
From Desk to Dirt: How to Launch Your Own Adventure-Based Lifestyle Business
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Discover the five crucial marketing metrics that truly matter for your business. Learn how to interpret website data effectively and optimise your marketing strategy for better customer acquisition and retention.
When diving into marketing analytics, it's easy to get caught up in vanity metrics.
How many likes did you get?
How many people did your content reach?
What was your engagement like?
While these figures might look impressive and help gauge awareness and reach, they don't necessarily align with your ultimate goals:
Acquiring new and repeat customers.
Instead, let's focus on a straightforward, jargon-free method to interpret your website data using just five key metrics.

Gather your data from last month.
Compare your numbers to the ideal ranges provided below.
If a metric "needs work," follow the "If X then do Y" recommendations.
What it tells you: Are enough people seeing your offer?
Good: Stable or growing 5–10% month-on-month
Needs work: Flat or declining for 4+ weeks
If X then do Y:
One or two traffic sources only: Add a test channel like a partner feature, niche directory, or paid campaigns on high-intent terms.
Heavy social, low intent: Shift efforts towards search, referrals, or email.
Seasonal dip: Create a timely offer and update your hero section to match demand.
What it tells you: Are visitors expressing interest?
Good: Consistent weekly enquiries with a gentle upward trend
Needs work: Spiky weeks or any zero-enquiry weeks
If X then do Y:
Spiky pattern: Standardise your primary Call To Action (CTA) and form across pages; eliminate competing CTAs.
Zero weeks: Introduce a lower-friction step like a callback, pay in three, or a quote.
Channel mismatch: Use channel-specific landing pages and ensure your ads/posts match the promise.
Targets:
Services: 2–5% baseline; 5–10% strong
Local services: 5–12%
E-Commerce: 1-3% baseline; 3-5% strong
Needs work: If you're below the lower bound for your type
If X then do Y:
Below target: Improve the hero section with a clear headline (what, who, outcome), one CTA, visible proof, and ensure it's fast on mobile.
Lots of views, few clicks: Revise CTA and subhead for outcome; add risk-reducers.
High mobile traffic, low mobile conversion rate (CR): Compress hero image, shorten forms, enlarge tap targets.
What it tells you: Are you paying a sensible price for your pipeline?
Good: Within your acceptable payback/Customer Acquisition Cost (CAC) band, steady or improving
Needs work: Rising 2–3 weeks in a row or above target
If X then do Y:
Rising costs, stable CR: Pause broad/low-intent terms; focus on high-intent search and remarketing.
High cost and low CR: Fix the page first, then reopen spend.
Bloated stack: Remove paid widgets/scripts that don’t enhance conversion; invest in proof and clarity.
What it tells you: How long decisions take from first visit
Good: Most act within 1–3 visits or under 7 days.
Needs work: Long delays or many return visits without action
If X then do Y:
Long lag: Add reminders like exit intent, simple email capture, and remarketing, addressing top objections.
Many returns, no action: Add comparison/FAQ near the CTA; explain exactly what happens next.
High mobile returners: Offer "Text me the link" or "Email this to myself" to continue on desktop.
High visitors, low enquiries: Offer unclear. Tighten headline/subhead; add proof and one CTA.
Low visitors, decent conversion: Distribution issue. Add one new channel; publish one comparison or case study.
Rising cost, flat conversion: Targeting off. Narrow keywords/audiences; align ad copy to page promise.
Long time to act, many returns: Add FAQs and next-step clarity; make follow-up obvious.
Traffic grows by 5–10% monthly.
Conversion Rate (CR) sits within your target band and improves after small edits.
Cost per enquiry trends down or remains steady as volume grows.
Most actions happen within a week.
By tracking these metrics and optimising your landing page to improve each stat week by week, you'll enhance the effectiveness of your campaigns and website.
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About the author
I've spent the past decade working as a full-stack digital marketer & web developer in the experience sector. I plan, build, & scale revenue‑driving web experiences across development, SEO, PPC, and lead gen–all data-driven with analytics.
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