Google Ads Experiments

Run Google Ads Experiments Without the Setup

Setting up a Google Ads experiment manually takes navigating three separate sections in the Ads UI, and most PPC managers skip it every single time. Allable replaces that with a single chat message. Describe the campaign, the hypothesis, and the traffic split, and the experiment is ready in under a minute.

See How It Works

Hello! 👋

I'm your AllAble assistant. Fill in the highlighted fields below and hit send — I'll take it from there.

Live — fill in the fields, then send
< 1 min
To set up a campaign experiment
3 min
Avg. draft time across all tasks
10+ hrs/week
Saved per marketer
6
Campaign types supported

Setting up a Google Ads experiment takes navigating three separate sections in the Ads UI, and most PPC managers skip it every single time.

The setup sequence spans Campaign Drafts, then Experiments, then linking the draft, then configuring the traffic split. Tools like Google Ads UI and Optmyzr both support experiments, but the workflow is manual and the sequence is non-obvious enough that most teams skip it. Most experiments never get created because the setup overhead never feels worth the time.

HOW IT WORKS

Experiments, Configured Through Chat

Chat to Experiment

Type the campaign name, your hypothesis, and the traffic split in one message. Allable creates the campaign draft, links it as an experiment, and configures the split automatically. No manual navigation, no multi-step forms to fill out.

Flexible Traffic Splits

Specify any split in plain English: 50/50, 70/30, or 80/20. You can adjust mid-experiment to send more traffic to the winning variant before the test period ends. The split updates in your connected Google Ads account immediately.

Compare Results in Chat

Ask Allable how your experiment is performing at any point during the test. It pulls live metrics for both the experiment and control arms side by side. No manual report pulling, no switching between campaign views.

You Approve Every Change

Allable never auto-applies experiment results to your base campaign. You review the data, decide which variant wins, and confirm in chat. The change only executes with your explicit instruction.

How it works

One Chat Message Sets Up the Whole Experiment

Allable's experiment feature runs inside the same workspace as your Google Ads campaigns, audiences, and bidding data. Your AI has full context of what you're testing and why, so it builds the right experiment structure without asking you to fill in forms.

  • Type the experiment in plain English and Allable creates the campaign draft, links it, and sets the traffic split in one turn.
  • Ask for a results summary at any point and get a side-by-side comparison of your experiment and control metrics in seconds.
  • Confirm the winning variant in chat and Allable applies the changes to your base campaign without any UI navigation.

WHO IT'S FOR

Built for Every Testing Owner

In-House PPC Manager

You manage 10 campaigns and know you should be running experiments regularly, but the manual setup in Google Ads takes 30 minutes every single time. The setup sequence spans three separate sections: Campaign Drafts, then Experiments, then linking the draft, then configuring the split. With Allable, you describe the experiment in chat and it is live in under a minute.

Junior PPC Manager

You know experiments are best practice and you have seen the case studies, but every time you try to set one up you end up in a Google help article and give up after 20 minutes. The setup sequence is opaque enough that starting from scratch without a walkthrough feels like a real time commitment. Allable handles the full setup: describe what you want to test, and it builds the experiment, sets the split, and tells you what metrics to watch.

Agency PPC Lead

You run experiments across 8 or more client accounts, which means repeating the same multi-step manual workflow in Google Ads every time you want to test something. The repetition adds up: 30 minutes of setup per experiment across a 10-client book of business turns experiment testing into a resource decision rather than a default behavior. Allable replaces the manual workflow with a single chat command, so running experiments becomes as fast as any other campaign action.

How it compares

Allable vs. Google Ads UI vs. Optmyzr

FeatureAllableGoogle Ads UI (manual)WordStreamOptmyzr
Chat-based setupIncluded8-step UI workflowNot availableForm-based only
Setup time< 1 min20-40 minN/A10-20 min
Traffic split optionsPlain English inputSlider, buried in DraftsNot availableGuided form input
Hypothesis fieldConversationalNo field, tracked externallyNot availableLabel / notes only
Compare results in-platformChat report, on demandManual cross-campaignNot availableDashboard view
Apply winning variantChat commandApply button in UINot availableOne-click apply
Mid-experiment split adjustmentIncludedManual UI updateNot availableLimited
Works without third-party subscriptionSubscription requiredIncluded with Google AdsSubscription requiredSubscription required
No additional monthly costPaid plan requiredFree with Google AdsPaid plan requiredPaid plan required
All campaign types (Search, PMax, Shopping, Video)All 6 typesAll 6 typesNo experimentsSearch and Display focus
Plain-English commandsIncludedUI clicks onlyNot includedNot included
Results reviewed before applyingHuman approval requiredManual reviewNot availableDashboard review
Connected to other marketing channelsSEO, content, social in one workspaceGoogle Ads onlyMultiple ad platformsMultiple ad platforms

FAQ

Google Ads Experiments, Answered

What is a Google Ads experiment?

A Google Ads experiment is an A/B test that splits traffic between your original campaign (the control) and a modified variant (the experiment). It lets you test changes in a controlled way before applying them to the full campaign. Changes can include bidding strategies, ad copy, targeting settings, landing pages, and campaign structure.

How do I set up a Google Ads experiment with Allable?

Describe the experiment in chat: include the campaign name, what you want to test, and your preferred traffic split. Allable creates the campaign draft, links it as an experiment, and sets the split in your Google Ads account. It also tells you which metrics to monitor and how long to run the test before reading results.

What traffic splits can I use?

You can specify any split in plain English: 50/50, 70/30, 80/20, or any ratio you prefer. You can also adjust the split mid-experiment to send more traffic to the winning variant before the test period ends. Just tell Allable what you want and it updates the split in your account.

What can I test with Google Ads experiments?

You can test bidding strategies (for example, tROAS vs. manual CPC, or Smart Bidding vs. manual), ad copy variants, landing page URLs, targeting settings, and campaign structure changes. Experiments work with all campaign types: Search, Display, Shopping, Video, Performance Max, and Demand Gen. Performance Max experiments have some Google-imposed limitations on what can be varied, but bid strategy and settings are fully testable.

Does Allable automatically apply the winning experiment?

No. Allable follows a strict human-in-the-loop model for all changes. It presents the experiment results in chat and waits for your instruction. You decide whether to apply the experiment to the base campaign, roll it back, or extend the test. Nothing happens automatically.

Which campaign types support Google Ads experiments?

All of them. Search, Display, Shopping, Video, Performance Max, and Demand Gen campaigns all support experiments via Allable. Performance Max has some platform-level limitations set by Google itself, such as the inability to test individual asset groups directly, but you can test bid strategies and campaign-level settings without restriction.

Run Your First Experiment in Under a Minute

Allable builds the experiment from your description, sets the traffic split, and monitors results inside the same workspace where you manage every other part of your Google Ads strategy. No setup guides required.