ChatGPT Ads Introduces Target CPA, Target CPC and Expanded Campaign Controls

 

New bidding options, more precise geographic targeting and greater flexibility for product feed advertising.

ChatGPT Ads is expanding the controls available to advertisers, with changes to automated bidding, cost targets, geographic targeting and product selection.

The updates give performance marketers more flexibility in managing campaign costs and allow retail advertisers to refine where their product ads appear and which products are included.

There is also an important change coming to existing bidding options from 1 January 2027.

1. Target CPA and Target CPC Bidding

Two bidding options are being introduced in ChatGPT Ads Manager for new campaigns.

Target CPA (Cost Per Acquisition)

Advertisers can set an average amount they want to pay for a conversion, such as a purchase or lead.

For example, an advertiser targeting a €20 CPA can communicate that cost objective to the bidding system.

ChatGPT Ads then automatically adjusts bids and ad delivery towards achieving the target.

Target CPC (Cost Per Click)

Advertisers can also set an average amount they want to pay for an advertising click.

For example, an advertiser targeting a €1 CPC can use that amount as a cost objective while the system manages bidding and delivery.

In both cases, advertisers define the target, while the platform automatically manages individual bids.

These are average cost targets, not fixed prices. Actual CPA and CPC can be higher or lower than the selected targets.

2. Maximize Results Becomes Intelligent Bidding

The existing Maximize Results (Autobid) strategy is being renamed Intelligent Bidding.

This is a naming change rather than a change to the underlying bidding approach.

The system continues to automatically adjust bids and delivery to pursue the advertiser's desired business outcome within the available campaign budget.

For advertisers already familiar with Maximize Results, the core optimization approach remains the same.

3. Changes to Existing Bidding Options in January 2027

Two existing bidding options are scheduled to be retired on 1 January 2027.

Existing option	Replacement
Max Bid	Target CPA
Max CPC	Target CPC

The new Target CPA and Target CPC options are available for new campaigns.

The retirement announcement applies to existing campaigns, but details about how those settings will be migrated have not been specified.

This is an important distinction for advertisers managing campaigns that currently use Max Bid or Max CPC.

4. More Precise Geographic Targeting for Product Feed Campaigns

ChatGPT Ads is also expanding geographic targeting for product feed campaigns.

Advertisers can now select specific regions or markets within a country rather than relying only on broader country-level targeting.

Consider a retailer that serves customers in only three regions.

Instead of targeting an entire country, the advertiser can focus product advertising on the markets where the business actually operates.

This provides more flexibility for retailers whose product availability or service coverage varies by location.

The practical benefit is greater control over where product feed advertising is delivered.

5. More Flexible Product Set Filters

Retail advertisers are also gaining additional flexibility when defining product sets in Ads Manager.

The platform now supports combining multiple conditions on the same product field.

This allows advertisers to refine which products are eligible to appear within a particular ad group.

For businesses managing large product catalogues, more precise filtering can help organize product advertising around relevant inventory.

The change provides additional control over product selection without changing the underlying product catalogue.

6. What These Changes Mean for Advertisers

The updates affect three important areas of campaign management.

Bidding and Cost Management

Target CPA and Target CPC introduce average cost objectives while retaining automated bid management.

Advertisers can communicate their acquisition or click cost targets without manually setting individual auction bids.

Geographic Control

More granular location targeting allows retail advertisers to focus product feed campaigns on the regions and markets they serve.

Product Selection

More flexible product set filters allow advertisers to refine which products are included within ad groups.

Together, these changes give advertisers more control over campaign settings while leaving bid adjustments and delivery decisions to the platform's automated systems.

However, the introduction of additional controls does not establish that campaigns will automatically achieve lower costs or higher conversion volumes.

Actual performance will depend on campaign results.

7. Final Perspective

The changes to ChatGPT Ads bring more flexibility to campaign management, particularly for performance marketers and retail advertisers.

Target CPA and Target CPC allow advertisers to define average cost objectives, while Intelligent Bidding continues the existing automated optimization approach under a new name.

More precise geographic targeting and product set filters provide additional control over product feed advertising.

The retirement of Max Bid and Max CPC on 1 January 2027 is also an important change for advertisers using those options.

The main development is straightforward: advertisers have more ways to define their campaign objectives and product advertising requirements, while ChatGPT Ads continues to manage bidding and delivery automatically.

