Adalysis

Name: Adalysis
Brand: Adalysis
Price: 149126 USD

Always-on ad testing with real statistics, plus the deepest quality score tooling anywhere

Adalysis is a Google Ads and Microsoft Advertising optimization platform built around fully automated ad testing that runs continuously with five configurable confidence levels across six independently evaluated metrics and pauses losing ads on its own, combined with more than a hundred daily audit checks with automated resolution actions, n-gram analysis, impression-weighted quality score tracking, a seven-tool budget suite, Performance Max auditing, and Looker Studio reporting; it is priced on maximum monthly ad spend from $149 a month with unlimited accounts and unlimited users on every plan.

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Overview

Adalysis was founded in 2013 by Emmanuel Gad and Brad Geddes, and the second name explains the product. Geddes wrote Advanced Google AdWords, has worked in paid search since 1998, and built Certified Knowledge before this. What he built here is not a general-purpose optimization suite but a tool organised around a specific belief: that most advertisers do ad testing badly, either by eyeballing click-through rates without statistical significance or by not doing it at all, and that the fix is to make testing continuous and automatic rather than a project someone schedules.

That flagship capability is genuinely differentiated. Adalysis figures out nightly where you are testing and adds or removes tests on its own, evaluates six metrics independently including CTR, conversion rate, CPA, and ROAS, lets you set the confidence threshold at 80, 85, 90, 95, or 99 percent, automatically segments data by device, network, and ad format so tests stay comparable, tracks change history so a mid-test edit does not silently corrupt the result, and pauses or replaces losing ads without waiting for you. Nothing else in this directory does this.

The rest of the platform is deeper than the price suggests. More than a hundred prebuilt audit checks run daily with automated resolution actions that add converting search terms as keywords, add poor performers as negatives, and exclude underperforming display placements. Quality score tracking is impression-weighted at ad group and account level, so a highly visible keyword counts more than a dormant one, with full sub-factor breakdown and complete history. N-gram analysis aggregates one, two, and three-word phrases daily across the whole account. The budget suite runs to seven distinct tools including projections, pacing, rollover, and daily automation with adjustable frequency and maximum adjustment caps.

The commercial shape is unusual and worth reading carefully. There is one plan, not three, and it is priced on a thirteen-step slider keyed to maximum monthly ad spend, starting at $149 and running to $3,000. Every feature, unlimited Google Ads accounts, unlimited Microsoft Ads accounts, and unlimited users are included at every price point. Nothing is paywalled by tier; what higher spend buys is more onboarding sessions, faster support, a longer trial, and eventually an account manager. That is a fairer structure than almost anything else here, undercut by one hard fact: the company is two or three people, entirely bootstrapped, and has been for twelve years.

Best for

Google and Microsoft Ads specialists and agencies spending at least twenty thousand dollars a month who take ad testing and quality score seriously, want automation that actually acts on the account, and value unlimited accounts and unlimited seats at a flat tier price.

Not the right fit for

Advertisers spending under roughly twenty thousand dollars a month, because the pricing has no granularity below a fifty thousand dollar ceiling so a $5,000 advertiser pays the same $149 as a $50,000 one.
Anyone running meaningful Meta, Amazon, LinkedIn, or TikTok spend; Adalysis states plainly that it is not a Meta Ads management tool or an Amazon Ads platform, and Facebook appears only as a Looker Studio reporting data source.
Teams that need real-time data, since the dashboard refreshes daily at around four in the morning and keywords, search terms, and landing pages default to weekly.
Buyers who need an API for data warehouse pipelines or agency operations tooling; Adalysis states explicitly that no API access or key is available.
Organizations with vendor security requirements, given no SOC 2, no documented GDPR compliance page, no single sign-on, and two-factor authentication delegated entirely to your Google or Microsoft login.

