AI email platform for furniture

The AI campaign team for furniture brands.

Every morning, a set of AI agents finds the opportunity, builds the campaign, and hands it to you where you already work. You just say yes.

Brands on LTV.ai see a 22% lift on email revenue, measured against a holdout.

# ltv-ai-proactive-agent
LTV.ai
LTV.aiAPP8:50 AM
Daily briefing: your campaigns are ready
COMPETITOR-INSPIRED
The Peony Room
PROJECTED REVENUE
$55,000
AUDIENCE✓ BUILT
34,000
pink and home-decor engaged, plus lapsed browsers
WHAT  Recreate the peony color story as a full room build, hero'd by the exclusive Alexander Settee in blush velvet, layered with the Anders rug, Adelina lamp, Hicks berry-pink stool, and faux peony arrangements.
WHY  Lulu and Georgia broke their promo cadence to send "A Summer Color Story: Peony" on 7/5. Competitors are pivoting to soft, color-led editorial as the sale cycle wraps. OKL has 536 pink-tagged products and 84 peony SKUs, plus exclusives LG can't match, so OKL answers with a real room, not one editorial send.
WHEN  Send Thursday 7/9, right after competitor July 4 promos expire, so it lands in a quieter inbox as a palate cleanser.
Competitor email
Seen on Milled: Lulu and Georgia, 7/5
A Summer Color Story: Peony
Trusted by leading ecommerce brands
spongellefresh-clean-threadsone-kings-lanethe-sillmiraclesuittwilloryvitamin-abackcountryfableticsthirdlovevenussur-la-tablemonkey-sportsmonica-and-andyspongellefresh-clean-threadsone-kings-lanethe-sillmiraclesuittwilloryvitamin-abackcountryfableticsthirdlovevenussur-la-tablemonkey-sportsmonica-and-andy
The furniture problem

Furniture is a considered, high-AOV purchase. A shopper browses a sofa for weeks before buying, so a single send rarely closes the sale, and blasting the full list only trains people to wait for a markdown. Room-level styling and coordinated collections are what actually move pieces, but building editorial-quality sends by hand is slow, so most brands under-send and leave the long consideration window sitting empty.

How it works for furniture

A set of AI agents finds the next campaign, then builds it.

The loop runs every day: a set of AI agents reads your catalog, sales, inventory, and calendar, builds the next campaign, and routes it to you for approval where you already work.

LTV.ai Slack briefing: the reasoning behind a furniture campaign recommendation
Net-new

Build the room around the hero piece

A set of AI agents spots a bestselling sofa with no supporting styling send, then builds a full room story around it with the rug, lighting, and accents that lift attach rate and average order value.

Competitor-inspired

Answer an editorial color story

When a competitor breaks cadence with a color or seasonal story, a set of AI agents builds your version from your deeper assortment and exclusives, so you own the narrative instead of ceding it.

Follow-up

Re-engage the long consideration

A shopper viewed a dining table twice but did not buy. A set of AI agents builds a follow-up with the finished look and lead-time reassurance while intent is still warm.

Targeted offers

Discount the aging inventory, not the catalog

A slow-moving finish sits in the warehouse. A set of AI agents routes a targeted markdown to the price-sensitive segment only, so you clear stock without teaching full-price buyers to wait.

Proof
up to 22%lift on email revenue

The lift is measured against a holdout group, so you see the incremental revenue the agents actually added, not credit borrowed from sends you would have made anyway.

spongellefresh-clean-threadsone-kings-lanethe-sillmiraclesuittwilloryvitamin-abackcountryfableticsthirdlovevenussur-la-tablemonkey-sportsmonica-and-andyspongellefresh-clean-threadsone-kings-lanethe-sillmiraclesuittwilloryvitamin-abackcountryfableticsthirdlovevenussur-la-tablemonkey-sportsmonica-and-andy
How you start

Live in about 15 minutes. No engineers needed.

  1. 1
    Connect your store.

    One connection, no engineering work, nothing to rebuild.

  2. 2
    A set of AI agents studies your catalog, calendar, and customers.

    They learn your brand, your products, and who buys what.

  3. 3
    Finished campaigns arrive where you work for approval.

    You say yes, edit, or skip. Nothing sends until you do.

Furniture FAQ

Questions furniture teams ask first.

Does it work for high-AOV considered purchases?

Yes. A set of AI agents is built for long, high-consideration journeys, sequencing sends across the weeks a shopper spends deciding rather than betting everything on one blast.

Can it build room and collection-level campaigns, not just single products?

Yes. It builds full room and collection stories around a hero piece, pulling in the rug, lighting, and accents that lift attach rate and average order value.

How does it handle long consideration cycles and repeat browsing?

It reads browse and purchase signals, so a shopper who keeps returning to a sofa gets a timed follow-up with the finished look and lead-time reassurance while intent is still warm.

Will the creative match our editorial standard?

Every campaign is built from your own product imagery, lookbooks, and brand rules, so each send reads as your label rather than a template.

Can it protect margin on full-price pieces?

Yes. Deeper offers route only to price-sensitive segments and aging inventory, so you clear stock without teaching full-price buyers to wait for a markdown.

Do I lose control of the calendar?

No. Nothing sends until you approve it. The agents propose the next campaign where you already work, with the audience, timing, and projected revenue, and you say yes, edit, or skip.

Put your furniture owned channels on autopilot.

Book a demo

Live in about 15 minutes. No engineers needed.