Proactive Insights

The revenue hiding in your data, found and turned into a send.

A set of AI agents reads your full email and order history, including the years before LTV.ai, finds the revenue no one has the time or the vantage point to find, and builds the email that acts on it. You approve it, or you don't.

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LTV.aiAPPAttribute correlation

Found an interesting insight

Salad plate buyers spend 2.5x more over their lifetime, $537 versus $217, and reorder 2.5x more often.

Already turned into a campaign, ready for review

The Plate You'll Reach For Every DayBuyers without salad plates

What: A discovery email reframing the salad plate as the hardest-working piece in the cabinet, anchored by four repeat-favorite patterns.
Why: Roughly 1.37M customers have ordered in three years, and most have never bought a salad plate, yet salad plate owners return more often than any other category's buyers.
When: Later this week, in an open non-promotional slot, so a full-price craft and story email stands alone.

ApproveRefine

Sur La Table email: You Bought It For Salad, You'll Use It For Everything, featuring four salad plate styles. — The email that shipped

Trusted by leading commerce brands

Real findings

Findings that turned into a send.

Start with proof. Three findings from real brands, each paired with the exact audience it changes and the finished email that shipped with it.

Revenue hiding in your data

There is revenue in your data you will never find by hand.

Every brand is sitting on findings like this. Most never surface, because no one has the hours or the cross brand view to go looking.

Proactive Insights answers how your business actually works, not just what to send next. The answer sits in years of email and order history, including the data from before you used LTV.ai, and across comparable brands no single brand can see. A set of AI agents reads all of it.

Anatomy of an insight

A finding is not an insight until it ships an action.

What it looks for

Six kinds of finding, rotated to stay fresh.

How a finding earns a slot

Three tests before anything reaches you.

Novelty

It has to be genuinely non obvious. A fact your team already knows does not clear the bar.

Materiality

Revenue at stake. A finding only counts if there is real money in acting on it. That figure is a forecast of what the action is worth, not a claim of proven lift.

Email actionability

It has to become a campaign a human would approve. A finding with no send attached is not shippable, and never surfaces.

Always on

Finds the opportunity

A set of AI agents scours your full history for revenue you would miss by hand.

Ready to approve

Closes the loop

Each finding ships with the finished email that acts on it, waiting for your yes.

Never the same twice

Coverage

It rotates across six kinds of finding and keeps a ledger of what it has surfaced, so a fresh one is always in reach.