND-only single-level rules, Meta-only. Right answer if you're Meta-only with one account and your automation needs are basic ("pause if CPA over $X" / "scale if ROAS over Y"). Scalemate's free tier — bulk launches + rules with auto-revert at smaller volumes, Meta + TikTok, no credit card. Right answer if you're cross-platform, running 20+ creatives a week, or want an upgrade path that doesn't require migrating tools later.

Tier 2 — $5K–$20K/mo, 1–3 ad accounts. Volumes outgrow free tiers. Scalemate's paid tier (larger volumes + API endpoints + workflow chains + custom integrations); Birch if you're Meta + Google and don't run TikTok; AdManage if you're cross-platform but don't need a goal × niche playbook library.

Tier 3 — $20K+/mo, 3+ accounts, multi-platform. Multi-account orchestration + compound rules + endpoints into your ops stack. Scalemate or Birch. Skip autonomous-AI black-boxes (Madgicx, Trapica) unless you've explicitly opted into "let AI decide" — they don't show their work, and at this spend tier the cost of an opaque decision compounds.

Tier 4 — 50+ creatives a week (any spend tier). Creative testing throughput is the bottleneck — not optimization. Scalemate (rules + bulk launch + Drive sync + playbook library), AdNova (creative-side bulk launch with a free tier), or Pencil / AdCreative.ai / Hunch (creative production layer feeding into a rules tool). Pick by where the bottleneck actually sits, not by spend.

This framework carries over from our longer how-to guide on Facebook ads automation — same logic, applied here to the tool slate instead of the automation levels.

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How we evaluate — the 4-step chain

The operator's question: does the tool ship the chain whole, or does it cover one or two steps and force you to glue the rest with Zapier and screenshots in Slack?

The chain is four steps, all native to ad ops:

Launch
  → Trigger  (multi-level conditions)
    → Action  (auto OR alert)
      → Endpoint  (Slack / email / API custom event)

Per step, in plain language:

• Launch. Can the tool bulk-launch ads from Drive into Meta + TikTok, or are you still building one ad set at a time inside Ads Manager?
• Trigger. AND-only single-level (Meta Native) or compound multi-level (Birch, Scalemate)? Spend windows on 1d / 7d / 14d? Multi-account?
• Action. Does the tool execute the action (pause, scale, cut), or only notify? Per-rule routing?
• Endpoint. Where does the result go — back into the tool's own dashboard, into Slack and email native, into your system via API custom events, or only via DIY Zapier glue?

If you've come to this article from "n8n facebook ads automation" or "Zapier for Meta ads," that's the framing you're already using — you want the FB-ads-native version of the n8n / Zapier mental model. Make.com, n8n, and Zapier are the DIY way (slot #11). The rest of this list is what you reach for when you don't want to rebuild ad-ops primitives every time you hire a new junior media buyer.

We don't compare on "AI level" tags. AI is the how. The what is whether the chain runs end-to-end without you babysitting it.

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Comparison table

Scroll the table sideways → the first column (Tool) stays pinned. Wide on purpose — 16 capability columns, mobile-readable short labels.

A note on language: Scalemate's own term for auto-revert is "rollback." Birch's is "reverse rules." The column header here uses plain "Auto-revert" so the marketer comparing tools doesn't have to translate dev jargon between vendors.

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The 12 tools

1. Scalemate — Best for Meta + TikTok teams running bulk launches + automated rules that plug into their own stack

Scalemate is the automation layer for ad ops on Meta + TikTok. It handles the two parts of the job that eat the most operator time — bulk launches and automated rules — and pipes the results back into the tools your team already works in.

Bulk launches. From Drive → Meta + TikTok, with reusable templates so next week's launch isn't a rebuild. Multi-account. Free tier covers basic launches at smaller volumes — no credit card.

Automated rules. Multi-level / compound conditions on CPA, ROAS, frequency, spend windows (1d / 7d / 14d). Auto-execute (pause / scale / cut) OR alert-only — per-rule routing. Auto-revert when conditions reverse (our term: "rollback") — paused campaigns auto-resume when performance recovers.

