Language
Contact us

Compare

AdOps compared with the alternatives

AdOps is a Meta-only rule engine, so every comparison here states plainly where a broader tool wins. Each page sets out platform coverage, action breadth, custom-metric sources, condition logic and pricing for AdOps and one alternative, then names the situations in which the other tool is the better choice.

Every page opens with the case for the other tool. If that case fits your account, buy the other tool.

Comparisons

What is the verdict on each one?

The short answer for every comparison on this site, before you open it.

Comparison Verdict
Madgicx AdOps vs Madgicx: Rule Engine or Meta Ads Suite Madgicx is a broad Meta ads suite that spans creative, audience and analytics work alongside automation, while AdOps is only the rule engine, which makes it the narrower and more legible choice for teams that want rules they can read and a log that proves what happened.
Manual management AdOps vs Manual Meta Ads Management A person in Ads Manager sees things no rule can express, while AdOps applies the same threshold at 03:00 that it applies at 15:00 and writes down what it did, so most teams end up automating the decisions they can state as a number and keeping the rest by hand.
Meta Automated Rules AdOps vs Meta Automated Rules Meta Automated Rules are the right default for advertisers who only need Meta's own metrics and a 30-minute check, while AdOps is worth adding when a rule has to read a Google Sheet, run every 15 minutes, or rewrite a campaign name.
Revealbot AdOps vs Revealbot: Meta Ads Rule Automation 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.

Method

How is each comparison written?

Three rules, applied to every page in this section.

Public sources only
Every claim about another tool comes from that tool's own public site or documentation, and each page records the month it was read.
AdOps numbers come from the product
Counts of metrics, actions, reporting periods and check intervals are taken from the shipped rule builder, not from marketing copy.
Where they win is stated first
Each page names the situations in which the other tool is the better buy before it makes any case for AdOps.
The AdOps condition builder showing a task with time-of-day conditions across seven day tags, a nested AND group holding a lifetime spend condition under 400,000, and a second task with four stacked metric conditions. Sample data
Metric, period, operator, value — joined with AND or OR, and nestable, so a rule can say something a dropdown cannot. Read the details

Still not sure which one fits?

Tell us how many ad accounts you run, which platforms you buy on, and what a rule would need to read. If AdOps is the wrong shape, we will say so.

Contact us See pricing

14 days free · no card required · billed in Rupiah

Inside the product

What the screens actually look like

Nine screens from the working dashboard — the rule builder, the metric picker, the dayparting grid and the log that records what happened. Scroll the strip.

  • The AdOps Performance Dashboard showing a Purchase ROAS card at 2.380x and an Aggregated ROAS card at 2.088x, both badged Profitable, a Monthly Budget card at Rp 155jt, and a Spend Breakdown ranking the top five ad accounts against a budget utilisation bar at 45.5 per cent.
    Performance Dashboard. Two ROAS figures to three decimals, a budget meter, and spend ranked by ad account — over Today, Last 7 days, Last 30 days or This month.
  • The AdOps rule list showing twelve automation rules, each with an on/off toggle, the ad accounts it manages, and when it last triggered — some minutes ago, others on a dated timestamp.
    Rule List. Every rule, what it manages and when it last fired. The toggle is the only thing between draft and live.
  • The AdOps condition builder showing a task with time-of-day conditions across seven day tags, a nested AND group holding a lifetime spend condition under 400,000, and a second task with four stacked metric conditions.
    Conditions. Metric, period, operator, value — joined with AND or OR, and nestable, so a rule can say something a dropdown cannot.
  • The AdOps metric picker open over a condition row: a panel with Meta Ads and Custom metrics tabs, a search box, and a scrolling list of metrics with Spend selected.
    Metric picker. Forty-five Meta metrics and your own sheet columns in the same list, each carrying a reporting period and any of six operators.
  • The AdOps dayparting timetable: a grid of hours against the seven days of the week, with the daytime hours filled navy for every day and the night hours and weekend evenings left empty.
    Dayparting grid. Or draw the hours instead. Anything outside the shape you fill in simply does not run.
  • An AdOps execution log detail: one campaign, two action panels badged Not Executed, each listing the action parameters and every condition evaluated with its actual value, its expected value and a Pass or Fail badge.
    Rule Log detail. Why a rule did nothing is recorded as carefully as why it did something — actual against expected, condition by condition.
  • The AdOps activity log listing budget increases and campaign renames, each row naming the affected campaign by id, the rule that caused it and how long ago it happened.
    Activity Log. One row per change AdOps made in your account, naming the campaign and the rule responsible.
  • The AdOps ad account list: eighteen Meta ad accounts with on/off toggles, account ids, Active or Inactive badges and this month’s spend in rupiah.
    Ad Accounts. Accounts discovered from Meta arrive switched off. Nothing is read, and nothing is changed, until you turn one on.
  • The AdOps custom metric editor mapping a Google Spreadsheet: a spreadsheet id, a sheet name, a column to match campaigns on and a column holding the values.
    Custom metric. Point AdOps at a sheet, name the matching column and the value column, and your own number joins the metric list.

Every figure is rebuilt from the product’s own interface and filled with invented data — no customer name, ad account or spend figure appears anywhere on this site. See how a run works