LeaveBy
Synthetic pre-validation brief
IL · travel
v11 · 50 personas · 2026-09-16
Travel agents and OTAs show tentative payer interest, but proof of retention lift is still missing.
Founder note
Readingreframe
Reach unknown for ota — Google returned no data for: כלי שימור לקוחות ota, הגדלת הזמנות חוזרות, מערכת תזכורות אוטומטית לנוסעים, פתרון white label לסוכנות נסיעות מקוונת, שיפור נאמנות לקוחות תיירות, אוטומציה לאחר הזמנת טיסה, מיתוג לאחר רכישה תיירות, הפחתת נטישת לקוחות תיירות.
Reach unknown for family trip organizer — Google returned no data for: תכנון יציאה לשדה התעופה למשפחה, שעת יציאה לטיסה עם ילדים, קבוצת וואטסאפ לטיול משפחתי, לוח זמנים לטיסה משפחתית, ארגון נסיעה לשדה התעופה.
Reach unknown for pre-flight traveler — Google returned no data for: כמה זמן לפני טיסה להגיע לשדה, מחשבון זמן יציאה לטיסה, עומס בנתיבי איילון עכשיו, תזכורת טיסה וואטסאפ, מתי לצאת מהבית לטיסה.
For these segments the verdict comes from would-pay and intent alone; "too small to reach" is not applied to a market Google gave no figures for.
Verdict: reframe. Do not spend on travel agent yet; change what you are asking first. The rule that fired: travel agent is too small to buy through search, so the ad maths does not apply. Every segment failed: ota (almost nobody would pay); family trip organizer (almost nobody would pay); pre-flight traveler (almost nobody would pay); travel agent (too small to reach by search). The objection that matters is "Already handles this personally by phone". The last edit moved travel agent by less than the margin: treat it as no change. Nothing in the pitch or the price changed between the two runs, so any movement is the panel answering again. The two runs used different panels, so part of that is which personas were drawn. Next: find a channel other than search for travel agent before buying ads.
“I already call them a week before to confirm everything anyway — this just automates away my touch point with the client right when they need to hear from me as a person”
If you change one thing
The paying customer is the Israeli travel agent or OTA: LeaveBy is branded as the agent and added to their booking confirmation, so the agent stays on the traveler's phone until the next trip.
Regenerate the brief to get a proposed rewrite of this sentence.
A suggestion: the pitch sentence that shares the most words with the top objection. Word overlap, not a measured cause.
Synthetic reading, assembled from the tables below.
Who buys and who uses
Is there a clear customer?- otaPayerNot described yet — write the brief.
- travel agentPayerNot described yet — write the brief.
- family trip organizerEnd userNot described yet — write the brief.
- pre-flight travelerEnd userNot described yet — write the brief.
Bottom-up market
SOM, not a TAM slide| Segment | Market size | Price | Per year | Reachable revenue |
|---|---|---|---|---|
| otaPayer | 0Google Ads | $325your pitch | × 12 | — |
| family trip organizerEnd user | 0Google Ads | — | — | |
| pre-flight travelerEnd user | 0Google Ads | — | — | |
| travel agentPayer | 40Google Ads | $55.00your pitch | × 12 | $26,400 |
Cost to acquire
Unit economics| Segment | CPC | Conversion | Cost per sign-up | Sign-ups/mo | Payback (mo) | Difficulty |
|---|---|---|---|---|---|---|
| ota | $0.00Google Ads | 1.00%default | — | — | — | 0.0 |
| family trip organizer | $0.00Google Ads | 3.00%default | — | — | — | 0.0 |
| pre-flight traveler | $0.00Google Ads | 3.00%default | — | — | — | 0.0 |
| travel agent | $2.94Google Ads | 1.00%default | $294 | — | 5.3 | 11.1 |
Willingness to pay
Any signal beyond the founder?| Segment | N | Would pay | Might pay | Median price | Interest /5 | Intent |
|---|---|---|---|---|---|---|
| ota | 50 | 6%±6.6 | 70% | $55.00 | 3.04 | 47.0 |
| family trip organizer | 50 | 8%±7.5 | 4% | $0.00 | 2.46 | 25.9 |
| pre-flight traveler | 50 | 6%±6.6 | 0% | $0.00 | 2.34 | 22.5 |
| travel agent | 50 | 14%±9.6 | 56% | $55.00 | 3.00 | 46.8 |
Objections, and our answer
Do they know their risks?| ota24 need proof it lifts repeat bookings | Not yet answered. |
|---|---|
| 13 already have reminders/notifications built in-house | Not yet answered. |
| travel agent19 Already handles this personally by phone | Not yet answered. |
| 15 Need proof of retention before paying | Not yet answered. |
What changed
Learning velocity| Run | What changed | Would pay | Intent |
|---|---|---|---|
| v10 → v11Different panels | re-run, unchanged · ota | -4 pts | -0.7 |
| v9 → v10Different panels | re-run, unchanged · ota | 0 pts | +2.7 |
| v8 → v9Different panels | re-run, unchanged · ota | +10 pts | +0.6 |
Recommended first spend
What does the next cheque buy?otaPayer
$1,000/mo → — sign-ups at — each
OTAs offer the clearest payer identity and the strongest modelled intent, even though payback stretches over a year. Travel agents run close behind with nearly identical economics but slightly softer conviction. The trade-off is OTA scale against agent familiarity with the manual task LeaveBy replaces.
Confirms: —+ sign-ups in month one, at — or less each. Kills it: under — sign-ups, or a cost per sign-up above the price.
Clearing the confirm threshold would show OTAs convert at a rate that justifies wider ad spend on this payer. Falling below the kill threshold would mean the wedge into OTAs is too costly to pursue at this price and channel.
Biggest unresolved risk: The brief cannot yet confirm that any payer segment believes LeaveBy measurably improves booking retention.
Assumptions register
Where does each number come from?| Market size, revenue | Google Ads | Monthly search volume: a proxy for a population, not a count. Revenue is a ceiling. |
|---|---|---|
| Price | your pitch | What the panel was quoted. Uzers knows price, not margin. |
| CPC | Google Ads | Paid search only. No organic or sales-led acquisition modelled. |
| Conversion | default | Sign-ups assume a $1,000 budget. Payback is gross, not margin. |
| Panel evidence | 50 AI personas | A difference smaller than the margin of error beside it is not a result. |
Synthetic pre-validation. The panel is AI personas, not users, and every reaction is a prediction. Real-campaign results replace these estimates.
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