> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ltv.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Targeting Agent

> AI-powered audience building, segmentation, and email personalization — fully automated

## Never think about who to send to again.

The AI builds your audience, picks the best segmentation, and creates a unique email for each segment.

***

## Step 1: Audience Suggestions

### Describe your campaign. We'll find your audience.

The AI queries your customer data in real time and suggests the audiences most likely to convert — not pre-built segments, but fresh, campaign-specific audiences generated on the fly.

<Frame>
  <img src="https://mintlify.s3.us-west-1.amazonaws.com/ltvai/images/placeholders/targeting-chat-ui.png" alt="Chat UI showing campaign brief and AI audience suggestions" />
</Frame>

<Info>
  **What you'll see:** You type a campaign brief like *"Help me launch our new outdoor oak dining collection. 12 pieces, price range $400-$2,200. Want to push it hard this week."* — and the AI responds with 5 selectable audience suggestions, each with customer counts (42k, 68k, 87k, 31k, 24k).
</Info>

***

## Step 2: You're In Control

### Accept, reject, or add your own.

The AI does the thinking, but you make the final call. Add your own audiences, remove ones that don't fit, or just accept everything and move on.

<Columns cols={3}>
  <Card title="Accept all or some" icon="check">
    Take every suggestion, or cherry-pick the ones that make sense for this campaign.
  </Card>

  <Card title="Reject and start fresh" icon="xmark">
    Don't like any of them? Reject all and the AI will try different angles.
  </Card>

  <Card title="Add your own queries" icon="plus">
    Type any audience in plain language — "all customers who spent over \$200" — and we'll run it through the same system.
  </Card>
</Columns>

***

## Step 3: One Unified List

### We merge everything into one clean list.

No matter how many audiences you select — AI-suggested, manually added, or both — we deduplicate and merge them into one final send list.

<div style={{ textAlign: 'center', padding: '2rem 0' }}>
  | Audience                      | Customers |
  | ----------------------------- | --------- |
  | Outdoor furniture buyers      | 42,000    |
  | High-AOV dining browsers      | 68,000    |
  | Garden / outdoor space cities | 87,000    |
  | Oak, teak & wood buyers       | 24,000    |

  <div style={{ fontSize: '1.5rem', padding: '1rem 0' }}>
    **↓**
  </div>

  <Note>
    **145,000 unique customers** — deduplicated and ready to send
  </Note>
</div>

***

## Step 4: Smart Segmentation

### Then we pick the best way to segment it.

Our ML model evaluates your campaign, your audience, historical performance, and the time of year to select the segmentation strategy that will drive the most revenue.

<Columns cols={2}>
  <div>
    ### AI Recommendations

    <Card title="1. Seasonal / Weather-Based" icon="sun">
      **Recommended** — Outdoor summer launch with a geographically diverse audience. Push urgency to warm climates, aspirational messaging to cooler ones.
    </Card>

    <Card title="2. AOV Tier" icon="ranking-star">
      Wide spend range in audience. Show premium oak pieces to high-AOV, entry-point accessories to lower-AOV.
    </Card>

    <Card title="3. Category-Based" icon="grid-2">
      Split by seating vs. dining vs. decor affinity to feature the most relevant products.
    </Card>

    <Card title="Skip segmentation" icon="forward">
      Or skip segmentation and send the same email to everyone.
    </Card>
  </div>

  <div>
    ### How it works

    The AI presents its top 3 recommendations ranked by predicted performance. You can go with #1, override to #2 or #3, or skip segmentation entirely.

    The model factors in:

    * **Campaign context** — what you're promoting and why
    * **Audience composition** — who's in the list and what they have in common
    * **Historical performance** — what's worked before for similar campaigns
    * **Data availability** — what customer data points are available to segment on
    * **Time of year** — because discount segmentation doesn't make sense during BFCM, and gift-buyer segmentation matters most in November and December
  </div>
</Columns>

### Seven strategies the AI chooses from

Each one changes something different about the email your customers receive.

<Columns cols={4}>
  <Card title="Discount-Based" icon="tag">
    Automatically identifies who needs a discount to convert vs. who will buy at full price. Protect your margins.
  </Card>

  <Card title="Category Affinity" icon="shirt">
    Segments customers by what they buy — pants, tops, accessories. Each segment gets tailored copy, products, and links automatically.
  </Card>

  <Card title="Location-Based" icon="location-dot">
    Tailors messaging based on where customers are. Local events, regional trends, city-specific hooks.
  </Card>

  <Card title="Weather-Based" icon="cloud-sun">
    Real-time weather data triggers contextual variants. Sell what makes sense for their forecast.
  </Card>
</Columns>

<Columns cols={3}>
  <Card title="Purchase Frequency" icon="repeat">
    Knows the difference between a one-time buyer and a loyal repeat customer. New buyers get convinced, VIPs get recognized.
  </Card>

  <Card title="AOV Tier" icon="money-bill-trend-up">
    Matches product recommendations to spending level. High spenders see premium pieces, value shoppers see entry points.
  </Card>

  <Card title="Gifters vs. Self-Buyers" icon="gift">
    Detects whether customers buy for themselves or others based on purchase patterns. Gift buyers get "they'll love this," self-purchasers get "treat yourself."
  </Card>
</Columns>

***

## Step 5: Personalized Variants

### Every segment gets a tailored email.

Same campaign, but every customer gets the version most likely to convert them.

<Tabs>
  <Tab title="Warm Climate">
    **Segment tag:** Warm Climate / 92 degrees F

    **Subject:** Your backyard is ready for an upgrade

    **Preview:** Perfect weather to finally get that outdoor set...

    > It's gorgeous out in Austin right now — perfect timing to set up that outdoor dining space you've been thinking about. Our new oak collection just dropped and it's built for exactly this.
  </Tab>

  <Tab title="Moderate Climate">
    **Segment tag:** Moderate Climate / 68 degrees F

    **Subject:** Summer's around the corner — get set up early

    **Preview:** Beat the rush on our new outdoor collection...

    > Spring in Portland means outdoor season is right around the corner. Get ahead of it — our new oak furniture collection is in stock now and these pieces tend to sell out fast once it warms up.
  </Tab>

  <Tab title="Cool Climate">
    **Segment tag:** Cool Climate / 41 degrees F

    **Subject:** Plan ahead: outdoor furniture at 30% off

    **Preview:** Lock in summer prices while it's still winter...

    > I know Chicago's still freezing, but the smart move is buying outdoor furniture now while everything's 30% off. By summer these will be full price and half of them will be out of stock.
  </Tab>
</Tabs>

***

## Stop guessing who to send to.

Let the AI find your audience, pick the right segmentation, and personalize every variant. You just approve and send.

<Card title="Get started" icon="arrow-right" href="https://ltv.ai/contact">
  Talk to our team and see the Targeting Agent in action.
</Card>