How it works

1
You link a Google Ads account or an entire manager account, plus Microsoft Advertising if you use it, and then apply global settings. Global settings are the key agency mechanic: customised prebuilt alerts and their associated automatic actions auto-apply to every newly linked account, which makes onboarding the tenth client nearly instant.
2
Ad testing then runs by itself. There is no manual test setup: Adalysis determines nightly where tests exist, adds or removes them as ad groups change, segments data by device, network, and ad format, and evaluates six metrics independently against your chosen confidence threshold. When a test reaches significance you are alerted, and if you have enabled it, losing ads are paused or replaced automatically.
3
In parallel, more than a hundred audit checks run daily across account structure, settings, performance drift, responsive search ad asset inconsistencies, and best-practice violations, producing a prioritised list of the most impactful issues. Any audit alert can be given an automated resolution action, and every automatic change is written to an auto changes log.
4
You work the analysis surfaces as needed: n-grams for wasted spend patterns, duplicate search terms for cross-ad-group cannibalisation, quality score tracking impression-weighted with weekly change history, the Performance Analyzer with Google Ads change history overlaid on trend data, and the seven budget tools for projection, pacing, and daily auto-adjustment. Reporting runs through more than fifty prebuilt Looker Studio templates with white-label branding and scheduled delivery.

Feature breakdown

47 features in 6 modules

Automated ad testing

The flagship, and the reason to choose Adalysis over anything else here.

Always-on automated testing: Tests run with no manual setup; Adalysis determines nightly where you are testing and adds or removes tests automatically as the account changes.
Five configurable confidence levels: Significance thresholds of 80, 85, 90, 95, or 99 percent, with results displaying at 90, 95, or 99 and anything below 90 rendered as inconclusive rather than as a false winner.
Six independently tested metrics: Click-through rate, conversion rate, conversions per impression, cost per conversion, conversion value over cost, and conversion value per impression, each evaluated separately and individually disableable.
Configurable test thresholds: Confidence and date-range thresholds apply to all metrics while data thresholds apply only to the metrics they are relevant to.
Automatic loser pausing and replacement: Underperforming ads are paused or replaced without waiting for you, which is what turns testing from a project into a standing process.
Single and multi ad group testing: Tests within one ad group, or across ad groups, campaigns, and accounts for all ad types, including testing by label and by image size.
Automatic data segmentation: Segments by device, network, and ad format so you are not comparing a mobile display impression against a desktop search one.
Change history tracking: Tracks changes and variables so tests remain genuinely comparable, which is the failure mode that quietly invalidates most manual ad tests.
Test completion alerts: Notifies you when a test reaches its threshold rather than requiring you to check.
Generative AI ad creation: Suggests ad groups, keywords, and ad copy so the test pipeline stays supplied with new variants to evaluate.

Responsive search ad management

Asset-level control that the native interface makes tedious.

RSA asset manager: Clones assets, inserts them into ads, tests and pins them, all without going into Google Ads.
RSA bulk actions: Edit one asset and update every instance in one click, bulk delete, and pin or unpin across several ads at once.
Impression-weighted asset performance: Colour-coded performance ratings showing how many ads each asset appears in and its pinned status, with links through to the ad groups and campaigns using it.
RSA asset filters and alerts: Performance filters and custom alerts specifically for responsive search ad assets, shipped in May 2026.

Audits, alerts, and automated actions

Standing account hygiene with the option to fix itself.

More than a hundred prebuilt audit checks: Run daily across account structure, settings, performance drift, responsive search ad inconsistencies, and best-practice violations, all customisable.
More than a hundred prebuilt audit alerts: Deliver a prioritised list of the most impactful issues rather than an undifferentiated wall of findings.
Rule engine: Customise the prebuilt rules or write your own, triggering alerts when key metrics deviate from your targets.
Automated resolution actions: Enabled per alert definition, covering adding converting search terms as keywords, adding poor performers as negative keywords, and excluding underperforming display placements.
Auto changes log: Every automated change is recorded, which is the accountability layer any acting automation needs.
Global settings: Customised alerts and their automatic actions auto-apply to newly linked accounts, and since May 2026 custom alerts can be saved as global settings too; this is the mechanic that makes agency scale work.
Account setup validation: Validates account structure and settings against best practices and against your own standards.
Performance alerts: Daily monitoring for fluctuations or threshold breaches across any metric.

