Google Ads Introduces New Ways to Acquire High-Value Customers and Drive Repeat Purchases

What the Latest Shopping, Search and Performance Max Updates Mean for Retailers, eCommerce, D2C Brands and Online Grocery Businesses

Introduction: What's Changing in Google Ads?

1.      A fashion retailer wants to acquire customers who will purchase beyond their first order.

2.      An online grocery business wants to bring back shoppers who haven't ordered recently.

3.      A beauty retailer wants to engage loyalty program members with relevant offers.

These businesses operate in different retail categories, but they share an important commercial challenge: how to acquire valuable customers, encourage repeat purchases and allocate advertising investment according to customer value.

Not every customer contributes equally to business growth.

A first-time shopper purchasing a single product, a returning customer placing regular orders and a loyalty member purchasing across multiple categories may have different purchasing patterns, commercial value and advertising requirements.

For retailers and eCommerce businesses, customer acquisition and retention therefore represent two connected components of sustainable growth.

Acquiring new customers expands the customer base. Encouraging existing customers to purchase again creates opportunities to generate additional revenue from established relationships.

On October 22, 2026, Google Ads introduced three developments designed to give advertisers greater flexibility across these customer lifecycle objectives.

The updates cover:

1. New Customer High Value Mode: Expanding to Shopping campaigns to help advertisers prioritize valuable new customers.
2. Customer Retention Goals: Introducing broader availability of Re-engagement, Loyalty and Retention Only modes.
3. Percentage-Based Value Multipliers: Allowing customer value adjustments to scale proportionally with transaction values instead of relying exclusively on fixed monetary amounts.

These developments are particularly relevant to retailers, eCommerce businesses, direct-to-consumer (D2C) brands, online grocery platforms and other consumer-facing businesses managing customer acquisition and repeat purchasing.

They also introduce additional considerations for media planning, audience segmentation, bidding strategy, conversion value measurement and budget allocation.

Three Google Ads Developments at a Glance

Google Ads development	What is it?	What's changing?	Relevant campaigns
New Customer High Value Mode	Prioritizes acquiring new customers expected to generate greater business value.	Expanding to Shopping campaigns after earlier availability in Search and Performance Max.	Shopping, Search, Performance Max
Customer Retention Goals	Helps advertisers prioritize or focus on selected existing-customer groups.	Re-engagement, Loyalty and Retention Only modes are becoming more widely available.	Shopping, Search, Performance Max
Percentage-Based Value Multipliers	Applies proportional customer value adjustments rather than relying exclusively on fixed monetary amounts.	Percentage multipliers provide additional flexibility across different transaction values.	Campaigns supporting the relevant customer value adjustments

Google announced October 2026 rollouts for these capabilities.

Each development addresses a different commercial requirement, making it useful to examine them individually before considering their combined implications for retail and eCommerce advertising.

 

01. New Customer High Value Mode: Prioritizing More Valuable New Customers

Understanding New Customer High Value Mode

New Customer High Value Mode is a Google Ads customer acquisition capability that helps advertisers prioritize new customers expected to generate greater value for their business.

The feature was previously introduced for Search and Performance Max campaigns. Google is now extending it to Shopping campaigns.

For retailers and eCommerce advertisers, this expansion is particularly relevant because Shopping campaigns connect product advertising with consumer purchase intent.

Consider two potential first-time customers visiting an online retailer.

One customer may purchase a relatively inexpensive item and never return.

Another may initially make a similar purchase but subsequently buy additional products across several categories.

Although their first transactions may look comparable, their eventual commercial contribution could be different.

New Customer High Value Mode allows advertisers to express a preference for acquiring customers expected to bring greater value.

Importantly, the mode does not require campaigns to focus exclusively on high-value new customers.

Campaigns can continue reaching their broader eligible audience while prioritizing valuable new customers through bidding.

What's Changing for Shopping Campaigns?

The October 2026 update extends this existing capability to Shopping campaigns.

