Revealbot (Birch) vs Madgicx 2026, Priced by Spend
Revealbot vs Madgicx, which is better in 2026?
Birch (formerly Revealbot) is better if you write your own rules: 20+ actions checked every 15 minutes across Meta, Google, TikTok and Snapchat, with rules on Pro at $99/mo up to $10K of spend. Madgicx is better if you want AI suggestions, rules and an ad generator in one Meta toolbox; its price shows in-app (as of 1 Oct 2026).
Bach.ai is our product, a third kind of tool, so we are not neutral here. Our verdict: Birch (formerly Revealbot) is the better buy if you already know the rules you want, and it publishes its prices by spend. Madgicx is the better buy if you want AI suggestions, a chat and creative tools alongside rules in one Meta platform. Either way, a rule only fires on a condition someone anticipated.
How do Revealbot and Madgicx differ?
Both columns come from each vendor’s own pages (bir.ch, Birch Explorer, madgicx.com, Madgicx vs Birch), read on 1 Oct 2026.
| Birch (formerly Revealbot) | Madgicx | |
|---|---|---|
| Core idea | Rules: nested conditions, custom metrics, 20+ actions, checked every 15 minutes | An AI Marketer that audits the account and prepares changes you launch in one click |
| AI | Birch AI turns a sentence into a rule; an MCP for AI assistants | “Chat with your meta ads data”; an AI Ads Generator |
| Creative insight | Explorer: “spot fatigue, find top assets” | Creative Insights (creative analysis over time) |
| Platforms | Meta, Google, TikTok, Snapchat | Meta ads; reports also combine Google and Shopify data |
| Also | Bulk launches, post boosting, Slack alerts, white-label reports | Automated rules, a Tracking Pro add-on ($49/mo), Meta Business Partner |
| Trial | 14 days, no card | 7 days, then it upgrades to a paid plan |
How much do Birch and Madgicx cost at your spend?
Birch prices by monthly ad spend across all connected accounts and shows every step on its pricing page. Madgicx shows its price inside the app after you pick a spend bracket on its pricing page. Its own pages quote $45/mo at $2,500 of spend, “from $99/month” in its academy, and from $49/mo on Shopify.
| Monthly ad spend | Birch Essential | Birch Pro (rules) | Madgicx |
|---|---|---|---|
| $2,500 | $49 | $99 | $45/mo (its own comparison page) |
| Up to $10K | $49 | $99 | Shown in the app |
| Up to $30K | $149 | $249 | Shown in the app |
| Up to $75K | $299 | $499 | Shown in the app |
| Up to $150K | $499 | $799 | Shown in the app |
Prices are monthly billing as of 1 Oct 2026. Birch’s annual billing is lower ($45 and $91 a month at up to $10K). Birch Essential has no automated rules; they start on Pro.
Is Birch the same as Revealbot?
Yes. Revealbot is now Bïrch, usually written Birch. revealbot.com redirects to bir.ch, and the site’s pages are titled “Bïrch (Revealbot)”. The product is still built on rules (“Rules are the engine Birch runs on”), and it has added Birch AI, which drafts a rule from a sentence, and an MCP for AI assistants.
When do automation rules work best?
A rule is a hypothesis you have already made, written down and left running. “Pause the ad set if 3-day ROAS falls under 1.5” encodes a belief that 3-day ROAS under 1.5 reliably means the ad set is bad. When the belief is right, the rule saves you the check.
Rules work when three things hold:
- the failure mode is known: you have seen it before and can describe it in a sentence;
- the threshold is stable: the number that separates good from bad doesn’t move much week to week;
- the action is unambiguous: once the condition trips, there is one sensible response.
Budget guardrails, hard spend caps and pausing an ad that has spent three times its target CPA with no conversions all fit. You may not need a third-party tool for them. Ads Manager has automated rules built in, which can turn ads off or on, adjust a budget or bid, or notify you.
Where do rules run out?
A rule can only fire on a condition somebody anticipated, and the costliest leaks are often the ones nobody wrote a rule for.