Google Ads Product Value Optimization: How Retailers Can Prioritize Products Through Value Adjustments

 

Aligning product values with profit margins, seasonal inventory and other commercial priorities to guide automated bidding.

Retailers sell hundreds or even thousands of products, but not every product is equally important to their business.

Some products generate higher profit margins. Others need additional sales because they are seasonal, overstocked or part of a specific promotion.

Until now, advertisers have often had to manage these differences through separate campaign structures or broader bidding strategies.

Google Ads Product Value Optimization gives retailers another option: adjust the conversion value assigned to specific products so automated bidding can take their commercial priorities into account.

The feature is available in beta for supported Performance Max and Shopping campaigns.

1. What Is Product Value Optimization?

Product Value Optimization allows retailers to tell Google Ads which products should carry greater value when campaigns optimize for conversions.

For example, a retailer might want Google Ads to place more emphasis on:

• Products with higher profit margins
• Seasonal products that need to sell within a limited period
• Overstocked products that need to be cleared
• Best-selling products that are commercially important

Advertisers can assign different value adjustments to individual products or groups of products based on attributes such as brands and categories.

Google Ads then uses these adjustments as additional signals for automated bidding.

Importantly, the feature does not change product prices or allow advertisers to set individual CPC bids for these products.

It changes how much value Google Ads assigns to a product conversion when optimizing campaigns.

2. How Does It Work? A Simple Example

Imagine an online retailer selling three products.

All three cost €100, but the retailer has different priorities.

Product	Retailer's Priority	Value Adjustment
Product A	Seasonal inventory	1.2×
Product B	Higher profit margin	1.5×
Product C	Excess inventory	1.8×

The retailer wants Google Ads to give more importance to Product C because it needs to reduce excess stock.

What Happens When Someone Purchases?

Suppose a customer purchases Product C for €100.

The retailer receives €100 in sales revenue.

However, because Product C has a 1.8× value adjustment, Google Ads can treat that conversion as worth €180 when optimizing its bidding.

The same principle applies to the other products.

 

Product	Customer Pays	Value Google Ads Uses for Optimization
Product A	€100	€120
Product B	€100	€150
Product C	€100	€180

 

Illustrative example assuming the original conversion value equals the product's selling price.

The customer still pays €100. The retailer still receives €100 in revenue. Only the value used by Google Ads for optimization changes.

This helps Google understand that the retailer considers certain product sales more valuable than others.

It does not guarantee more sales for those products.

3. How Does This Affect Google Ads Bidding?

This is where the feature becomes useful for performance marketers.

Google Ads automated bidding evaluates different opportunities to generate conversions based on the campaign's objectives and available signals.

When Product Value Optimization is enabled, the system can also consider the additional value assigned to selected products.

For example, if Product C has a higher value adjustment than Product A, Google Ads receives a stronger signal that a conversion involving Product C is more valuable to the retailer.

This can influence how automated bidding evaluates relevant advertising opportunities.

Does Google Automatically Increase the CPC?

Not necessarily.

A 1.8× product value adjustment does not mean Google increases the CPC bid by 80%.

The adjustment applies to the conversion value, not directly to the advertising bid.

Google Ads continues to calculate auction bids based on the campaign's bidding strategy and other signals.

In simple terms, the retailer tells Google which conversions matter more. Google Ads decides how to bid based on that information.

4. Where Can Retailers Benefit?

Product Value Optimization can support several practical retail objectives.

Higher-Margin Products

Consider two products selling for €100 each.

One generates €20 in profit, while the other generates €40.

Although both produce the same revenue, the second product contributes more profit.

A retailer could assign a higher conversion value to the second product to reflect its greater commercial importance.

Seasonal Inventory

A clothing retailer might have winter jackets that need to sell before the season ends.

Rather than treating these products exactly like the rest of its catalogue, the retailer can assign them higher conversion values.

This gives automated bidding an additional signal to prioritize relevant sales opportunities.

Excess Inventory

A retailer may have too much stock of a particular product.

Holding that inventory can increase storage costs and tie up working capital.

By assigning higher conversion values to those products, the retailer can signal that clearing the inventory is a priority.

Best-Selling Products

Some retailers may want to prioritize products with strong customer demand.

However, a bestseller is not always the most profitable product.

A higher value adjustment should reflect a genuine business objective, not simply the number of units already being sold.