This gives product-focused advertisers another way to incorporate customer value into their acquisition strategy.

For example, an online retailer may already use Shopping campaigns to promote products across multiple categories.

With New Customer High Value Mode, the retailer can place additional emphasis on acquiring customers expected to generate higher value while continuing to advertise to its broader eligible audience.

This distinction is important for media planning.

A campaign designed to acquire only new customers has a different objective from one that maintains broader reach while assigning greater importance to valuable new customers.

The latter allows businesses to pursue customer acquisition priorities without automatically excluding other eligible shoppers.

How High-Value Customer Acquisition Works

The underlying approach is based on customer value.

Rather than treating every potential new customer as commercially equivalent, advertisers can use customer lifecycle goals to communicate which customers are more valuable to acquire.

Google's bidding systems can then incorporate those value preferences into campaign optimization.

For advertisers, the business objective is to improve the quality and potential value of acquired customers.

However, expected customer value should be distinguished from realized customer value.

A customer predicted to be valuable may not necessarily become a frequent purchaser.

Actual purchase behavior remains important when evaluating campaign performance.

For this reason, acquisition reporting should examine both immediate transaction outcomes and subsequent customer activity wherever reliable business data is available.

Where High-Value Customer Acquisition Fits

Fashion and Apparel Retailers

Fashion retailers often manage broad product assortments, seasonal collections and customers with different purchasing frequencies.

A business selling footwear, apparel and accessories may want to acquire shoppers who are more likely to make additional purchases over time.

High-value customer acquisition can support that commercial objective by placing greater emphasis on valuable new customers.

Beauty and Cosmetics Brands

Beauty businesses frequently sell products that customers replenish or purchase repeatedly.

Skincare, haircare and personal care brands may therefore consider the potential for repeat purchases when evaluating customer acquisition.

A first transaction can be commercially important, but subsequent orders may contribute significantly to the overall customer relationship.

D2C Brands

Direct-to-consumer businesses often manage their own customer relationships and purchase histories.

This creates opportunities to evaluate customer acquisition beyond the initial order.

A D2C brand selling personal care products, nutritional products or consumer accessories may want to distinguish between acquiring any new customer and acquiring customers with stronger future purchasing potential.

Multi-Category Online Retailers

Large online retailers may serve customers across electronics, home products, fashion and other categories.

Different product categories can have different average order values and purchasing patterns.

Prioritizing valuable new customers can therefore become an important consideration when planning acquisition campaigns across the retailer's product portfolio.

European Retail Example: Acquiring High-Value Fashion Customers

Illustrative business scenario. No actual retailer or campaign results are implied.

Business Objective

Consider a European fashion retailer operating online stores in Germany, Austria and the Netherlands.

The retailer sells footwear, apparel and accessories, with customers purchasing across different categories.

Its acquisition objective is to attract new customers who have the potential to develop into repeat buyers.

Google Ads Application

The retailer already runs Shopping campaigns to promote its product inventory.

With New Customer High Value Mode becoming available for Shopping, the retailer could evaluate using the capability to prioritize valuable new customers while continuing to advertise to its broader eligible audience.

From a media planning perspective, the retailer would need to consider how customer acquisition objectives differ across its product categories and markets.

For example, the business might examine whether customers acquired through certain product categories subsequently purchase additional items.

These historical patterns could inform how the retailer evaluates the commercial value of customer acquisition.

Commercial Measurement

The campaign's effectiveness would be assessed through actual acquisition and purchasing outcomes rather than predicted value alone.

The retailer could evaluate newly acquired customers, acquisition costs, initial transaction revenue and subsequent purchasing activity.

The central question is whether the advertising investment generates customers whose commercial contribution supports the retailer's acquisition objectives.

What Advertisers Should Measure

For retailers considering New Customer High Value Mode, the central planning question is:

How much value does the business place on acquiring customers expected to generate greater future revenue?

