The booking funnel, stage by stage

Stage 1: ImpressionsImpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète → and reachreachThe number of unique people exposed to your message in a given period. Unlike impressions, reach counts each person once, no matter how often they see it.Voir la définition complète →

An impressionimpressionThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète → is one display of your listing, ad, or page to a potential guest. It's the top of the funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète →, pure visibility.

In travel, impressionsimpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète → happen across several channels simultaneously:

• Metasearch (Google Hotel Ads, Trivago, Kayak): aggregators that show price comparisons across OTAs and direct sites for the same property.
• OTA search results: your listing ranked among dozens of competitors in a city.
• Paid social and search ads: Instagram, Google Search.

The relevant metric here isn't just volume but share of voiceshare of voiceYour brand's share of total advertising or conversation volume in your category, measured against competitors over a defined period.Voir la définition complète →: what percentage of impressionsimpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète → in your comp set (competitive set, the group of comparable properties you benchmark against) go to you versus rivals. A hotel ranking on page one of Booking.com for "Lisbon boutique hotel" captures dramatically more impressionsimpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète → than one on page three, independent of price or quality.

Stage 2: Clicks and site visits

Click-through rateClick-through rateClick-Through Rate (CTR) is the percentage of people who click a link, ad, or call to action out of those who viewed it.Voir la définition complète → (CTRCTRClick-Through Rate (CTR) is the percentage of people who click a link, ad, or call to action out of those who viewed it.Voir la définition complète →) measures what fraction of impressionsimpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète → convert to an actual click, calculated as clicks divided by impressionsimpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète →. Industry CTRs for hotel metasearch ads are commonly estimated in the 3 to 8% range as of 2025, though this varies heavily by market and season (Google Hotel Ads resources are a reasonable starting reference for how ranking and CTRCTRClick-Through Rate (CTR) is the percentage of people who click a link, ad, or call to action out of those who viewed it.Voir la définition complète → interact).

Once a guest clicks through, she lands either on the hotel's own website or an OTA product page. This is the moment marketing teams start counting site visits, and it's also where attributionattributionA framework for assigning credit to the touchpoints that contributed to a conversion, so you can measure which channels and interactions actually drive results.Voir la définition complète → gets messy: the same guest might click a metasearch ad, browse the direct site, leave, then return later via a branded search and get counted as a "new" visit in analytics tools like Google Analytics.

Stage 3: Look-to-book ratio

This is the workhorse metric of travel marketing. Look-to-book ratio measures how many searches or site visits it takes to generate one completed booking.

Formula:

If a hotel website receives 5,000 visits in a month and converts 100 into bookings, the look-to-book ratio is 50:1. Direct hotel websites typically see conversion rates (the inverse of look-to-book, expressed as a percentage) estimated around 2 to 5%, meaning look-to-book ratios roughly between 20:1 and 50:1. OTAs, with their large-scale traffic but comparison-heavy browsing behavior, often report lower conversion rates per session, commonly cited as under 2%, because a large share of visitors are still comparing multiple properties (source: various OTA investor presentations and travel industry analyses; treat exact figures as estimates that shift by season and market).

Why it matters: look-to-book is the single clearest signal of funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète → health. A high ratio (many looks, few books) points to either a pricing problem, a weak value propositionvalue propositionA clear statement of the benefits your product delivers, the problems it solves and why customers should choose you over alternatives.Voir la définition complète → on the page, or friction in the booking flow itself.

Stage 4: Cart abandonment

Cart abandonment happens when a guest starts the booking process (selects dates, room type, enters guest details) but exits before completing payment. It's distinct from simply browsing.

Cart abandonment rates in travel are estimated at 60 to 80% depending on device and booking complexity, higher than average e-commerce abandonment (commonly cited around 55 to 70% across retail broadly, per aggregated e-commerce analytics sources such as Baymard Institute's checkout usability research). Travel bookings involve more decision friction: multi-night date changes, add-ons (breakfast, cancellation flexibility), and higher price points than a typical retail cart.