Keyword, search term, and quality score analysis

Deeper diagnostics than the price implies.

Impression-weighted quality score analysis: Keyword-level quality score plus expected CTR, ad relevance, and landing page experience, aggregated at ad group and account level weighted by impressions so highly visible keywords count more.
Quality score history: Weekly change tracking and full history with ad groups sorted by priority, sliceable against impressions, clicks, conversions, cost, conversion value, CTR, and cost per conversion.
N-gram analysis: Aggregates one, two, and three-word phrases across the entire account daily and flags patterns automatically with performance data attached, including for Performance Max search terms.
Duplicate search terms: Shows which keywords from different ad groups compete for the same search term, filterable by spend, impressions, or cannibalisation rate, with one-click cross-group negatives for all but the winning ad group.
Duplicate keywords: Flags duplicates, compares their performance, and bulk-pauses by criteria such as lower click-through rate or quality score.
Keyword mining: Alerts you to candidate keywords and negatives based on your own criteria, addable directly from the dashboard.
Negative keyword management: Negative conflict detection on one screen with bulk removal, plus a negatives overview at account, campaign, ad group, and list level.
Keyword utilities: Bulk match-type changes across hundreds of keywords, ad group structure suggestions with keyword moves, plus a Keyword Grouper and Keyword Mixer.

Budgets, bidding, and performance goals

A seven-tool budget suite that competitors twice the price do not match.

Budget projections: Projects future spend while accounting for recent budget changes rather than extrapolating naively from month-to-date.
Budget pacing and campaign control: Real-time over and under-spend prevention, plus enabling or pausing campaigns based on pacing and where you are in the budget cycle.
Daily budget automation: Automatic daily budget adjustments toward a target, with adjustable frequency and maximum adjustment percentage caps added in May 2026 so the automation cannot swing wildly.
Budget rollover and split: Carries overspend from one cycle into the next and allocates budget across campaigns.
Boost opportunities: Quantifies the incremental performance available per campaign from additional budget.
Performance goals: Set and track goals such as a conversion target for an account or campaign group over a custom date range, with over-pacing and under-pacing alerts on screen and by email.
Bid adjustments map: All bid adjustment recommendations in one place across device, location, gender, age, ad schedule, parental status, income, and audience, with before-and-after impact comparison on your last bid change.
Geo heatmaps and matched locations: Location bidding heatmaps plus a matched locations view with heatmap and grid modes, campaign-breakdown filtering, and bulk targeting, shipped in June 2026.
Keyword bid checks: Uses quality score, search volume, and Google top-position estimates to check bids, with visibility-loss alerts and hourly ad schedule heatmaps.

Performance Max, building, and reporting

The newer surfaces, shipping steadily through 2026.

PMax toolkit: Audits Google-generated assets needing review, misspelled asset text, disapproved assets, poor performers, asset groups below recommended counts or with weak ad strength, and missing audience signals.
PMax search term analysis: Identifies Performance Max search terms cannibalising your Search keywords or worth promoting to keywords or negatives, with Search and Shopping overlap summaries.
PMax channel reporting: Performance broken out at campaign, asset group, and asset level across five metrics, shipped in April 2026.
PMax placement control: Placement review and exclusion, including blocking all mobile app traffic in one action.
Performance Analyzer: Root-cause analysis of performance changes with Google Ads change history overlaid on trend data, savable to PDF or shared on screen.
AI summaries: Plain-language explanations of what changed in an account and why.
Campaign builder: Creates hundreds of campaigns from uploaded file data, with single keyword ad group building tools.
Looker Studio reporting: More than fifty prebuilt templates plus custom ones, with multi-dimensional slicing, white-label branding, and scheduled monthly delivery; automated audit reports are usable in new-business pitches.

Use cases

4 documented

Google Ads agency that has never done ad testing properly

Testing is supposed to happen but never does, and when someone does compare two ads they call a winner on a click-through rate difference that is statistical noise.

