Google Ads Conversion Value Rules: Adjusting Value by Location & Device (2026 Guide)

Not all conversions are created equal.

That is the truth most Google Ads accounts ignore.

A lead is not just a lead.

A sale is not just a sale.

A booking is not just a booking.

A customer in one city may be worth more than a customer in another.

A desktop lead may close at a higher rate than a mobile lead.

A returning visitor may buy faster than someone who has never heard of you.

A lead from a high-value audience may become a better customer.

But many accounts still report every conversion with the same value.

That creates a problem.

If every lead is worth $100 in Google Ads, Smart Bidding will optimise as if every lead has the same business value.

But you know the truth:

• A lead from a mobile device may have lower close rate in some high-ticket industries.
• A lead from California or London may have a higher Lifetime Value (LTV).
• A lead from your "Pricing Page Visitors" audience may close faster.
• A returning customer may be worth more for repeat purchases.
• A customer from an expensive shipping region may be worth less after fulfilment costs.

Conversion Value Rules allow you to inject this business logic into Google Ads without rebuilding your whole account.

They help you adjust reported conversion value based on conditions such as location, device and audience.

That can help value-based Smart Bidding make better decisions.

In this "Mega-Authority" guide, we cover:

1. The Logic: Why adjusting value aids tROAS.
2. The 3 Triggers: Location, Device, Audience.
3. Implementation: Step-by-step setup.
4. Reporting: Seeing the "Original" vs "Adjusted" value.

The goal is simple.

Stop treating average customers like identical customers.

Teach the machine what your business already knows.

---

Part 1: The Problem with Average Value

Average value is useful.

But it is also dangerous.

It hides the difference between good conversions and weak conversions.

You set a conversion value of $100 for a "Lead".

• User A (Low Quality) converts. Google records $100.
• User B (High Quality) converts. Google records $100.
• Google thinks they are equal.

But they are not equal.

The Reality:

• User A closes at 10% -> Real Value $10.
• User B closes at 40% -> Real Value $40.

If you do not adjust value, you may overpay for A and lose B to competitors.

This is one of the biggest hidden problems in lead generation.

The account may look fine.

Conversions are coming in.

CPA looks stable.

The dashboard looks clean.

But the sales team sees the truth.

Some leads are good.

Some are poor.

Some answer the phone.

Some never reply.

Some have budget.

Some cannot afford the service.

Some are in the right area.

Some are too far away.

Some buy quickly.

Some waste hours.

If Google Ads cannot see that difference, it may optimise towards the easiest conversions instead of the best conversions.

That is how lead generation accounts become misleading.

Lower CPA does not always mean better performance.

Sometimes a low CPA means you are buying low-value leads.

A more expensive lead can be better if it closes at a higher rate or creates higher revenue.

This matters for:

1. B2B services.
2. SaaS.
3. Legal services.
4. Finance.
5. Healthcare.
6. Home improvement.
7. Automotive.
8. Hotels and venues.
9. Ecommerce.
10. Local services.

The problem also exists in ecommerce.

Not every sale is equally profitable.

A customer from one region may have high shipping costs.

A customer on one device may buy low-margin products.

A returning customer may have better lifetime value.

A new customer may be worth more than a returning customer if acquisition is the goal.

A conversion value rule helps you bring these realities into Google Ads.

It does not replace proper revenue tracking.

It does not replace offline conversion imports.

It does not replace CRM data.

But it gives you a practical way to adjust value when you know one segment is worth more or less than another.

That is where it becomes useful.

---

Part 2: Theory - Value Adjustment Multipliers

Value rules work by adjusting conversion values.

A simple example:

Condition: IF Location = New York, THEN Multiply Value by 1.5.

• Original Value: $100.
• Reported Value: $150.
• Result: Value-based bidding can treat that conversion as more valuable.

This matters most when using strategies such as Target ROAS or Maximise conversion value.

If you use conversion value rules with a value-based bidding strategy, Google can use those adjusted values in real time. :contentReference[oaicite:1]

The rule does not magically create more profit.

It changes the value signal.

That signal tells Google:

"This type of conversion matters more to us."

Or:

"This type of conversion matters less to us."

For example:

If London leads close at a higher rate, you may multiply London lead values by 1.3.

If mobile leads are weaker for a high-ticket B2B service, you may multiply mobile value by 0.7.

If past purchasers have higher repeat order value, you may multiply that audience by 1.5.

The point is not to make reporting look better.

The point is to make bidding closer to business reality.

But be careful.

Bad rules create bad bidding.

If you guess, you can push the algorithm in the wrong direction.

If you overvalue the wrong audience, you may waste money.

If you undervalue a good segment, you may lose profitable customers.

Conversion value rules should come from data.

Not opinion.

Not bias.

Not a sales team anecdote from one bad call.

Use CRM data, ecommerce data, call quality data, revenue data and margin data.

A good value rule should answer:

1. What segment is different?
2. How much more or less valuable is it?
3. Is the data statistically meaningful?
4. Is the difference stable over time?
5. Does the business want more or less of this segment?
6. Can Smart Bidding use this signal safely?
7. Will the rule distort reporting?