Common abandonment triggers specific to hospitality:

• Unexpected resort fees or taxes appearing only at final checkout.
• Rigid cancellation policies shown late in the flow.
• Slow mobile checkout (a large share of travel research happens on mobile, though booking completion still skews toward desktop for higher-value stays).

Worked example: A hotel's direct site sees 1,000 users begin the booking flow (select room, enter dates) in a week. 250 complete payment. Cart abandonment rate:

That 75% figure looks alarming in isolation, but it's roughly in line with sector norms, so the useful comparison is against your own historical baseline and against your comp set, not against an ideal of zero.

Stage 5: Confirmed bookings and the value that follows

A confirmed booking is the funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète →'s conversion event: payment or guarantee captured, reservation locked. But in hospitality, this isn't the end of the value chain. Two follow-on metrics matter:

• Cancellation rate: the share of confirmed bookings later cancelled before stay date. Free-cancellation policies (common on OTAs to boost initial conversion) can push cancellation rates up meaningfully, sometimes estimated at 20 to 40% for flexible-rate bookings versus under 10% for non-refundable rate bookings.
• Direct versus OTA mix: the same confirmed booking costs the hotel very differently depending on channel. A direct booking might cost a few percentage points of the room rate in marketing and payment processing; an OTA booking typically carries a commission estimated in the 15 to 25% range of booking value (varies by OTA and market), a cost worth remembering as we head into the next lesson on CACCACCustomer Acquisition Cost (CAC) is the total sales and marketing spend divided by the number of new customers gained in a period. It measures how efficiently you grow.Voir la définition complète → and channel economics.

Comparing the same journey: direct site vs. OTA

| FunnelFunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète → stage | Hotel direct site | OTA listing |

|---|---|---|

| ImpressionsImpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète → | Lower volume, owned brand searches | High volume, aggregated demand |

| CTRCTRClick-Through Rate (CTR) is the percentage of people who click a link, ad, or call to action out of those who viewed it.Voir la définition complète → | Higher among loyal/returning guests | Lower, split across many competing listings on one page |

| Look-to-book | Better (visitors are often already convinced) | Weaker per session, but massive top-of-funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète → volume compensates |

| Cart abandonment | Sensitive to site speed and payment friction | Sensitive to price comparison behavior (guests re-check three tabs) |

| Cost per confirmed booking | Lower marginal cost, higher fixed cost (website, brand marketing) | Higher variable cost (commission), near-zero fixed cost |

This is why most hotels run both channels deliberately rather than choosing one: OTAs solve the discovery and impressionsimpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète → problem at scale, while direct channels protect margin on guests who already know the brand.

🎬 [VIDEO: "How Hotels Use Data to Increase Direct Bookings" - youtube.com - search for hospitality revenue management channels covering direct booking strategy and funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète → optimization; look for content from recognized hospitality analytics firms or hotel school programs]

Building a simple funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète → tracker

Even a lightweight funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète → view helps non-technical marketing teams spot where guests drop off:

Stage            Count      Conversion to next stage
Impressions      100,000    3.5% -> clicks
Site visits      3,500      12% -> booking started
Booking started  420        60% -> completed
Confirmed        252        —

Look-to-book here: 3,500 / 252 ≈ 13.9:1. Cart abandonment: 40%. Both numbers are only meaningful when tracked over time and against comp set benchmarks, not as one-off snapshots.

Key Takeaways

• The booking funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète → has five trackable stages: impressionsimpressionsThe total number of times an ad or piece of content is displayed, regardless of clicks. Each display counts as one impression, even to the same person.Voir la définition complète →, clicks/site visits, look-to-book ratio, cart abandonment, and confirmed bookings, each with its own formula and sector benchmark.
• Look-to-book ratio (visits divided by bookings) is the single best diagnostic for funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage. health; direct sites often run 20:1 to 50:1, OTAs frequently show lower conversion per session but far higher volume.