Testing becomes continuous and automatic across every account with no setup, six metrics evaluated at a confidence level the agency sets, data segmented by device and network so results are comparable, and losing ads paused automatically. Global settings apply the same configuration to every new client account.

In-house manager whose quality scores keep dropping

Cost per click is rising and the account average quality score is a meaningless number that treats a dormant keyword the same as one taking half the impressions.

Impression-weighted quality score at ad group and account level shows where the problem actually lives, the sub-factor breakdown separates an expected CTR problem from a landing page one, and weekly change tracking with full history shows whether interventions worked.

Agency that overspends and underspends client budgets in the same month

Budget management is a Monday spreadsheet, spend is lumpy, and nobody catches an under-pacing account until the client asks why the money is unspent.

Projections account for recent budget changes, pacing prevents over and under-spend in real time, daily budget automation adjusts toward the target within a capped adjustment percentage, rollover carries overspend forward, and performance goals fire over and under-pacing alerts by email.

Search team losing money to query cannibalisation and wasted phrases

Multiple ad groups compete for the same search terms, and there is a recurring wasted-spend pattern nobody can see because each individual bad query is small.

N-gram analysis aggregates one, two, and three-word phrases daily across the whole account with performance attached, and duplicate search terms shows exactly which ad groups are competing, with one-click cross-group negatives for all but the winner.

Pricing

from $149 per month, or $126 per month billed annually

A single plan priced on a thirteen-step slider keyed to maximum monthly ad spend, with every feature, unlimited accounts, and unlimited users included at every price point.

Plan	Price	Includes
Up to $50,000 monthly ad spend	$149 per month, $134 on six-month billing, $126 on annual	All 40-plus PPC tools, nothing paywalled Unlimited Google Ads and Microsoft Ads accounts Unlimited users 1 onboarding session Standard support with a 12-hour email response 30-day free trial, no card required There is no granularity below this step, so a $5,000 advertiser and a $50,000 advertiser pay exactly the same.
Up to $150,000 monthly ad spend	$249 per month, $224 on six-month billing, $211 on annual	Identical feature set to every other price point Unlimited accounts and users Still standard support until you pass $449 a month 30-day free trial
Up to $350,000 monthly ad spend	$449 per month, $404 on six-month billing, $381 on annual	2 onboarding sessions Priority support with a 2-hour response on 97 percent of requests 2 team training sessions per year Extendable 45-day free trial The $449 mark is where the service tier changes, not the feature set. Intermediate steps sit at $349 for a $250,000 ceiling.
Up to $1,000,000 monthly ad spend and above	$950 and up, to $3,000 at a $5,000,000 ceiling per month, with 10 percent off on six-month and 15 percent off on annual billing	3 onboarding sessions and 3 team training sessions per year Dedicated account manager Extendable 60-day free trial Intermediate steps at $599, $775, $1,300, $1,600, $2,000, $2,500, and $3,000

Billing notes

The full published ladder runs $149, $249, $349, $449, $599, $775, $950, $1,300, $1,600, $2,000, $2,500, and $3,000 against spend ceilings of $50K, $150K, $250K, $350K, $500K, $750K, $1M, $1.5M, $2M, $3M, $4M, and $5M, with above $5M handled separately.
At $5,000 a month of spend you pay $149, which is three percent of media and the worst value point in the range. At $25,000 you pay the same $149, now about 0.6 percent, which is where the case starts working. At $100,000 you need the $150K ceiling and pay $249, about 0.25 percent.
Pricing adjusts automatically each month based on actual ad spend, moving you up or down the ladder rather than requiring a plan change or triggering overage charges.
Nothing is paywalled by price band. All forty-plus tools, unlimited Google Ads accounts, unlimited Microsoft Ads accounts, and unlimited users are included at $149 exactly as at $3,000. What higher spend buys is onboarding sessions, support speed, training, a longer trial, and eventually an account manager.
Six-month billing saves ten percent and annual billing saves fifteen percent.
The trial length scales with your price band: 30 days at the base, an extendable 45 days above $449, and an extendable 60 days above $950. No credit card is required, which is unusual and consistent with a product that genuinely takes weeks to evaluate.
Euro pricing is numerically identical to dollar pricing, so a European buyer pays a real foreign exchange premium at current rates.
There are no contracts and no minimum term. Refund policy specifics were not found.

