Blog · 134 guides
Strategy and measurement guides
Guides that apply to any advertising platform: tracking and attribution, reporting, experiments, lead quality, budgets, change control, AI analysis and agency workflows. Start here when your question is not tied to one ad platform.
Recruiting landing page that turns driver ad clicks into candidates
Build a landing page for truck driver job ads: first screen, messenger buttons, requirements, honest pay, matching language and tracking every contact.
Conversion tracking audit: Google tag, GA4, conversions and Meta pixel
Check a client's website for Google tag, GA4 stream, key events, Google Ads conversions, conversion linker, auto-tagging and Meta pixel.
GA4 setup wizard: property, web stream, key event and Ads link
Create a GA4 property with a web stream, a key event, a Google Ads link and auto-tagging in one reviewed plan — no manual clicking in GA4.
Mark GA4 key events and link GA4 with Google Ads in one click
Fix audit findings with buttons: mark the event your site sends as a GA4 key event, link GA4 to Google Ads and enable auto-tagging.
Publish tracking tags through Google Tag Manager with rollback
Prepare a Tag Manager workspace with the Google tag, lead trigger, GA4 event, Ads conversion, linker and Meta pixel — publish with your password.
Client KPI event: judge campaigns by the business goal
Set one KPI event per client so conversion campaigns are judged by it everywhere — analytics, reports, monitors, agents and AI answers.
Count form submissions as leads
Optionally add a Tag Manager form submission trigger so GA4, Google Ads and Meta count completed forms as leads alongside clicks.
Google Tag Manager access: which Google account sees your container
Find which Google account can see the Tag Manager container on your site, pick the right one, and publish tag changes with 2FA and rollback.
Ad landing page check: match every ad to its page before launch
Before launch, check that each ad's landing page is in the right language, repeats the ad's promises and has buttons the live GTM container counts.
Conversion tracking for WhatsApp, Telegram and call leads
Track leads who write in WhatsApp or Telegram or call instead of filling a form: GA4 events, Google Ads and Meta conversions, and a lead script.
Separate business outcomes from diagnostic conversions in your scorecard
Build a two-level KPI scorecard that keeps sales and qualified leads separate from page visits, button clicks and other diagnostic actions.
Build an attribution reconciliation sheet without double-counting sales
Explain differences between GA4, CRM and advertising reports with a definition matrix and exception ledger rather than adding their conversion totals.
Score the match between an ad promise, page evidence and next action
Use a claim-to-proof scorecard to identify missing conditions, weak evidence and confusing calls to action before testing a landing page.
Change proposals: every write starts as a reviewable plan
In AdAce Ads every change — from a person, the AI analyst, an agent or an automation — is a proposal with before, after, reason and limits check.
Approving changes: a button or a plain “yes”, no code
Approve changes with a button or a plain “yes” in the chat, no code; the approval is bound to the exact proposal you reviewed and expires if late.
Write policies per client: observe, propose or auto
Choose per client whether the service only observes, proposes changes for approval or applies reversible changes automatically within limits.
Change limits: max change, daily increase and writes per hour
Hard limits per client stop oversized changes: maximum change per operation, maximum daily increase and writes per hour.
Daily budget cap for Google and Facebook ads per client
Set a ceiling for any daily budget of a client's campaigns and ad sets; raising or removing the cap requires the second factor.
Writes to existing campaigns: an owner switch per account
Campaigns created by AdAce Ads are writable by default; writes to your existing campaigns are enabled per ad account by the owner with a switch.
Emergency stop for all live writes
One switch stops every write from the workspace to ad accounts instantly — proposals, automations, agents and AI clients included.
Isolated executor: read before writing, verify after
Approved changes run in a separate process that re-reads the account, refuses if it changed, writes only the approved fields and verifies.
Undo: restore the previous state of an executed change
Revert executed budget, status, bid, targeting, keyword, audience and suffix changes with one action — as a new, verified change.
Audit log: who did what, when and from where
Every proposal, approval, execution, undo, connection, policy change, publication and sign-in event is recorded with its author and origin.
Approved ad change went stale? Why it is refused and how to redo it
Why a waiting or approved Google or Meta ad change is refused when the campaign changed meanwhile, and how to recreate it safely with current data.
Edit landing pages safely: FTPS, automatic backups and rollback
Edit a client's landing page over encrypted FTP with a backup before every save, read-back verification, conflict protection and one-click rollback.
