How to Build a Restaurant Sales List (2026): 3 Patterns and CVR Tips

If you sell anything to restaurants — POS systems, food wholesale, customer-acquisition support, recruitment media, interior construction, equipment leasing — having a good list is directly tied to your win rate. But restaurants have a high closure rate, and it's not unusual for more than 10% of a list to be non-functional within six months.

This article works from one premise — the way you build the list changes depending on what you sell — and walks through three representative patterns with hard numbers.

The right list shape depends on what you're selling

Pattern 1: a list for pitching POS / reservation systems

Your buyers are restaurants with 20+ seats and an average check of ¥3,000 or more. Formats with a check too low (fast food, food-court tenants) tend to roll out POS centrally from headquarters, so an individual-store approach doesn't land.

Designing the filter keywords

• Category queries: "izakaya", "Italian", "teppanyaki", "yakiniku", "kappo", "French"
• Location queries: prioritize high-check areas like Ginza, Akasaka, Roppongi, Ebisu, Naka-Meguro
• Recommended exclusions: "standing bar", "ramen", "curry", "set meals" (low check, turnover-focused, weak motivation to swap out POS)

Pattern 2: a list for food wholesale / commercial alcohol

For commercial ingredients, "format × purchasing scale" is decisive. Selling meat to a sushi restaurant, or premium sake to a ramen shop, lands nowhere. Conversely, narrow the format down and you can close 5-10 deals out of a 100-record list — it's the most efficient way to sell.

Pattern 3: customer-acquisition support — filter to restaurants open under 6 months

A just-opened restaurant carries the single biggest worry of all — "we can't draw customers / we can't predict foot traffic" — and is the segment most likely to order gourmet-site listings, web ads, or outsourced social-media management. After six months, regulars settle in and the incentive to order drops, so freshness within six months is everything.

Five filtering techniques to sharpen list accuracy

1. Subdivide the format — not a broad bucket like "yakiniku" but "Korean yakiniku", "A5-grade yakiniku", "hormone grill"
2. Limit to 50+ Google reviews — restaurants with no reviews are hard to confirm as actually open
3. Extract only restaurants with opening hours listed — closed restaurants don't get updated
4. Judge "activity level" by whether the official site or Instagram was updated within the last 3 months
5. Separate owner-operated (no corporate entity) from incorporated (Co., Ltd. / Ltd.) and call whoever holds decision authority

Email subject lines and phone scripts that double your appointment-setting CVR

Restaurant owners field dozens of sales calls a day. Generic subject lines like "Greetings", "An introduction", or "A great offer" go unopened 99% of the time.

Avoiding the "closed-business list" problem

Restaurants close at a rate of 10% in one year and 30% in three. Keep using an old list and your appointment rate falls linearly — and worse, when "restaurants no longer in business" are mixed into your dialing, operator morale drops too.

Real example: building a 100-record list of Tokyo restaurants in 3 minutes