Amazon Branded Conversations: What the January 2027 Launch Means for PPC and Listings

Amazon used unBoxed 2026 to announce two changes that matter more than most ad-product updates:

1. Branded Conversations — a new conversational ad format inside Alexa for Shopping, launching in the United States in January 2027.
2. Review Requests — a new way to invite verified buyers to leave a review, opening in US open beta in late October 2026.[1]

The headlines will focus on the AI shopping angle. The operational story is more useful: Amazon is asking brands to supply structured product expertise, and it is giving brands another review-generation surface. Both require work before the launch date.

What Amazon actually announced

Branded Conversations

Branded Conversations are the next evolution of Sponsored Brands prompts. Previously, a shopper who tapped a prompt opened a conversation with Alexa for Shopping that used Amazon's first-party signals from the brand's detail pages, Brand Store and campaign data.

Branded Conversations adds brand-provided expertise. Amazon's example is a skincare brand explaining which cleanser is best for oily skin, which is best for sensitive skin, and which is best for a beginner building a first routine. The brand can also explain complementary products, such as toners or moisturisers.[1]

The format is clearly marked as Sponsored inside Alexa for Shopping. It launches in the US in January 2027.

Amazon also shared an early signal: in its testing, nearly 20% of shoppers who interact with a Sponsored Brands prompt continue the conversation about that brand.[1] That is an Amazon-reported early test result, not a guarantee for your category or your creative.

Review Requests

Review Requests invites recently verified buyers to leave a review from Amazon's busiest pages, including the homepage, with a single tap. The buyer can submit a rating and optionally add a written review with video or images.

Amazon says products using Review Requests in early testing received around three times as many ratings and reviews each week.[1] The open beta is for the United States and is available in Amazon Ads Agent and the Amazon Ads Unified API. Sellers and vendors need an advertising console account in good standing with no active policy violations. Products are eligible when they have fewer than 1,000 total ratings and reviews, and campaigns pause automatically when a product reaches that threshold.[2]

Amazon's 29 September announcement said Review Requests would launch in November 2026. A later Amazon Ads launch note lists late October 2026, so treat the date as a target window rather than a locked day.

This is not a review incentive. It is an Amazon-owned prompt to verified buyers. Sellers cannot buy or manipulate the reviews, and they should not try.

Why this is more than an ads update

Most Amazon ad changes are about placement, bidding or targeting. This one touches three systems at once:

• Product data — the brand has to provide expertise in a form Amazon can use.
• Creative — the prompt and conversation need to represent the brand accurately.
• Reviews — review velocity affects trust, conversion and the questions shoppers ask.

If your product data is thin, your listing claims are vague and your review operation is passive, a new conversation surface will not fix the underlying problem. It will expose it.

The PPC implications

1. Prompts become conversation entry points

A Sponsored Brands prompt is not just a headline. It is a doorway into a conversation. The shopper's first question may be broad: "Which one is right for dry skin?" or "What works with this?" The brand's response has to be useful enough to keep the conversation going.

That changes creative testing. You are not only testing a headline and a click. You are testing:

• The question the prompt invites
• The clarity of the first answer
• Whether the answer leads to a product or a dead end
• Whether the brand sounds like a specialist or a billboard

2. Keyword targeting still matters

Branded Conversations sit inside the Sponsored Brands family. The fundamentals do not disappear:

• Brand defense
• Category terms
• Competitor conquesting, where allowed
• New-to-brand audiences
• Seasonal demand
• Budget pacing

But the measurement expands. A click is no longer the only meaningful action. If Amazon exposes conversation starts, cost per conversation start and conversation-to-detail-page rate, those become the metrics to watch. If it does not, use the closest available proxies and say so in your reporting.

3. The landing experience has to match the conversation

If the prompt says "find the right moisturiser for sensitive skin," the destination should continue that conversation. A generic brand store homepage is a disconnect.

Audit:

• Does the Brand Store have a clear path by need, not just by product?
• Do the detail pages answer the questions the prompt raises?
• Are comparison charts accurate?
• Do the images show the product in the use case?
• Are the claims substantiated?

4. Budget for learning, not just scale

A new format needs a learning budget. Do not shift your entire Sponsored Brands budget into Branded Conversations on day one. Run a controlled test:

• One or two hero products
• One or two need states
• A clear control group
• A defined test window
• A pre-agreed success metric

5. Keep DSP separate

Branded Conversations are a sponsored conversational ad inside Alexa for Shopping. They are not the same as Amazon DSP, which is programmatic display and video across Amazon properties and beyond. Keep the budgets, audiences and measurement separate. If you want the programmatic layer, see Amazon DSP advertising.

The listing implications

1. Build a product knowledge base, not just a bullet list

Amazon's skincare example is a clue. The brand is not just saying "hydrating." It is explaining:

• Which product fits which skin type
• Which products work together
• Which product is right for a beginner
• What the difference is between products

That information has to exist somewhere before it can be used in a conversation. Build a structured knowledge base for each hero product:

| Field | Example | |---|---| | Product name | Clearly matched to the ASIN | | Primary use case | What the shopper is trying to do | | Audience | Who it is for, and who it is not for | | Differentiators | What makes it different, with substantiation | | Compatible products | What it works with | | Comparison set | Which sibling products it is often confused with | | Ingredients/materials/specs | The facts a shopper needs | | Claims | Approved claims and the evidence behind them | | FAQs | The questions support and reviews keep raising | | Restrictions | What the product should not be used for |

This is also useful for your own support team, your A+ content and your Brand Store. It is not a one-off copy task.