That question should be supported by relevant commercial measurements.

KPI	What it measures	Why it matters
New Customers Acquired	Number of first-time customers generated	Measures customer base expansion
Customer Acquisition Cost (CAC)	Acquisition expenditure relative to acquired customers	Evaluates acquisition efficiency
New Customer Revenue	Revenue generated from newly acquired customers	Measures immediate commercial contribution
Average Order Value (AOV)	Average transaction value	Helps assess initial purchase value
Return on Ad Spend (ROAS)	Revenue relative to advertising expenditure	Evaluates advertising return
Repeat Purchase Rate	Share of acquired customers making additional purchases	Helps evaluate customer value over time
Customer Lifetime Value (CLV)	Estimated or realized value across the customer relationship	Supports longer-term acquisition decisions

These metrics should not be interpreted as interchangeable.

For example, a campaign may acquire customers at an attractive initial CAC without necessarily generating strong repeat purchasing.

Similarly, a customer with a relatively small first order may eventually generate substantial value through subsequent transactions.

The appropriate measurement approach depends on the retailer's commercial model and available customer data.

Availability and Rollout

Google announced that New Customer High Value Mode is rolling out to Shopping campaigns during October 2026.

The capability had already been introduced for Search and Performance Max.

The announcement does not establish that every advertiser account will receive access simultaneously, so businesses should assess availability within their eligible campaigns.

What This Means for Advertisers

For retailers, the opportunity is to evaluate customer acquisition beyond the first transaction.

Prioritizing potentially valuable new customers can support longer-term growth objectives, provided advertisers continue measuring actual purchasing behavior.

The commercial value of this development lies in connecting acquisition priorities with customer value, while retaining the ability to reach a broader eligible audience.

 

02. Customer Retention Goals: Re-engagement, Loyalty and Existing Customer Campaigns

Understanding Customer Retention Goals

Customer Retention Goals help advertisers engage existing customers according to their relationship with the business.

For retailers and eCommerce companies, existing customers are not a single uniform audience.

Some customers purchase regularly.

Others may have stopped purchasing.

Some belong to loyalty programs, while others may be valuable customers whom a business wants to engage through dedicated campaigns.

These groups can represent different commercial priorities.

Google's expanded retention capabilities introduce three approaches:

Re-engagement Mode: Prioritizing customers who have not purchased recently.

Loyalty Mode: Engaging loyalty program members through relevant advertising messages or member-specific offers.

Retention Only Mode: Running campaigns focused exclusively on specified existing-customer segments.

Following earlier beta testing, Google announced a broader rollout of these retention goals across Performance Max, Search and Shopping campaigns during October 2026.

Three Customer Retention Modes Compared

Retention mode	Primary objective	How it works	Potential business application
Re-engagement Mode	Encourage inactive customers to return	Prioritizes customers who have not purchased recently while maintaining broader campaign reach	Online grocery customer reactivation
Loyalty Mode	Engage loyalty program members	Supports relevant messages and member-only pricing	Beauty, fashion and retail loyalty programs
Retention Only Mode	Focus advertising on existing customers	Restricts campaigns to specified existing-customer segments	Dedicated retention campaigns for selected customer groups

Each mode supports a different customer relationship objective.

The distinction is particularly important when businesses operate acquisition and retention programs simultaneously.

Re-engagement Mode: Bringing Inactive Customers Back

Re-engagement Mode helps advertisers prioritize customers who have not purchased from the business for a period of time.

The campaign can continue reaching its broader target audience while assigning greater importance to these customers.

This makes the mode relevant to businesses with established customer bases and identifiable purchasing histories.

How Re-engagement Mode Works

A business first needs to determine which customers it considers inactive or lapsed.

That definition should reflect its purchasing cycle.

For example, the period of inactivity considered meaningful for an online grocery business may differ from the period used by an electronics retailer.

Google's customer lifecycle approach allows businesses to define lapsed customers according to their own criteria.

