# Engagement metrics beyond the click
A cruise line sends a pre-trip email 45 days before departure: "Build Your Dream Itinerary." Open rate: 38%, well above the travel industry benchmark of roughly 20-25% (estimate, various email service provider benchmark reports, 2024-2025). The marketing team celebrates. Three weeks later, only 4% of those openers have booked a shore excursion or specialty dining package, the actual revenue event the campaign was built to drive.
This is the trap of engagement metrics: they are easy to collect, satisfying to report, and frequently disconnected from what the business actually needs, conversion and revenue. This lesson separates vanity signals from predictive ones.
In the marketing funnelmarketing funnelFunnel analysis tracks how users move through a sequence of steps toward a goal, revealing where they drop off and which stages need improvement.View full definition →, engagement metrics occupy the middle: past someone noticing you (impressions, ), before someone paying you (bookings, revenue). They are meant to be leading indicators of conversion.
Common engagement metrics in travel and hospitality:
The problem: many of these are proxies for attention, not intent. A high open rate can reflect a catchy subject line and nothing else. Session depth can reflect confusion (users hunting for information they can't find) rather than interest.
Not all engagement is equal. The distinction that matters is behavioral specificity: does the action require the user to commit information or effort that signals real trip intent?
Low predictive value (dashboard-friendly, conversion-weak):
High predictive value (harder to get, worth tracking):
The mechanism is simple: actions that cost the user time, personal data, or a small commitment (selecting a departure date, entering a cabin preference) correlate with real purchase intent far more than actions that cost nothing (an inbox auto-opening an email).
Suppose the cruise line's pre-trip campaign reaches 100,000 past guests.
Conversion from itinerary-builder completion to booking: 310 / 900 = 34.4%.
Conversion from email open to booking: 310 / 38,000 = 0.8%.
The itinerary-builder completers convert roughly 40 times more reliably than openers as a group. If the marketing team optimizes subject lines to chase open rate, they are optimizing the weakest part of the chain. If they invest in making the itinerary builder faster, more personalized, and easier to complete, they are optimizing the strongest part.
Session depth (pages or screens per visit) is often reported as a health metric for apps and booking engines. It is genuinely useful, but only when paired with where the depth occurs.
A practical rule: tag session depth by page category, not just page count. A 12-page session that stays inside the booking flow is a very different signal from a 12-page session that bounces between "refund policy," "COVID policy," and "contact us."
A basic way analytics teams operationalize this: weight pages by funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.View full definition → stage rather than counting them equally.
session_quality_score =
(pages_in_planning_stage * 3) +
(pages_in_booking_stage * 5) +
(pages_in_support_or_policy_stage * -2)This is a simplified illustrative model, not an industry standard formula, but it demonstrates the principle: raw session depth without stage-weighting can mislead dashboards into treating anxious, confused browsing as "high engagement."
Rough, sector-level estimates (treat all as directional, sourced from industry email/marketing benchmark aggregators such as Litmus and Mailchimp's industry benchmark reports, 2024-2025 data):
| Metric | Travel/hospitality estimate | Note |
|---|---|---|
| Email open rate | 20-25% (US), similar in Europe | Inflated by privacy-protection auto-opens |
| Email CTRCTRClick-Through Rate (CTR) is the percentage of people who click a link, ad, or call to action out of those who viewed it.View full definition → | 2-3% | More durable signal than open rate |
| App session length | 3-5 minutes (estimate, varies widely by brand) | Context-dependent |
| Itinerary-builder completion rate | 15-25% of starters (estimate, varies by UX quality) | Highly brand-specific |
| Cart/booking-flow abandonment | 60-80% (estimate, consistent with broader e-commerce travel benchmarks) | Similar to hotel and airline booking funnels |
These numbers vary significantly by brand, loyalty tier, and season, so use them as a sanity check on your own dataown dataData collected directly from your own customers and prospects through your own channels: your most reliable and privacy-compliant source.View full definition →, not as a target to hit blindly.
Knowledge check
1. In the cruise line email example, why does the 38% open rate ultimately mislead the marketing team?
2. Where do engagement metrics sit in the marketing funnel, and what role are they supposed to play?
3. What is the key distinction the lesson uses to separate low-predictive engagement metrics from high-predictive ones?
4. Select ALL correct answers about why metrics like open rate, session depth, and scroll depth can be misleading as standalone success indicators.
Select all the correct answers.
5. Select ALL correct answers about what makes an engagement metric more likely to predict actual conversion.
Select all the correct answers.
Three practical principles for marketing teams in the sector:
1. Rank metrics by cost-to-fake. Ask: could a bot, a pre-loader, or pure curiosity generate this signal without real intent? Opens 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.View full definition → score low on cost-to-fake. Completed itineraries and saved trips score high.
2. Always pair an engagement metric with its downstream conversion rate. Never report open rate alone; report open-to-click, click-to-itinerary-start, itinerary-start-to-completion, and completion-to-booking as a connected chain. This is sometimes called a micro-funnel, a funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.View full definition → built inside what looks like a single engagement metric.
3. Segment session depth by intent-stage, not just raw count, as shown above.
A short, well-produced explainer on separating vanity metrics from actionable ones is useful context here:
🎬 [VIDEO: "Vanity Metrics vs Actionable Metrics" - youtube.com/results?search_query=vanity+metrics+vs+actionable+metrics+marketing - a concise walkthrough of why surface-level engagement numbers often mislead marketing teams, applicable directly to travel booking funnels]