Where results land. Slack and email natively. Public API + custom events for piping status changes, threshold breaches, and action receipts into Airtable, Notion, Looker Studio, your CRM. Custom integrations on demand from the dev team when standard endpoints don't fit.

On top of that — the playbook library. Pre-built operator playbooks across goals (scale winners / kill losers / budget control / creative testing rotation) and niches (mobile UA, eCom / DTC, lead-gen). Filterable, copy-pasteable view at the Automation Rules Library. Plus a chat-based AI layer on the same data + rules surface.

Proof. 32% budget savings. 62% reduction in ad management time. 2M+ ads launched on Meta + TikTok across mobile UA, eCom, and lead-gen. We use Scalemate ourselves on our web + mobile funnels — and work with teams running $5M+/month and 200+ creatives a week. Sources: Scalemate's automation rules feature page and media buyer solutions data.

How this lands vs peers. Native Meta rules can't push to Slack or webhook out at all. Birch and Madgicx ship strong dashboards but expect you to come live in theirs. Make.com gives you DIY connectors but no ad-ops primitives — every project you'd rebuild "wait until enough spend, then check CPI against benchmark, then write back to the creative-tracking sheet" from scratch. Scalemate ships that chain pre-built and lets you wire the endpoint to wherever your team already works.

Worked example — creative testing protocol

Plain-language read first: a team is testing 20 new creatives. They want to auto-kill the losers based on a compound condition AND log the verdict back to their creative-tracking sheet — Notion, Airtable, or Google Sheet, whichever the creative team already lives in. No manual CSV exports. No screenshot-pasting in Slack.

The operator's mental model:

"Wait until the ad has spent enough to be statistically meaningful. Then, if its CPI is clearly above benchmark, kill it now and write status 'bad' to our tracking sheet. The team sees the verdict where they already work."

That's two gates: the spend gate says "wait until there's enough data to trust." The performance gate says "if CPI is clearly above benchmark, kill it now." Combined, they auto-pause every losing creative AND log the verdict — without anyone logging into Meta or pasting screenshots into Slack.

The rule in Scalemate looks like this:

Rule:
  IF (spend > CPI_benchmark × 10)
     AND (current_CPI > CPI_benchmark × 2)
  THEN
    pause campaign
    + fire API event:
        status      = "bad"
        creative_id = <id>
        reason      = "CPI 2× over benchmark"
  → tracking sheet row updates automatically

Why this lands:

• Multi-level compound trigger. Meta Native can't do AND/OR compounds inside its automated rules surface. Most paid peers can't either. Birch can.
• Auto action. Pause the campaign immediately. No babysitting, no "did I forget to check Meta this morning."
• API custom event into your system. The creative team checks one place — their tracking sheet — instead of three (Meta dashboard + Slack + sheet).
• No manual logging. The verdict appears in the team's existing tool with zero export steps.

The placeholder thresholds (×10 spend gate, ×2 CPI gate) are a sane starting protocol for app UA testing — swap to multipliers your team has actually validated. The structure of the rule is what matters: gates that combine, an action that fires, an endpoint that lands somewhere useful.

Quick recap

• Launches. Bulk from Drive → Meta + TikTok, reusable templates, multi-account.
• Rules. Multi-level / compound triggers, auto-execute or alert-only, auto-revert.
• Endpoints. Slack + email native, API + custom events for Notion / Airtable / Looker Studio / CRM.
• Library. Goal × niche playbooks.
• AI. Chat-based ad management on top.
• Pricing. Free tier — bulk launches + rules with auto-revert at smaller volumes (no credit card). Paid tiers unlock larger volumes, API endpoints, workflow chains, custom integrations.
• Meta verified. Passed app review, scoped permissions, rate limiting per request.

Not for: solo operators with one ad account at <$5K/mo who only need pause/scale basics — go to Native Meta. Not for teams that want fully autonomous AI to make every decision — go to Madgicx or Trapica.

