Cross Analysis

Where the demand dimensions meet. All figures are associations within the same dataset — none of them establish cause.

What the data says

Generated from the records currently in scope — observation, why it matters, and the decision it points to. Nothing here is written in advance; every figure recomputes on the next upload.

Who the demand is

Calculatedn = 2,262

Observation: Of 2,262 enquiries with a budget, 24% are premium (median EUR 1,148), 61% core (median EUR 700) and 15% price sensitive (median EUR 400). Premium enquiries stay 0.5 months shorter than price-sensitive ones (5.9 against 6.5 months). Premium demand concentrates in Munich.
Interpretation: The premium segment pays EUR 448 more per month than core demand. It is a 24% slice, which caps how much of the scheme can be built against it.
Investment implication: Size the premium product to roughly 24% of beds, weighted to Munich, and hold the remainder at the core median of EUR 700. Pricing the whole scheme at the premium median would leave 76% of stated demand unaddressed.

Budget level and spread

Calculatedn = 2,262

Observation: 2,262 enquiries state a budget. The median is EUR 700 per month, the middle 50% run from EUR 500 to EUR 950 (a spread of 64% of the median), and the top 10% start at EUR 1,200.
Interpretation: The middle half spans EUR 450, so this is not one homogeneous demand pool but at least two: a price-led group below EUR 500 and a group willing to pay above EUR 950. A single rent point serves one of them and taxes the other.
Investment implication: Price the standard product at or just below EUR 700, where 56% of stated budgets still qualify, and take the upper band with a distinct premium unit type instead of a blanket uplift.

Budget by intended stay length

Across 2,224 leads the correlation between stay length and stated budget is r = -0.08 (r runs from -1 to +1; values near 0 mean no relationship).

Calculatedn = 2,224

6 rows

Stay length	Valid budgets	Median budget	Upper budget range (top 25% starts here)	EUR 1,000+
under 3 months	475	EUR 800	EUR 1,000	29.5%
3–<6 months	669	EUR 750	EUR 900	22.6%
6–<9 months	260	EUR 700	EUR 900	20.4%
9–<12 months	556	EUR 700	EUR 1,000	26.4%
12–<18 months	135	EUR 680	EUR 800	18.5%
18+ months	129	EUR 600	EUR 800	16.3%

Budget by intended move-in month

Whether demand arriving in the peak months states different budgets from off-peak demand.

Calculatedn = 2,262

21 rows

Move-in month	Valid budgets	Median budget	Upper budget range (top 25% starts here)	EUR 1,000+
Jun 2026	5	EUR 500	EUR 800	0%
Jul 2026	65	EUR 800	EUR 1,000	32.3%
Aug 2026	176	EUR 800	EUR 900	21.6%
Sep 2026	639	EUR 700	EUR 1,000	27.2%
Oct 2026	885	EUR 700	EUR 900	23.7%
Nov 2026	243	EUR 700	EUR 900	17.3%
Dec 2026	60	EUR 650	EUR 900	20%
Jan 2027	74	EUR 750	EUR 1,000	32.4%
Feb 2027	35	EUR 700	EUR 900	22.9%
Mar 2027	30	EUR 640	EUR 800	10%
Apr 2027	18	EUR 675	EUR 800	16.7%
May 2027	5	EUR 800	EUR 900	20%
Jun 2027	1	EUR 500	EUR 500	0%
Jul 2027	1	EUR 700	EUR 700	0%
Aug 2027	5	EUR 800	EUR 1,400	40%
Sep 2027	10	EUR 800	EUR 1,000	40%
Oct 2027	5	EUR 650	EUR 800	0%
Jan 2028	2	EUR 1,050	EUR 1,175	50%
Apr 2028	1	EUR 450	EUR 450	0%
Oct 2028	1	EUR 500	EUR 500	0%
Feb 2030	1	EUR 750	EUR 750	0%

Budget by booking lead time

Correlation between days-to-move-in and stated budget is r = 0.00 (r runs from -1 to +1; values near 0 mean no relationship) across 2,262 leads.

Calculatedn = 2,262

6 rows

Lead time	Valid budgets	Median budget	Upper budget range (top 25% starts here)	EUR 1,000+
< 14 days	573	EUR 700	EUR 900	23.2%
14–29 days	544	EUR 750	EUR 913	23.7%
30–59 days	656	EUR 700	EUR 913	23.6%
60–89 days	265	EUR 800	EUR 1,000	27.9%
90–179 days	163	EUR 700	EUR 950	24.5%
180+ days	61	EUR 700	EUR 800	19.7%

Room size against budget by location

Across 17 locations, demand-weighted room size and median budget correlate at r = 0.11.

Calculatedn = 17

Search volume against budget by location

Volume and price level move together at a correlation of r = -0.09 (r runs from -1 to +1; values near 0 mean no relationship) across 17 locations — high-volume markets are not automatically high-budget markets.

Calculatedn = 17