Bought this for a cold outbound push. Hours-of-operation field meant my SDRs called during open windows. Bought it for a Egypt-focused beauty salon territory cut. Will be the default vendor for us now.
Compared this side-by-side with two competitors. Refresh cadence means the data feels current, not 2-years-old. Bought it to map beauty salon density across Egypt. Renewed for another quarter already.
Plugged it straight into our outreach tooling. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it while planning a beauty salon campaign in Egypt. No complaints from the field reps.
Loaded the file the morning we got it. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it while planning a beauty salon campaign in Egypt. No complaints from the field reps.
Reasonable value for what we paid. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for beauty salon prospecting across Egypt. One column I'd add next refresh: secondary email.
Picked it up for a one-off campaign. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for beauty salon prospecting across Egypt. Will be the default vendor for us now.
Live-tested 30 random rows before committing. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a Egypt-focused beauty salon territory cut. Worth the price.
Field-tested by my team. Hours-of-operation field meant my SDRs called during open windows. Bought it to scope a Egypt territory in the beauty salon segment. Genuinely useful.
Field-tested by my team. Encoded UTF-8 with no character-set surprises in Excel. Bought it to scope a Egypt territory in the beauty salon segment. Workable, the LinkedIn coverage could be better.
Bought it to seed a CRM import. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for a Egypt beauty salon market-sizing project. Genuinely useful.