Self-#1 honesty note. Slot #1 here weighs chain-completeness — all four steps native (launch → trigger → action → endpoint) plus a goal × niche playbook library. If your weighting is different — you only care about rules-engine depth and the dashboard is fine as your destination — Birch (Revealbot) is the closest direct peer.

See Scalemate's rules engine + auto-revert in action →

2. Meta Native (Advantage+ / Automated Rules / Dynamic Creative) — Best for solo operators with one ad account under $5K/mo who only need pause/scale basics

Meta Native is the floor. Free, built into Ads Manager, zero setup. It's the right answer when you're under $5K/mo on a single ad account and your automation needs are "pause if CPA > $X" or "scale if ROAS > Y." It's the wrong answer the moment any of those constraints stop being true.

The cleanest moat against Meta Native is the endpoint, not the engine. Meta's automated rules surface is AND-only single-level (no native OR / compound conditions). It supports a cap of around 250 rules per ad account historically. The bigger gap: no Slack push, no API event out, no webhook out from automated rules. You can't pipe results to your team's tools without third-party glue. Reddit's r/FacebookAds has a thread from 2023 still cited today: "Yes you can set up 'check' rules to turn the ads back on but you've just lost 5 hours." That five hours is the auto-revert gap — once a rule misfires, the ads stay paused until someone notices.

What's in the box

• Launch. Power Editor / CSV — clunky, no Drive sync, no reusable templates.
• Trigger. AND-only single-level. Cap ~250 rules per ad account.
• Action. Auto-execute or notify (limited).
• Endpoint. Ads Manager UI only. No Slack push. No email push from rules. No webhook out.
• Playbook library. None — empty engine. You write every rule from zero.

Pricing. Free.

2026 deprecation note. Meta has flagged "Automated Ads going away in 2026" in past help-center copy. The Automated Rules surface this article references is a separate product from "Automated Ads" — but the Help Center pages around this topic shift between IDs frequently. Verify the current Meta documentation before you build a rules-heavy workflow that depends on a specific feature staying in place.

We tell teams to stay native a little longer than feels comfortable. Every paid tool has a learning-curve cost, and the worst outcome is paying for a rules engine you don't actually use yet. The trigger to upgrade isn't a feature dream list — it's "I'm spending hours a week doing what a rule should do, and I have no way to push the result anywhere except this dashboard."

Read the rules cheat-sheet for Meta Native → | See the rules-by-goal library when you outgrow Native →

3. Birch (Revealbot) — Best for teams who want a deep rule engine and are OK with the dashboard being the primary product surface

Birch shows up in nearly every r/FacebookAds and r/PPC "best automation tool" thread — "240M+ automated actions/year" claim on its homepage. If you want pure rule-engine depth and the dashboard is fine as your destination, Birch is the closest direct peer to Scalemate.

Birch ships Slack alerts and email alerts natively for performance and automation events, plus Automation Logs for understanding why items triggered. Webhook depth and public API for outbound events aren't documented prominently — there's an Integrations section on the site, but external endpoint detail isn't surfaced at the level Scalemate exposes. Practical read for a buyer: Slack + email is the proven outbound surface today; if you need API events into your own system, treat that as a sales-conversation question, not a guaranteed feature.

What's in the box

• Launch. "Launcher" on Pro tier ($99/mo) — bulk launch supported. No Drive sync.
• Trigger. Advanced — OR / compound conditions, scheduling, multi-account (workspaces concept on Essential+).
• Action. Auto-execute, plus "reverse rules" (Birch's term for auto-revert).
• Endpoint. Slack + email native. Integrations section visible on site; webhook / public API depth not externally documented as of this verification pull.
• Playbook library. 12-rule cheat-sheet on Birch's own site — generic, single-tier, no goal × niche split. Library-light versus a full library by goal × niche.

Pricing. Essential $49/mo, Pro $99/mo, Enterprise custom. 14-day free trial (no credit card), no permanent free tier.

