This page is an honest, side-by-side read on Madgicx versus Revealbot (now Bïrch) for performance marketers, agencies, and ecommerce teams choosing between the two in 2026. Both tools are well-known in the Meta-ads ecosystem and both come up repeatedly in the same vendor evaluations - "madgicx vs revealbot" is one of the search queries most teams type when the shortlist is down to these two. The matrix in the middle is factual. The verdict at the bottom is opinionated, and includes a third option neither tool centers on.

A note on the rebrand
Revealbot is now Bïrch. The rename happened in October 2024 and is announced on the Bïrch company blog, where the team frames the move as a refocus on blending automation with creative testing. The product, the team, and the API are continuous; only the brand name moved. G2 lists the product as "Bïrch (ex. Revealbot)" and most search traffic still uses the legacy "Revealbot" name. This page treats the two names as one product and uses whichever makes the sentence cleaner. Madgicx, for its part, is unchanged - same brand, same Meta-ads positioning since launch.
What each tool is, in one paragraph
Madgicx is an AI-powered optimization platform for Meta ads, marketed as a "super app for Meta ads" and an "E-commerce Ad Cloud" (Software Advice listing). The product is organized around AI bidding automation, Audience AI for prospecting and lookalike alternatives, creative scoring, generative-AI ad production, and analytics. The daily job is improving the performance of ads that are already running on Meta - not bulk-launching new ones. Madgicx Pro Complete starts at $99 per month and pricing scales with monthly Meta ad spend, according to the G2 pricing listing. A separate Cloud Tracking add-on costs $49 per month for server-side attribution. The product is Facebook and Instagram only; Google Ads, TikTok, and Snapchat are not in scope.
Revealbot (now Bïrch) is a multi-network ad automation platform that has been on the market since 2016. The product center is the rules engine: pause ads if a metric crosses a threshold, scale budgets when ROAS clears a target, alert in Slack the moment a campaign changes state. On top of that the platform layers Launcher for bulk ad creation, Stage for creative testing, Explorer for analytics, an audience builder, and integrations with Slack, Google Sheets, AppsFlyer, and Hyros. Networks supported per the Bïrch pricing page are Meta (Facebook + Instagram), Google, TikTok, and Snapchat. G2 reviews carry a 4.6 out of 5 rating.
Pricing at a glance

$99/mo
Scales with monthly Meta ad spend
$49/mo
Server-side attribution
$49/mo
Up to $10K managed ad spend
$99/mo
Adds automation rules, scales with spend
Source: G2 pricing listing for Madgicx and Bïrch pricing page (bir.ch/pricing), May 2026
The pricing models are structurally similar, which is the point that matters more than the dollar number. Both tools price by managed ad spend, not by ad accounts or storage.
Madgicx Pro Complete at $99 per month is the floor; the actual monthly invoice climbs with managed Meta spend, and the published plan documentation walks through how the brackets work. The model fits a tool whose value scales with the size of the budget it is optimizing - more spend means more decisions, more bid adjustments, more audience signal to chew on. Cloud Tracking at $49 per month is a separate line item for server-to-server attribution, used by some teams as a Meta CAPI proxy.
Bïrch Essential at $49 per month covers up to $10,000 in managed ad spend, then meters overages per the published pricing page. Pro at $99 per month is the popular tier - it unlocks the automation rules engine, Launcher, Stage, the audience builder, and the third-party integrations - and also scales with managed spend. Enterprise is custom and adds onboarding plus premium support. There is a 14-day free trial with unlimited feature access.
The practical difference between the two pricing pages: Madgicx does not publish a hard managed-spend cap on the entry tier the way Bïrch does, but invoices climb against Meta ad spend in either case. A solo brand running $20,000 a month in Meta spend pays Madgicx whatever the spend bracket says (plus optional $49 for Cloud Tracking) and pays Bïrch whatever its own bracket says above the $10,000 Essential cap. Above either cap, both products scale in price as the team's ad spend scales.
