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CASE STUDY · DEEP TECH & ENTERPRISE AI

Engineering a Repeatable Outbound Engine for Enterprise AI Sales

Built a repeatable outbound infrastructure and enterprise pipeline engine that cut the sales cycle for technical AI products by roughly 30%.

-30%
Enterprise sales cycle length reduction
3.5%
Positive cold reply rate from C-suite
500
European enterprise accounts qualified
01 · THE COMMERCIAL FRICTION

The Challenge: Technical Friction in C-Suite Sales

Selling highly technical AI infrastructure (retrieval-augmented generation and LLM safety tooling) into enterprise European accounts presents a distinct commercial friction: product depth is a key differentiator, but also a barrier to conversion.

Translating complex architecture into messaging that moved technical decision-makers required an automated outbound system that preserved engineering credibility.

02 · SYSTEMIC EXECUTION

The Architecture: Account Scraping & Multi-Channel Workflows

Strata deployed custom Clay tables powered by automated web scraping and Apify integrations to continuously enrich, qualify, and tier target European enterprise accounts:

01
Account Scraping & Tiering Engine
Programmatic qualification of 500 target European enterprise accounts, filtering effort exclusively to matching ICP profiles.
02
Multi-Channel Workflow Automation
Synchronised HubSpot CRM, LinkedIn Sales Navigator, and Make to orchestrate continuous, automated demand generation.
03
Technical Copy Snippet Engineering
Converted dense AI technical specs into high-converting outbound copy snippets tailored for CTOs, CISOs, and Heads of AI.
03 · EMPIRICAL RESULTS

The Result: Accelerated Enterprise Deals

Metric
Pre-System Baseline
Post-Strata Architecture
Sales Cycle Length
Legacy manual enterprise sales motion
-30% Reduction in Cycle
C-Suite Reply Rate
Standard cold outbound benchmarks (< 1%)
3.5% Positive Reply Benchmark
04 · GTM ENGINE TOPOLOGY

Deployed Technology Stack

Clay ArchitectureApify Web ScrapersHubSpot CRMLinkedIn Sales NavigatorMake Automation
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