The advertiser can then use relevant customer information to support the re-engagement objective.

The goal is to prioritize customers whose previous relationship with the business makes reactivation commercially relevant.

Where Re-engagement Mode Fits

Online grocery businesses may want to reconnect with customers who previously ordered regularly but have stopped.

Beauty and personal care retailers may identify customers who have not returned after earlier purchases.

Fashion retailers may want to re-engage previous customers ahead of new collections or seasonal promotions.

D2C brands may use historical purchasing patterns to identify customers whose engagement has declined.

The appropriate definition of inactivity should reflect actual customer behavior rather than an arbitrary period applied across all industries.

European Retail Example: Bringing Online Grocery Customers Back

Illustrative business scenario.

Business Objective

Consider an online grocery retailer operating in Germany.

The business serves customers who place orders for household groceries, fresh products and other everyday essentials.

Some customers order regularly, while others stop purchasing after a period of activity.

The retailer wants to encourage previously active customers to return.

Google Ads Application

Using its available customer purchase records, the business could identify a group of customers who have not ordered within a commercially meaningful period.

Re-engagement Mode could then be considered as part of its Google Ads strategy.

The retailer would continue reaching its broader eligible audience while prioritizing the identified lapsed customers.

Its advertising messages could emphasize relevant products, current promotions or the retailer's existing service proposition.

Commercial Measurement

The business would evaluate performance through customer reactivation and actual purchasing activity.

 

KPI	Commercial relevance
Reactivated Customers	Number of previously inactive customers who purchase again
Reactivation Rate	Percentage of the defined inactive customer group returning to purchase
Cost per Reactivated Customer	Advertising expenditure relative to customers reactivated
Returning Customer Revenue	Revenue generated from returning buyers
Repeat Purchase Rate	Frequency of additional purchases among customers
ROAS	Revenue generated relative to advertising expenditure

A useful evaluation would distinguish between customers who returned after advertising exposure and the incremental reactivation attributable to advertising, where suitable measurement is available.

This distinction matters because some inactive customers may return without paid advertising.

Loyalty Mode: Engaging Existing Loyalty Program Members

Loyalty Mode supports businesses that operate customer loyalty programs.

It allows advertisers to engage loyalty members through relevant messaging or member-only pricing.

For retailers, loyalty programs can create identifiable customer groups with established relationships to the brand.

These groups may respond to different product messages or commercial offers than prospective customers.

How Loyalty Mode Works

A retailer can use its loyalty program information to support advertising directed toward relevant members.

The commercial proposition may involve exclusive member pricing or messages aligned with loyalty status.

For example, a retailer may want to communicate a promotion available only to members of its loyalty program.

The objective is to make advertising more relevant to customers who already participate in the brand's loyalty ecosystem.

Where Loyalty Mode Fits

Loyalty Mode may be relevant to:

• Beauty and cosmetics retailers with established membership programs.
• Fashion retailers offering loyalty benefits.
• Multi-category retailers with member-specific pricing.
• Online grocery businesses operating customer reward programs.
• D2C brands with identifiable loyalty communities.

The value of this approach depends on the business's loyalty proposition and its ability to identify the relevant customer group.

European Retail Example: Loyalty Campaigns for a Beauty Retailer

Illustrative business scenario.

Business Objective

Consider a beauty retailer operating online stores in France, Germany and Italy.

The business sells skincare, cosmetics, fragrances and personal care products.

It also operates a loyalty program that provides members with selected promotional benefits.

The retailer wants to increase engagement among existing loyalty members.

Google Ads Application

Loyalty Mode could support advertising that communicates relevant products or member-specific offers.

For example, the retailer might promote a skincare collection with pricing available to eligible loyalty members.

The campaign would be evaluated against the retailer's existing customer engagement and revenue objectives.