The honest pros and cons
Madgicx
Pros
- AI bidding and budget optimization on Meta
- Audience AI for prospecting, retargeting, and lookalike alternatives
- Creative scoring and generative-AI ad production
- One-Click Report for client and internal reporting
- Server-side Cloud Tracking add-on for post-iOS-14 attribution
- 4.6 out of 5 on G2 from 211 reviews (G2 listing)
- Long track record on Meta optimization specifically
Cons
- Meta only - no Google Ads, no TikTok, no Snapchat
- Pricing scales with monthly Meta ad spend, which gets expensive at scale
- 2.1 out of 5 on Trustpilot from 269 reviews (Trustpilot page), with recurring trial-to-billing complaints
- Not built for high-volume bulk launching of new creative variants
- Tracking add-on is a separate $49/month line item
- No multi-placement auto-grouping for 4×5 and 9×16 variants of the same creative
Revealbot (Bïrch)
Pros
- Mature rules-based automation engine for Meta, Google, TikTok, and Snapchat
- Slack alerts when a rule fires or a campaign changes state
- Launcher, Stage (creative testing), Explorer (analytics), and audience builder
- Integrations with Google Sheets, AppsFlyer, and Hyros for warehouse-led attribution
- 4.6 out of 5 on the G2 listing for Bïrch (ex. Revealbot)
- 14-day free trial with unlimited feature access
- Long track record on multi-network ad automation
Cons
- Pricing scales with monthly ad spend, which gets expensive at scale
- The bulk Launcher is real, but not built for shipping 100+ variants from a creative library in a single pass
- No multi-placement auto-grouping for 4×5 and 9×16 variants of the same creative
- The rebrand from Revealbot to Bïrch in October 2024 caused real confusion in support docs and SEO surfaces
- Rules engine has a learning curve - teams that under-use the automation pay for value they do not capture
- Less generative-AI creative tooling than Madgicx
Feature matrix
| Capability | Madgicx | Revealbot (Bïrch) | uplads |
|---|---|---|---|
| AI bidding and budget optimization on Meta | Partial (rules-based) | ||
| Audience AI / lookalike alternatives | Partial (audience builder) | ||
| Generative-AI creative production | |||
| Creative performance scoring | Partial (Stage) | ||
| Rules-based automation engine (pause / scale / alert) | Partial | ||
| Slack alerts on rule firing | |||
| Bulk ad creation as a core wedge | Partial (Launcher) | ||
| Multi-placement auto-grouping (4×5 + 9×16 collapsed into one ad) | |||
| Per-ad failure isolation on a 50-ad batch | n/a | n/a | |
| Token-based naming template applied at launch | Partial | ||
| Catalog enhancement on every ad in a batch | Partial | ||
| Analytics dashboard | yes (Explorer) | ||
| Creative testing surface with lift tracking | yes (Stage) | ||
| White-label client reporting | yes (One-Click Report) | ||
| Facebook + Instagram support | |||
| Google Ads / Performance Max | In scope | ||
| TikTok ads | In scope | ||
| Snapchat ads | |||
| Server-side tracking layer | yes (add-on) | Partial (via Hyros) | |
| Third-party integrations (GSheets, AppsFlyer, Hyros) | Limited | yes (Pro+) | |
| Pricing scales by | Managed Meta ad spend | Managed ad spend | Ad accounts and storage |
| Starting paid price | $99/mo (Pro Complete) | $49/mo ($10K spend cap) | 29€/mo |
| G2 rating | 4.6 / 5 (211 reviews) | 4.6 / 5 | n/a (new product) |
Three columns, three centers of gravity. Madgicx is mostly green on the AI optimization, generative creative, and Meta-only depth axes. Bïrch is mostly green on the post-launch automation, multi-network, and integration axes. uplads is mostly green where the launch-day workflow lives - grouping, naming, failure isolation, catalog, drag-drop bulk - which is not the wedge of either Madgicx or Bïrch.
Where Madgicx wins
AI bidding and budget optimization on Meta. This is the Madgicx wedge. The platform automatically adjusts budgets, applies bid logic against live Meta campaigns, and uses machine learning to lift ROAS. Bïrch's automation engine is rule-based - the team writes the conditions; Bïrch executes them. Madgicx's automation is AI-first - the team sets the goal; Madgicx decides the moves. For media buyers who would rather state intent than draft fifteen if-then conditions, Madgicx is the more direct fit on Meta.