5. What Changes for Performance Max and Shopping Campaigns?

One of the advantages of Product Value Optimization is that advertisers can adjust product priorities without necessarily creating separate campaigns.

For example, imagine a retailer selling clothing, footwear and accessories through Performance Max.

The retailer wants to give greater importance to a specific footwear category because it generates higher margins.

Instead of creating a separate campaign just to communicate that priority, the advertiser can apply a supported value adjustment to that category.

Google Ads can then use the adjusted conversion values when optimizing the existing campaign.

The same approach can support different product priorities across eligible Shopping campaigns.

This gives advertisers more flexibility to influence automated bidding without making campaign management unnecessarily complicated.

6. What Happens to Revenue and ROAS Reporting?

There is one important distinction advertisers need to understand.

Actual revenue and adjusted conversion value are not the same thing.

Consider a product that sells for €100.

The advertiser applies a 1.5× value adjustment.

Metric	Amount
Actual product revenue	€100
Value adjustment	1.5×
Adjusted conversion value	€150
Advertising cost	€25

 

The retailer earns €100 in sales revenue.

Google Ads uses €150 as the adjusted conversion value for optimization.

If ROAS is calculated using actual revenue:

Actual Revenue ROAS = €100 ÷ €25 = 4.0×

If ROAS is calculated using the adjusted conversion value:

Adjusted Value ROAS = €150 ÷ €25 = 6.0×

Both calculations describe the same purchase and advertising cost, but they answer different questions.

The first reflects actual revenue relative to advertising spend.

The second reflects the value assigned to the conversion for optimization.

Advertisers should therefore understand which conversion values are being used when evaluating campaign performance.

A higher adjusted ROAS does not automatically mean the business generated more revenue or profit.

7. Choosing the Right Product Value Adjustments

Product Value Optimization gives advertisers more flexibility, but the adjustments need to make commercial sense.

For example:

• Higher profit margins: Products contributing more profit may justify higher conversion values.
• Seasonal stock: Temporary adjustments can reflect the need to sell products before demand declines.
• Excess inventory: Higher values can communicate the importance of reducing stock.
• Best-selling products: Adjustments should depend on their commercial importance, not popularity alone.

The same multiplier should not automatically be applied to every product.

A retailer trying to improve profitability may prioritize different products from one focused on reducing excess inventory.

This is why product-level information from merchandising, finance and inventory teams becomes valuable when deciding which adjustments to apply.

8. What This Means for Retail & eCommerce Advertisers

Product Value Optimization provides an additional way to influence how Google's automated bidding evaluates product conversions.

For advertisers, the practical advantages include:

• More control over product priorities: Assign different values to selected products and categories.
• Better alignment with profitability: Give greater importance to products that contribute more profit.
• Support for inventory objectives: Prioritize seasonal and excess stock when needed.
• Simpler campaign management: Apply value adjustments without necessarily restructuring campaigns.
• More relevant bidding signals: Give Google's automation additional information about which conversions matter most.

The feature does not replace campaign strategy, conversion tracking or performance analysis.

It allows advertisers to communicate product-level commercial priorities more directly to Google's bidding system.

9. Final Perspective

Google Ads Product Value Optimization gives retailers a practical way to influence automated bidding based on the products they want to prioritize.

Two products can generate exactly the same revenue but deliver different commercial outcomes.

One might be more profitable. Another might need additional sales because of seasonal demand or excess inventory.

Product Value Optimization allows advertisers to reflect those differences through conversion value adjustments.

The customer pays the normal selling price, while Google Ads uses the adjusted conversion value to guide optimization.

The key benefit is simple: retailers can give Google Ads a clearer understanding of which product conversions matter most to their business, without changing product prices or directly controlling CPC bids.

 

Google App Connect: Bringing Web & App Advertising Performance Together

 

How connected customer journeys, conversion measurement and smarter bidding can improve advertising outcomes.

 

For businesses with both a website and a mobile app, getting customers from an advertisement to the right destination can make a real difference to conversion performance.

A customer might already have a retailer's app installed but still end up on its mobile website after clicking a Google Ad.

That can mean additional navigation, another login or extra steps before completing a purchase.

Google App Connect aims to address this by bringing web and app experiences, conversion measurement and campaign optimization closer together.

For performance marketers, the opportunity goes beyond improving the customer journey. It also means making better use of the conversions happening inside mobile apps.

