A Swiss SAP Gold Partner wins almost every deal it pitches. The bottleneck was at-bats. This system found the whole addressable market and got reply rates to 11.3% at peak.
Swiss SAP Gold Partner specializing in HR tech and SAP migrations.
World-class close rate, not enough first meetings.
Full-market sourcing, migration-deadline signals, segmented sequences.
3.9% and 2.8% reply rates across campaigns, 11.3% at peak, 9+ interested replies.
Context
A Swiss SAP Gold Partner specializing in HR technology migrations and HR process digitalization. Their core offering: help mid-market and enterprise Swiss companies define their HR-IT roadmap before the SAP ECC end-of-maintenance deadline in December 2027, guiding them to choose between migrating to S/4HANA HR or moving to SAP SuccessFactors in the cloud.
They also sell 11 proprietary add-on products that solve specific HR pain points: automated reference letters, digital employee files, secure payslip delivery, onboarding workflows, absence reporting, and more. Each add-on maps to a measurable operational problem in companies still running legacy SAP HR infrastructure.
Their close rate once they get into a conversation is 80-90%. The consultants are excellent, the product portfolio is deep, and the social proof includes cantonal governments, national utilities, major hospitals, and household-name Swiss brands. The only problem: they had no systematic way to start those conversations at scale.
Constraints
Architecture
One engine, five layers. Data flows left to right: full-market company intelligence feeds SAP signal detection, a 12-provider email waterfall recovers contacts other tools miss, AI-driven copy matches signals and add-ons to each prospect, and a five-layer DNC system sits under everything before a single email leaves.
Three parallel Clay pipelines sourced, enriched, and qualified 12,690 Swiss companies: an SAP customer list, a broader SAP partner masterfile filtered to German-speaking cantons and 100+ employees, and an add-on matrix scored with pain signals. When MixRank delivered only 7% contact coverage, I pivoted to Apollo and unlocked 1,144 additional contacts.
An AI signal system classified every company into migration_announced, erp_modernization, sap_hiring, or hr_transformation. Each signal generated a different opening sentence with source attribution. Companies with no detectable signal got a deadline-anchored fallback, still relevant, but without specificity.
A sequential waterfall of 12 providers: BetterContact, Findymail, Hunter, Prospeo, Kitt, Datagma, Wiza, Icypeas, Enrow, Dropcontact, LeadMagic, SMARTe. Every email passes Findymail verification before entering the send queue, and the long tail collectively recovers another 10-15% of contacts the top providers miss.
SAP migration emails carry an anchor line on the 2027 deadline, a signal sentence in four variants, a roadmap question, and industry-specific social proof. Add-on matrix emails map 11 products with trigger logic and pain scoring (0-5), using specialized AI models for signal finding, copywriting, translation, and research.
A company domain blocklist (customers, partners, competitors), previous contact lists from every campaign, a campaign-specific blocklist of negative replies and removals, a SmartLead bounce list, and a shared community exclusion list of SAP consultancies and major system integrators.
Results
| Metric | Result |
|---|---|
| Total leads across all campaigns | 2,000+ |
| Total emails sent | 5,000+ |
| Campaign 1 (SAP ECC) reply rate | 3.9% (21 / 545) |
| Campaign 3 (Matrix Add-Ons) reply rate | 2.8% (121 / 4,378) |
| Campaign 3 sub-segment peak reply rate | 11.3% |
| Total interested replies | 9+ |
| Estimated closed deals (at 80-90% close rate) | 7-8 (estimated) |
| Companies sourced (Matrix pipeline) | 12,690 |
| Email waterfall providers | 12 |
| Email accuracy (post-verification) | 95%+ |
| DNC layers | 5 |
| Campaign status | Active |
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