The best rules are simple, conservative and backed by evidence.

---

Part 3: Framework - When to Apply Rules

Don't guess.

Use your CRM data.

This table shows the principle.

But each rule needs judgement.

Location Rules

Location rules are useful when geography changes value.

Examples:

1. Higher deal size in major cities.
2. Higher profit margin in certain regions.
3. Better close rate in certain service areas.
4. Lower fulfilment cost near warehouses.
5. Higher store visit value near branches.
6. Stronger lifetime value in affluent postcodes.
7. Lower quality from regions outside the ideal market.

For local services, location can be very important.

A lead close to the business may be easier to serve.

A lead outside the service area may be less valuable.

A job in one area may have better margins.

A city centre customer may be worth more than a remote customer.

For ecommerce, location can affect shipping, returns, duty, delivery time and margin.

So location rules are often the first place to start.

Device Rules

Device rules are useful when device behaviour clearly affects value.

But be careful.

It is easy to assume mobile is lower quality.

That is not always true.

For emergency services, mobile may be the best device.

For restaurants, mobile may be strong.

For local searches, mobile can be high intent.

For B2B software, desktop may produce better demo quality.

For high-ticket consulting, desktop users may spend more time researching.

The data must decide.

Before applying a device rule, check:

1. Conversion volume by device.
2. CPA by device.
3. Close rate by device.
4. Revenue by device.
5. Average order value by device.
6. Call quality by device.
7. Form quality by device.
8. Assisted conversions by device.

If mobile converts poorly but later assists desktop conversions, be careful.

Device behaviour is often part of a journey.

Do not punish it blindly.

Audience Rules

Audience rules are powerful because they reflect relationship.

A person who has already visited your website is different from a stranger.

A past purchaser is different from a first-time visitor.

A high-value customer list is different from a general remarketing list.

Useful audience rules can include:

1. Past purchasers.
2. Cart abandoners.
3. Pricing page visitors.
4. Qualified leads.
5. High-LTV customers.
6. Returning visitors.
7. Customer Match lists.
8. Newsletter subscribers.
9. Lapsed customers.
10. Existing customers to downweight or exclude.

This is where value rules become strategic.

For acquisition campaigns, you may value new customers higher.

For retention campaigns, you may value existing customers higher.

For lead generation, you may value qualified CRM segments higher.

For ecommerce, you may value high-margin repeat buyers higher.

The rule must match the goal.

Do not value an audience higher just because they convert easily.

Value them higher if they are worth more to the business.

That distinction matters.

---

Part 4: Execution - Setup Guide

The setup is simple.

The thinking before setup is the hard part.

1. Go to Tools → Measurement → Conversions.
2. Click Value Rules.
3. Click Create Value Rule.
4. Primary Condition: Select "Location".
5. Select Locations: Choose your high-value states/cities.
6. Value: "Multiply by" -> 1.2.
7. Apply To: "All Conversion Actions" or specific conversion actions.

Google allows rules based on conditions such as audiences, geographic locations and device, and each rule can use a primary and secondary condition. :contentReference[oaicite:2]

Before publishing a rule, decide:

1. Does this apply to all conversion actions?
2. Does it apply only to purchases?
3. Does it apply only to leads?
4. Does it apply only to store visits?
5. Should it apply account-wide?
6. Should it apply only to selected campaigns?
7. Is this rule temporary or permanent?
8. Is the multiplier conservative enough?

For most accounts, start with one rule.

Do not create ten rules on day one.

If you create too many rules, reporting becomes harder.

You may not know which rule changed performance.

Start with the strongest evidence.

For example:

If CRM data shows London leads have 30% higher revenue, start with a London x1.3 rule.

Run it.

Monitor adjusted value.

Monitor bidding behaviour.

Monitor conversion volume.

Monitor CPA and ROAS.

Then add the next rule only when the first is understood.

Pro Tip: Be careful with rule interaction and specificity.

Google Ads uses rule logic to decide which rules apply. The exact behaviour can depend on rule type, conditions and rule sets. Before stacking many location, device and audience rules, review the preview and reporting in your account.

A safer working principle:

1. Keep rules simple.
2. Use specific rules for specific business cases.
3. Avoid overlapping rules unless necessary.
4. Review reporting after launch.
5. Do not assume every rule stacks the way you expect.

If you are unsure, test one rule first.

That gives you clean learning.

---

Part 5: Reporting - The Truth Check

Once active, how do you know it is working?

You need to check reporting.

1. Go to Campaigns.
2. Segment by Conversions → Value Rule Adjustment where available.
3. Review:
   • Original Value: The value before adjustment.
   • Adjustment: The value added or reduced by rules.
   • Total Value: The adjusted value used in reporting.

If your "Adjustments" column is $0, your rules may be too narrow or not matching traffic.

That can happen when:

1. The location has little traffic.
2. The audience list is too small.
3. The device condition rarely matches.
4. The rule is not applied to the relevant campaigns.
5. The rule is not applied to the relevant conversion action.
6. The campaign type does not support the setup as expected.
7. The rule has not had enough time to collect data.