Value assessment: Adalysis has the fairest pricing structure in this category and the wrong floor for small advertisers. Charging one price for the entire product with unlimited accounts and unlimited users, and using tier only to allocate support and onboarding, is genuinely better design than the feature-gating everyone else practises, and at $25,000 to $150,000 of monthly spend it is excellent value against Optmyzr's more expensive and more gated equivalent. The problem is the bottom step: with no granularity below a $50,000 ceiling, a business spending $5,000 pays the same $149 as one spending ten times more, which works out to three percent of media for a toolset it lacks the volume to exploit. Ad testing needs traffic to reach significance. Below roughly twenty thousand a month, the flagship feature cannot do its job and you are paying for it anyway.

Strengths & limitations

Strengths

Fully automated ad testing with five configurable confidence levels across six independently evaluated metrics, automatic segmentation by device, network, and format, and automatic pausing of losers, which no other product in this directory offers.
Change history tracking that keeps tests genuinely comparable, addressing the failure mode that silently invalidates most manual ad testing.
Impression-weighted quality score aggregation at ad group and account level with full sub-factor breakdown and weekly history, which is the most serious quality score tooling available anywhere.
Nothing is paywalled by price band: all forty-plus tools, unlimited Google and Microsoft accounts, and unlimited users are included at $149 exactly as at $3,000.
Pricing adjusts automatically each month with your actual spend, moving down as well as up, with no overage charges and no plan-change friction.
A seven-tool budget suite covering projections, pacing, rollover, splitting, boost opportunities, campaign control, and capped daily automation, deeper than tools costing twice as much.
Trial lengths of 30, 45, or 60 days with no credit card required, which is honest about how long the product actually takes to evaluate.
One to three human onboarding sessions are genuinely included by band, plus team training twice or three times a year above $449.
A public quarterly changelog going back to Q1 2024 with dated releases throughout 2026, and documentation good enough that every page is available as markdown with a query endpoint that answers questions with citations.
Global settings that auto-apply customised alerts and their automatic actions to newly linked accounts, which is what makes onboarding the tenth client near-instant.
Founded and still co-led by Brad Geddes, author of Advanced Google AdWords, bootstrapped and independent for twelve years with a US Search Award for best PPC management software.

Limitations

Google and Microsoft only. Adalysis states plainly it is not a Meta Ads management tool and not an Amazon Ads platform, and Facebook appears solely as a Looker Studio reporting data source. Cross-channel advertisers need a second tool.
No granularity below a $50,000 spend ceiling, so a $5,000 advertiser pays the same $149 as a $50,000 one, which is three percent of media for a product that needs volume to work.
Not real-time. The dashboard refreshes daily at around four in the morning, and keywords, search terms, and landing pages default to weekly with an on-demand refresh button.
The interface is the most consistent complaint in reviews, described as outdated and lacklustre; a refresh shipped in June 2026 but the criticism is recent and repeated.
A steep learning curve, with more than a hundred audit checks, forty-plus tools, and a rule engine that reviewers describe as overwhelming at first.
No API at all, stated explicitly in the documentation, which blocks data warehouse pipelines, custom dashboards, and agency operations automation.
No single sign-on and no native two-factor authentication; 2FA is delegated entirely to your Google or Microsoft login.
No SOC 2, no ISO 27001, and no documented GDPR compliance page, data processing agreement, or sub-processor list.
A very small company of two or three employees, bootstrapped with no funding, which is a genuine continuity risk for an agency running client operations on it, partly offset by twelve years of unbroken operation and shipping.
Euro pricing is set one-to-one with dollars, so European customers pay a foreign exchange premium.
Reviewers report at least one feature regression, specifically the loss of the ability to include or exclude specific campaigns within accounts, and ad extension checks are not customisable and are only visible where a campaign has actual spend.
Data is not retained after cancellation. The privacy policy states data is kept only while you are using the service, and the documentation explicitly advises making sure you have everything before you cancel, with no API to bulk-extract it.

