Maximize Conversion Value

Maximize Conversion Value is a Google Ads Smart Bidding strategy that automatically sets bids to generate the highest total conversion value (revenue) within your daily budget. Unlike Maximize Conversions which treats all conversions equally, this strategy prioritizes high-value conversions, making it ideal for e-commerce and businesses where conversion values vary significantly.

Key Takeaways

• Optimizes for total revenue, not conversion count
• Requires conversion value tracking to function
• Will spend your full daily budget
• Add an optional Target ROAS to set an efficiency floor
• Best for e-commerce, variable-value leads, and Shopping campaigns

What Is Maximize Conversion Value

Maximize Conversion Value is the revenue-focused counterpart to Maximize Conversions. While Maximize Conversions treats a $10 conversion and a $500 conversion equally (both count as “1”), Maximize Conversion Value steers budget toward the $500 conversion because it generates more value.

Strategy	Optimizes For	Treats $10 and $500 Conversions As…
Maximize Conversions	Conversion count	Equal (both = 1)
Maximize Conversion Value	Total conversion revenue	Different ($500 gets priority)
Max Conv. Value + Target ROAS	Revenue at target efficiency	Different, with efficiency floor

In the 2026 Google Ads interface, Maximize Conversion Value is a campaign-level bidding strategy available for Search, Shopping, Display, and Performance Max campaigns. Adding an optional Target ROAS target transforms it into a Target ROAS strategy with an efficiency constraint.

How It Works

Maximize Conversion Value layers value prediction on top of conversion prediction:

1. You set a daily budget — the spending cap
2. Conversion values are tracked — either dynamic (from your site, e.g., cart total) or static (assigned per conversion action)
3. For each auction, Google predicts both conversion probability AND expected conversion value
4. Bids are set to maximize total value: high bids for high-value prospects, low bids for low-value ones
5. Budget pacing distributes spend throughout the day, prioritizing auctions with the highest expected value

The key difference from Maximize Conversions: given a choice between two auctions, one with an 80% chance of a $20 conversion and another with a 30% chance of a $200 conversion, Maximize Conversion Value may prefer the second (expected value: $60 vs. $16).

Value signals the algorithm uses:

• Product price (from Shopping feed)
• Historical conversion values by keyword, audience, device, and location
• User-level signals for value prediction (signed-in user behavior)
• Conversion value rules (audience, location, device adjustments you configure)

Practical Example

An online furniture retailer compares Maximize Conversions vs. Maximize Conversion Value:

Month 1 — Maximize Conversions:

Metric	Value
Budget	$15,000
Spend	$15,000
Conversions	180
Revenue	$45,000
ROAS	3.0x
Avg Order Value	$250

Month 2 — Maximize Conversion Value (same budget):

Metric	Value
Budget	$15,000
Spend	$15,000
Conversions	145
Revenue	$58,000
ROAS	3.87x
Avg Order Value	$400

Analysis:

• Conversion count dropped 19% (180 to 145)
• Revenue increased 29% ($45,000 to $58,000)
• Average order value increased 60% ($250 to $400)
• The algorithm shifted budget away from low-value products (accent pillows, small decor) toward high-value products (sofas, dining sets)

The trade-off is clear: fewer conversions but significantly more revenue. For a retailer, revenue matters more than conversion count — 145 orders at $400 is preferable to 180 orders at $250.

With Target ROAS of 4.0x added (Month 3):

Metric	Value
Spend	$13,200
Conversions	128
Revenue	$52,800
ROAS	4.0x

Adding the ROAS target reduced spend slightly (budget not fully used) but improved efficiency to exactly 4.0x.

Why It Matters

Maximize Conversion Value is the right strategy when revenue matters more than volume:

• Revenue maximization — by prioritizing high-value conversions, this strategy generates more revenue from the same budget compared to strategies that treat all conversions equally
• Product mix optimization — the algorithm naturally steers traffic toward your highest-value products or services, improving your average order value without manual intervention
• Value-based bidding — this is Google’s implementation of the “value-based bidding” approach that industry best practices recommend for mature accounts
• ROAS scalability — adding a Target ROAS gives you a single lever to balance growth (lower ROAS target) and efficiency (higher ROAS target), making scaling decisions systematic

The requirement is accurate conversion value data. If your e-commerce platform reports revenue including tax and shipping but your margins are based on product cost, the algorithm optimizes toward the wrong signal. Ensure conversion values reflect the metric that matters for your business. For lead generation, assign values based on lead quality tiers or historical close rates rather than using a flat value per lead.