Caterer Database of Montana Latest August 2026 Updated

Skeptical at first, given the price. Imported into HubSpot in two clicks, every column mapped automatically. Bought it to support a caterer rollout in United States. Money well spent.

Wanted a United States list with verified phones. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for a United States-focused caterer territory cut. Renewed for another quarter already.

Tried three vendors before this. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it as part of a wider caterer expansion into United States. Wished a few smaller towns had been included.

Loaded the file the morning we got it. Google rating column came included, which we hadn't expected. Bought it to underpin a United States caterer campaign. No complaints from the field reps.

Tried three vendors before this. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it while building a caterer prospecting workflow for United States. Renewed for another quarter already.

First impression after the download: Catchment overlap with our existing CRM was minimal — almost all net-new leads. Sales team is happy.

Field-tested by my team. Lat/long landed every pin on the right storefront in Mapbox. Bought it for United States's caterer segment specifically. No complaints from the field reps.

Needed it for a fast launch. Sample matched live data when I spot-checked random rows. Bought it for United States's caterer segment specifically. Renewed for another quarter already.

Needed it for a fast launch. Hours and GPS were the missing pieces in my last vendor's file — this has both. No complaints from the field reps.

Live-tested 30 random rows before committing. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to underpin a United States caterer campaign. Renewed for another quarter already.

Bought this for a cold outbound push. Refresh cadence means the data feels current, not 2-years-old. Bought it as part of a wider caterer expansion into United States. Workable, the LinkedIn coverage could be better.

Worked for what we needed. Hours and GPS were the missing pieces in my last vendor's file — this has both. Minor cleanup needed but nothing major.

Wanted a United States list with verified phones. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Will buy again.

Bought for a one-time project. Address quality is the strongest column in the file. Bought it to underpin a United States caterer campaign. Wished a few smaller towns had been included.

Replaced an older vendor with this. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for a United States caterer market-sizing project. No complaints from the field reps.

Loaded the file the morning we got it. Loaded into Power BI without a single import warning. Bought it for a United States-focused caterer territory cut. Recommended.

Onboarded a junior with this dataset. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Will buy again.

Saved me a scraping project I'd been dreading. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it while planning a caterer campaign in United States. Genuinely useful.

Wanted a United States list with verified phones. Hours-of-operation field meant my SDRs called during open windows. Bought it for our caterer sales team's United States pipeline. Genuinely useful.

Compared this side-by-side with two competitors. Refresh cadence means the data feels current, not 2-years-old. Renewed for another quarter already.

Replaced an older vendor with this. Connect rate jumped noticeably once we filtered by category. Money well spent.