- Learning-phase resets. Rules can cause them. Meta treats a budget change as possibly significant depending on its size: $100 to $101 is unlikely to restart learning, but $100 to $1,000 may (Meta). A budget rule that scales in big steps can keep sending ad sets back into learning. See Which Meta ad edits reset the learning phase?
- Overlap between your ad sets. When two of your ad sets enter the same auction, Meta enters only the higher-value one, so they never bid against each other. The other one can underspend or stay stuck in learning, though (Meta). No single metric crossing a line shows that; you have to compare ad sets.
- Rule sprawl. Every incident adds a rule. A year later there are dozens, some contradict each other, and nobody will delete rule 12 in case it matters.
- Threshold rot. The numbers were right when written. Then seasonality moved, the offer changed or the auction shifted, and the rules kept firing on stale thresholds.
None of this means rules were the wrong call. It means they need a review on a schedule, and something that looks for the problems they cannot see.
Which should you choose?
Choose Birch if you can write the playbook down, you run ads on Meta, Google, TikTok or Snapchat, and you want bulk launches, post boosting and Slack alerts. Its rules start at $99/mo at up to $10K of spend.
Choose Madgicx if Meta is your channel and you want AI suggestions, a chat on your data, an ad generator and rules in one place. Read its price in the app, and note that the trial converts after 7 days.
For each one’s alternatives, see What are the best Madgicx alternatives in 2026? and What are the best Revealbot (Birch) alternatives in 2026?
When is Bach.ai the wrong choice?
Bach.ai, our product, sits above both: instead of firing on conditions you wrote, it audits the whole account, ranks every leak by its money impact, and executes the fix once you approve. Starter is $99/mo and Pro $149/mo, each including $10k/mo of ad spend, then 1% or 1.5% above; at $30k/mo that is $299 or $449 (pricing). The side-by-side with Birch is at Bach.ai or Birch (Revealbot) — which should you pick?
It is the wrong choice if you want deterministic rules firing every 15 minutes, campaigns on TikTok or Snapchat, or AI creative at volume. It has no rules engine, covers Meta and Google Ads, and makes at most 50 creatives a month on Pro. At $30k of spend its Pro plan costs $449 against Birch Pro’s $249. Guardrail rules and a periodic audit can run side by side.
How do you test either in a week?
- Export the last 30 days: in Ads Manager’s reporting table, click Export at the top right for a .csv baseline (Meta).
- Write the three rules you would set first, each as one condition and one action.
- Build them in Ads Manager’s own rules: select the ad set, click More, then Create a new rule (Meta).
- Trial Birch (14 days, no card) and Madgicx (7 days, then paid) with the same three rules.
- Note which tool flagged a problem none of your rules described, and keep that one.
For the wider field, see What is the best Meta Ads tool in 2026?
FAQ
Is Revealbot still available?
Revealbot is now Bïrch, usually written Birch. revealbot.com redirects to bir.ch, where the rules engine, Explorer and Launcher sit on the Pro plan at $99/mo for up to $10K of monthly spend. Essential, at $49/mo, has no automated rules (as of 1 Oct 2026).
Which is cheaper, Birch or Madgicx?
At $2,500 of monthly spend, Madgicx’s own page quotes $45/mo against Birch Pro’s $99. Above that, Birch publishes its prices ($249 for Pro at up to $30K of spend), while Madgicx shows its price only in the app, so compare at your own spend (as of 1 Oct 2026).
Do I need a rules tool at low spend?
Often not. Ads Manager has automated rules built in: they can turn ads off or on, adjust budgets or bids, or notify you when your conditions are met. At low spend with few decisions a week, those rules and a weekly review may be all you need.
Sources: Birch pricing, Birch, Birch Explorer, Madgicx, Madgicx pricing, Madgicx vs Birch, Madgicx academy, Meta: automated rules, Meta: create an automated rule, Meta: significant edits, Meta: auction overlap, Meta: export performance data (checked 1 Oct 2026).