Introducing Pacvue Agent

An AI-powered super agent that moves you from analysis to action in one workflow, so your team can act faster while staying in control.

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See how Pacvue Agent
turns signals into outcomes.

AI that analyzes performance, answers questions, and drives action

See what changed and what to do next

Get a clear view of what’s driving performance shifts across campaigns, keywords, and audiences, and where to focus next, so you can act quickly without digging through reports or switching tools. Pacvue Agent explains the why behind each change and guides you to the most relevant next steps.

Know exactly how to hit your targets

Identify the highest-impact actions across bids, budgets, and campaign status, prioritized against your goals, so you can execute quickly with confidence. Each recommendation includes expected impact and tradeoffs, giving you a clear picture of exactly what you’re optimizing for.

Focus on what matters most

Spot missed opportunities across spend, timing, and demand, so you can shift focus in real time and maximize performance when it counts. Pacvue Agent continuously monitors for gaps, making sure opportunities don’t slip through while your team is focused elsewhere.

Use Pacvue Agent directly in Slack

Pacvue Agent works within the Pacvue platform and in Slack, so your team gets the same trusted intelligence in both places. Ask questions, get performance diagnostics, and initiate next steps right where decisions are already happening. This means less context switching and faster alignment when performance shifts.

Pacvue powers growth for brands and agencies across 100+ retailers and partners

Where intelligence gets to work.

Translating performance into a clear stakeholder story is time-consuming, repetitive, and the “so what” often gets lost.

“Generate a visual performance report for the last 14 days.”

“Create a summary report comparing last week to the previous week.”

“Build a customized report showing campaign results from the past two weeks.”

Teams spot performance shifts but can’t quickly tell what’s signal, what’s noise, and what’s driving the change.

“What are the key performance trends over the last 14 days?”

“Which campaigns performed best during the last week?”

“Analyze performance from the last two weeks and highlight key insights.”

Teams struggle to identify the highest-impact levers and recommendations often vary by analyst or lack connection to actual goals.

“Recommend optimizations to improve ROAS for Campaign X.”

“Which campaigns should I increase, decrease, or hold budget based on last week?”

“What can I do to reach our target ACOS of 20%?”

Execution is slow and inconsistent when changes require coordination, approvals, and confidence that updates stay within brand guardrails.

“Pause low-performing campaigns based on last week’s performance.”

“Increase budgets for top-performing campaigns from the last 14 days.”

“Reactivate paused campaigns to prepare for next week’s promotions.”

Getting the most out of a powerful operating system like Pacvue takes time, especially when you’re learning new workflows or features.

Writing AMC-ready SQL is a specialized skill that becomes a bottleneck and small errors can break queries or produce misleading results.

“Create a query for a churn analysis based on last month’s purchasers.”

“Create a query for a CLTV analysis, including spend, orders, NTB orders, sales, and NTB sales.”

“Create a query for an NTB trend analysis, including CLTV, CAC, RPR, and ROAS.”

Translating targeting intent into activation-ready audiences requires precise logic and clean definitions, and most teams lose time validating edge cases.

“Create an audience based on customers who searched keywords but didn’t purchase.”

“Create an audience based on customers who added products to their cart but didn’t purchase.”

“Create an audience based on customers who were new to the brand but didn’t purchase again.”

AMC reports produce rich outputs, but interpreting what’s significant and connecting findings to actions is often the hardest part.

Trained on your data

Embedded in Pacvue’s OS

Designed to drive outcomes

Autonomous where it matters. Control where it counts.

Pacvue Agent reduces the hidden tax of manual analysis and fragmented workflows, so your team can focus on what actually drives measurable outcomes.

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Conversational Intelligence

Ask questions in plain language and get clear explanations of what changed and why, freeing your team to spend less time interpreting and more time improving outcomes.

Proprietary AI Models

Machine learning built specifically for the complexity of commerce media to ensure recommendations are more precise and grounded in real signals.

Approval-Based Execution

Every action goes through your guardrails, so your team can move fast and still account for every change.

Stakeholder-Ready Reporting

Visual reports with structured narratives that align your team, leadership, and clients around measurable outcomes.

What is Pacvue Agent?

Pacvue Agent is a conversational AI experience built into Pacvue’s Commerce Media Operating System. It helps retail media teams understand what changed in their performance, prioritize the highest-impact actions, and execute through governed workflows with built-in approvals. It includes specialized skills for data analysis, recommendations, report building, guided actions, AMC query building, audience creation, and report analysis.

How is Pacvue Agent different from other AI tools?

Most AI tools in commerce media stop at surface-level insights or run as black-box automation. Pacvue Agent connects intelligence to governed execution and outcome measurement in one workflow. It’s powered by proprietary machine learning models built specifically for the complexity of commerce media, so recommendations are grounded in the signals that actually drive retail media performance.

What data does Pacvue Agent use?

Pacvue Agent is powered by Pacvue’s connected commerce data foundation, which unifies signals across campaigns, audiences, platforms, and outcomes. Because commerce signals and media signals often live in separate places, disconnected data leads to slow diagnosis and incomplete recommendations. Pacvue Agent solves this by grounding every answer and recommendation in complete, connected signals from across your commerce ecosystem.

Can I use Pacvue Agent in Slack?

Yes. Pacvue Agent works within the Pacvue platform and directly in Slack. Teams can ask questions, get performance diagnostics, and initiate next steps right where decisions are already happening. This cuts context-switching and helps stakeholders respond faster when performance shifts or new opportunities come up.

Does Pacvue Agent support AMC?

Yes. Pacvue Agent removes the SQL bottleneck that slows most teams down with Amazon Marketing Cloud. It translates conversational business questions into AMC-ready queries, builds activation-ready audiences, and interprets report outputs into clear recommendations. Teams can operationalize AMC for deeper customer insights and more strategic audience targeting—no SQL required.

How does Pacvue Agent handle governance and approvals?

What kind of reports can Pacvue Agent generate?

Pacvue Agent generates visual, stakeholder-ready reports with structured summaries, key takeaways, and decision guidance. Reports help standardize how your team communicates performance to leadership and clients, reducing the time spent building decks and reconciling different interpretations of the same data.

Introducing Pacvue Agent