Commercial Measurement

KPI	Commercial relevance
Loyalty Member Purchases	Purchases generated by loyalty members
Loyalty Member Revenue	Revenue attributable to the loyalty customer segment
Repeat Purchase Rate	Continued purchasing activity
Average Order Value	Value of loyalty member transactions
ROAS	Advertising return
Incremental Revenue	Additional revenue attributable to advertising, where measurable

 

The business should evaluate whether its loyalty advertising generates additional purchasing activity rather than relying exclusively on total sales among existing members.

Retention Only Mode: Dedicated Campaigns for Existing Customers

Retention Only Mode serves a different purpose.

While Re-engagement Mode can prioritize inactive customers without abandoning broader reach, Retention Only Mode is designed for campaigns focused exclusively on specified existing-customer segments.

This gives advertisers a more focused way to pursue retention objectives.

How Retention Only Mode Works

The advertiser identifies the existing-customer segments relevant to its campaign.

The campaign is then configured around those specified groups rather than a general acquisition audience.

This can be useful when the business has a clearly defined retention objective.

For example, a retailer may want a dedicated advertising initiative focused on an existing customer group rather than combining that objective with broader customer acquisition.

Where Retention Only Mode Fits

Retention Only Mode may be relevant to established consumer businesses with sufficiently developed customer databases.

Online retailers: Dedicated campaigns aimed at selected existing-customer segments.

D2C brands: Campaigns focused on encouraging additional purchases among established customers.

Beauty retailers: Advertising initiatives directed toward identifiable customer groups.

Online grocery platforms: Retention-focused campaigns for selected existing shoppers.

The key requirement is that the business can identify the customer segments it wants to reach.

Media Planning and Audience Strategy for Customer Retention

The three retention modes create different media planning considerations.

Planning consideration	Re-engagement	Loyalty	Retention Only
Primary customer group	Inactive customers	Loyalty program members	Specified existing-customer segments
Main commercial objective	Customer reactivation	Loyalty engagement and purchasing	Dedicated customer retention
Audience approach	Prioritizes inactive customers while maintaining broader reach	Uses relevant loyalty customer information	Focuses on selected existing customers
Example KPI	Cost per reactivated customer	Loyalty member revenue	Revenue from the selected retention audience

 

For advertisers, the decision should begin with the commercial objective.

A business seeking to recover inactive customers has a different requirement from one promoting member-only offers.

Similarly, a retailer wanting a dedicated existing-customer campaign may prefer a different approach from a business that wants to retain broader campaign reach.

Customer Data: The Foundation of Retention Advertising

Retention advertising depends on the advertiser's ability to distinguish between relevant customer groups.

Useful information may include:

• Historical purchase activity.
• Customer recency and purchasing frequency.
• Loyalty program membership.
• Existing-customer classifications.
• Customer value information.

The quality and completeness of this data can influence how effectively a business defines its audiences.

Advertisers also need to account for the applicable privacy and consent requirements governing customer data use.

Availability Across Shopping, Search and Performance Max

Google announced that Customer Retention Goals are rolling out more broadly during October 2026 across:

• Performance Max.
• Search.
• Shopping.

The announcement describes Re-engagement, Loyalty and Retention Only as part of this expansion.

Account-level availability and applicable campaign requirements should be evaluated against the settings and guidance available to each advertiser.

What This Means for Advertisers

The expanded retention capabilities give businesses more flexibility in how they approach existing-customer advertising.

An online grocery business can evaluate re-engagement strategies for inactive shoppers.

A beauty retailer can explore loyalty-focused advertising.

An established eCommerce business can consider dedicated campaigns for specified existing-customer segments.

The commercial opportunity is to align retention advertising with identifiable customer relationships and measure the purchasing activity generated by those campaigns.

 

03. Percentage-Based Value Multipliers: More Flexible Value-Based Bidding

Understanding Percentage-Based Value Multipliers

Percentage-Based Value Multipliers allow advertisers to express customer value adjustments proportionally rather than relying exclusively on fixed monetary amounts.