Multi-platform. Meta + Google + TikTok + Snapchat. Rules-engine depth on TikTok specifically isn't documented as deeply as on Meta — verify your specific TikTok rule needs in a trial before committing.

A 2025 r/FacebookAds thread, paraphrased: "Revealbot is solid for rule-based alerts plus quick dashboards; add spend / CPA guardrails." That matches what we see — dashboard-first, native alerts, opaque on the integration-out side.

The differentiation versus Scalemate isn't "Birch is closed." It's structural: Birch's primary product surface IS the dashboard, and the playbook depth ships as a 12-rule cheat-sheet. Scalemate's primary surface is the chain into your existing stack, and the playbook ships as a goal × niche library. Birch is the closest peer in this slate. We've used both.

Birch (bir.ch) | See the goal × niche playbook library Birch's cheat-sheet doesn't cover →

4. Madgicx — Best for teams who want autonomous AI to make decisions for them (closed black-box, no playbook to inspect)

Madgicx is the autonomous-AI big brand on this list — heavy AI layer ("AI Marketer," "AI Ad Generator," "Creative Refresh Agent," "Ad Fatigue detector"), light manual-rules layer. Best for teams who've explicitly opted into "let AI decide" rather than "I'll write the playbook."

Closed AI black-box is a different product category from a rules engine you can read. The right answer depends on whether you want the playbook or want the AI to decide. Both are legitimate jobs.

What's in the box

• Launch. "Automated Ad Launch Tool" — focused on AI-driven creative variation more than CSV / sheet bulk launch.
• Trigger. Basic rules — not foregrounded in product copy.
• Action. AI-decided (autonomous) OR manual rules.
• Endpoint. Dashboard-first. Integrations exist (GA4, Shopify, Klaviyo, TikTok) but as data sources, not as result destinations.
• Playbook library. None — closed AI black-box, no transparent playbook to inspect.

Pricing. Variable by ad-spend tier (visible ranges from <$1K to $30K+/mo accounts). 7-day free trial. Reddit threads cite around $450/mo at the $40-50K/mo spend tier.

Trial-billing caveat. Reddit threads in 2024-2025 surface refund and trial-cancellation complaints (r/PPC "Madgicx — DO NOT BUY," r/AskMarketing "$240 charged after free trial"). Counterweight positive sentiment also exists in r/FacebookAds. Practical read for a buyer: double-check trial cancellation steps before signing up. We're flagging the signal because it's repeatedly surfaced; we're not making a moral case about the product.

A community aggregate from r/AskMarketing (paraphrased): "Revealbot and Madgicx exist. They're expensive and their logic is a mystery box. You can't trust them with your budget without babysitting." Read that as "the autopilot tier asks for trust the rules-engine tier doesn't" — true of any closed-AI product.

Deeper Madgicx review — including alternative options →

5. Smartly.io — Best for $1M+/mo enterprise teams running creative production + media in one workflow

The enterprise-tier completeness slot. Smartly.io covers FB + IG + TikTok + Pinterest + Snap + CTV + DSPs, with a creative production pipeline built into the same platform. Pricing is enterprise / contact-sales — not published. r/PPC consensus puts it around 2-4% of ad spend, dropping toward 2% at enterprise scale. Mid-level rules. AI-heavy. Not for our ICP (the $5K-$100K/mo segment): at $1M+/mo this is the category-leader tier; below that, you'd be paying enterprise rates for the wrong fit. r/PPC, paraphrased: "definitely worth the price — if you're running campaigns at scale."

6. AdEspresso (Hootsuite) — Best for teams already in the Hootsuite ecosystem who want an established A/B testing surface

Hootsuite-owned A/B testing tool. Starter $49/mo (with a $1K monthly spend cap), Plus $99/mo, Enterprise from $259/mo. 14-day free trial, no permanent free tier. Meta + Instagram primary, with Google in some Hootsuite bundles. Basic rules, no auto-revert. Strong on split-test creation — that's the original product DNA. If your team already lives inside Hootsuite for social management, AdEspresso plugs in cleanly; if you're picking a tool from scratch in 2026, weigh it against Birch and Scalemate on the rules side before committing.

