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Amazon Ads adds DVA+ chat feature to its AI‑powered Ads Agent platform

Amazon Ads announced DVA+, an AI‑driven chat and buying experience that expands the Amazon Ads Agent platform to unify sponsored, display, video and audio campaigns.

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Source-page capture accompanying Amazon Ads adds DVA+ chat feature to its AI‑powered Ads Agent platform
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An input variable used by a model to make predictions.
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What happened

Amazon Ads introduced DVA+, a new chat‑enabled that streamlines campaign creation and optimization across sponsored, display, video and audio ads within the Amazon Ads Agent platform.

In a Sep 30, 2026 briefing at unBoxed 2026, Amazon Ads unveiled DVA+, an enhancement to its Amazon Ads Agent platform. The adds a conversational chat interface that guides advertisers through campaign setup, from selecting goals—such as sales, traffic or awareness—to uploading creative assets and setting budgets. Once launched, Amazon’s AI takes over the heavy lifting, automatically placing ads across Amazon’s own properties and the open internet.

DVA+ builds on the existing Brand+ and Performance+ engines. Brand+ uses AI to identify audiences likely to engage with an ad, while Performance+ optimizes for conversion actions like product page visits or purchases. The new chat layer allows users to ask questions, receive real‑time recommendations, and adjust targeting or bidding strategies without leaving the interface.

Amazon says the will be available to advertisers in the coming months, though exact pricing and access tiers were not disclosed. The rollout will initially target existing Amazon Ads Agent customers, with a broader release planned for later 2026.

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Why it matters

The addition of DVA+ marks a significant step toward fully AI‑assisted advertising, giving marketers a faster, data‑rich way to launch and manage campaigns while retaining control over advanced settings. By leveraging Amazon’s vast shopping, browsing and streaming signals, the promises more precise audience targeting and real‑time optimization, potentially raising ROI for advertisers of all sizes.

The advertising industry has long grappled with fragmented tools for different media types. By unifying sponsored, display, video and audio ads under a single AI‑first platform, Amazon Ads reduces the operational overhead for marketers, especially smaller agencies that lack dedicated programmatic teams.

AI‑driven optimization can improve ad relevance and reduce wasted spend, a claim supported by Amazon’s reference to “trillions of shopping, browsing and streaming signals.” If the AI delivers on that promise, advertisers could see higher conversion rates and lower cost‑per‑action metrics.

The chat interface also reflects a broader trend toward conversational AI in enterprise software, making complex optimization tasks more accessible to non‑technical users. This could accelerate adoption of AI‑assisted advertising across a wider segment of the market.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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What to watch next

Watch for the rollout timeline, pricing details, and adoption rates among large agencies and small brands, as well as any performance data that emerges from early adopters.

Pricing and tiered access: Amazon has not disclosed whether DVA+ will be an add‑on subscription, a usage‑based fee, or bundled with existing Amazon Ads Agent plans.

Performance benchmarks: Early case studies or third‑party evaluations will be needed to verify the claimed efficiency gains and ROI improvements.

Competitive response: Rival ad platforms may introduce similar AI‑chat features, potentially sparking a wave of conversational tools in the ad tech space.

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