This is particularly relevant for retailers selling products at different prices.

A fixed value adjustment may represent a substantial proportion of a small transaction but only a minor proportion of a larger one.

Percentage multipliers provide a way to scale the adjustment according to the underlying order value.

Google is introducing this capability as an alternative to fixed monetary adjustments.

For retail and eCommerce advertisers, the practical relevance lies in how customer value preferences are represented across transactions with different basket sizes.

Fixed Monetary Adjustments Versus Percentage Multipliers

Consider an online retailer selling products across different price ranges.

The retailer wants to express additional value for acquiring or retaining a particular customer group.

With a fixed monetary adjustment, the same amount is added regardless of the transaction size.

With a percentage multiplier, the adjustment changes proportionally with the order value.

Illustrative Comparison

Assume the retailer is comparing:

Approach A: A fixed €20 customer value adjustment.

Approach B: A percentage-based multiplier of 20%, equivalent to 1.2×.

Actual order value	Fixed €20 adjustment	Adjusted value with fixed amount	20% multiplier	Adjusted value with multiplier
€50	+€20	€70	+€10	€60
€100	+€20	€120	+€20	€120
€250	+€20	€270	+€50	€300
€500	+€20	€520	+€100	€600

 

 

All values are illustrative calculations, not reported campaign results.

The comparison demonstrates how the two approaches behave differently.

For a €50 order, a fixed €20 adjustment represents 40% of the transaction value.

For a €500 order, that same adjustment represents only 4%.

A 20% multiplier, by contrast, maintains the same proportional adjustment across both transactions.

This can make percentage-based value adjustments more suitable for businesses managing widely varying basket sizes.

How a 20% Multiplier Changes Bidding Values

Google's announcement illustrates the capability using a retailer applying a 20% multiplier.

The example demonstrates how the value adjustment scales proportionally with the customer's shopping cart.

Using euro-denominated illustrative values:

Actual order value	Customer value multiplier	Adjusted value used for bidding
€50	1.2×	€60
€100	1.2×	€120
€500	1.2×	€600

The distinction between actual revenue and adjusted bidding value is essential.

A €500 transaction remains €500 in actual sales revenue.

Applying a 1.2× multiplier produces an adjusted value of €600 for the relevant bidding calculation.

The additional €100 represents a value adjustment used to communicate the advertiser's customer value preference.

It does not represent additional revenue collected from the customer.

Similarly, the multiplier does not guarantee that an individual auction bid will increase by exactly 20%.

Automated bidding decisions depend on the wider campaign context and Google's bidding systems.

Where Percentage Multipliers Fit

Multi-Category Online Retailers

Retailers selling products across different categories often manage substantial differences in transaction value.

A business selling inexpensive accessories alongside higher-priced household appliances may find percentage-based adjustments more appropriate than a uniform fixed amount.

Fashion and Apparel

Fashion retailers may sell products ranging from low-priced accessories to premium clothing and footwear.

Percentage multipliers can help maintain proportional value adjustments across those different transaction sizes.

Consumer Electronics

Electronics retailers frequently operate across varied price points.

Accessories, headphones, smartphones and larger electronic products may generate very different basket values.

A percentage-based approach can help align customer value adjustments with those differences.

Beauty and Cosmetics

Beauty retailers may sell individual cosmetics, skincare products, fragrance collections and larger product bundles.

Different purchase combinations can produce different order values.

Percentage multipliers can provide more proportional treatment across these transactions.

D2C Brands

D2C businesses offering multiple product sizes, bundles or premium variants may also benefit from greater flexibility in customer value adjustments.

The relevant consideration is whether a proportional adjustment better reflects the business's commercial priorities.

European Retail Example: Value-Based Bidding for a Multi-Category eCommerce Business

Illustrative business scenario.

Business Objective

Consider a European eCommerce retailer operating in Germany and Austria.

Its product portfolio includes consumer electronics, home accessories and household products.

Transaction values vary considerably.

