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Personas, campaign briefs, risk radars, and crisis simulations — all built from the same WTTC + macro dataset that powers our country reports. Deterministic rules first, AI only writes the narrative. See the actual outputs before you sign up.
Pick a destination + source market. We pull the actual inbound share, spending profile, and macro context for that bilateral flow, then ask Claude to humanise the data into three distinct persona variants — Modal (the typical visitor), Premium (top spenders), and Emerging (the growing segment). Every numeric field is citable; every quote and motivation is synthesised from the data, never invented. Export as PDF, drop into a Lab board, or hand to your campaign team.
Real grounded output rendered from verified WTTC + macro data. Open it in a new tab — no signup, no email gate.
open live demo →Pick a persona variant + business goal (Awareness / Consideration / Conversion / Loyalty) + season. We pull the persona's audience profile, the destination's spending decomposition, and source-market booking patterns, then generate a structured campaign brief: primary KPI with rationale, three positioning headlines, channel mix with budget split, a 3–5 phase timeline, risk register, and measurement plan. Comes out as a deck-ready document — replace the 4-hour brief-writing meeting.
Real grounded output rendered from verified WTTC + macro data. Open it in a new tab — no signup, no email gate.
open live demo →Every Monday at 04:00 UTC we score all 42 destinations across six risk categories: source-market concentration, recovery lag, FX sensitivity, source outbound decline, seasonality, and regional spillover. Severity is deterministic — calculated from the data, not the model. Claude only writes the title, narrative, and mitigation suggestion for each risk. Higher tiers get email digests when severities escalate, and Agency+ gets webhooks for ops integration.
Real grounded output rendered from verified WTTC + macro data. Open it in a new tab — no signup, no email gate.
open live demo →What happens to Türkiye if Russian outbound drops 30% over 12 months? What if the Saudi Riyal moves 15% against the Lira? Pick a destination, pick a scenario type (outbound shock / FX shock / geopolitical event / pandemic / custom), set the magnitude, get a structured impact memo: a 3–5 row impact table (arrivals, GDP, jobs), most-exposed segments, mitigation levers tagged by effort (quick win / medium / structural), and a leading-indicator watchlist.
Real grounded output rendered from verified WTTC + macro data. Open it in a new tab — no signup, no email gate.
open live demo →ChatGPT generates the numbers — we don't. The pipeline runs deterministic rules over verified WTTC + macro data, then asks Claude to write the prose. Same inputs, same output, every time.
| PARAMETER | DATAGREAT AI TOOLS | GENERIC AI ASSISTANT |
|---|---|---|
| Data source | Verified WTTC + IMF/WB datasets | Pre-training cutoff · hallucinated numbers |
| Numerics | Server-side rules · deterministic | Model-generated · unverifiable |
| Citations | Every claim links to a page anchor | None |
| Severity / scoring | Calculated from data, not the model | Subjective · prompt-dependent |
| Outputs | Structured · PDF, Lab embed, webhook, JSON | Free-form text |
| Sustained reliability | Re-runs produce stable results | Drifts between sessions |
“We don't ask AI to predict the data — we let the data predict the answer, and ask AI to write it up.”
No. Every numeric field is computed from WTTC + macro data via deterministic rules. The AI's only job is writing the prose around those numbers. We explicitly forbid it from emitting numbers not present in the data block, and a server-side post-validator nullifies any that slip through.
Categories with insufficient data return an `insufficient_data` badge rather than a fabricated answer. Confidence drops accordingly, and the affected section is flagged so reviewers see exactly where coverage runs out.
WTTC EIR is annual (Q2 each year). Macro indicators (WB / IMF) refresh quarterly. Risk Radar re-runs every Monday at 04:00 UTC — even when underlying figures haven't changed, peer comparisons can move severity bands.
Yes — Personas and Campaign Briefs export as PDF; Risk Radar feeds an optional webhook (Agency+); Crisis Simulations have copy-friendly tables.
Per-tool monthly quotas on top of the existing 5-tier plan ladder. Researcher includes 3 personas + 2 briefs + full Risk Radar; Analyst adds Crisis Sim and email digest; Agency adds webhooks; Institute is unlimited Crisis Sim with custom thresholds. See the pricing page for the full matrix.
AI tool quotas sit on top of the existing 5-tier plan ladder. Same reports per month, same WTTC dataset, plus the AI tool capacity below.
$49 / mo
AI tool quota
3 personas · 2 briefs · full Risk Radar
$149 / mo
AI tool quota
10 personas · 10 briefs · 3 crisis sims · email digest
$499 / mo
AI tool quota
50 personas · 40 briefs · 15 crisis sims · webhooks
$1499 / mo
AI tool quota
250 personas · 200 briefs · unlimited crisis sims
Two-week trial on Researcher. No credit card. All four AI tools live.