How diipl generated 19M+ buyer traction
diipl has generated 19M+ buyer traction since May 2023 through in-house campaigns combining DGFT / MoC / ICEGATE trade-data intelligence, precision LinkedIn + Google + email outreach, and AI-assisted buyer-profile matching. This is traction we own — not bought list data, not scraped directories, not aggregated marketplace inquiries. Every engagement is the result of a targeted outreach sequence our team originated: a real buyer response, attributable to a specific campaign, stored in our CRM with source lineage. The methodology operates across multi-channel in-house outreach (LinkedIn B2B, Google / Meta ads, email, WhatsApp Business, SEO / content, trade-data-driven account targeting, and trade-body partnerships), all filtered through the same four variables per target: Product Demand, tariff-corridor advantage, NTM compliance, and destination-country penetration gap for Indian manufacturers.
The four pillars of our methodology
Trade-data-driven targeting
Every campaign is pre-filtered by DGFT / MoC / ICEGATE data. We only run outreach in destination markets where India has a real competitive position on tariff, NTM, and penetration gap. Blind outbound is rejected at the planning stage.
Precision over volume
Rather than broadcasting to everyone, we build buyer lists at Product Demand × country × procurement-role precision. A 50-contact list with 12 real replies beats a 5,000-contact blast with 30 generic opens. Every reply is tagged and auditable.
Multi-channel orchestration
LinkedIn + Google + Meta + email + WhatsApp + SEO + trade-body partnerships — all running in sequence, with cross-channel attribution. A buyer who opens an email, searches the company, sees a LinkedIn ad, and responds via WhatsApp is one engagement, not four.
Veteran human judgement
Every outreach sequence is designed and supervised by our 16+ year B2B trade veteran bench. Regional buying psychology, regulatory nuance, and market context are baked in. The tools don't replace the humans — they amplify them.
Frequently asked
What does '19M+ buyer traction' mean at diipl?
It is the cumulative count of buyer engagement events diipl has generated through its own in-house campaigns since May 2023. Engagement events include inbound responses from buyers who opened, clicked, replied, or initiated a conversation from one of our multi-channel outreach sequences (LinkedIn, Google, Meta, email, WhatsApp, SEO, trade-data-driven targeting). It is not bought list data, not scraped from public directories, and not an aggregate of third-party marketplace inquiries. It is traction we own, built through our own precision-targeting methodology. We update the number quarterly from our internal CRM + campaign analytics.
What channels contribute to diipl's 19M+ buyer traction?
Multi-channel in-house outreach. LinkedIn B2B outreach targeting procurement and sourcing titles by geography. Google and Meta ads targeted by Product Demand × destination country. Email sequences to decision-makers sourced from trade-data intelligence. WhatsApp Business outreach for warmer touches. SEO / content marketing across our answers and country pages. Trade-data-driven account targeting using DGFT, MoC, ICEGATE, and public customs filings to identify active importers per product × country. And direct partnerships with trade bodies and sector associations where we provide research value in exchange for reach.
How is this different from a marketplace's inquiry count?
Marketplaces count anyone who clicks 'Contact Seller' — spam, students, competitors, and data-scrapers all inflate their numbers. diipl's 19M+ is an engagement count: a real response to a real outreach that our team originated. No passive visitors, no click-bait, no unsolicited inbound from unqualified sources. The quality ceiling is fundamentally different. And because every engagement carries source attribution in our CRM, we can retroactively audit any portion of the 19M+ against campaign logs.
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