Some customers purchase small accessories, while others buy higher-priced products or multiple items in a single order.

The retailer wants to prioritize a particular customer lifecycle objective while accounting for these differences in basket value.

Google Ads Application

Previously, the retailer may have considered a fixed monetary customer value adjustment.

However, the same adjustment would have different proportional effects across small and large orders.

With percentage-based multipliers, the retailer could evaluate a proportional adjustment that scales with the transaction value.

For example, a 20% multiplier would apply the same relative adjustment to both a €50 transaction and a €500 transaction.

The retailer would still need to determine whether that adjustment accurately represents the additional value associated with the relevant customer group.

A percentage multiplier should reflect a deliberate commercial valuation rather than an arbitrary preference for larger bidding signals.

Commercial Measurement

The retailer would evaluate whether its chosen customer value adjustments support its actual commercial objectives.

Relevant measurements could include transaction revenue, average order value, customer acquisition costs, repeat purchasing and advertising return.

The business would also need to distinguish between the values used for bidding and the revenue actually generated.

Media Buying Implications: What Advertisers Should Measure

Percentage multipliers create additional flexibility, but they also require careful interpretation of campaign performance.

The main consideration is the distinction between actual transaction outcomes and values adjusted for bidding.

KPI	What it measures	Media buying relevance
Actual Revenue	Sales revenue generated by customers	Measures commercial performance
Conversion Value	Value attributed to recorded conversions	Supports campaign performance analysis
Adjusted Bidding Value	Conversion value incorporating applicable customer value adjustments	Communicates customer value priorities to bidding systems
Average Order Value (AOV)	Average value of completed orders	Helps assess basket-size differences
ROAS	Revenue or reported conversion value relative to ad spend, depending on calculation	Evaluates advertising return
Customer Acquisition Cost (CAC)	Cost of acquiring new customers	Measures acquisition efficiency
Repeat Purchase Rate	Share of customers purchasing again	Supports longer-term customer value evaluation

Actual Revenue Versus Adjusted Bidding Value

Consider a campaign generating €10,000 in actual sales revenue.

If customer value adjustments are applied, the adjusted value used by the bidding system may differ from that revenue figure.

This distinction matters when evaluating campaign performance.

Advertisers should understand which value is being used in their reporting and ROAS calculations.

A higher adjusted value does not automatically indicate that the business generated additional sales revenue.

The objective is to communicate customer value more appropriately to automated bidding while continuing to evaluate actual business results.

Evaluating the Commercial Value of Multipliers

A retailer considering percentage-based multipliers should examine whether the adjustment reflects its customer economics.

Relevant considerations include:

• Differences in average order value across customer groups.
• Historical repeat purchasing.
• Customer acquisition costs.
• Customer lifetime value.
• Actual revenue and profitability.

These considerations can help determine whether a percentage-based approach is commercially appropriate.

The selected multiplier should be evaluated against observed campaign and business outcomes.

Availability and Rollout

Google announced the introduction of percentage-based customer value multipliers in October 2026.

The capability provides an alternative to fixed monetary customer value adjustments.

Advertisers should evaluate availability within the relevant Google Ads campaign settings.

The announcement does not establish that every advertiser account or campaign type will receive access simultaneously.

What This Means for Advertisers

Percentage multipliers offer a more proportional way to express customer value across transactions of different sizes.

For retailers with varied product assortments and basket values, this flexibility can help align bidding signals with customer value priorities.

The important consideration is ensuring that the adjustment reflects genuine business value.

An increased bidding value is not additional sales revenue, and a percentage multiplier does not guarantee a corresponding increase in an individual auction bid.

 

04. What These Updates Mean for Retail, eCommerce and D2C Advertising

The three developments give advertisers additional ways to express customer acquisition and retention priorities within Google Ads.

Their commercial relevance depends on how a business acquires customers, generates repeat purchases and measures customer value.

