Audience targeting

Target traffic with a rule-tree and 15 operators.

Audience targeting turns URL, device, browser, UTM, geo and saved-audience rules into a decision tree marketers can read.

Rule-tree15 operatorsUTMGeo
Product layerAudience targeting
Module control
Primary signalRule-tree, condition groups and detailed audience operators.

This module connects setup, reporting and decision output inside the Testvoy workflow.

OperatorsContains, equals, starts with and similar rule families
PrivacyTargeting without collecting unnecessary personal data
DecisionThe right message for the right segment
01BuildAND/OR groups
02ValidateURL and query rules
03DecideDevice, browser and geo
Audience targeting

Stop showing the same experience to everyone. Match the message to intent and context.

Testvoy Audience Targeting turns URL, UTM, device, location, behavior and customer attributes into a readable rule-tree. Growth teams can understand the segment logic while technical teams keep conditions accurate and reusable.

Rule-treeReadable rules

AND/OR groups become a decision tree marketers can read.

UTMCampaign context

Google Ads, Meta, email or influencer traffic can receive different messaging.

BehaviorIntent signal

Cart visits, page depth and returning visitor state can guide targeting.

ReusableSaved audiences

Audiences can be reused across experiments and personalization flows.

Product capabilities

The core job Testvoy solves with this module.

This section shows what the module helps teams do, which risks it reduces and which decision it makes easier to defend.

Back to product hub
01

Readable targeting

The rule tree keeps technical correctness while staying understandable for growth teams.

  • AND/OR groups
  • URL and query rules
  • Device, browser and geo
02

Reusable audiences

Saved audience rules can be reused across experiments, personalization and flag flows.

  • Saved audiences
  • UTM campaign rules
  • QA preview
Where teams use it

Built for the experiment and optimization workflows teams run every week.

01

Match campaign messaging

Show direct offers to Google Ads visitors and trust-focused messaging to organic users.

02

Separate mobile and desktop

Offer a shorter path to mobile visitors and a deeper product story to desktop users.

03

High-intent visitors

Show clearer CTAs to users who already visited pricing, cart or demo pages.

Decision path

The role this module plays in the experiment program.

01

Readable targeting

The rule tree keeps technical correctness while staying understandable for growth teams.

02

AND/OR groups

URL and query rules

03

Reusable audiences

Saved audience rules can be reused across experiments, personalization and flag flows.

04

Operators

Contains, equals, starts with and similar rule families

How it works

Clearer setup, cleaner signals, faster decisions.

Testvoy positions this module to help teams move from experiment idea to report with the same data, context and decision language.

Personalization starts with accurate targeting

Personalization is not only showing different content. It is showing the right message to the right person in the right context.

  • UTM source, campaign and query rules can be used
  • Device, browser and geo signals enter targeting context
  • Returning visitor and behavior rules can define segments

Rule-trees combine technical accuracy with marketing readability

If targeting rules stay hidden in code or JSON, growth teams lose the decision context. Testvoy keeps rules understandable, editable and QA-friendly.

  • AND/OR condition groups stay visible
  • Operator families support varied targeting needs
  • Preview and QA reduce wrong-segment risk

Segment reports show whether targeting worked

Targeting the right segment matters, but teams also need to know how that segment responded. Segment-level reporting turns personalization into a decision surface.

  • Segment-level conversion and funnel impact can be read
  • Campaign traffic can be separated from other sources
  • Saved-audience performance can be compared across experiments
FAQ

Fast answers before the decision.

Which signals can audience targeting use?

URL, query, UTM, device, browser, location, behavior and customer attribute signals can connect to targeting.

What are saved audiences for?

They let teams reuse audience rules across experiments, personalization and flag flows.

Does targeting require unnecessary personal data?

No. Testvoy emphasizes contextual and behavioral targeting without collecting unnecessary personal data.

Rule-tree, condition groups and detailed audience operators.

Targeting without collecting unnecessary personal data