7. Trapica — Best for teams who want autonomous AI optimization (older entrant in the AI-autopilot bucket)

Self-positioned as an "AI-Powered Marketing Automation Platform." Pricing isn't published. Multi-platform — Meta + Google per Reddit corroboration. Reddit threads dating back to 2017 carry similar positioning — an older AI-autopilot entrant that hasn't done a major repositioning. Listed here alongside Madgicx to fill the AI-autopilot bucket. If pricing transparency matters to you, look elsewhere.

8. AdNova — Best for teams whose bottleneck is creative production + bulk launch on Meta (NOT a rules engine peer)

AdNova (adnova.ai) doesn't show up in the top results for this search, but it's worth knowing about: real free tier, real bulk-ad-launcher feature, and Drive sync — which several other listicles wrongly frame as a single-vendor differentiator. AdNova has it, Kitchn.io has it, AdManage has it. Drive sync is table stakes in 2026 bulk-launch tools, not a moat.

Bucket disambiguation (critical). AdNova is in the bulk launch + creative workflow bucket — same category as Kitchn.io and AdManage. NOT in the rules-spine bucket like Birch / Madgicx / Scalemate. No rules engine on the launch side. The job stops after launch.

What's in the box

• Launch. Core feature — "Launch 100+ Meta Ads in Minutes." Bulk Ad Launcher add-on $79–$99/mo.
• Trigger. None (no rules engine).
• Action. N/A.
• Endpoint. N/A.
• Drive / Dropbox sync. Yes (homepage explicit on /bulk-ad-launcher).
• Creative-workflow side. AI search across 75M ads, AI competitor insights, AI creative hub, asset splitting, tagging.
• Platforms. Meta only on the launch side. Chrome extension also captures TikTok ads on the research side, not the launch side.
• Playbook library. None.

Pricing. Free tier ($0/mo, 1 workspace, 1 ad account, $25K monthly ad-spend cap, 30 brands tracked). Plus $150/mo. Growth $309/mo. Pro $499/mo. Bulk Ad Launcher add-on $79–$99/mo. The free tier is real — rare in this segment.

We added AdNova because the "Drive sync is unique to vendor X" framing in most peer listicles is misleading. AdNova has it. Kitchn.io has it. AdManage has it. Drive sync is table stakes in 2026 bulk-launch tools, not a moat.

AdNova (adnova.ai) | Deeper bulk ad launch tools comparison →

9. Kitchn.io — Best for Meta-only teams who want spreadsheet-driven bulk launch with explicit anti-AI standardized workflows

Established Meta-only player. Launch Individual €199/mo (1 ad account, 250 ad uploads/mo, 7-day trial). Launch Team €499/mo (5 accounts, 900 uploads/mo, 14-day trial). Launch Elite €1,999/mo. Enterprise €50,000/yr (rule-based automation only at this tier). Meta only. Drive + Dropbox sync. No rules engine on standard tiers — that's a deliberate choice on Kitchn's part, not a gap. Their own homepage flags "[NOT for teams that] want 'AI magic' to figure it out." Refreshing in a vendor segment full of "AI everywhere." Pick Kitchn if your team wants spreadsheet-shaped, standardized human workflows for Meta-only bulk launch — and pick something else if you want rules with auto-revert at <€50K/yr. Bulk launch workflow comparison →

10. AdManage — Best for cross-platform teams (Meta + TikTok + Google + AppLovin + more) who want fast bulk launch with basic rules

AdManage is the most cross-platform tool on this slate — Meta + TikTok + Google + AppLovin/Axon + Snapchat + Pinterest + Taboola. £99/mo Essential (~$125, 1 ad account), £499/mo In-House (5 accounts), £999/mo Agency (10 accounts). 30-day money-back guarantee. No free tier. Direct peer to Scalemate on multi-platform bulk launch — different on rules depth, playbook library, and free entry tier.

