Audience
The exact segment that will receive the communication, including its inclusion and exclusion logic.
AI marketing experimentation
Test a reasoned hypothesis, not another random headline.
Aria links each micro-segment to a business question, creates controlled A/B/C communications, coordinates the required workflows, and keeps the learning for the next test.
Experiment contract
Aria keeps the parts that make a test interpretable.
Hypothesis
The expected behavioral difference and the reason the chosen change may produce it.
Controlled variable
The message, proof, CTA, offer presentation, timing, channel, or experience being compared.
Workflow outputs
The landing page, email, social post, ad, article, creative brief, or other assets required for each variant.
Outcome and guardrail
The primary success signal plus the quality, cost, compliance, or customer-experience limit that must not be sacrificed.
Decision and memory
What happens after the result, how uncertainty is handled, and which evidence becomes reusable context.
Example A/B/C structure
Three variants. One deliberate question.
The variants change the reason to act, not every element at once.
Outcome first
Does leading with the desired result help an outcome-aware segment move faster?
Proof first
Does evidence reduce uncertainty for a segment that already understands the promise?
Objection first
Does addressing implementation friction unlock a high-intent but hesitant segment?
Next test
Which result is reliable enough to act on, and what new question did the test reveal?
Where workflows fit
One experiment can coordinate many specialists.
Research workflows can identify customer language and objections. Strategy workflows can formulate the hypothesis. Execution workflows can create the page, email, ad, social, or content variants. Reporting workflows can compare the outcome and update the next-action backlog.
Aria is the CMO layer that connects those jobs to one business decision.
Explore specialist workflowsFAQ
Marketing experiment questions.
What is AI marketing experimentation?
AI marketing experimentation uses AI to help formulate hypotheses, create controlled variants, coordinate execution, and analyze outcomes. A valid experiment still needs a defined audience, changed variable, success signal, guardrail, and decision rule.
What does A/B/C testing mean in Aria?
A/B/C testing means comparing three intentional communication approaches for the same business question, such as outcome-first, proof-first, and objection-first messaging. Aria can also support simpler A/B tests or additional variants when the traffic and decision justify them.
Does Aria automatically choose the winning variant?
Aria can analyze results and recommend a decision, but the configured approval policy controls whether it may act automatically. Low-volume or ambiguous results should not be presented as a reliable winner.
Private beta
Bring one marketing question. Leave with a testable structure.
The beta call is free. We can show how Aria would define the segment, variants, workflows, approvals, and measurement for your case.