Waste stays invisible for too long
Irreleoft traffic, poor targeting and inefficient budgets are often only discovered during the next manual review.
Advisionr continuously monitors your Google Ads account, finds where budget is leaking and which opportunities you are missing, and turns complex data into clear decisions. You choose: execute with one click or let AutoPilot handle proven safe optimisations automatically.
Search terms, budgets, bids, ads, targeting and product data change continuously. One missed anomaly can cost money for days or weeks. One missed opportunity can slow growth.
See how Advisionr solves this →Irreleoft traffic, poor targeting and inefficient budgets are often only discovered during the next manual review.
Google shows metrics and recommendations. Advisionr determines which decision actually deserves priority in your situation.
Good management never stops. Advisionr takes over recurring checks and surfaces only what matters.
This interactive demo shows how Advisionr checks your Google Ads data, detects an improvement, runs safety checks and measures what changed afterwards.
The figures shown are demo data, not customer results.
in Google Ads ad spend analysed by the platform
Real-world data that keeps strengthening the intelligence behind better decisions every day.Advisionr is built around three business outcomes: less unnecessary cost, faster and better decisions, and consistently winning back time.
Irreleoft searches, poor targeting and inefficient budget allocation can keep costing money unnoticed until someone catches them.
Google Ads gives you numbers, but not automatically the clear business decision: what should you change now, what can wait, and where is the biggest improvement opportunity?
Reviewing search terms, monitoring budgets, assessing ads and comparing results takes time every week — and delays can cost money immediately.
No isolated AI advice and no black box. Advisionr connects analysis, decision, execution, measurement and learning in one system.
Advisionr continuously looks for signs of unnecessary cost, such as irreleoft search terms, inefficient targeting, budget issues, overlap and other waste.
The Decision Engine combines account data, context, risk, confidence and previously measured results into a clear order of actions.
Advisionr monitors your account 24/7 and surfaces only what needs attention. You no longer need to search through Google Ads every day.
You see why an action is proposed, what will change, the risk involved, and whether you execute it yourself or leave it to AutoPilot.
AutoPilot executes eligible actions only when current data, safety rules, confidence and execution checks provide enough certainty.
Advisionr compares the situation before and after a change. Reliable outcomes feed the learning layer so future decisions become better supported.
At the heart of Advisionr is the Decision Engine: it turns continuously changing Google Ads data into understandable decisions, with safety and measurability built in.
Decision EngineWeighs signals, context, risk, confidence and previous outcomes before an action gets priority.
One-Click optimisationFrom recommendation to a real Google Ads change without hunting through settings and screens yourself.
AutoPilot with strict safety rulesAutomatically execute eligible optimisations when the data and safety checks allow it.
AI Specialist & Google Ads ScoreAsk what is happening and immediately see which areas need attention — in plain language.
Result measurement & Learning EngineAdvisionr measures what a change actually did and uses reliable outcomes to improve future decisions.
Find traffic that costs budget but does not fit your goal and prepare safe exclusions immediately.
Detect overlap, redundancy and intent conflicts that can cloud performance or learning data.
Analyse active ads and get concrete measurement when enough evidence is available.
Detect budget constraints, pacing issues and bidding opportunities without blindly changing settings.
Analyse locations, schedules, Search Partners, placements and other signals that may leak budget.
Build campaigns and improve Shopping data using the same central intelligence and safety logic.
That is why Advisionr does not stop at dashboards or recommendations. Every useful improvement gets context, priority and — where safe — a direct execution path.

No complex implementation or new Google Ads workflow. Connect your account, Advisionr builds context and only prepares measurement that are sufficiently supported.
Connect through Google OAuth and choose which ad accounts Advisionr may analyse. Your password stays with Google.
Campaigns, search terms, budgets, bids, ads, tracking and other signals are combined into one current view.
Advisionr explains what it sees, why it matters and which concrete improvement makes the most sense now.
Keep the final click yourself, or automate eligible actions. Verification, measurement and learning then feed the next decision.
That is why safety is not a separate setting in Advisionr, but part of the entire chain: from analysis and selection to execution, verification and result measurement.
Every action includes context and explanation so you understand the issue found and why the proposed change makes sense.
If crucial data is missing, risk is too high or a change conflicts with a safety rule, Advisionr waits or blocks it.
Where the provider route supports it, Advisionr verifies whether Google Ads actually applied the change.
Before-and-after measurement turns every reliable outcome into new knowledge for future decisions.
Advisionr was created because strong Google Ads results should not depend on how much time you have to dive into your account every day. The platform keeps watching, makes measurement understandable and lets you decide what is changed directly or may be handled automatically.
Technology should make your work easier, not more opaque. That is why Advisionr shows what it sees, why an improvement is proposed and what actually happens after a change.

Google Ads Score, AI Specialist, measurement and measurement results use the same central intelligence. So you not only see what is happening, but especially which decision makes sense next.
The difference is not collecting even more data. It is recognising faster what costs money, weighing changes better and consistently measuring whether a decision actually helped.
| What matters | Manual Google Ads management | With Advisionr |
|---|---|---|
| Find waste | Periodically review search terms, traffic and targeting | ✓ Continuously flag where budget may leak |
| Discover opportunities | Depends on when you have time for a review | ✓ 24/7 account monitoring and new priorities |
| Decide what comes first | Weigh data, risk and context yourself | ✓ Decision Engine ranks actions by releofce and safety |
| Execute changes | Find settings and change them one by one | ✓ One-Click or controlled AutoPilot |
| Reduce risk | Check yourself whether a change is responsible | ✓ Central safety rules and preflight before execution |
| Learn from results | Compare before-and-after measurements yourself | ✓ Measurement and learning linked to the original action |
You do not have to take our word for a generic savings percentage. Enter your own time spent, desired automation and hourly value to see which scenario may be releoft for your organisation.
This is a scenario you set based on time and hourly rate, not a guaranteed saving or product claim.
All plans are built around the same core: intelligent Google Ads analysis, clear measurement and safe execution. Choose the capacity that fits your organisation and scale later when needed.
You give Advisionr access to an important sales channel. That is why we clearly explain how much control you keep, when AutoPilot does or does not act, and how results are measured.
No. One-Click shows exactly what Advisionr wants to change before anything is applied. AutoPilot only executes categories that meet the configured safety conditions. When in doubt, Advisionr waits or blocks the action.
Advisionr connects through Google OAuth and uses the Google Ads access required for the features you activate. Sensitive technical details are not exposed unnecessarily and changes pass through fixed safety checks.
Yes, but Advisionr does not force a conclusion when there is too little data. With insufficient evidence, a score is assessed conservatively or an action remains available for review.
AutoPilot checks whether a proposed change has sufficiently recent data, confidence, low risk and a safe execution path. Only then can an eligible action be executed automatically.
After an optimisation is executed, Advisionr preserves a measurement period and compares the situation before and after the change. Only reliable measured outcomes are used to improve future decisions.
No. Advisionr does not invent ROI or savings claims. The goal is to find waste faster, support better decisions and make the result of real changes measurable.
Spot budget leaks earlier. Make decisions with more context. Execute safe optimisations faster. And let the system learn from the results that are actually measured afterwards.