Turn travel shopping data into competitive intelligence.

MyEscapePlan turns controlled traveller scenarios into structured travel shopping data: what was available, at what price, for which traveller need and against which realistic alternatives.

Launch product

Competitive Shopping Audit

A one-off competitive shopping study rather than another dashboard.

Planned deliverable

Decision memo + evidence appendix + reproducible scenario data + executive recommendations.

Public case studies will publish once the methodology and benchmark are ready.

The question

When travellers shop the alternatives, where does your destination win or lose?

Traditional tourism analytics describes demand. MyEscapePlan adds controlled travel shopping data that tests how destinations perform when realistic traveller scenarios are shopped against realistic alternatives.

As AI travel agents generate more automated shopping activity, structured shopping observations can also become a market- intelligence asset: not just what travellers searched for, but what inventory was available, at what price and against which alternatives.

Competitive set coverage

Build a high-recall set of realistic alternatives before comparing the target on observed product economics.

Market differences

Show where competitive position changes by origin, budget, trip length, traveller need, season and date window.

Product competitiveness

Compare actual flight access, price, availability, accommodation and complete-trip economics where supported.

Planned audit dimensions

Controlled traveller scenarios, aggregated into actionable intelligence.

The initial product will focus on a falsifiable shopping benchmark, with external demand signals such as Keyword Planner and Google Trends used as calibration rather than as a substitute for shopping observations.

High-recall competitive alternative set

Observed flight access, price and availability

Observed accommodation and product economics

Complete-trip cost where supported

Primary competing destinations

Origin-market differences

Budget, trip-length and date-window differences

Traveller-segment differences

Independent demand-signal calibration

Initial customers

Best suited to organisations making destination and market decisions.

Destination organisations

DMOs, city tourism organisations and smaller destinations that need a clearer view of their competitive short-break position.

Airports and airlines

Understand underserved traveller demand, route competitiveness and where the current network performs poorly.

Tour operators and larger travel groups

Evaluate which intents, markets and trip propositions are poorly represented in the current programme.

Coming soon

Shopping Intelligence will launch with a published methodology and case-study benchmark.

The first public examples will be released only once the audit can distinguish shopping observations from external demand proxies and report uncertainty clearly.

MyEscapePlan Travel Intelligence

Travel discovery infrastructure for reducing search fan-out, plus travel shopping data and market intelligence.

MYESCAPEPLAN LTD · Company no. 16395758 · Registered in United Kingdom

Discovery API is available now. Destination & Market Shopping Intelligence is coming soon.

Shopping Intelligence case studies will publish when the benchmark and methodology are ready for public release.

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