The property's own enquiries list contains twelve entries up to the middle of the month. In the previous full month there were twenty. “Demand has collapsed” would be a quick but unsustainable headline. The different observation periods alone prevent that conclusion. Before the editorial team explains a trend, it must make the compared time windows comparable or openly state their differences.
This article uses its own fictional numbers and simple arithmetic considerations. It does not describe a current development in Austria or Germany and not any official method for seasonal adjustment. The recommendations apply to small internal overviews whose selection and recording have been clarified in advance. An internal enquiries list is not a complete property market.
First define the event and its timing
What counts as an enquiry: a new concrete contact, every message in the conversation, or a case classified as suitable? This definition must be the same for both periods. Otherwise a changed processing routine can easily be mistaken for a changed demand.
Also determine which date is to be assigned. The receipt of a message and its later processing are different points in time. If one period is counted by receipt and the other by processing, the curve is not directly comparable.
Our example counts newly received cases assigned according to the same rule. Further messages concerning the same case are not interpreted as additional new demand. The assignment rules are described internally; personal data are not required for the published overview.
Label ongoing and completed periods
Twelve cases up to the middle of the month are described as an interim result. The previous month value of twenty is a completed internal count under the assumed rules. Both can be shown side by side if the different coverage is made clear. An automatic percentage change between them would be of little use for the intended statement about development.
A better initial comparison can be the same elapsed partial window in the previous month. Even then, differences remain: different weekdays, public holidays, school holidays, stock of offers or recording issues. A window of the same length makes the question clearer; it still does not prove full comparability.
If appropriate earlier partial values are missing, the gap is stated. It is not closed by an invented curve. An honest interim report can be entirely sufficient if no statement about development is yet possible.
Distinguish a projection from an observation
Assume that twelve cases have been counted up to the fifteenth day. In an entirely hypothetical month of thirty days a simple doubling would give twenty-four. The calculation is arithmetically comprehensible, but it contains the assumption that the second half will bring the same number of cases.
This equal distribution is not proven by the first twelve cases. A scheduled internal appointment, a pause or new offers can influence the further course differently. Twenty-four should therefore at most be presented as a conditional calculation scenario, not as an already determined monthly value.
For an ordinary editorial report it is often better to wait until the period is completed. If there is a real need for ongoing planning, observation, assumption and the calculated scenario are presented in three separate lines.
Consider the opportunity to enquire
Even for completed months the figure cannot be read independently of the offering. Were twenty properties visible or only four? Was there a special campaign? Was the contact channel changed? Such differences are possible explanations, not automatically proven causes.
An additional metric per property can answer a different question, but it does not resolve all differences. The properties may have been visible for different lengths of time, in different locations or described very differently. Do not divide the case number indiscriminately by a randomly selected current stock.
In the example the editorial team merely notes that its own offer volume has changed. If the data are insufficient for a suitable ratio, no seemingly adjusted metric is created. A described limitation is more helpful than a computationally decorated conjecture.
Treat season as a question rather than a convenient explanation
“In summer it is always like this” is not a statement supported by two months of data. A comparison with the same period in a previous year can provide an additional perspective if data collection and selection were similar. It neither eliminates all calendar differences nor other influences.
For our small example no seasonal curve is estimated. The editorial team can instead write that a possible calendar influence remains open with the available internal data. An official or external seasonally adjusted series would have to be researched separately with its actual method and its country reference.
Avoid likewise aggregating regional data from Austria and Germany merely because the month names are the same. Period, event definition and the recorded stock must match substantively. If the basis is lacking, they remain separate observations.
Draw a limited yet useful conclusion
An appropriate internal report reads: “Up to the fifteenth day twelve new cases have been recorded according to our rule; a complete month-on-month comparison is not yet available.” This is accompanied by known changes to one’s own offer and the next date for a renewed review.
After the end of the month the same definition is used to add what was actually observed. An earlier scenario remains recognisable as the assumption at that time and is not rewritten retrospectively into the prediction record. The result is a comprehensible time comparison, not a guaranteed explanation of the market.