Audience AI. Madgicx Audience Studio surfaces audience suggestions, lookalike alternatives, and retargeting segments based on the account's performance signal. Bïrch has an audience builder, but the depth of automated audience discovery is a Madgicx strength specifically. Teams whose weekly pain is "we have run out of audience ideas" lean on the Madgicx side here.
Generative-AI creative production. Madgicx includes generative-AI ad creation - prompt-driven static and video creative made for Meta ad placements. Bïrch does not include generative-AI creative tooling at the same depth. For teams that are short on a designer and short on production capacity, the Madgicx generative surface is a real lever.
Creative scoring and One-Click Report. Madgicx's Creative Insights scores live creatives on performance dimensions, and the One-Click Report ships a client- or internal-friendly performance summary. Bïrch's Stage covers creative testing and Explorer covers analytics, but client-facing reporting is more polished on the Madgicx side.
Server-side tracking add-on. Post-iOS-14 attribution is a real pain on Meta. The Madgicx Cloud Tracking add-on at $49 per month is a server-to-server tracking layer some teams use as a Meta CAPI proxy. Bïrch covers part of this story through its Hyros integration on Pro, but the path is "buy and integrate Hyros" rather than "add the Madgicx add-on."
Where Revealbot (Bïrch) wins
The automation rules engine. This is the Bïrch wedge and there is no honest comparison on this axis. The platform lets a media buyer compose rules like "pause any ad with CPA > $X over the last 3 days" or "scale budget +20% on any ad set with ROAS > 2.5x over 7 days" and run them across Meta, Google, TikTok, and Snapchat in one place. Madgicx has automation surfaces, but the depth and breadth of the Bïrch rules engine is in a different category. If the team's week depends on automated pause and scale logic, Bïrch is the right tool.
Multi-network coverage. Bïrch supports Meta, Google, TikTok, and Snapchat on the same platform. Madgicx supports Facebook and Instagram and stops there. For a brand running real budget across more than Meta - which describes most ecommerce teams in 2026 - Bïrch covers a larger fraction of the weekly job by definition.
Slack alerts and ops-grade monitoring. Bïrch fires Slack notifications when rules trigger, when budgets change, when something breaks. Performance teams that run paid ads as an operational surface (not a weekly cron job) lean on those alerts. Madgicx does not push notifications to Slack in the same operational way.
Third-party integrations. Bïrch Pro and above integrate with Google Sheets for data export, AppsFlyer for mobile attribution, and Hyros for server-side attribution. Teams running warehouse-led measurement strategies use those integrations as part of the daily flow. Madgicx has its own tracking add-on but does not match the same integration breadth.
Cleaner free trial economics. Both tools offer 14-day trials with unlimited feature access. Bïrch's published cap on the Essential plan ($10K managed spend) makes the entry-tier math legible at signup. Madgicx's bracket structure is published but less discoverable - and the Trustpilot complaint cluster (269 reviews, 2.1 stars) is mostly about trial-to-billing surprise, which is the kind of friction that costs the team time even when the underlying tool is good.
The gap both tools leave

Both Madgicx and Bïrch include some bulk creation surfaces, and both are honest about its existence. Neither has bulk creation as the wedge of the product. Madgicx's wedge is AI-driven optimization; Bïrch's wedge is rules-based automation; the launch surface is attached to either of those wedges, not the center of either.
The agencies and in-house teams that show up in the r/marketing thread on Madgicx vs Revealbot describe a different weekly pain on top of the optimization decision: shipping 30 to 200 new ad variants cleanly across one or more networks, every Monday, with a naming convention enforced at launch. That pain is upstream of both AI optimization and automation rules. The AI bid adjustment is what happens once the ads have spend data. The pause-and-scale rule is what happens once the ads have a few days of signal. The launch is the prior step, and it is the step both Madgicx and Bïrch treat as an attachment to the main job.
This is the wedge uplads was built inside. Drag in 50 to 200 creatives, pick ad sets across one or many ad accounts, pick a naming template, click launch. A background worker creates the ads in batches of fifty against the Meta Marketing API, with per-ad failure isolation and multi-placement grouping handled automatically (see the multi-placement product page). Meta is in production today; Google Performance Max and TikTok ad groups are in scope on the same upload screen. Pricing is by ad account count and storage, not by managed ad spend.
