What lands

A 900-word letter lands.
Accurate, complete. Unread.
Interactive demo
Pick a person. Watch their moment go wrong as text. Then rewind, and see the same moment land as a video made just for them.
SarahInsurance customer · InsuranceRenewalRenewal churn −10.9% · measuredProvenNNadiaPatient · HealthcareMedication onboarding30+ languages · live in productionEElenaTelecom customer · Telecom & utilitiesFirst billBilling calls −30% · illustrative targetDDavidNew employee · HR · internal commsFirst 90 daysOn-time enrollment 95% · illustrative targetSarah has been insured for five years, the last three claim-free. Her renewal is the one moment each year she decides whether to stay.

Fig. 01 — The moment
Premium +8%Renewal Sep 123 claim-free years
Fig. 02 — Ending A: the letter
What lands

Accurate, complete. Unread.
What happens
Renewal letter · p. 2 of 3
Filed under “later”. Later never comes.
What sticks
+8%
the only line she registered
No why. No value. Just a bigger number.
The ending

Claim-free and loyal, gone in one click.
Status-quo figures are illustrative; the measured results are in the scoreboard below.
One thing changes: how she finds out.
Fig. 03 — Ending B: with Lont

One tap from watching. No login, no PDF attachment.
Built from her policy data, not a template: what changed, why it changed, and what her cover has been doing for her all along. And when her windshield offer appears, press it: the checkout opens inside the video.
Not an apology for the price, but a reminder of what it buys: cover for unexpected damage, help at the roadside, protection when the weather turns. Value she'd forgotten she had.
Her car, her three claim-free years, her renewal date, her perks: straight from the policy system. Nobody filmed anything.

She understood the price, remembered the value, and took the upgrade. The renewal became a loyalty moment.
Fig. 04 — The scoreboard
Measured · randomized controlled trial, 45,685 Allianz customers
Measured against a control group in the same renewal flow. Not one KPI; three moved together.
Fig. 05 — How Ending B gets made
From the data you already have, under rules you control. No filming, no production backlog. Update a scene once and every video updates.
Fig. 06 — The whole journey
This demo shows Sarah's renewal. Every other moment runs on the same programmable video layer; new moments light up as demo films are produced.
Nadia, 67, picks up a new medication. How she takes it in the first week decides whether the treatment works at all.
Fig. 01 — The moment
New prescription2× daily · with foodTurkish-speaking
Fig. 02 — Ending A: the leaflet
What lands
With:Your medication
Inside:Package leaflet (A4, ×6)
Folded six times, font size 7.
What happens
Package leaflet · fold 4 of 6
Medical terms, in her second language.
What sticks
2×…?
half-remembered counter advice
With food? Morning? Both pills?
The ending
Incorrect first use
New medications · first month
1 in 3
Or calls. Either way, the treatment stumbles.
Status-quo figures are illustrative; the measured results are in the scoreboard below.
One thing changes: how it's explained.
Fig. 03 — Ending B: with Lont
Sent with the prescription, playable at the kitchen table.
Merhaba Nadia, yeni ilacınızı birlikte inceleyelim.
One template, adapted to age, language and dosage: automatically, for every patient.
Not just instructions, but what following them protects: faster recovery, fewer side effects, no repeat visits, and help in her own language.
Drug, dose, age, language: rendered per patient, in 30+ languages. Nobody films anything.
Correct dose, correct schedule, full course. No callback needed.
Fig. 04 — The scoreboard
Live in production · CAREANIMATIONS, 16,000 videos a month
Explainers previously made by hand are rendered automatically: consistent, multilingual, no production burden.
Fig. 05 — How Ending B gets made
From the data you already have, under rules you control. No filming, no production backlog. Update a scene once and every video updates.
Fig. 06 — The whole journey
This demo shows Nadia's medication onboarding. Every other moment runs on the same programmable video layer; new moments light up as demo films are produced.
Elena switched providers for a promo. Her first bill is €22 higher than the quote. This is where trust breaks or builds.
Fig. 01 — The moment
Quoted €39.95First bill €61.90Promo from cycle 2
Fig. 02 — Ending A: the invoice
What lands
From:Acme Telecom
Subject:Your invoice is ready
A PDF. €61.90, reasons inside.
What happens
Invoice INV-2026-031 · 14 line items
Everything explained, nothing clear.
What sticks
€61.90?!
quoted: €39.95
The pro-rating never lands.
The ending
Billing contact rate
First invoice · new customers
31%
At promo end, she's gone.
Status-quo figures are illustrative; the measured results are in the scoreboard below.
One thing changes: the bill explains itself.
Fig. 03 — Ending B: with Lont
Delivered in the same email as the invoice.
Hi Elena, let's walk through your first bill.
Pro-rated days, activation, when the promo kicks in: a chapter per line item.
The plan is better than the bill she feared: full fiber speed, the streaming bundle, her mobile data boost, and the loyalty price from next cycle.
Line items become chapters. No support script required.
She knows next month is €39.95, as promised.
Fig. 04 — The scoreboard
Illustrative targets · reference: the Allianz trial (churn −10.9%)
Target outcomes for this journey, benchmarked on what the same mechanism measured in insurance.
Fig. 05 — How Ending B gets made
From the data you already have, under rules you control. No filming, no production backlog. Update a scene once and every video updates.
Fig. 06 — The whole journey
This demo shows Elena's first bill. Every other moment runs on the same programmable video layer; new moments light up as demo films are produced.
David signed three weeks ago and starts Monday. Everything he's received so far: a portal login. Day one sets the tone for year one.
Fig. 01 — The moment
Starts Monday12 PDFs waitingBenefits deadline Aug 31
Fig. 02 — Ending A: the portal
What lands
From:HR Portal
Subject:Welcome! Please review 12 documents
Twelve PDFs, equal priority.
What happens
Employee handbook · p. 1 of 40
The rest wait for “later”.
What sticks
12 PDFs
what he remembers: the wifi password
Deadlines and benefits blur together.
The ending
Benefits enrolled on time
New hires · first 30 days
58%
Ramp-up drags for weeks.
Status-quo figures are illustrative; the measured results are in the scoreboard below.
One thing changes: how his first week reaches him.
Fig. 03 — Ending B: with Lont
In his personal inbox, before day one.
Welcome David: your first week at Acme.
Rendered per hire, re-rendered whenever policies change.
The good stuff from intranet page 34, surfaced in week one: pension match, learning budget, health cover from day one, even the bike plan.
Role-specific, location-specific, deadline-aware.
His manager spends week one on work, not logistics.
Fig. 04 — The scoreboard
Illustrative targets · the same programmable video layer as the measured journeys
Target outcomes. The mechanism is identical: personal, measurable video from data you already have.
Fig. 05 — How Ending B gets made
From the data you already have, under rules you control. No filming, no production backlog. Update a scene once and every video updates.
Fig. 06 — The whole journey
This demo shows David's first 90 days. Every other moment runs on the same programmable video layer; new moments light up as demo films are produced.
Your journey next
Tell us the moment you want to move (renewals, onboarding, claims) and we'll show you Ending B, with the numbers behind it.
Thanks, that's in.
We'll be in touch within one business day to set up your walkthrough.