# AdOps vs Revealbot

> Revealbot, which now trades as Bïrch, is the broader engine across four ad platforms with more than 20 actions and nested condition logic, while AdOps is a narrower Meta-only rule engine with Google Sheets metrics, campaign-name writes and Rupiah invoicing for the Indonesian market.

Source: https://adops.id/compare/adops-vs-revealbot/
Last updated: 2026-08-20
Publisher: AdOps (https://adops.id) — an independent product, not affiliated with Meta Platforms, Inc.

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## Key facts

- **Revealbot's current brand:** Bïrch (The company's site carries both names as of August 2026.)
- **Platforms - AdOps:** Meta Ads only
- **Platforms - Bïrch:** Meta, Google, TikTok, Snapchat (Per bir.ch, August 2026.)
- **AdOps action catalogue:** 11 actions (Bïrch's site states more than 20.)
- **AdOps external data source:** Google Sheets (Bïrch also lists Google Analytics, Adjust, Hyros, Wicked Reports and AppsFlyer.)
- **Shortest check interval on both:** 15 minutes

**Choose Revealbot when:** Choose Revealbot when you buy on more than one platform, when a rule must read attribution data, or when your logic needs nesting. As of August 2026 Bïrch's own site describes one engine covering Meta, Google, TikTok and Snapchat, more than 20 actions combinable in a single automation, nested conditions with cross-metric comparisons, Slack alerts, and integrations with Google Analytics, Adjust, Hyros, Wicked Reports and AppsFlyer. AdOps has none of those.

**Choose AdOps when:** Choose AdOps when Meta is the only platform you buy on, when your rules need to read a Google Sheet your team already maintains, when you want campaign names rewritten with live metric tokens, and when invoicing in Rupiah through a local gateway matters more than multi-platform breadth.

| Criterion | AdOps | Revealbot |
|---|---|---|
| Ad platforms covered | Meta Ads only. TikTok Ads, Google Ads and Snapchat Ads appear in the product as coming soon. | Bïrch's site describes one engine covering Meta, Google, TikTok and Snapchat. |
| Shortest check frequency | 15 minutes, one of 10 interval options up to 72 hours, or a 7-day by 24-hour timetable of 168 slots. | Bïrch's automation page states every 15 minutes, or a custom schedule. |
| Action breadth | 11 actions, and one task carries one action. | Bïrch states more than 20 actions, and that multiple actions can be combined in a single automation. |
| Condition logic | One condition group per rule combined with AND or OR, using 6 comparison operators. Nested groups are not offered. | Bïrch describes nested conditions, cross-metric comparisons and custom timeframes. |
| Metric vocabulary | 45 rule metrics in 6 categories, each condition carrying one of 11 reporting periods. | Platform metrics plus user-built metrics defined as calculated formulas or static variables. |
| External data as a rule input | Google Sheets only. A custom metric names a spreadsheet id, sheet name, lookup column and value column. | Bïrch lists Google Sheets, Google Analytics, Adjust, Hyros, Wicked Reports and AppsFlyer as rule and custom-metric inputs. |
| Metric versus metric conditions | A condition can compare one Insights metric against another, each on its own reporting period, for standard Insights metrics. | Bïrch describes cross-metric comparisons as part of its advanced rule logic. |
| Campaign-name writes | Three of the 11 actions add, remove or replace campaign-name text, with TEXT, APPEND and OVERWRITE modes and tokens such as {date}, {time} and {metric|spend|today}. | Not described on Bïrch's public automation page. |
| Natural-language rule drafting | A goal written in one sentence returns draft tasks with a confidence score from 0 to 100, placed in the normal rule editor and tagged as AI generated. | Bïrch markets AI-assisted automation and AI recommendations; the drafting workflow is not documented publicly in the same terms. |
| Alerts | None. AdOps sends no Slack message or email when a rule fires. | Bïrch lists Slack and email alerts, plus scheduled reports. |
| Execution evidence | Per campaign and per task - Executed, Not Executed or Skipped, actual against expected for every condition, before and after values, and execution seconds. | Bïrch states every action is logged, showing why each item was or was not affected. |
| Levels acted on | Rules evaluate at campaign or ad-set level; every write path is campaign-shaped. | Bïrch describes rules processing across the full account hierarchy. |
| Pricing model | A subscription invoiced in Indonesian Rupiah through Duitku, after a 14-day trial. | Bïrch states pricing is based on monthly ad spend across all connected ad accounts. |

AdOps and Revealbot, which now trades as Bïrch, both automate ad management with condition-and-action rules that run on a schedule. Revealbot covers Meta, Google, TikTok and Snapchat with more than 20 actions and nested logic. AdOps covers Meta only, with 11 actions, Google Sheets as a data source, and invoicing in Indonesian Rupiah.

