Bïrch Review (2026): Is It Still Worth $99/Month?

Bïrch (the tool you might still know as Revealbot) says its customers run roughly $2 billion in annual ad spend through the platform and execute around 240 million automated actions a year (Bïrch, 2026). At $99 per month for the Pro plan, the obvious question is whether your ad account is one that should be on it. It isn't, for most people. The honest verdict is simple. Bïrch has a quiet price floor of about $20,000 in monthly ad spend. Below that floor, Meta's free native rules cover most of the same ground. Above it, the math flips fast.

What is Bïrch (and why is it called that now)?

Bïrch is a rule-based ad automation SaaS that sits on top of Meta, Google, TikTok, and Snapchat to handle the routine parts of paid-media ops: scaling winners, pausing losers, sending alerts, and rebalancing budgets. The company rebranded from Revealbot to Bïrch in 2025 to signal a wider product suite, but the core product hasn't been replaced or rewritten. Old Revealbot accounts are now Bïrch accounts.

The brand now wraps four named pieces. Bïrch core is the rule engine and reporting suite that media buyers actually open every day. Hub is a server-side conversion-tracking layer with its own event-based pricing — relevant if iOS attribution loss has eaten a chunk of your reported ROAS. Stage is the creative-insights module that surfaces which ad creatives actually drove the conversions. Keiki is the mobile app for monitoring rules and rule firings on the go. Most accounts only ever use core plus one of the other three.

The company says customers collectively run about $2B in annual ad spend through the platform and that the rule engine fires roughly 240M automated actions a year (Bïrch, 2026). Those are vendor-reported numbers, not audited, but the order of magnitude lines up with public Capterra and G2 review counts and the partnership badges from Meta, Google, TikTok, and Snap.

How much does Bïrch cost in 2026?

Bïrch costs $49/month on the Essential plan and $99/month on the Pro plan, both capped at $10K of monthly ad spend, with a custom-quoted Enterprise tier above that. Pro is the most-used plan, and the 14-day free trial unlocks the full feature set with no credit card required. Hub server-side tracking is priced separately on events: free up to 10K events per month, and $499/month at 150M events.

Two pricing details usually trip up first-time buyers. First, the Essential plan looks cheap until you blow past $10K in monthly ad spend, at which point overage fees start applying — the Pro plan is the actual baseline for anyone running real budgets. Second, the Hub product is sold separately, so a "Bïrch costs $99" line in your finance ticket is incomplete if you're paying for tracking events too. The annual discount knocks 20% off either core tier and is the cleanest way to bring Pro under $80/month effective.

The 14-day no-credit-card trial is genuinely full-featured. That matters because the only honest way to evaluate Bïrch is to wire it up to a real ad account and run real rules against real spend. Demo videos won't tell you whether the rule builder fits your team's mental model.

What Bïrch actually does well

Bïrch's core strength is rule logic that goes beyond what Meta, Google, or TikTok offer natively. Reviewers consistently report saving 10 to 20 hours per week on routine optimisation, and the platform holds a 4.6/5 average across 73 verified Capterra reviews — one of the higher scores in the paid-ads category. The recurring praise theme is "I built rules I literally couldn't build inside Meta."

The rule engine is multi-condition (combine ROAS, CPA, frequency, and CTR thresholds in a single rule), time-windowed (1-day, 3-day, 7-day rolling windows on the same metric), and works across accounts and platforms in one pass. Slack and Google Sheets integrations come standard, so a rule can pause an ad and drop a formatted alert into the team channel without a Zapier workaround. Stage layers creative-level reporting on top, which is the part that tends to convert a renewal: rule firings stop being mysterious once you can see which creative caused them.

Independent industry benchmarks are consistent with the claim. A 2025 client survey by Fluency found that AdOps teams using AI and automation tooling spend 51% less time on weekly campaign optimisation, and that automated budget management alone cuts time spent on budgeting by 63%. None of that is unique to Bïrch (it's the category benefit), but Bïrch is one of the few products that delivers it across Meta, Google, and TikTok in a single rule engine. For the broader question of where AI helps in paid media, see our take on AI running ads vs analysing them.