Write an advertising experiment hypothesis that can change a decision
Define a test's decision, mechanism, primary outcome, comparison, guardrails and uncertainty before changing campaigns or judging a winner.
Set advertising test stop rules before the first observation
Separate planned evaluation, budget exhaustion, invalid data and operational emergencies so that ending a test does not automatically declare a winner.
Set advertising approval service levels without turning silence into consent
Define response windows, backup reviewers and expiry handling for advertising budget decisions without treating a missed deadline as approval.
Keep an advertising change and experiment ledger to explain overlapping effects
Connect advertising changes, hypotheses and external events in one ledger so coinciding actions are not mistaken for a single proven cause.
Decide whether an advertising rollback is safe in the current state
Review current state, dependent changes and irreversible effects before restoring an advertising setting from an earlier snapshot.
AI ads analyst: ask about your Google and Facebook ads
Ask questions about a client's accounts in plain language; the AI analyst reads data with tools and shows the sources behind its answer.
AI-drafted change proposals for human approval
The AI analyst can draft budget, status, negative keyword and other proposals with a rationale — a person approves them or the client's policy applies.
AI period summaries for an ad account
Get a written summary of an ad account for any period — what changed, what worked, what needs attention — built from tool calls with sources.
AI ad copy generator for Google and Facebook ads
Generate ad copy variants for Google (headlines 30, descriptions 90) and Meta (primary text 125, headline 40, description 30) — over-limit variants are dropped.
How the AI analyst protects your data
Ad account data is passed to the model as untrusted content, secrets are scanned before any request, and the AI works only within your role.
AI usage limits: monthly, daily per user and per task
Keep AI costs predictable with a monthly workspace limit, a daily limit per person and a maximum cost per task, with an 80% warning.
Multilingual ad copy with AI: English, Russian, Ukrainian, Spanish
Write Google and Meta ad copy in English, Russian, Ukrainian and Spanish with an AI assistant that respects length limits and niche rules.
Build a creative testing matrix around arguments, proof and format
Turn a creative brief into distinct learning questions, with supported claims, planned comparisons and business outcome criteria.
Write qualifying ad copy that sets honest expectations
Decide which price, scope and service conditions belong in an ad, then evaluate fit and useful enquiries instead of click volume alone.
Write read-only AI advertising prompts that explicitly forbid tool writes
Bound an AI advertising analysis by client, dates, permitted evidence and output, while explicitly prohibiting proposals and all mutating tools.
Check the evidence behind an AI advertising recommendation before deciding
Review an AI recommendation for source support, compatible dates, calculation accuracy and justified uncertainty before considering an account action.
Build an AI advertising analyst evaluation set from your own saved snapshots
Evaluate an AI ad analyst on fixed read-only cases with expected answers, missing-data tests and hard safety gates instead of persuasive prose.
Scheduled automations: sync, anomalies, pacing, connections, reports
Schedule data syncs, anomaly checks, budget pacing, connection checks and client reports per client, in the client's time zone.
Automatic reactions to anomalies
On a spend spike, propose pausing the top contributing campaign; on CPA growth, propose a 20% budget cut — within limits and quiet hours.
Ad budget pacing: monthly spend against the client's target
Set a monthly budget target with a tolerance and get notified when the month's spend runs ahead of or behind plan.
Ad Ops agents: a five-step wizard
Build an agent for a client in five steps — instructions, scope, decision rules, guardrails and review — that proposes changes on a schedule.
Agent templates: from Spend Spike Sentinel to Creative Fatigue Watcher
Start from ten built-in agent templates — tracking watchdog, spend spikes, negatives, waste, winners, CPA and ROAS guardians, creatives.
Agent guardrails that can never be softer than the client's policy
Limit agents by budget change, proposals per run, reversibility, money movement, quiet hours, daily cap and minimum data days.
Agent inbox and measured impact at 7 and 14 days
Review agent proposals with rationale and expected impact, reject with a reason, and see the measured effect 7 and 14 days after applying.
Monitors: incidents for CPA spikes, ROAS drops, delivery and tracking
Monitor CPA spikes, ROAS drops, non-delivery, spend pacing, tracking gaps, exhausted budgets, pixel health and GA4 results per client.
Try it on your own accounts
Create a workspace, connect Google or Meta in a couple of clicks and see your accounts clearly. Changes follow your approvals or the policy you configure.