Google Ads conversion value rules can adjust value based on audience, geography, or device and can influence value-based bidding. The platform supports add or multiply adjustments under defined conditions and reports original value and rule effects in dedicated segments. A rule should express a durable business difference—not rescue weak tracking, encode a hunch, or claim that every person in a segment has the same worth.

VISUAL LESSON

What you will learn

  1. 01Decide whether a value rule is justified.
  2. 02Model conditions and adjustments safely.
  3. 03Audit reporting and realized value after launch.
Base conversion values pass through audience, location, and device rule gates into an auditable adjusted-value ledger
A conversion value rule should preserve the base value and make every adjustment visible, explainable, and testable.

ILLUSTRATIVE WORKED EXAMPLE

Model one illustrative adjustment

Base conversion valueValue sent before any rule
$100
Location multiplierIllustrative approved rule
×1.5
Adjusted valueValue used in reporting and bidding
$150
Realized margin reviewLater business evidence, not retroactive truth
$120
Illustrative example—not a benchmark. Replace every sample value with your own campaign, market, and measurement data.

PRACTICAL INTERFACE MAP

Create the rule and preserve an audit trail

Model01Define base and business difference

Document the conversion action, value source, segment, margin or revenue evidence, scope, owner, and expiry.

Rule02Build If, And, Then logic

Choose supported conditions, add or multiply adjustment, campaign scope, dates, and overlap behavior in the live interface.

Audit03Segment original and adjusted value

Review original value, rule adjustment, rule name, bidding changes, conversions, and realized outcomes together.

Conceptual walkthrough. Labels, controls, and availability can vary by account, region, plan, and interface version; verify the current screen before acting.

STEP-BY-STEP LESSON

Reliable base value → justified condition → adjustment → report → calibration

TruthConversion and base value
RuleAudience, location, device
AuditOriginal, adjusted, realized

THE LEAD ATLAS METHOD

Lead Atlas Data can research a custom business-contact cohort for the exact locations, industries, and market behind a paid campaign, giving the advertiser a separately labeled source for testing segment quality.See how custom list research works ↗
01

Fix the base value first

Confirm conversion actions, primary and secondary settings, counting, attribution, currency, transaction values, consent behavior, duplicate prevention, conversion delay, and offline imports. A rule multiplies or adds to what the system receives; it cannot make broken source data reliable.

Define the business value being optimized—revenue, gross profit proxy, qualified lead value, or another governed amount. Keep sales, refunds, cancellations, and margin evidence available for later calibration.

02

Write the rule hypothesis

Name the supported segment, expected business difference, evidence window, reason, owner, affected campaigns, adjustment method, start and end date, and stop condition. Prefer one explainable rule over several interacting guesses.

Google currently supports rule conditions based on audience, geographic location, and device. Do not encode sensitive or discriminatory treatment, and obtain legal or policy review for segmentation decisions that could affect protected or regulated groups.

03

Model conditions and overlap

Sketch the interface logic before creating it: If condition, optional And condition, Then add or multiply value, scope, dates, and rule name. Google notes that multiple selections inside one condition act together under the platform's logic and that account-wide rules require consistent conversion-action types.

Run low, working, and high adjustment scenarios. Estimate how the rule changes total conversion value, target ROAS behavior, campaign allocation, and exposure to data errors. Check overlapping rules and which one takes precedence in the current account.

04

Publish with a controlled window

Create the rule, verify affected actions and campaigns, preview eligible conditions, record screenshots, and schedule an observation period that respects conversion delay. Avoid simultaneous bid-target, budget, goal, audience, and value changes when the purpose is learning.

Monitor conversion volume, original value, adjustment, adjusted value, spend, target and actual ROAS, geographic or device mix, campaign allocation, warnings, and data freshness. A sudden value increase can be the rule working mechanically rather than customers becoming more valuable.

05

Audit against realized outcomes

Use Google's value-rule reporting segments to separate original conversion value, original value without a rule, and rule adjustment where available. Reconcile the rule name and segment with actual revenue, margin, qualification, refunds, sales cycle, and customer quality.

Deliverable: conversion tracking audit, base-value definition, rule hypothesis, evidence source, condition and overlap map, scenario worksheet, live setup capture, change log, original-versus-adjusted report, realized-value reconciliation, bias review, and retain, recalibrate, expire, or remove decision.

THE TAKEAWAY

Start from reliable base values, model one justified adjustment, preview overlaps and scope, audit original versus adjusted reporting, and compare the rule with realized business value.

OFFICIAL REFERENCES

Check the platform’s current instructions.

Platform labels, eligibility, and workflows can change. These official help pages were used to validate this lesson.