In our own setup, the most useful Bïrch rule wasn't a scaling rule. It was a creative-fatigue pause. When frequency on a Meta ad set crossed 3.5 inside a 7-day window and CTR dropped more than 20% from the rolling average, pause the ad and post the asset name to Slack. We tried to build the equivalent natively in Meta and gave up after about 20 minutes. Native rules can pause on frequency or on CTR, but not on CTR relative to the trailing average. Whether that single rule is worth $99/month is the real question, and it depends entirely on how many ads you have running.

Where Bïrch falls short

Three weaknesses come up repeatedly across Capterra and G2 reviews, and they're durable rather than cosmetic. The interface has a steep learning curve. The pricing is unfriendly to small budgets. And the bulk-edit story across many accounts is weaker than agencies expect.

The learning curve is real and worth budgeting for. Plan on a half-day per operator to build their first three rules and another half-day to learn how rule firings cascade when conditions overlap. One Capterra reviewer phrased it bluntly: the interface "is very time consuming to learn and isn't really user friendly." That's a fair description, and it's not solved by the docs. It's solved by writing rules until the abstraction clicks.

The agency-side complaint is subtler. Bïrch supports multiple workspaces, but bulk-editing rules across thirty client accounts is still slower than it should be, and there's no white-label option, so client-facing reports show the Bïrch brand. If you're a paid-media agency, those two gaps matter more than the price difference between Pro and Enterprise.

How Bïrch performs on TikTok and Google (not just Meta)

Most published Bïrch reviews focus on Meta because that's where 70% or more of users start. The cross-platform story is real but uneven: full rule automation, post boosting, and reporting work on TikTok and Google Ads, with Snap also covered, but the depth and the rule-builder polish on non-Meta platforms is shallower than on Meta.

What works well across all four platforms: scaling rules on ROAS or CPA, frequency-based pausing on Meta and TikTok, dayparting, Slack alerts, and consolidated reporting in one dashboard. What works less well off-Meta: creative-level reporting on TikTok lags Meta in granularity, Google Ads automation overlaps heavily with Google's own enhanced rules and smart bidding (so the marginal value is smaller), and Snap automation is supported but rarely the reason anyone signs up.

The honest read on cross-platform support is that Bïrch is a Meta-first product with Google and TikTok modules bolted on. That's not a criticism. It reflects where customers actually run their spend. But if your operation is 70%+ Google Ads, you'll get more out of Google's native automated rules and smart bidding than you will out of Bïrch, and you'll save the $99. Bïrch is the right answer specifically when your account mix forces you to keep state across multiple ad platforms and you're tired of doing it in spreadsheets.

Bïrch vs Meta's native automated rules (the comparison nobody makes)

Below roughly $20,000 per month in single-account Meta spend, Meta's free native automated rules plus a Slack webhook reproduce about 80% of Bïrch's everyday value. The case for Bïrch sharpens above that threshold or once you're managing three or more ad accounts, multiple platforms, or rules that need cross-account logic. This is the comparison almost no review makes. Every published "Bïrch alternatives" piece compares it to other paid tools, never to the free option that's already wired into your ad account.

Three things Meta's native rules genuinely can't do. They can't reference rolling baselines (yesterday's CTR vs. the trailing 7-day average). They can't run logic that spans more than one ad account in one rule. And they can't combine paid platforms. One rule, Meta and Google together, is a Bïrch-only thing. Top advertisers report saving 10 to 20 hours per week using rule-based automation generally. Most of those reports come from accounts running multi-platform spend at scale. The savings on a single-account Meta-only setup are real but smaller, and that's where the $99 starts to look optional.

Here's the rule of thumb. Add up your monthly ad spend, multiply by 0.5%, and compare that to the $99 Pro fee. If the spend-derived number is bigger than $99, Bïrch is probably worth it. If it isn't, Meta's free rules are. That's not a precise model, but it's a defensible first cut, and it gets you to the right answer faster than reading another aggregator review will.

Best Bïrch alternatives in 2026

Three alternatives come up repeatedly in 2026 buyer research. Madgicx is the AI-driven, Meta-focused option, better if you want recommendations more than control, and worse if you need cross-platform automation. Smartly.io is the enterprise option, generally positioned for advertisers spending $500K+ per month, and overkill below that. AdRoll is the cross-channel option with lighter automation depth, often the right pick for ecommerce teams that already use it for retargeting.