Do not judge too early.

Give the account enough volume.

Then review.

The most important reporting question is not:

"Did the adjusted value increase?"

It is:

"Did business performance improve?"

Check:

1. Revenue.
2. ROAS.
3. Profit.
4. Lead quality.
5. Close rate.
6. Cost per qualified lead.
7. Sales accepted lead rate.
8. Average order value.
9. Lifetime value.
10. Payback period.

A value rule can make Google Ads reporting look better without making the business better if the rule is wrong.

That is why CRM validation matters.

You should review value rules every 30 to 90 days.

Markets change.

Lead quality changes.

Shipping costs change.

Locations change.

Device behaviour changes.

Audience behaviour changes.

A rule that was correct six months ago may be wrong today.

Value rules need maintenance.

They are not set and forget.

---

Part 6: Summary & Checklist

Value Rules are the bridge between "Average Bidding" and "Profit Bidding."

They help you move beyond treating every conversion as equal.

They let you tell Google Ads that certain users, locations or devices are worth more or less to your business.

They are especially useful when your conversion tag cannot capture every piece of business value directly.

But they must be used with care.

They are powerful because they influence bidding.

That also means bad rules can waste money.

Your Action Plan:

1. Analyze your CRM data for geo, device and audience value differences.
2. Create one Location rule for your top performing region.
3. Create one Audience rule for existing customers if you want to value them higher or lower.
4. Monitor the "Value Rule Adjustment" segment in 30 days.

Here is the deeper checklist:

1. Check whether your account uses static values.
2. Calculate close rate by location.
3. Calculate revenue or profit by location.
4. Calculate conversion quality by device.
5. Calculate value by audience segment.
6. Use CRM or ecommerce data, not guesses.
7. Start with one high-confidence rule.
8. Use conservative multipliers.
9. Apply rules only to relevant conversion actions.
10. Check whether the campaign uses value-based bidding.
11. Review original vs adjusted value.
12. Monitor lead quality after launch.
13. Avoid stacking too many rules too early.
14. Review rules every 30 to 90 days.
15. Remove rules that no longer reflect business value.

Teach the machine what matters.

But make sure what you teach it is true.

---

The Three Types of Value Rules (With Examples)

Value Rules let you apply adjustments based on three main dimensions:

1. Location Rules — The "Market Value" Filter

Location affects business value.

Sometimes because people in one region spend more.

Sometimes because the cost to serve them is lower.

Sometimes because the sales team closes those leads better.

Sometimes because delivery, labour or fulfilment costs differ.

Examples:

• B2B SaaS: Customers in Tier 1 cities such as SF, NY or London close faster and pay more -> multiply value by 1.2x for those locations.
• Ecommerce: Shipping to Hawaii costs $50 extra -> multiply value by 0.7x for Hawaii to protect margin.
• Local Services: Customers within 5 miles convert into higher-margin jobs -> multiply value by 1.3x for that radius.
• Hotels: Guests from certain feeder cities book higher-value packages -> multiply value by 1.2x for those locations.

Use location rules where the difference is real.

Not because a city feels important.

Because the data proves it.

2. Device Rules — The "Behaviour" Filter

Device can reflect behaviour.

Desktop may show deeper research.

Mobile may show urgency.

Tablet may behave differently again.

But device rules need care.

Examples:

• High-ticket consulting ($5,000 package): Desktop leads may close better than mobile leads -> multiply Desktop value by 1.3x if CRM data supports it.
• Emergency services: Mobile callers may be highest intent -> multiply Mobile value by 1.2x if qualified call rate is strong.
• Ecommerce: Mobile may drive browsing but desktop may complete higher-value purchases -> adjust only after checking assisted journeys.

Do not punish mobile automatically.

Mobile often starts the journey.

In some local categories, mobile is the journey.

Let the data decide.

3. Audience Rules — The "Relationship" Filter

Audience rules are often the most strategic.

They reflect what the person already means to your business.

Examples:

• Recurring purchases: A returning customer on your remarketing list has higher repeat value -> multiply value by 1.5x for "Past Purchasers".
• Lead generation: Pricing page visitors close faster -> multiply value by 1.3x for that audience.
• Customer Match: High-LTV customers produce stronger long-term value -> multiply value by 1.5x for that list.
• Acquisition control: Existing customers should not be overvalued in new customer campaigns -> multiply value lower or exclude where appropriate.

Audience rules should match the campaign goal.

If the goal is acquisition, you may not want to overvalue existing customers.

If the goal is retention, you might.

The context matters.

Verifying Your Rules Are Firing

After setup, go to Campaign view → Segment by Conversions → Value Rule Adjustment.

You may see:

• Original Value: $10,000
• Value Rules Adjustment: +$2,000
• Total Value: $12,000

If the "Adjustment" column is $0, your rules may be too strict.

Widen the geo.

Review the audience size.

Check the device condition.

Check the applied conversion actions.

Check the applied campaigns.

Then test again.

The final rule is simple.

Use conversion value rules to reflect real value.

Not hope.

Not bias.

Not vanity.

Real business value.

That is how you move from average bidding to smarter bidding.