Six analytical modules, each built on real venue menu data. Here's what they extract, what they reveal, and what changes operationally.
Menus say "Espresso Martini", not which coffee liqueur. Spirit brands inside cocktails are invisible - unless you decode each ingredient slot.
Target venues where your spirit category is poured but your brand isn't specified. Convert "unknown" slots into activation targets.
| Ingredient | Role | Status |
|---|---|---|
| Vodka | Base spirit | 93% unspecified |
| Coffee liqueur | Liqueur | 95% unspecified |
| Espresso | Mixer | On menu |
| Simple syrup | Sweetener | Implied |
You know your brand is in 194 venues. You don't know that your competitor is in 247, priced 15% lower, in the same cities. Venue-level comparison changes the conversation.
Competitive displacement becomes targeted. You know exactly which venues to approach, what they currently list, and at what price.
| Metric | Your brand | Competitor | Gap |
|---|---|---|---|
| Venues | 194 | 247 | -53 |
| Avg price | EUR 11.50 | EUR 9.50 | +21% |
| Amsterdam | 67 | 89 | -22 |
| Rotterdam | 28 | 41 | -13 |
| Overlap venues | 112 venues carry both | ||
New ASM starts Monday. Territory has 1,200 venues. Without prioritization, the first month is wasted on random visits.
Territory plan on day one. Field team starts with the highest-impact targets, not a spreadsheet of 1,200 addresses.
Not every venue is your venue. A cocktail bar and a sports cafe have different needs, different menus, different brand expectations. Targeting without profiling wastes field time.
Filter targets by venue profile. Send premium brands to cocktail bars, not to cafeterias. Match brand positioning to venue reality.
You won the listing. Three months later, the menu changed. Without ongoing monitoring, you don't know until the next field visit - if there is one.
React to menu changes when they happen, not months later. Protect existing placements and spot competitive moves early.
Request a sample report for your brand or category. We'll show you exactly what the data looks like.