The honest take: of the four paid alternatives, only Madgicx overlaps materially with Bïrch's typical buyer, and the Madgicx pitch is essentially "we'll think for you" while the Bïrch pitch is "we'll give you the controls." Pick based on which one your team actually wants. Smartly and AdRoll are usually a different conversation entirely. Meta's native rules are the unspoken fifth alternative, and they're free.

The verdict: who should sign up for the Bïrch trial?

For paid-media operators running $20,000 or more per month, especially across multiple accounts or multiple platforms (Meta plus TikTok plus Google), Bïrch is worth the 14-day no-card trial. Build three real rules during the trial, fire them against real spend, and if they save you more than the $99 monthly fee in time or in averted overspend, the buying decision makes itself.

For solo operators running a single Meta account under $20K/month, the honest answer is to spend an afternoon learning Meta's free native automated rules first. Wire them to a free Slack webhook, build the same scale-winners and pause-on-frequency rules natively, and only revisit Bïrch once the spend or the account count grows past where the native tools comfortably cover. The 4.6/5 Capterra rating is real, but those reviews come overwhelmingly from accounts above the threshold, and applying their satisfaction to your sub-$20K setup is the kind of mistake the marketing site quietly counts on. If you're evaluating other AI-native marketing SaaS in the same buying cycle, our Optimeleon review of the AI CRO category walks through a similar verdict structure.

Frequently asked questions

Is Bïrch the same product as Revealbot?

Yes. Bïrch is the rebranded name for Revealbot: same company, same core rule engine, broader product family that now includes Hub (server-side tracking), Stage (creative insights), and the Keiki mobile app. Existing Revealbot accounts moved to Bïrch automatically when the rebrand shipped in 2025.

How much does Bïrch cost?

Bïrch costs $49/month on the Essential plan and $99/month on the Pro plan, both with a $10K monthly ad-spend ceiling. Enterprise is custom-quoted with no spend cap. The 14-day free trial unlocks the full feature set and doesn't ask for a credit card (Bïrch, 2026). Hub server-side tracking is priced separately on event volume.

Is Bïrch worth it for a $5,000-per-month ad budget?

Probably not. The Pro plan is $99/month, and at $5K spend that's roughly 2% of media as software cost. The same money buys a lot of working budget. Meta's free native rules cover roughly 80% of typical use cases at that scale. Revisit Bïrch once monthly spend crosses $20K or you're juggling more than two ad accounts.

Does Bïrch automate TikTok and Google Ads, or only Meta?

Bïrch supports rule automation, post boosting, and reporting across Meta, Google Ads, TikTok, and Snap. Meta has the deepest feature parity. TikTok is well-supported. Google Ads automation works but overlaps with Google's own native rules, so the marginal value depends on whether your account mix needs cross-platform logic in one rule engine.

Bïrch vs Madgicx — which one should I pick?

Different tools for different temperaments. Bïrch gives you granular rule control across Meta, Google, and TikTok. Madgicx gives you AI-driven recommendations and stays primarily on Meta. Pick Bïrch if you want the controls. Pick Madgicx if you want the suggestions. Both run roughly the same monthly cost at the entry tier.

What to do next

Before you start the trial, do one thing: pull your last 30 days of Meta ads data and write down how many manual interventions you made (pauses, scaling, budget shifts). That number is your real baseline. The trial's job is to convert as many of those manual touches as possible into rule firings, and to tell you whether the time saved beats the $99 Pro fee. If you can't get above seven or eight automated firings a week, you're under the threshold where Bïrch pays back. That's a useful answer, not a failed trial.

If paid-media efficiency is the wider workflow you're tightening, our walkthrough of running an AI-powered PPC audit with Claude Code covers the audit half of the same loop. If your bottleneck isn't ad operations but the reporting layer that feeds them, the piece on replacing manual marketing reporting with AI hits the adjacent automation problem with the same lens. And if creative production is the next thing your team wants to automate, our notes on using ChatGPT Images for marketing cover the asset side of the paid-media stack.