Discovery is evolving.
For more than two decades, e-commerce growth has been shaped by search engines, social feeds, and marketplaces. Shoppers typed keywords, compared results, clicked through links, and navigated multiple pages before making a decision.
Now, consumers are no longer just searching. They’re asking. And they’re asking inside AI environments like ChatGPT. With Shop Campaigns now including ChatGPT as a paid acquisition channel, brands are stepping into a new layer of commerce: one that is conversational, contextual, and potentially higher intent than traditional search.
This is the early stage of AI-native commerce.
The Shift from Search to Conversation
Traditional Search Behaviour
On search engines, shoppers typically:
- Enter short keyword-based queries
- Filter manually
- Scan multiple results
- Compare listings across tabs
- Return several times before purchasing
The model is intent-driven but fragmented.
Conversational AI Behaviour
Inside AI platforms, shoppers behave differently:
- They ask full questions
- They dynamically refine requests
- They seek recommendations, not just results
- They provide context (budget, preferences, use case)
For example:
- Instead of typing: “Best running shoes under $150”
- A shopper might ask: “I run 20 miles a week and need supportive shoes under $150 that won’t hurt my knees. What do you recommend?”
That level of context changes product discovery.
And now, Shop Campaigns allow brands to appear within that moment.
Understanding Shop Campaigns
As Shop Campaigns expand into AI-driven environments like ChatGPT, it’s important to understand the foundation of the program itself.
Shop Campaigns is a customer acquisition program designed to help brands acquire and convert customers at a set cost. Unlike traditional advertising models that charge per click or impression, Shop Campaigns operates on a performance-based structure focused on conversions.
At its core, each campaign includes a built-in incentive:
- Special pricing from select brands, or
- The opportunity for buyers to earn extra Shop Cash
These incentives are designed to improve conversion rates while keeping acquisition costs predictable.
How Shop Campaigns Work
When you run Shop Campaigns, your ads can appear across:
- The Shop app
- The Shop website
- Shopify Product Network
Other distribution platforms (now including AI-native environments like ChatGPT)
The key advantage:
- You pay acquisition fees only when a customer converts on the Shop app or Shop website.
- There are no upfront impression costs and no per-click charges. The model is conversion-driven and performance-aligned.
Campaign Targeting Capabilities
Shop Campaigns allow brands to create highly targeted acquisition strategies.
You can target:
- New customers for net-new growth
- Lapsed customers to reactivate past buyers
Geographic availability currently includes:
- United States
- Canada
This makes the program especially useful for brands looking to grow efficiently in North American markets while maintaining CAC control.
What Makes Shop Campaigns Different
Compared to traditional paid channels, Shop Campaigns offer:
1. Predictable Customer Acquisition Cost
You set your target cost and pay only when a purchase happens.
2. Built-In Incentives
Campaigns include structured offers that increase purchase motivation.
3. Multi-Channel Distribution
Ads run across multiple surfaces, including AI-powered discovery.
4. Conversion-Based Pricing Model
No wasted spend on impressions that don’t convert.
With the addition of ChatGPT as a paid acquisition channel, this performance model now extends into conversational commerce environments.
Important Update: Customer Notification Templates
(As of March 31, 2025)
As of March 31, 2025, some customer notification templates have been updated to display:
- Shop Campaigns offers
- Shop Cash in the transaction record
Brands should review which notification templates are impacted and ensure they properly reflect:
- Campaign offers
- Earned Shop Cash
- Transaction-level incentives
If necessary, you can edit your customer notification templates to display Shop Campaigns offers and Shop Cash within the transaction record to maintain transparency and clarity for customers.
For brands exploring or optimising Shop Campaigns, key areas to review include:
- Shop Campaigns eligibility
- Understanding Shop Campaigns
- Creating and managing Shop Campaigns
- Paying for Shop Campaigns
- Editing customer notification templates to display Shop Campaigns offers and Shop Cash in the transaction record
Each of these components plays a role in ensuring your campaigns run efficiently, remain compliant, and deliver predictable growth.
What This Means For Brands
Shop Campaigns integrating with ChatGPT introduce a new acquisition layer with several defining characteristics:
1. Product Visibility Inside AI Conversations
- Your products can surface when shoppers are actively looking for items like yours within ChatGPT.
- This is discovery embedded in dialogue, not just displayed on a results page.
2. Conversion Happens on Shop
- Buyers click through and complete their purchase on Shop.
- The AI experience drives discovery; Shop closes the transaction.
3. Pay for Performance
- You’re charged your set customer acquisition cost (CAC) only when a purchase occurs.
- This preserves performance efficiency.
