12,690 companies sourced for a team that closes 80-90% of its meetings

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.

Data & AISwiss SAP Gold PartnerSignal-Based Outbound
  • 12,690Companies sourced
  • 11.3%Peak reply rate
  • 9+Interested replies
  • 80-90%Client close rate

The Client

Swiss SAP Gold Partner specializing in HR tech and SAP migrations.

The Problem

World-class close rate, not enough first meetings.

The Build

Full-market sourcing, migration-deadline signals, segmented sequences.

The Outcome

3.9% and 2.8% reply rates across campaigns, 11.3% at peak, 9+ interested replies.

Context

The client

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.

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

Why this was hard

The addressable market is geographically locked.

Only German-speaking Swiss cantons qualify. French and Italian Switzerland are off-limits, eliminating roughly 35% of Swiss companies before any other filter.

The ICP requires active SAP usage.

The target is Swiss companies with 100+ employees that currently run SAP HCM or SAP ECC. Standard databases do not reliably tag SAP usage.

Standard email enrichment fails in Switzerland.

Global providers hit 30-50% coverage. A single-provider approach would leave half the pipeline without usable email addresses.

The deadline creates urgency but also noise.

Every SAP consultancy in Europe is running some version of the 2027 deadline campaign. The copy had to cut through saturation.

Swiss German copy rules are strict.

No sharp-s, no "kostenlos", no "bitte", no "Hoi", and getting the tone wrong damages the brand with the exact people they need to close.

11 add-on products required individualized messaging.

Sending the wrong add-on recommendation signals you did not do your homework.

Architecture

The system

One engine, five layers. 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.

Results

Campaign performance

  • 11.3%Peak reply rate on a Campaign 3 sub-segment
  • 12,690Companies sourced across the addressable market
  • 9+Interested replies handed to the client's closers
MetricResult
Total leads across all campaigns2,000+
Total emails sent5,000+
Campaign 1 (SAP ECC) reply rate3.9% (21 / 545)
Campaign 3 (Matrix Add-Ons) reply rate2.8% (121 / 4,378)
Campaign 3 sub-segment peak reply rate11.3%
Total interested replies9+
Estimated closed deals (at 80-90% close rate)7-8 (estimated)
Companies sourced (Matrix pipeline)12,690
Email waterfall providers12
Email accuracy (post-verification)95%+
DNC layers5
Campaign statusActive

Fit

Who this is for

Technology consultancies with high close rates but empty pipelines.

If your team converts most conversations into deals but struggles to start enough of them, the problem is top-of-funnel infrastructure, not sales.

Companies selling into the Swiss mid-market and enterprise

where standard enrichment fails. The 12-provider waterfall is built for markets where global platforms deliver only 30-50% coverage.

B2B firms with complex product portfolios

that need individualized messaging per prospect. The add-on matrix matches signals to products before any email is sent.

Stack

Tools used

  • ClayData Enrichment
  • SmartLeadEmail Sequencing
  • ApolloLead Database
  • MixRankContact Database
  • BetterContactEmail Enrichment
  • FindymailEmail Verification
  • Claude AIAI Signal Detection
  • DiscoLikeCompany Discovery

Want numbers like these for your pipeline?

See how a system like this gets built for your market, even if you have zero infrastructure today.

Book Your Free Strategy Call