1. What Is Google App Connect?

Google App Connect is a unified set of tools within Google Ads that helps advertisers connect their website campaigns with their mobile apps.

It brings together three important capabilities:

• Deep Linking: Directs customers from ads to relevant pages inside an installed mobile app.
• Conversion Measurement: Captures valuable actions such as purchases, registrations and subscriptions across web and app environments.
• Smart Bidding: Uses eligible in-app conversion data to help optimize advertising campaigns.

The objective is straightforward: make it easier for customers to complete their intended actions while giving advertisers a clearer understanding of campaign performance.

2. A Better Journey from Ad Click to Purchase

Consider a customer searching for a pair of running shoes.

They find a relevant Google Search ad from an online retailer and click on it.

Without App Deep Linking

The customer lands on the retailer's mobile website, even though the shopping app is already installed.

They might need to log in again, navigate through product pages or repeat steps they have already completed inside the app.

Every additional step creates another opportunity for the customer to leave without purchasing.

With App Connect

If the retailer has implemented the appropriate deep links, the same ad click can open the relevant product page directly inside the installed app.

The customer can continue shopping using familiar app features, saved account information and an existing shopping experience.

If the app is not installed, the customer can continue to the mobile website.

The advantage is not simply opening an app. It is removing unnecessary steps between customer interest and conversion.

3. Why This Matters for Conversion Performance

Mobile apps can offer a more convenient purchasing experience for returning customers.

Saved login details, stored delivery information and familiar checkout processes can make transactions easier to complete.

Google's internal data from April 2025 found that ad clicks landing in mobile apps delivered an average 2.8 times higher conversion rate than clicks landing on mobile websites.

This is an important finding, although it represents observed performance rather than a guaranteed improvement for every advertiser.

For retailers and eCommerce businesses, the commercial opportunity is clear.

If customers are already using the app, directing them to the relevant in-app experience could help convert more of the demand generated through existing advertising campaigns.

It is not necessarily about spending more to attract additional traffic.

It is about making better use of the traffic advertisers are already paying for.

4. Connecting Website and App Conversion Measurement

Improving the customer journey is only one part of App Connect.

The other important development is the ability to bring website and app conversion activity into a more connected measurement framework.

Consider an advertiser running Google Search and Performance Max campaigns.

A customer might click an advertisement, open the mobile app and complete a purchase there.

If the advertiser only measures website conversions, that valuable activity may not be properly reflected in campaign reporting or optimization.

App Connect helps advertisers capture relevant in-app actions and make them available within Google Ads.

These can include:

• Purchases: Completed transactions inside the app.
• Registrations: New customer accounts or sign-ups.
• Subscriptions: Customers starting a paid service.
• Other valuable actions: Events that contribute to business objectives.

By connecting app measurement through supported solutions such as Google Analytics for Firebase or an App Attribution Partner, advertisers can bring eligible conversion events into Google Ads.

This provides a more complete view of how advertising contributes to business results across both environments.

5. Better Conversion Signals for Smart Bidding

Accurate measurement becomes particularly valuable when it influences campaign optimization.

Google Ads Smart Bidding uses conversion signals to help determine how campaigns should bid for valuable customer actions.

If relevant app conversions are missing from the optimization setup, campaigns may not fully account for purchases or other valuable actions completed inside the app.

With App Connect, advertisers can import eligible in-app conversion events and designate appropriate actions as Primary conversion goals.

This allows supported campaigns to optimize using valuable conversion activity from both websites and mobile apps.

For example, an online retailer might generate purchases through its website and installed shopping app.

Instead of evaluating only website purchases, its bidding strategy can also account for eligible app purchases.

The commercial benefit is better alignment between campaign optimization and the customer actions that actually generate business value.

Of course, selecting the right conversion goals remains important. Not every app interaction should carry the same value as a completed purchase.

6. What's New with App Connect in 2026?

Google is expanding the earlier Web to App Connect approach into a more unified App Connect experience.

The focus is on making web and app advertising work together more effectively, rather than treating them as separate environments.

One notable development is the introduction of AI-assisted implementation workflows.

These workflows are designed to help advertisers identify opportunities and simplify technical processes involving:

• Deep linking configuration
• Conversion tracking
• Smart Bidding setup

The aim is to reduce the implementation effort required to connect campaigns with mobile app experiences.