What's in the box

• Launch. Core ("Launch Ads 10x Faster"); positions itself as an own-API alternative to Meta Marketing API per Reddit threads.
• Trigger. Basic — pre-built templates ("Pause underperforming ads ROAS<1.5x", "Scale winning ads", "CPA threshold alerts", "Budget cap protection"). No compound / multi-level inside the standard templates.
• Action. Auto-execute on the pre-built templates.
• Endpoint. Dashboard-first; verify Slack / API outbound at trial time — homepage doesn't foreground it.
• Drive / Dropbox / Frame.io / Box / Air.inc sync. Yes — broadest sync list on this slate.
• AI layer. Mid — AI Namer, AI variations, AI copy generation, Comments AI with sentiment, multi-language auto-translation.
• Platforms. Broadest cross-platform on this list (Meta + TikTok + Google + AppLovin + Snap + Pinterest + Taboola).
• Playbook library. None — pre-built rule templates, not a goal × niche library.

Recent Reddit traction is high and growing. r/FacebookAds, paraphrased: "AdManage.ai is one of the most reliable ones." r/SocialMediaMarketing: "I ended up moving bulk launches to AdManage.ai." r/DigitalMarketing: "Try AdManage.ai. Been using it about 6 months. It's built for the campaign setup / launching side specifically."

We treat AdManage as the closest cross-platform direct peer to Scalemate. AdManage wins on platform breadth (we don't ship AppLovin, Pinterest, or Taboola). Scalemate wins on rules depth, playbook library, and free-entry tier.

See rules with auto-revert and compound conditions → | Bulk launch tools deep-dive →

11. Make.com / n8n / Zapier — DIY workflow builders

If you want to wire your own Facebook connector + triggers + actions + endpoints from scratch, this is the path. Make.com — make.com, free tier (1,000 credits/mo, 2 active scenarios), Core $9/mo, Pro $16/mo. "3,000+ standard apps" connector library. n8n — open-source, self-hostable. Same DIY mindset. Zapier — mainstream connector platform; FB Ads + TikTok Ads connectors via the app directory.

These tools and Scalemate layer better than they substitute. Scalemate ships the ad-ops primitives — bulk launch templates, rules with auto-revert, compound triggers, multi-account, native endpoints — and exposes them via a public API. Plug Scalemate into Airtable, Looker Studio, Notion, your CRM — wherever your team already works. Use n8n / Make / Zapier on top of that for the workflows unique to your business that aren't standard ad ops. The DIY time goes into what only your team knows how to build — not into rebuilding "wait until enough spend, check CPI against benchmark, pause." Advanced AI + connection layer options for ads →

12. Hunch / Pencil / AdCreative.ai — different category (creative production)

The frequently-confused-with bucket. All three are creative production / generation, not optimization automation — different problem. Hunch (hunchads.com) — creative production + dynamic creative + DPA / catalog automation. Demo-only pricing. Pencil (trypencil.com) — "Marketing has an AI operating system now." Aggregates OpenAI + Google + Adobe + Runway + Bria into one creative-generation layer. Claims 50% creative cost reduction, 79% ROAS improvement, 24× markets scaled. AdCreative.ai (adcreative.ai) — "#1 most used AI tool for advertising." Starter $39/mo, Professional $249/mo, Ultimate $999/mo. 7-day free trial / 10 credits. All three feed into an automation tool — they're not a substitute for one. If your bottleneck is "we can't generate enough creatives to test," look here. If your bottleneck is "we can't launch / evaluate / kill / scale fast enough," go back to slot #1, #3, or #10.

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Decision matrix — by job, not by spend tier alone

Spend tier is a starting filter. The job is the actual decision criterion. We've watched a $30K/mo team pick the wrong tool because they filtered on spend and ignored that their actual bottleneck was creative throughput, not rules depth.