Why Customer Effort Score Matters in Vacation Rentals

Imagine a guest trying to book a beachfront villa on your BigCommerce-powered site. They stumble over unclear cancellation policies, a clunky payment page, or slow-loading property images. Every friction point adds to their effort—a concept measured by Customer Effort Score (CES). A lower effort means happier guests, fewer support tickets, and higher lifetime value.

A 2024 Forrester report pegged CES as a stronger predictor of repeat bookings than traditional satisfaction metrics in hospitality. For vacation rentals, where booking complexity and expectations vary widely, CES can highlight pain points invisible in other feedback channels.

But measuring CES isn’t plug-and-play, especially if your tech stack centers on BigCommerce. Below, we’ll walk through practical, actionable steps to set up CES measurement tailored for mid-level growth pros in hotels and vacation rentals.


Pinpoint the Exact Guest Journey Moments to Measure Effort

CES only works when it’s timely and relevant. Start by mapping your guest journey on BigCommerce—from browsing listings, filtering properties, completing checkout, to post-stay follow-up.

Focus on moments where effort spikes could cause drop-offs:

  • Searching and filtering properties (especially with complex filters like pet-friendly, waterfront, or accessible)
  • Booking and payment process (including promo code application, payment method selection)
  • Customer support interactions (chatbots, FAQs, or live agents)
  • Post-booking changes (cancellations, modifications)

Most BigCommerce vacation rental sites use either native checkout or a custom flow with apps like Bookly or Lodgify integration. These integration points are ideal for injecting CES surveys.

Gotcha: Don’t overwhelm guests by asking CES after every step. Pick 2-3 critical touchpoints to keep data meaningful and response rates high.


Choose the Right Method to Collect CES on BigCommerce

You have several options, each with trade-offs:

Method Pros Cons Use Case
Inline survey on checkout page (via apps or custom code) Immediate feedback, high context Requires dev resources, can slow checkout Measure effort during booking
Post-purchase email survey (tools like Zigpoll, Delighted) Easy to implement, automated follow-up Lower response rates, recall bias Measure overall booking effort
In-app chat or chatbot CES questions (e.g., Intercom, Drift) Real-time, conversational Requires chat infrastructure and monitoring Post-support interaction effort

For BigCommerce users, adding a simple inline survey after payment confirmation can be done with minimal dev effort. For instance, Zigpoll offers scripts that can embed directly with BigCommerce theme customization.

Edge case: If your checkout is heavily customized or via external booking engines, inline surveys might break user flow or be technically tricky. Email surveys may be safer but watch for delayed feedback.


Implementing an Inline CES Survey in BigCommerce: Step-by-Step

  1. Identify your survey question and scale: CES is often measured with “How much effort did you personally have to put forth to handle your request?” rated from 1 (very low effort) to 7 (very high effort).

  2. Choose a survey provider: Zigpoll, Delighted, and Medallia are popular options. Zigpoll’s integration with BigCommerce is straightforward.

  3. Add survey script in your BigCommerce theme:

    • Access your BigCommerce admin panel
    • Go to Storefront > Script Manager
    • Add a new script in the footer to ensure it fires after page load
    • Insert your Zigpoll or other survey provider’s embed code targeting the order confirmation URL (e.g., /checkout/order-confirmation)
  4. Trigger the survey on order confirmation page: This ensures the guest just completed booking, so effort is fresh in mind.

  5. Test across devices and browsers: Mobile responsiveness is critical, especially for vacationers booking on the go.

  6. Set up backend reporting and notifications: Connect your CES data to your CRM or analytics tool. Export CSVs regularly or use API integrations.

Gotcha: Because BigCommerce themes vary, some may require placing code in specific template files for consistency. Avoid adding scripts in the header as it might slow loading or conflict with other checkout scripts.


Using Post-Purchase Email Surveys to Measure CES

Sometimes inline surveys aren’t possible, especially if you want to measure effort not only during booking but also during post-booking support.

