Layer 3 · Agents
Agents built to act,not just advise
Chord Agents are AI-powered operators that analyze data, build audiences, optimize spend, and take action across your commerce stack.
Put agents to work for your brandBuilding a high-intent audience for spring campaign
Shifting $2K from Facebook to TikTok
Flagging revenue dip in wholesale channel
Resolving "revenue growth" to net, YoY, DTC-only
Re-engaging lapsed subscribers from Q4 cohort
Pausing underperforming SKU promotions
Current Agents
Live agents taking real actions
Data Analysis Agent
Answers complex data questions in natural language.
Ask any question about your commerce data and get a direct, grounded answer — no SQL required. The agent draws on your full Data Foundation and Context Stack to produce results you can act on.
Query
“Which channel drove the highest LTV customers last quarter?”
Answer
Google / Search — $312 avg LTV, 2.4× above the blended average.
Audience & Targeting Agent
Builds and refines audience segments on demand.
Uses behavioral data, purchase history, and predictive signals to create precise audience segments for campaigns. Grounded in your full data model — not just what a single platform can see.
Expand 2% Lookalike Based on 120-Day LTV Cohort
Reach
+18%
Est. CAC
+$1.10
Proj. LTV CAC
+0.3×
Create 'Repeat Browsers – No Purchase (14d)' Segment
Audience
4.2k
Rev. impact
+$8.4k/mo
Conv. rate
6.1%
Spend Optimization Agent
Analyzes performance and acts on budget allocation.
Monitors channel performance against your KPIs and business rules, then recommends — or automatically executes — budget reallocation.
Pause Google Non-Brand: 'Generic Keywords'
Spend change
Pause
Profit impact
+$1.2k/mo
CAC improvement
-$0.80
Reduce spend on Meta Broad – US by 15%
Spend change
-15%
Profit impact
+$3.4k/mo
CAC improvement
-$2.10
Question Clarification Agent
Prevents confidently wrong answers.
Detects ambiguous or incomplete questions before producing results — and resolves them. This is the agent that stops AI from confidently hallucinating an answer to a question it didn't fully understand.
Input
"What's our revenue growth?"
Resolved as
Metric
Net revenue
Period
Year-over-year
Channel
DTC only
Input
"Show our best performing channel"
Resolved as
Metric
LTV-adj. CAC
Window
Last 90 days
Scope
All paid channels
Agents we're building
Retention Agent
SoonIdentifies at-risk customers and executes win-back campaigns before they churn.
Pricing Agent
SoonMonitors competitive signals and margin data to recommend dynamic price adjustments.
Inventory & Demand Agent
SoonForecasts demand by SKU, flags reorder risks, and surfaces overstock issues early.
Merchandising Agent
SoonOptimizes product placement, cross-sell surfaces, and collection sequencing.
Loyalty Agent
SoonTracks loyalty program health and optimizes reward economics for long-term retention.
Forecasting Agent
SoonProjects revenue, CAC trends, and channel performance across future time horizons.
Email & SMS Agent
SoonPlans and optimizes lifecycle messaging based on behavioral triggers and purchase signals.
Creative Performance Agent
SoonAnalyzes ad creative performance across channels and surfaces briefs for what to produce next.
Returns Agent
SoonIdentifies return pattern anomalies and flags risks before they hit your margin.
Why agents need context
Chatbots answer questions. Chord Agents act on answers.
Agents without context are just LLM wrappers. Chord's agents draw on the full Context Stack — which is why they can be trusted with real decisions.
FAQ
Common questions
What can Chord's agents do today?
Today, Chord has four active agents: a Data Analysis Agent that answers complex data questions in natural language; a Question Clarification Agent that prevents wrong answers; an Audience & Targeting Agent that builds and refines segments; and a Spend Optimization Agent that recommends or executes budget reallocation.
Can agents take action automatically or do they need approval?
Both modes are supported. Agents can surface recommendations for human approval, or be configured to act autonomously within guardrails your team defines.
How do agents learn from my data?
Agents draw on the full Context Stack — which includes your unified data, business rules, and institutional memory — before every action. The Context Stack improves over time as your team interacts with Chord.
What makes these different from a chatbot?
Chatbots answer questions. Chord Agents act on answers. They're grounded in your full data and business context, designed to take specific actions, and capable of operating autonomously within defined guardrails.