Sponsorship Sales — Sell Sponsorships with Audience Proof

Use Case 1 · Know Your Fans

A 360° picture of your audience — worldwide.

Which topics do your fans actually care about? What is their demographic profile? Where do they live — by country, region, city, down to postal code level? Rascasse answers this from 500,000+ data points across 200+ countries of real behavioral data. No panels, no surveys, no tracking of your own fans.

Audience Composition — FC Rascasse

Rascasse audience composition dashboard showing top interests and topics of FC Rascasse fans

⚠ Illustrative example — fictitious data for demonstration only

What you see: the complete, ranked topic list for FC Rascasse fans — each data point with audience overlap (e.g. 2.8M), affinity score (1.78x), country share, demographics and a 4-year search trend. Filter by category, type, subtype or your own lists; the AI insight at the top summarizes the strongest clusters for you.

Demographics — Baltimore Rockfish

Age and gender distribution of the Baltimore Rockfish audience

⚠ Illustrative example — fictitious data for demonstration only

What you see: age & gender split versus the country average (UN population data) — Rockfish fans are 68% male and over-index 4.4x at 16–19. Below it: kids in household, city types and psychographics. Every chart exports to CSV, XLS, PNG and PPT.

Geography — FC Rascasse

Postal-code heatmap showing where FC Rascasse fans are located across Germany

⚠ Illustrative example — fictitious data for demonstration only

What you see: the postal-code heatmap of 4M FC Rascasse fans in Germany. Top cities ranked by audience size with affinity index, an AI insight naming the strongest postal codes, and a toggle between audience size and affinity view — the argument for every regional sponsor.

Use Case 2 · Find Sponsors — By Industry

Scan 800+ industries
for whitespace.

800+

industries in the IAB taxonomy — industry groups as interactive bubbles, with drill-down to every individual industry.

relevance tiers plus an endemic filter that separates obvious categories from surprising whitespace.

1 deck

is all it takes to approach a whole vertical at once — every financial services company with one pitch.

The industry lens is the right tool when the category is bigger than any single brand — think heat pumps or retail banking.

Industry Fit — FC Rascasse

Industry Fit Portfolio bubble chart mapping IAB industries against the FC Rascasse audience

⚠ Illustrative example — fictitious data for demonstration only

X axis

Average overlap per data point — how much audience you share with the industry.

Y axis

Average affinity — how strongly your fans over-index on it.

Top right

High affinity, high shared audience, rarely pitched: your whitespace.

Use Case 2 · Find Sponsors — By Brand

50,000+ brands.
Any missing brand in 24 hours.

50,000+

brands in the database, ranked by affinity to your audience, overlap, YoY growth, seasonality and regional strength — including whether a brand already sponsors a club or league.

24 h

to onboard any brand in the world that isn’t in the database yet. You will not find that anywhere else.

1 list

of A-priorities — star favorites as you go and jump straight into the overlap analysis.

Filter by strategy: global players, regional champions, high-growth challengers, seasonal brands.

Partner Discovery — Baltimore Rockfish

⚠ Illustrative example — fictitious data for demonstration only

Sponsorship Score

Affinity × overlap × growth, 0–100 — the default ranking of all 16,823 matches.

Strategy presets

From global brand to seasonal activation — one click narrows the field.

Favorites

Star your A-priorities into a pitch-ready shortlist as you browse.

Use Case 3 · Pitch With Proof

Decks that argue with data — in your club’s look.

Horizontal charts — audience header, region split, psychographics — tell your property’s story to any sponsor, independent of who is sitting across the table.

Core metrics on one slide: audience size, country share, worldwide reach and search-volume trend — the numbers every pitch opens with.
Seasonality & demographics: when your audience peaks and how it splits by age and gender — the planning facts sponsors ask for first.
Top interests as logos: the brands and themes your fans already love — instant talking points for any sponsor category.

One property story — told consistently across every deck you send out.

Audience Story — FC Rascasse

Audience header with core metrics, search trend and seasonality for FC Rascasse

⚠ Illustrative example — fictitious data for demonstration only

What you see: the property story on one screen — audience size, country share, worldwide reach, search-volume trend (+23.9% y/y), seasonality by month, gender split and average age, plus the top relevant interests of the fanbase.

Use Case 3 · One Page Per Sponsor

Every pitch gets its own overlap proof.

Vertical charts are built per sponsor: the overlap page shows exactly how many fans you share with one specific brand, who they are — and what that makes your property worth to exactly this sponsor.

Shared audience as one number: 555K shared fans at 1.35x affinity — the value of your property for exactly this brand.
Venn & YoY trends: how the overlap develops over time — growth is a renewal argument, not just a snapshot.
Analyst insight included: the interpretation is pre-written — ready to drop straight into the pitch mail.
Any brand in 24 hours: the counterpart isn’t in the database yet? It is tomorrow.

Every pitch shows the sponsor what only your property can deliver.

Sponsor Overlap — FC Rascasse × Brand

Overlap analysis between the FC Rascasse audience and the Adidas audience

⚠ Illustrative example — fictitious data for demonstration only

What you see: the per-sponsor page. Among 4M FC Rascasse fans, 555K are also into Adidas — affinity 1.35x above the national average. Venn diagram, YoY trends and an analyst insight, ready to drop into the pitch deck. “Change” swaps in any of the 50,000+ brands.