For performance marketing teams, this could make it easier to identify configuration gaps and improve the connection between advertising, measurement and app activity.

7. Understanding Performance Across Web and App

App Connect also brings useful performance information into a central Google Ads interface.

Rather than looking only at overall campaign results, advertisers can examine how web and app experiences contribute to conversions.

Key Performance Metrics

Metric	What It Helps Advertisers Understand
In-App Conversion Rate	How frequently ad clicks landing in the app lead to conversions.
Web Conversion Rate	How frequently ad clicks landing on the website lead to conversions.
Deep Link Coverage	How much mobile advertising spend is associated with deep-linked app journeys.
App Bidding Coverage	How much mobile advertising spend is associated with campaigns bidding on in-app conversions.
Missed Conversion Opportunities	Estimated additional in-app conversions potentially available through improved deep linking.

 

These metrics can help advertisers identify where customer journeys or measurement setups need attention.

For example, a campaign might generate substantial mobile traffic but have limited deep link coverage.

That could indicate an opportunity to direct more eligible app users into relevant in-app experiences.

Similarly, campaigns generating valuable app conversions may benefit from reviewing whether those actions are included appropriately in bidding.

The important point is to connect these metrics with actual business outcomes rather than treating higher app traffic as the objective.

8. The Commercial Impact for Retailers and Advertisers

For businesses operating both websites and mobile apps, App Connect brings several areas of advertising performance closer together.

Customer Experience

Reduce unnecessary navigation and help customers reach relevant products or services more directly.

Conversion Performance

Make better use of existing advertising traffic by improving the journey from ad click to purchase.

Measurement

Understand valuable customer actions across websites and mobile apps instead of evaluating each environment in isolation.

Campaign Optimization

Use relevant conversion data to help Smart Bidding optimize towards meaningful business outcomes.

Advertising Efficiency

Identify opportunities to improve conversion performance without relying exclusively on additional media investment.

These benefits are closely connected.

A better customer journey can support conversion performance. More complete measurement can improve optimization signals. Better optimization can help advertisers allocate their budgets more effectively.

The real value comes from how these elements work together.

9. Final Perspective

Google App Connect reflects an important shift in how advertisers can manage performance across websites and mobile apps.

Customers do not necessarily think about whether they are purchasing through a website or an app. They simply want to find what they need and complete the transaction conveniently.

Advertising campaigns should support that experience.

For performance marketers, App Connect offers an opportunity to improve customer journeys, capture more complete conversion data and make better use of Smart Bidding.

The 2026 developments also indicate Google's direction towards simplifying the technical work required to connect these environments.

Ultimately, the objective is not to drive more people into an app for the sake of app traffic. It is to make the journey from advertising to conversion more efficient, measurable and commercially valuable.

 

Google Direct Offers: A New Opportunity for Retail & eCommerce Advertising

 

How AI-powered offers could influence purchase decisions and advertising performance.

Google is bringing promotional offers closer to the moment when shoppers are deciding what to buy.

With Google Direct Offers, retailers can present relevant discounts and promotional incentives directly within AI-powered Search experiences, including AI Mode.

This is an interesting development for retail, eCommerce and D2C advertisers because it connects three important elements of online shopping:

• Purchase intent
• Promotional value
• Conversion opportunities

The bigger opportunity is not simply showing more discounts. It is making the right offer available when it could genuinely influence a purchasing decision.

1. What's Changing with Google Direct Offers?

Imagine someone searching for a new pair of running shoes.

They already know what they need, have compared a few options and are considering which retailer to purchase from.

During that shopping journey, Google could surface a relevant product alongside an exclusive promotional offer, such as 15% off.

Instead of searching separately for discount codes or comparing multiple websites for a better deal, the shopper can discover the incentive while exploring products.

Google is also expanding Direct Offers beyond individual discounts to support more flexible promotions, including:

• Product bundles
• Giveaways
• Local coupons

AI can help match these offers to relevant shopping searches, while participating advertisers define eligible products and promotional limits.

For retailers, this creates another opportunity to influence the purchase decision before the shopper leaves the search experience.

2. Why This Matters for Retailers

Retailers already use promotional campaigns to drive sales.

Seasonal discounts, limited-time offers, free shipping and product bundles are familiar tools across eCommerce.

The difference with Direct Offers is when and where those incentives can appear.

A retailer might normally promote a discount through an email campaign, a website banner or a dedicated landing page.