4. No Extra Setup Required
- Brands already running Shop Campaigns don’t need additional technical configuration.
- It’s an expansion of distribution, not a new system to build.
Same pricing.
New channel.
High-intent environment.
Why This Matters: AI as a High-Intent Environment
The most compelling aspect of this channel is intent quality.
When shoppers ask AI for recommendations, they typically:
- Have already identified a need
- Are seeking validation or refinement
- Want fast decision support
- Prefer fewer steps to purchase
This is closer to “advisor-mode” commerce than traditional browsing.
AI compresses the decision funnel.
Instead of:
Awareness → Research → Comparison → Validation → Purchase
It becomes:
Need → Conversation → Recommendation → Purchase
That compression could translate to:
- Higher conversion rates
- Shorter time-to-purchase
- Fewer abandoned sessions
The real question isn’t whether this channel will generate traffic.
It’s whether it will generate better traffic.
Will AI Outperform Traditional Search?
This is the strategic question many brands are asking.
People don’t search the same way when:
Typing into a search engine vs. talking to an AI assistant
Search engines are optimised for keyword retrieval.
AI assistants are optimised for contextual understanding.
Conversion rate comparisons will be critical to watch.
While search likely maintains higher scale, AI may deliver:
- Higher purchase intent
- More qualified shoppers
- Lower wasted impressions
In performance marketing terms, AI may trade volume for efficiency.
The Early Stage of AI-Native Commerce
This integration signals something bigger than distribution expansion.
Commerce is becoming AI-native.
That means:
- Discovery happens inside conversation
- Products appear contextually, not positionally
- Recommendations feel advisory, not promotional
- The path from question to checkout is compressed
Just as mobile-first reshaped ecommerce design a decade ago, AI-native experiences will reshape:
- Product merchandising
- Attribution modeling
- Creative strategy
- Optimisation frameworks
Brands that test early will gain signal before the channel becomes saturated.
Strategic Considerations for Growth-Focused Brands
If you’re focused on efficient growth, this channel deserves structured experimentation.
1. Measure Conversion Rate vs. Search
Don’t just track volume. Compare:
- Conversion rate
- Average order value
- Time to purchase
- Repeat customer rate
2. Evaluate Incrementality
Is AI:
- Replacing search traffic?
- Or unlocking new customers who prefer conversational discovery?
Incrementality testing will be key.
3. Optimise for Contextual Fit
In AI environments, relevance matters more than broad targeting.
Products that:
- Solve specific use cases
- Have strong differentiation
- Benefit from the explanation
May perform disproportionately well.
4. Monitor Customer Quality
Are AI-driven customers:
- Returning?
- Spending more?
- More loyal?
High-intent environments often attract higher-lifetime-value buyers.
The Bigger Trend: From Omnichannel to AI-Native
For years, the e-commerce strategy centered on omnichannel distribution.
Website. Marketplace. Social. Search. Email.
Now, a new layer is emerging.
AI interfaces are becoming:
- Discovery engines
- Research assistants
- Product advisors
- Decision accelerators
This isn’t about replacing traditional channels. It’s about adding a new behavioural layer where consumers increasingly spend time.
Commerce is no longer just omnichannel.
It’s becoming AI-native.
Why This Matters in the AI-Native Era
As commerce expands into AI-native experiences, programs like Shop Campaigns become even more powerful.
When discovery happens conversationally inside ChatGPT, and conversion happens on Shop under a cost-controlled structure, brands benefit from:
- High-intent traffic
- Incentivised purchase behaviour
- Pay-for-performance economics
- Expanded distribution without operational complexity
The shift isn’t just about adding another channel.
It’s about integrating performance marketing into environments where consumers increasingly make decisions.
Commerce is evolving. And Shop Campaigns, now extending into AI, sit at the intersection of conversation, intent, and conversion.
Final Thoughts
The integration of ChatGPT into Shop Campaigns marks the beginning of a new acquisition paradigm.
Will it outperform traditional search?
Too early to declare.
But one thing is clear:
- Shoppers are changing how they discover products.
- They’re asking instead of searching.
For brands focused on performance and efficient growth, this isn’t a channel to ignore.
It’s a channel to test early, intentionally, and with clear measurement.
Because when discovery becomes conversational, commerce becomes contextual.
And contextual commerce may prove to be the highest-intent channel yet.
Need a fresh perspective? Let’s talk.
At 360 OM, we specialise in helping businesses take their marketing efforts to the next level. Our team stays on top of industry trends, uses data-informed decisions to maximise your ROI, and provides full transparency through comprehensive reports.
.png)