When we evaluated the existing tools on the market while building uplads, the recurring shape was this: the Meta-ads automation category is mature on the optimization side - Madgicx for AI, Bïrch for rules - and underbuilt on the launch side. Both downstream tools optimize beautifully against ads that already exist. The work of getting clean ads onto the network in the first place was where teams kept leaning on spreadsheets, Notion macros, and the manual Ads Manager flow.
Try the launch step that Madgicx and Bïrch both treat as a feature
Every uplads plan starts with a 14-day free trial - full feature access, no credit card up front - enough to push a real bulk launch and decide whether the time saving holds up against the way the team ships ads today.
When to use which
Pick Madgicx when: the weekly motion is AI-driven optimization on Facebook and Instagram specifically, the team needs generative-AI creative production and creative scoring, and Meta is the only network that matters for the budget. Pro Complete at $99 per month is the realistic working tier, plus $49 for Cloud Tracking if the attribution stack needs it.
Pick Revealbot (Bïrch) when: the weekly motion is running automation rules across live spend on Meta, Google, TikTok, or Snapchat, the team needs Slack alerts on rule firing, and warehouse-led measurement (AppsFlyer, Hyros) is part of the attribution stack. Pro at $99 per month is the realistic working tier.
Pick uplads when: the weekly motion is shipping 30 to 200 new ad variants cleanly, multi-placement grouping (4×5 + 9×16) and a token-based naming convention are non-negotiable at launch, and pricing by ad account count beats pricing by managed spend for the team's growth curve. The free trial is 14 days with no credit card.
Use them together when: budget is mid five figures or more monthly, weekly creative volume is high enough that bulk launch savings dominate, and either AI optimization (Madgicx) or rules-based automation (Bïrch) is non-negotiable. uplads launches the weekly batch; Madgicx optimizes Meta with AI; Bïrch automates the broader network mix with rules. All three tools read and write the same network ad object graphs through the platform APIs, so the ads launched in uplads on Monday morning are visible to Madgicx and Bïrch by Monday afternoon.
What uplads does not do, said plainly
In the spirit of the truth rule on this site, the things uplads does not do that Madgicx or Bïrch do:
- AI bidding or AI-driven budget optimization. uplads launches; Meta or your chosen optimization layer optimizes.
- Audience AI and lookalike alternatives. uplads does not build audiences.
- Generative-AI creative production. Bring your own creative; uplads handles the launch.
- Automation rules engine. No "pause if CPA > X / scale if ROAS > Y" logic in the current product.
- Slack alerts. uplads does not push notifications when something changes on the network side.
- Analytics dashboard. Use GA4, a warehouse, or a BI tool for that.
- Snapchat support. Not in uplads today.
- Third-party integrations (Google Sheets, AppsFlyer, Hyros). Not in uplads today.
If any of those is non-negotiable for the week, Madgicx or Bïrch (or another tool in this space - AdEspresso for split test generation, Smartly.io for enterprise multi-channel creative production) is the right call and this page does not pretend otherwise. See the Madgicx alternatives and Revealbot alternatives pages for the broader market.
Verdict
Madgicx for AI-driven optimization on Meta. Revealbot (Bïrch) for rules-based automation across Meta, Google, TikTok, and Snapchat. Neither is built around bulk launch as the wedge - that is the gap uplads fills.
The two tools occupy two different optimization philosophies (AI vs rules) on the downstream side of the weekly ad ops cycle. The bulk launch step is upstream of both, and it is where uplads fits.
For a team whose week is AI-driven optimization on Facebook and Instagram with generative-AI creative production and one-click client reporting, Madgicx is the more direct fit. For a team whose week is automated pause and scale logic across Meta, Google, TikTok, and Snapchat with Slack alerts and warehouse-led integrations, Revealbot (Bïrch) is the more direct fit. For a team whose week is launching dozens of new ad variants cleanly across networks - the step that happens before either AI scoring or rule firing kicks in - neither tool centers on that job, and uplads does. See uplads vs Madgicx and uplads vs Revealbot for the head-to-heads, adespresso vs revealbot for the third common pairing in this space, or Madgicx alternatives and Revealbot alternatives for the wider market.
