Uber
How Uber scales their GTM motion with Pronto
BaptisteSales Manager, Uber- Industry
- Mobility & Delivery
- HQ
- San Francisco, CA
- Size
- 30,000+
- Website
- uber.com ↗
Where Uber got stuck.
Uber Eats' SMB sales team in EMEA was drowning in lists. Reps would pull contacts from ZoomInfo, hand-clean them in Sheets, then push to Outreach — losing half the data quality at every step. Worse, when champions changed jobs, the team had no way to know: re-engagement happened weeks late, if at all.
We had decent contact data on paper, but by the time it hit the rep's queue it was three weeks stale. Mobile numbers were a coin flip.
How Pronto unlocked it.
Pronto became the single source of truth on top of Uber's CRM. Waterfall enrichment runs nightly across HubSpot accounts, AI qualification scores fit against the ideal merchant profile, and the job-change tracker pings reps in Slack the morning a champion lands a new role. No more list-building — reps wake up to a queue of contacts already enriched, ranked, and reasoned-about.
4 ways Uber uses Pronto.
- 01
Stop list-building, start calling
Every morning at 7 a.m. local, Pronto pushes 10 high-intent contacts into each rep's HubSpot view — verified mobile, work email, and an ICP-fit score. Reps used to spend the first 90 minutes of the day hunting; now they dial.
I needed to qualify a high volume of leads. It's simple and efficient.
— Baptiste, Sales Manager - 02
Catch champions when they switch companies
Pronto's job-change tracker watches every contact in HubSpot. When someone moves to a target account, the rep gets a Slack DM with the new email, mobile, and a one-click 'add to sequence'. 15% of last quarter's new pipeline came directly from these alerts.
- 03
Waterfall, not single-vendor
Where ZoomInfo had a 41% mobile hit rate in France, Pronto's waterfall (100+ providers) lifted it to 78%. The SDR team stopped escalating 'no number' tickets to ops — the number was already there.
- 04
AI qualification against the merchant profile
Uber Eats has a precise ICP: independent restaurants with €500K–€5M revenue, 1–3 locations, no existing delivery deal. Pronto's AI scores accounts against this profile in seconds, so reps see the why behind every lead, not just a list.
More customer stories
“We replaced Evaboot with Pronto and plugged it straight into our CRM via API. Email enrichment doubled, we started cold calling for the first time, and every SDR went from 10 to 15 meetings a week. Across 35 SDRs, that's a different business.”
— Alexis Gadrat, Head of Sales, WeYou GroupCase studyYousign“We replaced Evaboot, BetterContact, and our custom glue with Pronto's API inside Clay. Email and phone enrichment went from 55% to 85%, our tooling cost halved, and every account now lands in Salesforce with 3 verified contacts — even when the buyer's title is something nobody else would think to search for. That's what unlocked the team.”
— Paul de Framond, Senior Growth Outbound, YousignCase studyQevlar AI“From cold lists to 50+ Enterprise meetings a month — without adding a single SDR.”
— Thomas Bartelt, Go-to-Market Engineer, Qevlar AICase studyScalefast“We catch a new hire on day 1 — Clay would surface them 3 to 6 months in. That gap is the whole game.”
— Alex Jaglale, Founder, ScalefastCase studyBonx“We didn't replace Clay — we filled the gap Clay couldn't. Pronto found the Italian manufacturers Clay didn't index, and gave us phone numbers that actually rang. That's how we booked +6 meetings per rep in a market we couldn't crack before.”
— Malo, GTM Engineer, BonxCase studyMantu“Across 60 countries, we needed one source of truth for contact data. Pronto became the layer that scales our outbound globally.”
— Sophie, VP Growth, Mantu