Balancing New Customer Acquisition and Repeat Purchases

For consumer businesses, acquiring new customers and generating repeat purchases are related but distinct objectives.

A retailer seeking rapid customer base expansion may place greater emphasis on acquiring valuable new shoppers.

An established online grocery business may prioritize reconnecting with inactive customers.

A beauty retailer with an established loyalty program may focus on encouraging additional purchases among its members.

A multi-category eCommerce business may need greater flexibility in how it expresses customer value across different order sizes.

Google's updates support these different priorities through separate capabilities.

Business objective	Relevant Google Ads capability	Example industry
Acquire valuable new customers	New Customer High Value Mode	Fashion, beauty, D2C
Reconnect with inactive buyers	Re-engagement Mode	Online grocery, personal care
Engage loyalty program members	Loyalty Mode	Beauty, fashion, retail
Run dedicated existing-customer campaigns	Retention Only Mode	Established online retailers
Apply proportional customer value adjustments	Percentage-Based Value Multipliers	Multi-category eCommerce, electronics

The appropriate choice depends on the advertiser's commercial objective and customer data.

Using Customer Data to Support Acquisition and Retention

The updates increase the importance of distinguishing between customer groups.

For example, a retailer may need to identify:

• New customers.
• Existing customers.
• Customers who have stopped purchasing.
• Loyalty program members.
• Customers associated with higher business value.

These classifications can support different advertising objectives.

However, they depend on the quality of the business's underlying customer information.

Incomplete or inconsistent customer data can affect how reliably customer groups are identified.

For this reason, customer lifecycle advertising should be supported by clear definitions and relevant purchase records.

Businesses should also ensure that their use of customer data complies with applicable privacy requirements.

Aligning Bidding Signals With Business Objectives

The introduction of percentage multipliers creates another consideration for advertisers using value-based bidding.

Customer value adjustments should reflect genuine commercial priorities.

For example, a retailer may consider certain new customers more valuable because of their expected future purchasing potential.

Another business may place additional value on reactivating customers who previously purchased regularly.

Those priorities can inform how customer value is represented in bidding.

However, adjusted values should remain distinguishable from actual sales revenue.

This is particularly important when businesses evaluate campaign performance using ROAS, CAC and customer lifetime value.

Implications for Media Planning and Budget Allocation

The three developments can also influence how retailers evaluate their Google Ads investment.

A business may decide to prioritize new customer acquisition during a market expansion or product launch.

During another period, the same business may place greater emphasis on re-engaging existing customers.

Loyalty campaigns may serve a different commercial purpose from broad acquisition campaigns.

Percentage multipliers can support more proportional value adjustments across transactions of different sizes.

The important planning consideration is to connect each capability with a defined business objective.

Advertisers should assess the results using the relevant customer and revenue metrics rather than assuming that every campaign should pursue the same acquisition or retention target.

 

Conclusion: Customer Acquisition, Retention and Value-Based Bidding in Google Ads

Google's October 2026 customer lifecycle updates introduce additional flexibility for advertisers managing customer acquisition and retention.

New Customer High Value Mode extends to Shopping campaigns, allowing retailers to prioritize valuable new customers while maintaining broader reach.

Customer Retention Goals provide expanded options for re-engaging inactive customers, communicating with loyalty program members and running dedicated campaigns for existing-customer segments.

Percentage-Based Value Multipliers offer a more proportional approach to customer value adjustments across different transaction sizes.

For retailers, eCommerce businesses, D2C brands and online grocery platforms, these developments create opportunities to align Google Ads campaign objectives more closely with customer relationships and commercial value.

The effectiveness of each approach will depend on the advertiser's customer data, campaign configuration, bidding strategy and actual business outcomes.

As these capabilities roll out, the key consideration for performance marketers is how to translate customer acquisition and retention priorities into measurable advertising decisions.

The commercial objective remains consistent: acquire valuable customers, encourage repeat purchases and evaluate advertising performance against real business results.