Use Case 3 · White-Label & Batch

Your colors. Hundreds of charts. One click.

Every chart renders in your corporate design — your colors, your look — and exports in batch. Build a complete pitch deck without downloading hundreds of charts by hand.

Your CI, automatically: primary, secondary and accent colors are set once in the profile — every chart follows, in light and dark.
Deck builder: collect charts across dashboards into a cart and export one complete PowerPoint — server-rendered, presentation-ready.
PPT, PNG, CSV & XLS: every chart carries its own export bar — slides for the pitch, raw numbers for the media plan.

From data to a branded deck in minutes — not an afternoon.

White-Label — Same Chart, Your Colors

The same Rascasse chart rendered twice: in default colors and in Baltimore Rockfish club colors

⚠ Illustrative example — fictitious data for demonstration only

What you see: the identical chart in two skins — Rascasse default (top) versus Baltimore Rockfish gold & navy (bottom). Colors and theme switch via profile setting; every chart and every export follows automatically. No design team required.

Use Case 4 · Activate

Give the partnership
a shared story.

Rascasse profiles both sides — your audience and the sponsor’s — plus the overlap: the fans who love both. What excites both audiences becomes activation material: shared topics for co-branded content, shared people as ambassador candidates, shared media channels for joint campaigns, and the regions where both are strong for local activations.

Instead of “logo on shirt”, the partnership gets a data-backed creative brief from day one.

Shared Audience — Baltimore Rockfish × Brand

Psychographic comparison between Baltimore Rockfish fans and the Gatorade audience

⚠ Illustrative example — fictitious data for demonstration only

What you see: the psychographic radar of Rockfish fans versus the Gatorade audience across 30+ behavioral traits, grouped into clusters like Premium, Balance, Joy and Conservatism — with a trait selector to customize the profile. Where both sides over-index is where co-branded campaigns land, and the AI insight writes the first draft of the creative brief.

Use Case 5 · Prove Impact

Measure real impact —
not logo seconds.

Logo visibility tells a sponsor they were seen. We show whether fans searched for the sponsor and followed it on TikTok and Instagram — monthly, before / during / after the deal, and broken down to the individual matchday: which game moved the needle most?

Every effect is benchmarked against the sponsor’s competitors, so seasonality and category trends are stripped out. And the same data tells you when to launch a fresh mid-season campaign to re-energize the deal.

Open the live sample report →

Sponsor Impact — FC Rascasse

Share-of-search development of a sponsor before, during and after the sponsorship, benchmarked against competitors

⚠ Illustrative example — fictitious data for demonstration only

What you see: the sponsor detail from the live impact report — +36.6% search volume year over year, 9.7% share of search, and the monthly trend versus the two biggest competitors with a season-start marker. Filterable by search intent: brand, acquisition (“bonus”) or usage (“app”) searches.

Matchday Drill-Down

Matchday-level analysis with placebo test showing on which game days sponsor interest peaked

⚠ Illustrative example — fictitious data for demonstration only

What you see: weekday-controlled search lift across all 54 matches of the season — including a placebo test against non-sponsoring competitors as the control group. A lift only counts as a sponsoring effect if the control group doesn’t spike too.

Renewal Argument

“Search interest in your brand grew measurably among our fans — while your competitors stayed flat.”

That is the sentence that wins renewal negotiations — and it comes straight out of the report.

Why Rascasse

Most sponsorship tools measure something else.

Exposure trackers, panels, listening platforms and follower stats each measure something — just not whether your audience actually cares.

GDPR by design No integration project First report in week one 200+ countries

Logo tracking

measures visibility. We measure effect.

Exposure tools count the seconds a logo was on screen. We show whether anyone actually cared — searched, followed, engaged.

Panels & surveys

ask a sample. We measure behavior at scale.

Modeled full coverage from real behavioral signals instead of what a few thousand respondents say they do.

Social listening

shows conversations. Not your audience.

Knowing what is being talked about is not the same as knowing who your fans are, what they buy, and which brands they love.

Follower statistics

show who follows you. Not who your audience is.

Your commercial audience is bigger than your follower base — and only the audience itself can be matched against 50,000+ sponsor brands.

FAQ

The questions that otherwise land in the sales call.

01 Is Rascasse GDPR-compliant?

Yes. Rascasse works with aggregated behavioral data — no personal data, no tracking of your own fans, no cookies on your properties. GDPR by design.

02 We already have social media statistics. Why do we need this?

Followers show who follows you — not who your audience is, what they buy, or which brands they love. Rascasse profiles the audience itself: interests, demographics, regions, and the measurable overlap with any potential sponsor.

03 How fast can a sponsorship sales team get started?

There is no integration project. Access, an onboarding call, and your first report within the first week. If a brand you want to pitch is missing from the database, it is added within 24 hours.

04 Does this work outside of sports sponsorship?

Yes. The same audience and overlap analysis works for culture, music, festivals, venues and events — wherever an audience can be measured, sponsorship value can be proven.

05 What does Rascasse cost?

Rascasse is available as a subscription or as a one-off project. Packages and pricing models are published openly on our pricing page — so you can qualify the budget before the first call.

Show sponsors, in numbers,
what your audience is worth.

Media kits don't convince
CFOs anymore.

Everything a sponsorship sales manager does — with data behind it.