From Fragmented Outreach to 10,000 Multilingual Prospects Per Day

From Fragmented Outreach to 10,000 Multilingual Prospects Per Day

10,000

10,000

Multilingual prospects per day

21%

21%

Contact rate (up from 8%)

58%

58%

lower cost per qualified appointment

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The problem

A Monolingual Prospecting Model in a Multilingual Market Created Structural Limits

Jacobs Real Estate operated in one of the world’s most linguistically diverse markets, yet its outbound engine was built for a monolingual world. Agents rotated through shared dialers, working English-first lists and hand-translating scripts into ad-hoc Arabic, Hindi, and Russian.

The immediate consequence was throughput: daily prospecting rarely exceeded a few hundred meaningful conversations, and first-touch often arrived days after a prospect’s moment of interest. The second-order effect was a structural cap on addressable demand; large segments—South Asian, Filipino, Persian, and francophone communities—remained underpenetrated because language coverage, accent matching, and scheduling in local idiom were inconsistent.

The tertiary effect was economic: management over-invested in lead purchases to compensate for low conversion, while experienced closers spent time chasing unqualified names, depressing win rates and masking product-market fit in micro-neighborhoods the firm should have dominated.

The solution

Real-Time Multilingual AI Outreach at Scale

Jacobs deployed Synthesys’ real-time AI voice platform to redesign prospecting around scale, speed, and native-language trust. Over a four-week build, Synthesys stood up ten language personas—Arabic, English, Hindi, Urdu, Malayalam, Tagalog, Russian, Farsi, French, and Mandarin—each with localized openers, qualification logic, and calendar rules.

The system was wired into Jacobs’ existing CRM and WhatsApp/SMS stack so every call outcome triggered the next best action: instant re-attempts on busy/no-answer, language-matched text follow-ups, and live transfers for hot prospects. Because Synthesys supports sub-second latency in 70+ languages and 10,000+ simultaneous calls on telecom-grade routing, Jacobs moved from “who can dial now?” to guaranteed concurrency and 24/7 coverage, including off-peak hours aligned to expat shift work.

The results

10,000 Prospects Per Day, Faster First Touch, and Lower Costs

Within six weeks, Jacobs’ outbound engine consistently processed approximately 10,000 prospects per day across the ten languages, with daily call attempts ranging from 9,600 to 10,800 depending on list availability.

The first-order effects were visible in the core funnel:

  • Contact rate rose from 8% to 21%.

  • Median time from list import to first touch fell from 2.1 days to under 15 minutes.

  • 8% of live conversations converted into viewing appointments.

That translated to roughly 160–180 new appointments per day, with automated, language-specific confirmations and reminders reducing no-shows from 32% to 19%. Cost per qualified appointment declined by 58% as the platform maintained throughput without adding salaried headcount and cut waste from repeated, poorly timed callbacks.

The second-order effects compounded. Native-language conversations unlocked neighborhoods and buyer cohorts that had been systematically under-served; for example, evening Hindi/Urdu campaigns drove a disproportionate share of end-of-shift conversions, while Tagalog-language outreach materially increased engagement with mid-income renters considering first-time purchases. Performance data fed back into market selection: Jacobs rebalanced media spend away from generic portal leads toward owner and community lists that the multilingual engine converted at higher velocity. Senior agents—the firm’s scarcest asset—were redeployed from cold outreach to curated closings and cross-border cash buyer lanes, lifting close rates and compressing cycle time from first call to signed MoU.

The tertiary effects reshaped operating economics. With appointment creation and reminder choreography automated, Jacobs rationalized vendor spend across dialers and list brokers, consolidated analytics into a single view of prospect language, source, and outcome, and negotiated better inventory access on the back of consistent buyer traffic. Leadership gained a cleaner read on where the brand resonated by language and micro-market, informing pricing guidance, staffing by time block, and developer partnerships.

Critically, the firm built a scalable “always-on” growth loop: multilingual outreach filled tomorrow’s calendar, off-hours AI answered and nurtured inbound interest generated by today’s viewings, and closers focused on the highest-probability deals. In a market defined by speed and trust, Synthesys gave Jacobs both—at once—by making every first conversation fast, native, and reliably followed through.

Company name

Jacob's Real Estate

Industry

Real Estate

Company size

Mid-Market

Pain point

Jacobs operated in one of the world’s most multilingual markets but relied on an English-first outbound model. Manual dialing, inconsistent translation, and slow follow-up capped daily prospecting at a few hundred leads. Large buyer segments remained unaddressed, while inflated lead costs and wasted agent time on unqualified prospects eroded margins and masked true market fit.

Synthesys product used

AI Telecommunications Platform

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Platform

Partners

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2025 | Synthesys

All systems normal

Platform

Partners

Solutions

Resources

All systems normal

2025 | Synthesys

Platform

Partners

Solutions

Resources

All systems normal

2025 | Synthesys