With Direct Offers, promotional incentives can become part of the AI-assisted product discovery experience itself.

A Simple Retail Example

Consider two retailers selling a similar product at €150.

• Retailer A: Presents the product at its standard price of €150.
• Retailer B: Presents a relevant offer that reduces the effective purchase price to €135.

If product quality, delivery conditions and customer trust are comparable, that additional incentive could influence which retailer wins the sale.

Of course, price is not the only factor. Product availability, delivery speed, returns and brand preference still matter.

But a relevant offer at the right moment can strengthen a retailer's position when shoppers are comparing alternatives.

3. The Commercial Opportunity Goes Beyond Discounts

For performance marketers, the opportunity is not necessarily to offer bigger discounts.

It is to make promotional spending more selective.

A retailer might have hundreds or thousands of products, but not every product requires the same incentive.

Some products already convert well at full price. Others face stronger competition or need an additional reason for customers to purchase.

Direct Offers could help retailers use different promotional incentives depending on product eligibility and shopping context.

Where Different Promotional Approaches Make Sense

• High-demand products: Protect margins where customers are already willing to pay the standard price.
• Competitive product categories: Use relevant incentives to strengthen the offer against competing retailers.
• Complementary products: Explore bundles that increase the value of the overall purchase.
• Selected inventory: Support sales of products where promotional activity makes commercial sense.

This creates an opportunity to connect promotional decisions more closely with product-level economics rather than applying the same discount across an entire catalogue.

4. More Conversions Do Not Automatically Mean More Profit

This is where performance measurement becomes particularly important.

A Simple Profitability Example

Imagine an eCommerce retailer selling a product for €100.

Before advertising costs, the product generates €40 in contribution margin.

The retailer then introduces a 15% discount through a promotional offer.

 

Metric	Before Offer	After Offer
Selling price	€100	€85
Contribution margin	€40	€25
Margin reduction		€15

 

Assuming other variable costs remain unchanged.

The promotion might improve conversion rates, but each discounted sale now contributes €15 less.

That does not automatically make the promotion a poor decision.

If the incentive attracts additional customers who would otherwise have purchased elsewhere, it could still generate incremental profit.

However, if the retailer gives discounts to customers who would have purchased anyway, the promotion simply reduces profitability.

The important question is not just how many conversions an offer generates, but how much additional commercial value it creates.

For advertisers, that means looking beyond conversion rates and reported revenue to understand:

• Contribution margins
• Incremental sales
• Customer value

5. What This Means for Paid Media Strategy

Direct Offers also highlights how promotional planning and paid media execution are becoming more closely connected.

Traditionally, advertisers might manage promotional calendars, advertising campaigns and product-level profitability through separate processes.

AI-powered shopping experiences create a stronger reason to bring those decisions together.

Retailers will need a clear understanding of:

• Which products can support discounts
• How much promotional value they can offer
• What commercial results justify those incentives

Google is also introducing Direct Offers management within Google Ads for eligible AI Max and Performance Max advertisers, alongside existing merchant workflows.

For performance marketing teams, this makes coordination between media budgets, promotional incentives and product economics increasingly relevant.

It also raises an important measurement consideration:

A campaign can report stronger advertising performance while the underlying promotional cost reduces the profitability of those sales.

Both sides of the equation matter.

6. What About Germany and Europe?

For retailers operating across Germany and wider European markets, Direct Offers is a development worth watching.

Availability remains limited, and the announced capabilities should not be interpreted as a complete rollout across European markets.

Nevertheless, the commercial implications are relevant.

European retailers already operate in competitive environments where several factors can significantly influence purchasing decisions:

• Pricing
• Delivery expectations
• Promotional activity
• Customer acquisition costs

As AI-assisted shopping experiences develop, the ability to present relevant commercial incentives during product discovery could become another important consideration in retail advertising.

7. Final Perspective

Google Direct Offers represents more than another promotional format.

It points towards a shopping experience where product discovery, promotional incentives and purchase decisions become more closely connected.

For retailers, the opportunity is to use promotions more intelligently, not simply more frequently.

For performance marketers, the priority remains familiar:

• Attract valuable customers
• Convert demand efficiently
• Protect profitability

The strongest commercial outcome will not come from offering the biggest discount. It will come from understanding when an incentive genuinely helps win an additional, profitable sale.