A sample Digital Signal

In this snapshot, the client’s site is the primary estate and its closest competitor is the benchmark. Both sell holidays to the same customers, and on the surface their sites look alike.

The strategic picture

Neither site is broken. Both are well built and support the research and inspiration journey. The client holds a consistent edge in performance, content architecture and structure. The competitive gap sits in precision and activation.

The clearest opportunity is personalisation, the one area where neither company has committed.

• Personalisation and data readiness: both companies have built the infrastructure, and neither uses it to change what a visitor sees. The client’s favourites feature is the one mechanism that captures explicit intent.
• Performance: the client’s site loads faster and stays steadier. The competitor’s animations and visible image loading work against a premium position.
• Generative engine optimisation: both structure content well for machines. The client applies that structure more consistently.

Sites reveal their priorities and constraints through the decisions made about content, architecture and journeys. We sampled the key page types on both sites (landing, listing, detail and editorial), used them as a customer would, and read the patterns across them.

We assessed three lenses: personalisation and data readiness, performance through Core Web Vitals proxies, and generative engine optimisation.

Performance is assessed by direct observation, as proxies for Core Web Vitals: what renders first, what delays interaction, and what moves. Lab and field scores compress experience into a number; a comparison of how two sites feel to use shows whether performance separates them in ways customers notice.

Both sites have the foundations for personalisation: consent management, a data layer, tag management, rich metadata and a segmented content model. Neither uses them to adapt what a visitor sees. The gap is one of activation, and both companies share it.

The client’s favourites feature is a real advantage, and a narrower one than it looks, because the site acts on it inconsistently. The opportunity is to move first: use the intent customers already express to shape the destinations and itineraries they see, before the competitor builds an equivalent.

Whether favourites data reaches the systems that decide what each page shows, and what holds it back.

Both sites are usable, and neither has a problem serious enough to damage the journey. The client’s site feels faster, steadier and closer to what a premium travel customer expects.

For the client, the priority is to protect the advantage: keep animation and third-party scripts out of the critical path as the site evolves. The competitor’s issues are individually minor; together they make its site feel less refined.

Both sites organise content around destinations and traveller types. The client’s architecture is more consistent: itinerary pages open with highlights and an inclusions list before the day-by-day detail, and page hierarchy follows the same order on every destination. The competitor’s structure loosens below the first heading level, at the itinerary layer, where machine interpretation matters most commercially.

In a sample of AI answers to family holiday questions, the client was cited as a source and the competitor was not. For a question about travelling in comfort, both were named.

Neither site says who a trip is best for. Adding that framing to itinerary and destination pages is open to both companies, and the client’s consistent structure makes it the quicker of the two to do it well.

• More competitors, and more lenses: first impressions and conversion, SEO foundations, accessibility, and market context
• For each lens, where the client is winning, where there is no clear difference, and where it is falling behind
• Recommendations prioritised now, next and later, with indicative effort
• The platform and operating implications behind the signals