Experience PPCmanager.ai for yourself for 14 full days.
Start your 14-day free trial today. Connect your Google Ads account and see real campaign data become AI diagnoses, task-ready actions, reports, scripts, landing page fixes, and budget forecasts before you pay.
Launch path
Pick the AI depth your PPC workload needs.
Start free, then unlock deeper evidence, more recommendations, more tasks, faster refreshes, reports, memory, and behavior-aware landing page analysis. Extra PPC accounts beyond the included allowance are €5 per account per month.
Free
Permanent free workspace for basic account review.
No card required.
Included
Advanced
Practical AI analysis for active PPC teams.
Billed monthly. Upgrade or cancel anytime.
Included
Hero
Deep PMax, search insight, device, and landing page analysis.
Billed monthly. Upgrade or cancel anytime.
Included
Master
Strategic AI, advanced reports, exports, and widest data coverage.
Billed monthly. Upgrade or cancel anytime.
Included
Fair usage keeps AI analysis fast for every workspace.
Each plan includes a defined PPC account allowance: Free includes 1 account, Advanced includes 5, Hero includes 10, and Master includes 20. Extra PPC accounts or domains are billed at €5 per account per month, alongside fair use of refreshes, AI recommendations, exports, behavior-aware landing page analysis, and 100-day compact memory.
Why plan depth matters
Pricing is tied to the depth of investigation: data variables analyzed, rows included per variable, recommendation volume, action-task volume, AI model, analysis depth, behavior context, and how much 100-day memory AI can use safely. The deeper the plan, the more evidence AI can inspect before it recommends a fix.
Cutting-edge AI is only useful when it treats the real PPC pain.
PPCmanager.ai does not price plans by vanity features. Plan depth controls how much evidence AI can read, how many issues it can diagnose, and how much implementation work it can produce for your team.
Diagnose
Find the root cause across campaign data, landing pages, behavior, and account history.
Explain
Show the pain, evidence, risk, and business reason in language a team can act on.
Execute
Create tasks, scripts, reports, and reviewed workflows without forcing blind changes.
Task Manager
Pain
Recommendations get lost before anyone implements them.
Cure
Turn AI findings into reviewed tasks with account, campaign, ad group, comment, status, and outcome context.
Budget Forecasting
Pain
Overspend and underspend are often discovered too late.
Cure
Project month-end spend, pacing risk, remaining budget, and daily budget needed before the account drifts.
Heatmaps + Clarity
Pain
Campaign metrics cannot show where users get stuck on the page.
Cure
Use behavior and heatmap context to understand which PPC URLs need stronger message match and friction fixes.
100-day memory
Pain
Most PPC tools forget what was recommended and whether it worked.
Cure
Keep compact learning for 100 days so future AI analysis understands previous actions and outcomes.
Your team sees the business problem, the AI diagnosis, and the outcome to chase.
Instead of dumping more tables on a PPC specialist, PPCmanager.ai shows what is costing money, why it is happening, which business context matters, and what action should improve the result.
Wasted spend found
$8.2k
Search terms, devices, geo, and URL friction reviewed.
Conversion lift path
+18%
AI found stronger budget pockets and landing page fixes.
Time saved
7h
Critical issues grouped into tasks instead of manual spreadsheet review.
Metric growth path
Business pain
Spend is rising but landing page behavior is weak.
AI diagnosis
Budget, search intent, and page friction are connected.
Outcome target
Shift spend only after page and query fixes are reviewed.
Beyond Google Ads: dynamic PPC intelligence
PPC cannot be optimized from ad metrics alone. PPCmanager.ai combines account data, business context, competitor understanding, website content, and user behavior so AI can treat the real cause, not just report the symptom.
Google Ads evidence
Campaigns, search terms, budgets, quality score, audiences, devices, history.
Knowledge Center
Business model, services, goals, competitors, exclusions, margins, and user notes.
Website review
Homepage, service/product pages, ad landing pages, page intent, and message match.
Behavior signals
Clarity-ready heatmaps, clicks, scroll depth, session friction, and page drop-off.
AI root-cause engine
Reads the full context, connects the signals, and decides what pain the next action should solve.
AI output
Root-cause diagnosis instead of surface-level metrics
AI output
Recommendations that understand your business and competitors
AI output
Landing page fixes based on ads, page content, and behavior
AI output
100-day memory that updates future AI analysis from outcomes
Why this matters
A campaign may look weak because of search intent, competitor pressure, landing page friction, tracking quality, budget pacing, or a mismatch between the offer and the page. PPCmanager.ai is built to look across those layers before it recommends the cure.
AI Budget Forecasting dashboard
Forecast month-end spend, pacing, remaining budget, daily budget needed, and which campaigns should scale, slow down, or stay in monitor mode.
Monthly target
$45,000
Spend to date
$28,400
Projected spend
$49,800
Pacing
+10.6%
Projected month-end spend
AI detected
Spend is pacing above target while two campaigns have weak ROAS.
AI recommends
Move budget from inefficient campaigns into high-conversion pockets.
Suggested task
Create a budget review task with campaign-level evidence attached.
Behavior + heatmap intelligence
Microsoft Clarity, heatmap, scroll, click, and session behavior can be connected per workspace so landing page recommendations go beyond basic PPC metrics.
2.4k
Clicks
64%
Scroll depth
18
Rage clicks
AI detected
Visitors click the top form area, then drop before submission.
AI reason
PPC traffic has intent, but the page friction signal is stronger than the ad signal.
Suggested next action
Shorten the form, move trust proof above the fold, and test a clearer CTA.
Task Manager built for PPC implementation
AI findings do not stop as screenshots. Users send recommendations into a task board with account, campaign, ad group, evidence, comments, and status.
Backlog
1Add negatives
Evidence, suggested action, and implementation notes travel with the task.
Doing
1Review landing page
Evidence, suggested action, and implementation notes travel with the task.
To review
1Budget shift
Evidence, suggested action, and implementation notes travel with the task.
Done
4Search term cleanup
Evidence, suggested action, and implementation notes travel with the task.
Dynamic 100-day account memory
PPCmanager.ai keeps compact learning signals for 100 days: what AI recommended, what the user reviewed, what changed, and whether performance moved after the work.
Human expertise + AI memory
Your specialist reviews the work. AI remembers what happened next.
Day 1
Budget waste found
Day 8
Negative review logged
Day 21
CPA improved
Day 63
Future advice adjusted
Day 100
Compact memory stays clean
More than one dashboard view
AI Ads Doctor
Critical issues
10 findings
Budget Copilot
Pacing forecast
$42k projected
Search Terms
Waste review
1,557 terms
Landing Scanner
Page match
12 URLs
AI History
Change audit
61 changes
AI Reports
Client summary
Copy-ready
Customer love
What PPC leaders say about PPCmanager.ai
One compact wall of praise from teams using AI diagnosis, tasks, landing page scans, budget forecasting, and 100-day memory.
Our clients
Trusted by PPC agencies and growth teams
Agencies use PPCmanager.ai to turn Google Ads data, landing page signals, user behavior, and AI recommendations into reviewed work their teams can ship.
