Decent dataset for the price. Hours-of-operation field meant my SDRs called during open windows. Bought it to underpin a Australia home tutoring service campaign. Will reconsider for the next refresh.
Skeptical at first, given the price. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to scope a Australia territory in the home tutoring service for queensland, au segment. Renewed for another quarter already.
Bought a sample first. Refresh cadence means the data feels current, not 2-years-old. Bought it to map home tutoring service for queensland, au density across Australia. Renewed for another quarter already.
Skeptical at first, given the price. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for home tutoring service prospecting across Australia. Recommended.
Worked for what we needed. Email coverage is the highest I've seen for Australia B2B data. Bought it as the seed list for a home tutoring service outbound push in Australia. One column I'd add next refresh: secondary email.
Bought this for a cold outbound push. Lat/long landed every pin on the right storefront in Mapbox. Bought it for our home tutoring service sales team's Australia pipeline. Money well spent.
Bought a sample first. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to support a home tutoring service rollout in Australia. Otherwise no complaints.
Picked it up for a one-off campaign. Website URLs were populated for ~80% of rows, far better than the competition. Bought it while planning a home tutoring service campaign in Australia. Will be the default vendor for us now.
Used it for a market-sizing exercise. Website URLs were populated for ~80% of rows, far better than the competition. Will be the default vendor for us now.
Pulled the trigger after reading the row count. Sample matched live data when I spot-checked random rows. Bought it for our home tutoring service sales team's Australia pipeline. Will buy again.
Field-tested by my team. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a Australia-focused home tutoring service territory cut. Money well spent.