Head-to-head comparisons

3 alternatives

Adalysis vs Optmyzr

from $209 per month on annual billing at the lowest spend tier, or about $299 per month billed monthly

Both automate on Google and Microsoft and both are bootstrapped, but they are different bets. Adalysis at $149 is narrower and sharper, unmatched on automated ad testing and impression-weighted quality score, with unlimited accounts and users at every price band and no feature gating. Optmyzr from roughly $299 is a whole platform, adding Shopping and Performance Max depth, Campaign Automator, budget projection, cross-platform reporting, and Amazon. If testing and quality score are the bottleneck, Adalysis does them better for half the money; if you need everything else too, Optmyzr is the only tool here that has it.

Full Adalysis vs Optmyzr comparison

Adalysis vs Opteo

from $129 per month (Basic)

Both are Google-first, bootstrapped, and priced within a hundred dollars of each other, and the difference is whether you want automation that acts. Adalysis at $149 tests, audits, and resolves automatically, and has the deeper analytical toolset. Opteo at $129 presents an evidence-backed improvement queue you approve one item at a time and is by far the easier product to adopt. Choose Adalysis if you are experienced and want the work done while you sleep; choose Opteo if you want the friendliest daily review workflow in the category.

Full Adalysis vs Opteo comparison

Adalysis vs Adzooma

from $0 (Free), then $69 per month (Silver)

Adzooma at $69 with a free tier covers Google, Microsoft, and Meta with audits, alerts, and SEO scorecards, and explicitly changes nothing without approval. Adalysis at $149 is Google and Microsoft only but does automated ad testing, impression-weighted quality score tracking, n-gram analysis, and a seven-tool budget suite that Adzooma has no equivalent of at all. Take Adzooma if you need cheap coverage including Meta and your spend is small; take Adalysis if your money is in search and you want real optimization rather than oversight.

Full Adalysis vs Adzooma comparison

Implementation & onboarding

Setup time: An hour to connect, longer to be effective. Link a Google Ads account or an entire manager account, then apply global settings so customised alerts and their automatic actions carry over, or copy settings manually from an existing account. Looker Studio reporting setup is documented at fifteen to twenty minutes. Accounts under different email addresses require one Adalysis account per address, with billing combined afterwards at no extra charge.
Learning curve: Steep and acknowledged. More than a hundred audit checks, forty-plus tools, and a rule engine make the menus genuinely overwhelming at first, which reviewers say plainly. The unusually long trials of 30, 45, or 60 days with no credit card exist precisely because the product cannot be evaluated in a week.
Onboarding: One, two, or three human onboarding sessions are included depending on your price band, plus two or three team training sessions a year above $449 a month, and a dedicated account manager above $950. This is real included service rather than an upsell, and it is how the vendor handles the learning curve.
Migration notes: Nothing to import; Adalysis reads your existing Google and Microsoft accounts, and global settings make onboarding the Nth account near-instant. The exit is the part to plan for. Adalysis maintains your data only while you are using the service, and the documentation explicitly tells you to make sure you have everything before cancelling. Rules, custom alerts, test history, quality score history, and audit history are not retained afterwards, there is no documented grace period or read-only mode, and with no API the only export routes are CSV on most screens and PDF for Performance Analyzer results.

Platform, API & security

Platforms: Web application at app.adalysis.com
API: None. The documentation states explicitly that no Adalysis API access or key is currently available, though Adalysis itself connects to Google and Microsoft through their platform APIs.
Compliance: Privacy policy and terms of service published, with a data retention section; no SOC 2, ISO 27001, GDPR compliance page, data processing agreement, or sub-processor list found
Data residency: Not documented.
SSO: Not documented. Two-factor authentication is delegated to your Google or Microsoft login rather than provided natively.
Security notes: Team permissions offer view-only and view-and-edit roles, with team members getting access to all features except billing and managing other team members, and unlimited users on all plans. Data refreshes daily at approximately four in the morning in the account's timezone, with keywords, search terms, and landing pages refreshing weekly by default and an on-demand refresh available. Export is CSV on most screens and PDF for Performance Analyzer results.

