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Seasonality & Timing · for brands, rights holders and media
Be there when it matters. Month, weekday, hour.
Every audience has its months. Rascasse shows when interest peaks, whether you have a Christmas business, which rights holders peak at the same time and which topics you can own then. On request down to weekdays and hours.
- Monthly for every audience
- Weekday and hour on request
- Matching partners
Used by brands, agencies, media and rights holders
How we read the signals
Your audience’s calendar. Built from behaviour.
Monthly search and engagement patterns for any audience, years back, compared year by year.
- Months: when interest peaks and dips
- Partners: rights holders and topics peaking at the same time
- Weekday and hour: morning or evening, weekday or weekend, on request
What slows you down
Campaigns on the company calendar
Money is spent when nobody is looking.
Is your audience even in a Christmas mood?
Sponsoring a property that peaks when you do not.
Posts at the wrong time of day.
When your audience pays attention
Season overlay: each year as a line, so recurring peaks stand out from one-offs.
Partners and topics for each peak
Match your peaks with rights holders that peak at the same time, and with topics that become popular then.
Rascasse inside Claude and ChatGPT
Connect Rascasse to your AI assistant through MCP and plan timing in conversation.
- Works with Claude, ChatGPT and other MCP clients
- Any audience, any market
- Available as part of your agreement, API included
Monthly share of interest:
| Month | Share |
|---|---|
| June | 16.4 % |
| May | 12.2 % |
| August | 12.2 % |
| December | 3.2 % |
A summer audience: no Christmas business, but a strong May to August.
What you get
Timing that works
Start small
Start with a Proof Case
Your audience in one market: monthly pattern, seasonal partners and topics, weekdays and hours. A fixed scope and a fixed price, presented to the people who decide, and credited against the Annual fee if you continue.
Seasons do not wait. Plan the next peak now.
Questions
Before you ask
Weekdays and hours?
Yes, on request, for audiences with enough signal.
Where does the data come from?
From AI-based analysis of aggregated digital behaviour signals, not surveys: what people search, follow, watch and listen to, aggregated and anonymous. No panels and no questionnaires.
Is this personal data?
No. We work with aggregated signals only: no names, no e-mail addresses, no individual profiles.
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