Consumer knowledge graph · investment platform market entry

Anonymised demonstration of a real Latenta engagement — consumer segmentation and market-entry study for a challenger investment platform (Southeast Europe; CAWI, n = 2,010, 2026). Client identifiers removed; all figures are real.
Poglavlja: Link strength: sve (≥1,12×)
Closer to the centre = stronger over-index vs the population average · dot size = prevalence in the segment · up to 18 sharpest traits shown
Values are percentages within each segment; colour shows the relation to the population average (NET): blue = above average, orange = below average. An arrow marks an index ≥ 1.3 or ≤ 0.7 with a statistically significant difference (FDR 0.1, technical report).
Compare: vs

First-year what-if simulator

Deterministic model on measured quantities: users = segment size × reach × (intent ‘will’ × conversion + ‘maybe’ × conversion); AUM = users × average first deposit; revenue = AUM × platform take. Move the sliders — everything recomputes instantly. Bars use a fixed scale (full bar = the ambitious scenario of the largest segment), so each bar rises and falls with its own number.

Survey intent overstates behaviour (the intention–behaviour gap) — that is exactly why the conversion sliders exist and default to conservative values. The central scenario lands in the study’s projected first-year revenue band (€1.5–3.5M). A navigation tool for discussing assumptions, not a business plan.