Support & resources

Channels: In-product contact form under Support, with no live chatStandard support with a 12-hour email response at the base bandPriority support with a 2-hour response on 97 percent of requests above $449 a monthDedicated account manager above $950 a month
Documentation: Extensive documentation at docs.adalysis.com covering onboarding, tools, billing, and a public quarterly changelog back to Q1 2024. Every page is available as markdown and the site exposes a query endpoint that answers questions against the docs with citations.
Community: No forum or user community was found. Free resources include a PPC audit report, free Looker Studio templates, free PPC tools, in-depth guides, comparison pages, YouTube tutorials, and an affiliate programme.

Company

Founded: 2013
Headquarters: London, United Kingdom
Ownership: Independent and founder-owned (Adalysis Ltd)
Founders: Brad Geddes, Emmanuel Gad
Employees: Very small, with filings and third-party sources indicating two to three people
Funding: None raised. Entirely bootstrapped, with no funding rounds recorded and no acquisitions made or received.

Timeline

2013Founded by Emmanuel Gad and Brad Geddes, author of Advanced Google AdWords and a paid search practitioner since 1998.
2014Launches publicly in July at $99 for up to a thousand active ads, with automatic test tracking across campaigns, ad groups, and devices requiring no manual configuration.
2024Begins publishing a public quarterly changelog, documenting releases from the first quarter onward.
2026Ships performance goals with over and under-pacing alerts in the first quarter, alongside a new Performance Max assets screen.
2026Adds Performance Max search-term n-grams and Search and Shopping overlap summaries in April, plus Performance Max channel reporting at campaign, asset group, and asset level.
2026Adds global custom alerts, Google Ads change history in the Performance Analyzer, capped budget auto-management, responsive search ad asset alerts, matched-location heatmaps, and a refreshed interface between May and June, and moves to ad-spend-slider pricing.

Integrations

Google Ads, including manager accounts
Microsoft Advertising
Looker Studio, the core reporting integration with more than fifty prebuilt templates
Google Analytics, as a Looker Studio data source
Facebook Insights, as a Looker Studio reporting data source only
Slack, for alert delivery
Email notifications
Google and Microsoft login, which also provides the two-factor layer

Frequently asked questions

10 questions

What is Adalysis?

Adalysis is a Google Ads and Microsoft Advertising optimization platform built around fully automated ad testing, with more than a hundred daily audit checks that can resolve themselves, impression-weighted quality score tracking, n-gram and duplicate search term analysis, a seven-tool budget suite, Performance Max auditing, a campaign builder, and Looker Studio reporting. It was founded in 2013 by Emmanuel Gad and Brad Geddes, the author of Advanced Google AdWords.

How much does Adalysis cost and does the price scale with ad spend?

Yes, and it is the clearest ladder in this category. There is one plan priced on a thirteen-step slider keyed to maximum monthly ad spend: $149 up to $50,000, $249 up to $150,000, $349 up to $250,000, $449 up to $350,000, and onward through $599, $775, $950, $1,300, $1,600, $2,000, $2,500, and $3,000 at a $5,000,000 ceiling. Six-month billing saves ten percent and annual saves fifteen. Pricing adjusts automatically each month with your actual spend, moving down as well as up.

What would I pay at $5,000, $25,000, and $100,000 of monthly spend?

At $5,000 you pay $149, which is three percent of media and the weakest value point because there is no step below a $50,000 ceiling. At $25,000 you pay the same $149, now about 0.6 percent of media, which is where the case starts working properly. At $100,000 you move to the $150,000 ceiling and pay $249, about 0.25 percent of media.

Is anything locked behind a higher tier?

