[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_152":153,"_154":155},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":-7,"_18":19,"_17":-7,"_115":-5,"_20":116,"_22":117,"_118":119,"_120":121,"_26":122,"_24":123,"_124":-5,"_125":-5,"_126":52,"_127":128,"_129":43,"_130":-5,"_131":-5,"_132":133},"routes/_app.x.$handle.$name.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":-5,"_29":-5,"_30":-5,"_31":-5,"_32":-5},"handle","ali_loynachan","name","voiceValueModel","branchName","main","version","path","main.ts","project",{"_33":61,"_13":14,"_44":62,"_63":-5,"_64":52,"_65":66,"_67":66,"_68":69,"_70":-5,"_71":72,"_73":36,"_74":43,"_75":-5,"_76":-5,"_77":78,"_79":80,"_81":-5,"_82":-5,"_83":-5,"_84":-5,"_85":86,"_87":86,"_88":89,"_90":89,"_91":89,"_92":86,"_93":86,"_94":95,"_96":97,"_98":99,"_100":52},"tree",[56],"file",{"_33":34,"_13":19,"_35":36,"_37":-5,"_38":39,"_40":41,"_42":43,"_44":45,"_17":46,"_47":48,"_49":50,"_51":52,"_53":54,"_18":55},"contents",[],"upstream","pull","ahead","behind","envVars","id","9b25ad94-9872-416d-8455-35587e8a8422","fileId","09f41f8a-ac9a-11f1-a293-1607ee4eb77e","parentId","branchId","bec1551d-0246-4ebd-87b4-d43bddd314b8","branchVersion",6,"latest",true,"createdAt",["D",1788993744930],5,"fileType","http","content","/**\n * Mews Voice value model — public page.\n * Paste this whole file into your mewsVoiceModel val (replace everything).\n */\n\nexport default async function (req: Request): Promise {\n return new Response(PAGE, {\n headers: {\n \"content-type\": \"text/html; charset=utf-8\",\n \"cache-control\": \"no-store\",\n },\n });\n}\n\nconst PAGE = `\n\n\n\n\nMews Voice Value Model\n\n\n\n\n\n\n\n\n\n

\n\n

\n ElevenLabs\n ×\n Mews\n Value model\n

\n\n

Mews Voice value model

What guest voice is worth if Mews packages it as a native product, rather than 1,200 properties buying it from someone else.

\n\n

\n \n Change any figure in a lime box, or drag its slider. Everything below recalculates as you move it, including the sensitivity grid.\n

\n\n

€12.6M

new ARR to Mews each year, at 20% attach across 15,000 properties.

€5.0M

a year going to partners today

\n\n

What's true today

Josef's figures from discovery. These describe the market as it already exists.

\n\n

\n Mews customers\n \n

\n \n

Mews press release, Unfold 2026. Verified.

\n\n

\n Running a third-party voice agent\n \n

\n \n

Josef's estimate, from Mews API traffic. Counts only integrated properties, so it's a floor.

\n\n

\n They pay that partner, per month\n \n

\n \n

Josef's estimate. Market rate for an integrated voice agent.

\n\n

\n Mews price to the property, per month\n \n

\n \n

Mine. Mews sets the retail number, not us.

\n\n

What Mews would do with it

The one number worth arguing about. Attach is a share of the whole base, not of the 1,200 already buying.

\n Target attach rate\n \n

\n \n

= 3,000 properties × €350 a month × 12

Mine. 8% already have voice, so this is the existing base plus new attach.

\n\n

\n Assumed gross margin\n \n

\n \n

Yours to set. I can't quote what this costs Mews, so put in whatever you'd need it to run at.

\n\n

Where that lands

Mews-side economics only.

Properties running voice today1,200

Going to those partners, a year€5,040,000

Properties at target attach3,000

switching from a partner1,200

new to voice entirely1,800

New ARR to Mews€12,600,000

Gross contribution, at 60%€7,560,000

No acquisition cost. These are properties you already have, sold by people already in the account.

\n\n

Sensitivity

New ARR a year. The highlighted cell is where your current inputs sit.

\n \n \n \n \n \n \n

Monthly price per property, across the top. Attach rate down the side.
Attach

\n\n

The property's own case

Why a hotelier buys it. A call that rings out at 11pm books on an OTA in the morning instead.

\n Average booking value\n \n

\n \n

\n OTA commission\n \n

\n \n

3.9

recovered direct bookings a month, and the subscription has paid for itself.

Roughly 0.9 a week. Each one saves €90 of commission.

\n\n \n\n

Sourcing. Customer count is published and verified. The 8% and the €350 are Josef's estimates from discovery, not precise figures. Attach rate and Mews price are mine.

The 8% is a floor. It only counts properties integrated with the Mews API. An answering service or a standalone bot never touches it, and that guest gets an agent with no view of their reservation.

Margin is yours to set. What ElevenLabs charges Mews is a volume conversation, so the model takes a margin assumption rather than a cost. Move it and see what's left.

Delivery is usage-priced, so cost scales with call volume. A flat per-property retail price won't hold across the base. It wants tiering.

\n\n

\n Prepared for Josef Starýchfojtů and Michael Wesner.\n Estimated figures. Not a commercial proposal.\n

\n\n

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