2. Make the catalog easy to understand

Conversational systems need clean inputs. Audit:

• Titles that describe the product, not a keyword dump
• Bullets that answer real questions
• A+ content that explains the range
• Comparison charts that are accurate
• Variation relationships that make sense
• Backend attributes that are complete
• Images that show scale, texture, compatibility and use

If the catalog is inconsistent, the conversation will be inconsistent too.

3. Put the range in context

A shopper asking "which one?" needs the brand to explain the range. That is hard if every detail page is written in isolation.

Create a range map:

• Entry product
• Core product
• Premium product
• Complementary product
• Product for a specific need
• Product to avoid for a specific need

Then make sure the detail pages, A+ content, Brand Store and prompt creative tell the same story.

4. Do not overclaim

Conversational ads can make claims feel more personal. That increases the compliance risk, not decreases it.

• Do not imply medical outcomes unless the product is approved for them and the claim is substantiated.
• Do not use "best" without a defensible basis.
• Do not invent ingredients, certifications or clinical results.
• Do not let a generative system improvise claims from a blog post.
• Keep a claims library with approved language and evidence.

The review implications

Review Requests makes it easier to invite verified buyers to review through a legitimate Amazon surface. It does not make review quality irrelevant.

What to fix before the open beta

• Post-purchase follow-up — make sure the product experience matches the promise.
• Insert cards and packaging — follow Amazon's policies; do not ask for positive reviews or offer incentives.
• Support response — respond to negative reviews and product questions with useful information.
• Review analysis — tag reviews by theme: sizing, instructions, compatibility, durability, scent, ease of use.
• Product fixes — route recurring defects to the product team, not just the copy team.
• Review monitoring — watch for policy violations, fake reviews and competitor manipulation.

What not to do

• Do not buy reviews.
• Do not offer discounts, gift cards or free products in exchange for reviews.
• Do not ask only happy customers.
• Do not write reviews on behalf of buyers.
• Do not use a review request to make a claim you cannot support.

Amazon's own review policies apply. A new ad surface does not create an exception.

How to measure Branded Conversations

Start with a measurement plan before the launch. Do not wait for Amazon to define every metric for you.

| Question | Metric | Notes | |---|---|---| | Are shoppers engaging? | Impressions, clicks, conversation starts (if available) | Conversation starts may not be exposed at launch | | Is the conversation efficient? | Cost per conversation start or cost per detail-page view | Use the closest available proxy | | Are we reaching new buyers? | New-to-brand percentage | Compare to existing Sponsored Brands campaigns | | Is the conversation leading to sales? | Conversion rate, units, sales | Use a consistent attribution window | | Is it helping the brand? | Branded search lift, Brand Store sessions | Compare test vs control | | Is the content working? | Prompt-level engagement, drop-off | Test one variable at a time | | Are reviews improving? | Review velocity, average rating, review themes | Separate Review Requests from organic changes |

Do not report a "conversation start" as a sale. Do not compare a new format to an old one without a control. Do not claim a lift from a test that had no baseline.

A 30/60/90 plan

First 30 days (before January 2027)

1. Pick two hero products and two need states.
2. Build the product knowledge base for those products.
3. Audit the detail pages, A+ content, Brand Store and comparison charts.
4. Write three prompt concepts per need state.
5. Define the claims library and approval process.
6. Set up the measurement plan and a control group.
7. Review Amazon's current ad policies and review policies.

Days 31–60

1. Run a small Branded Conversations test if the format is available to your account.
2. Test one variable at a time: question, first answer, destination, creative.
3. Review search-term and prompt-level data weekly.
4. Route review themes to support and product teams.
5. Fix the top three listing gaps the test exposes.
6. Check whether Review Requests is available and eligible for your products.

Days 61–90

1. Decide whether to scale, hold or stop.
2. Document what "good" looks like: cost per conversation, conversion, new-to-brand.
3. Expand to the next product set only if the unit economics work.
4. Update the Brand Store and A+ content with the winning explanations.
5. Review claims and compliance again before scaling.

The strategic point

Amazon is moving from keyword matching toward assisted product discovery. Keywords still matter. Listings still matter. Reviews still matter. What changes is that the brand has to explain its products in a structured, conversational way, at the moment a shopper asks.

That is good news for brands with real product expertise and clean operations. It is bad news for brands that rely on keyword-stuffed titles and generic claims.

If you want help preparing the PPC and listing side together, our Amazon PPC practice can build the test plan, and our listing optimization team can fix the product data and creative that the conversation depends on.

Sources

1. Amazon Ads, "Amazon Ads brings brand expertise into AI shopping conversations through Branded Conversations," 29 September 2026
2. Amazon Ads, "Accelerate authentic reviews with Review Requests," 29 September 2026
3. Amazon Ads, "Sponsored Brands."
4. Amazon Seller Central, "Customer product reviews policies."
5. Amazon Ads, "Amazon DSP."

Sources checked 24 October 2026. Amazon's launch dates, eligibility and ad products can change. Confirm availability in your account and category before planning spend.