Here’s how to set this up:

  • Use tools like Zigpoll or Delighted to automate CES emails triggered post-purchase.
  • Customize your email to explicitly mention the booking reference and the question, e.g., “How much effort did you have to put in to complete your booking or resolve any issue?”
  • Time your email 24-48 hours after checkout, giving guests time to reflect but not so long that they forget.
  • Make the survey mobile-friendly and short—only one CES question plus an optional comment box.

Limitations: The delay risks response bias; guests may forget nuances of effort. Also, response rates tend to hover around 10-15%, so consider incentives like small discounts for completion.


Monitoring CES After Customer Support Interactions

For vacation rentals, interactions with support—whether about check-in instructions, Wi-Fi issues, or last-minute cancellations—can be effortful.

If you use chat tools like Intercom or Zendesk integrated with BigCommerce:

  • Embed a CES question at the end of each support chat or ticket closure.
  • Ask “How easy was it to get your issue resolved?” with a 1-7 scale.
  • Automate follow-up with unhappy responders to dig deeper.

This method tracks effort beyond booking, giving a fuller picture of guest experience.

Note: Not all guests contact support, so this data subset may skew toward more problematic cases. Balance it with booking flow CES.


Avoid Common Pitfalls When Measuring CES

  1. Survey fatigue: Don’t bombard guests. One or two well-placed CES questions beat multiple redundant surveys.

  2. Ignoring segments: Different guest types (families vs. business travelers) may perceive effort differently. Track CES by segment using BigCommerce customer tags or CRM data.

  3. Failing to act on results: Collecting CES isn’t enough. Set up workflows for frontline teams to flag high-effort cases and fix root causes quickly.

  4. Misinterpreting data: CES is subjective. Combine it with objective metrics like booking completion rates and support ticket volume.

  5. Technical incompatibility: BigCommerce custom themes or third-party apps can conflict with survey scripts. Always test in staging environments first.


Quick Wins: Low-Effort Tactics to Start Measuring CES

  • Add a simple Zigpoll survey widget on your BigCommerce order confirmation page. Takes 15 minutes and zero coding if you follow documentation.
  • Send a follow-up CES email using Delighted after booking confirmation.
  • Train customer support agents to ask a quick CES question post-resolution via chat or phone.
  • Use BigCommerce tags to segment guests by booking type and compare CES scores.

One vacation rental company I worked with implemented an inline CES survey and found their payment page was the biggest friction point. After simplifying payment options and fixing a mobile UI bug, their CES improved from 5.8 to 3.2 (on a 7-point scale), and booking completion rose 7% in two months.


Measuring Improvement and Closing the Loop

Measuring CES is just the start. To see ROI:

  • Track CES trends over time (weekly or monthly) and correlate with booking funnel conversion rates.
  • Analyze qualitative feedback from comments to identify specific pain points.
  • Prioritize fixes that reduce effort in high-volume guest segments.
  • Share CES results with product, marketing, and support teams to align improvements.
  • Automate alerts for CES scores above a threshold (e.g., >5) to prompt quick action.

Remember: CES improvements typically show results in less than 90 days if acted upon. If scores stagnate, it’s a sign your measurement method or customer touchpoints need re-examining.


Summary Table of CES Measurement Methods for BigCommerce Vacation Rentals

Measurement Point Method Ease of Setup Data Depth Risks/Limitations
Booking completion Inline Survey (Zigpoll) Medium (script add) High (immediate) May impact page load, theme conflicts
Post-booking reflection Email Survey (Delighted) Easy Medium Low response rate, recall bias
Support interaction Chatbot CES (Intercom) Medium Medium Skewed sample, needs monitoring

Tracking Customer Effort Score on BigCommerce doesn’t have to be a heavy lift. Start small with inline surveys or post-purchase emails, then build out more touchpoints as you identify where guests struggle most.

Be ready to experiment, test, and fix the issues that increase guest effort. Your bookings, repeat stays, and guest reviews will thank you.

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