Use cases
Meta Ads automation playbooks, by advertiser type
AdOps publishes a playbook for each kind of Meta advertiser: e-commerce scaling, lead generation, agency multi-account work, dayparting and budget protection. Every playbook states the situation it fixes, then lists the actual rules — conditions, reporting periods and actions — that a team in that situation writes inside AdOps.
No case studies and no unnamed customers. Each page is a set of rules, printed the way the rule builder prints them, with the reasoning behind every threshold.
Playbooks
Which playbook matches your account?
Each one names the advertiser it was written for, so start with the description that sounds like your week.
Sample data -
E-commerce scaling
Budget-scaling rules for a D2C advertiser who needs winners to grow and losers to stop on the same schedule.
- Written for
- A D2C brand buying Meta traffic every day, where three or four campaigns carry most of the revenue.
-
Lead generation
Rules that hold a cost-per-lead target by comparing spend and lead volume in the same window, then pausing or resizing the campaigns that miss it.
- Written for
- A lead-gen advertiser with a cost-per-lead number the sales team agreed to, and a form that has to keep filling.
-
Agency multi-account
One rule shape applied across client ad accounts, with each client's ROAS target and monthly cap read from a Google Sheet at evaluation time.
- Written for
- An agency media buyer holding a dozen Meta ad accounts, each with its own target, cap and reporting rhythm.
-
Dayparting and night control
Time-of-day and day-of-week conditions that lower budgets overnight, restore them in the morning, and stop a campaign that runs away after midnight.
- Written for
- A high-spend advertiser whose conversions cluster in the day and whose overnight delivery mostly buys impressions.
-
Budget protection
Spend ceilings, budget ceilings and step-down rules that bound how much a Meta campaign can spend before a person looks at it again.
- Written for
- Anyone who has opened Ads Manager in the morning and found a campaign had spent a week of budget overnight.
Anatomy
What is inside every playbook?
The same three parts, in the same order, on every page in this section.
- The situation, stated plainly
- Each playbook opens with the problem it addresses and the outcome once the rules are running, both written as things that happen in an ad account rather than as benefits.
- Rules you can copy
- Every rule is printed the way the builder shows it — metric, reporting period, operator, value, then the action that fires — so it can be rebuilt in AdOps without translation.
- Why each rule is shaped that way
- Each rule carries the reasoning behind its thresholds and its check frequency, so you can move the numbers to fit your account without breaking the logic.
Start from a playbook, not a blank rule.
Copy the rules from the playbook closest to your account, point them at one ad account, and leave them in draft until the numbers look right.