## What does Revealbot cover that AdOps does not?

As of August 2026, [Bïrch's automation page](https://bir.ch/manage) states that its rules run every 15 minutes or on a custom schedule, that users can choose from more than 20 actions and combine several actions in one automation, and that rule logic supports nested conditions, cross-metric comparisons and custom timeframes. Its [integrations page](https://bir.ch/integrations) lists Slack for alerts and Google Sheets, Google Analytics, Adjust, Hyros, Wicked Reports and AppsFlyer as data sources for rules and custom metrics.

AdOps has none of that breadth. It runs on Meta Ads only. It offers 11 actions, one per task. Its conditions form a single group combined with AND or OR. Its only external data source is Google Sheets, and it sends no Slack or email alert when a rule fires.

## Where is AdOps genuinely behind?

Four gaps are worth stating plainly before anyone compares feature lists.

Platform coverage: AdOps supports Meta Ads only, and lists TikTok Ads, Google Ads and Snapchat Ads as coming soon rather than supported. A team buying across four platforms would need four tools or one of them.

Condition logic: an AdOps rule holds one condition group. Nested groups are not offered, so logic of the shape "either of these two things, and also this third thing" has to be split across two rules.

Alerting: AdOps does not deliver rule outcomes to Slack or email. The rule log in the dashboard is the only place a run is reported.

Attribution data: AdOps reads Meta Insights and Google Sheets. It has no integration with AppsFlyer, Hyros, Adjust or Wicked Reports, so post-click attribution from those systems cannot be a rule condition unless a human writes the numbers into a sheet.

## What does AdOps do that a broad platform usually does not?

Two things, both narrow and both specific.

Campaign names are a writable surface. Three of the 11 AdOps actions add, remove or replace text in a campaign name, with a mode of TEXT, APPEND or OVERWRITE, a configurable separator, and tokens such as `{date}`, `{time}` and `{metric|spend|today}` that resolve to live values at execution. The shipped "Tag Campaign Performance" template uses this to write each campaign's own numbers into its name, so Ads Manager's campaign list becomes a scoreboard without opening a reporting tool.

Business context arrives through a spreadsheet you already keep. An AdOps custom metric names a Google spreadsheet id, a sheet name, a lookup column and a value column. The engine resolves it at evaluation time, caching rows in memory for 2 minutes with a MongoDB fallback, so a rule can test today's ROAS against a target ROAS that a merchandiser maintains per SKU, or stop scaling a campaign whose product is out of stock.

## How do the two compare on evidence?

Both keep a log, and both make the same promise about it. Bïrch states that every action is logged and shows why each item was or was not affected. AdOps writes a batch record per run and per-campaign, per-task results, and its Rule Log Detail screen shows an Executed, Not Executed or Skipped badge, the action's parameters, the actual value against the expected value for every condition, before and after values where something changed, the execution time in seconds, and the next scheduled execution.

On this criterion the two are close. Neither should be chosen on the strength of its log alone.

## How fast does each one act?

Both quote 15 minutes as the tightest rule cadence. AdOps offers 10 fixed intervals from 15 minutes to 72 hours, or a weekly timetable of 7 days by 24 hours, which is 168 selectable slots. Its dispatcher sweeps for due rules every 10 seconds and fans work out as one job per ad account, retrying entity fetches up to 3 total attempts with waits of 1 second then 2 seconds.

Cadence is not the differentiator here. Both tools react within the same window, and both act on Meta Insights numbers that are themselves attributed and lagging.

## Which one should you choose?

Choose Revealbot if you buy on more than one platform, need Slack alerts, need attribution data as a rule input, or write logic that requires nesting. Those are real capabilities that AdOps does not have and does not claim.

Choose AdOps if Meta is the only platform that matters, if your rules need to read a Google Sheet your team already maintains, if you want campaign names carrying live figures, and if being invoiced in Rupiah through a local gateway is worth more to you than multi-platform breadth. AdOps starts with a 14-day trial from the moment the signup email is confirmed.

AdOps is an independent product and is not affiliated with, endorsed by or sponsored by Meta Platforms or by Bïrch. Meta and Facebook are trademarks of Meta Platforms, Inc.