No, and this is genuinely unusual. All forty-plus tools, unlimited Google Ads accounts, unlimited Microsoft Ads accounts, and unlimited users are included at $149 exactly as at $3,000. What higher spend buys is service: one, two, or three onboarding sessions, a twelve-hour or two-hour support response, two or three annual team training sessions, a thirty, forty-five, or sixty day trial, and a dedicated account manager at the top. Compared with the aggressive feature gating elsewhere in this category, that is a much fairer structure.

What makes the ad testing different from what Google offers?

Google will tell you an ad's ad strength and let you run an experiment you configure. Adalysis runs testing continuously with no setup, figuring out nightly where tests exist and adding or removing them as the account changes. It evaluates six metrics independently at a confidence level you set between 80 and 99 percent, automatically segments data by device, network, and ad format so results are comparable, tracks change history so a mid-test edit does not silently corrupt the result, and pauses or replaces losing ads on its own. Nothing else in this directory does that.

Does Adalysis actually change my account?

Yes, if you let it. Automated resolution actions are enabled per audit alert definition and cover adding converting search terms as keywords, adding poor performers as negative keywords, and excluding underperforming display placements. Ad testing pauses or replaces losing ads automatically. Daily budget automation adjusts budgets toward a target with a maximum adjustment percentage cap. Every automatic change is written to an auto changes log, which is the accountability layer such automation needs.

Which ad networks does Adalysis support?

Google Ads and Microsoft Advertising, both with unlimited accounts on every plan. The documentation is unusually direct about the rest: Adalysis is not a Meta Ads management tool and not an Amazon Ads platform. Facebook appears only as a Looker Studio data source inside report templates, meaning reporting but no optimization, alerting, testing, or automation. LinkedIn, TikTok, Pinterest, and Apple Search Ads are not supported.

How fresh is the data?

Not real-time, and this is a genuine limitation to weigh. The dashboard refreshes once daily at approximately four in the morning in the account's timezone, and keywords, search terms, and landing pages refresh weekly by default with an on-demand refresh button available. If you need to catch an anomaly within hours, this is not the tool for that job.

What happens to my data if I cancel?

It is not retained, and Adalysis says so plainly. The privacy policy states data is maintained only while you are using the service, and the documentation explicitly advises making sure you have everything you need before cancelling. Rules, custom alerts, test history, quality score history, and audit history are all lost, with no documented grace period, no read-only archive mode, and no API to extract data programmatically. Export routes are CSV on most screens and PDF for Performance Analyzer results. Cancellation itself takes effect at the end of the current billing cycle and there is no contract or minimum term.

Is a two or three person company safe to build agency operations on?

That is the fair question and it deserves a straight answer. Adalysis Ltd is bootstrapped, has raised nothing in twelve years, and filings suggest two to three employees. That is real continuity risk if you are running client accounts through it. What offsets it is a twelve-year operating history, a public quarterly changelog with dated releases running through 2026, documentation that is better than companies fifty times its size produce, and the fact that changes Adalysis pushes live in Google and Microsoft rather than in Adalysis, so the accounts survive whatever happens. The automation logic and history would not.

Editorial verdict

Adalysis is a specialist tool that is outstanding at what it specialises in. If ad testing and quality score matter to your paid search program, nothing else in this category comes close: continuous automatic testing across six metrics with configurable confidence, automatic segmentation, change-history integrity, and automatic pausing of losers, alongside the only impression-weighted quality score tracking available anywhere. The pricing structure is also the fairest here, with the entire product, unlimited accounts, and unlimited users at every price band and tiers that allocate support rather than gate features. Three things bound the recommendation. It is Google and Microsoft only and says so honestly. The bottom price band has no granularity below fifty thousand dollars of spend, so a small advertiser pays three percent of media for a toolset that needs volume to work. And the company is two or three people with no API, no SOC 2, and no data retention after cancellation. For a search-focused agency spending north of twenty thousand a month with the patience for a few weeks of learning, it is the best value in this directory. For anyone else, the constraints are real.

Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.