Who is the client?

KlientBoost is a performance marketing agency serving SaaS and eCommerce companies with significant digital advertising spend.

Their positioning is built around measurable outcomes such as CPA reduction, ROAS improvement, and conversion rate growth. Their ideal clients expect proof, speed, and relevance, which requires a go to market system that can identify intent early and convert it into qualified sales conversations with minimal friction.

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What was the problem?

They needed a scalable GTM system that could consistently capture buying intent across the entire customer journey.

They also needed operational reliability. Signals were fragmented across website behavior, social engagement, past relationships, hiring activity, and third party platforms, with no unified way to turn those signals into coordinated sales actions.

The challenge was building an automated system that could process intent at scale, route it correctly, and deliver value before a sales conversation even started.

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The approach we took

• Designed a signal based GTM architecture where all outbound and inbound actions are triggered by verified intent rather than static lists
• Implemented Clay as the central processing layer to ingest signals from Webflow, HubSpot, Vector, LinkedIn, Trigify, Clutch, G2, Beehiiv, and internal CRM data
• Engineered the Marketing Plan 2.0 as the core value engine
  • Built a custom Webflow landing page where prospects submit their company domain
  • Routed the domain into a dedicated Clay table for real time enrichment
  • Ran ICP qualification logic and firmographic validation
  • Researched top competitors automatically
  • Generated data driven recommendations across keywords, audience targeting, and potential media partnerships
  • Returned the full analysis to Webflow and rendered it dynamically on a personalized results page
  • Created or updated contact and company records in HubSpot simultaneously to support sales visibility
• Structured all GTM activity around the Marketing Plan so every play delivered immediate value before outreach
• Built re engagement and win back automation playbooks
  • Identified past clients and inactive contacts in HubSpot
  • Enriched records to detect job changes and new company context
  • Generated personalized sequences referencing the prior relationship
  • Re engaged closed lost opportunities using the Marketing Plan as a value led re entry point
  • Followed up automatically on past Marketing Plan requests to ensure no warm signal was dropped
• Deployed high intent website and capture playbooks
  • Used Vector to identify website visitors reaching MQL thresholds
  • De anonymized visitors through Clay enrichment
  • Qualified accounts against ICP logic
  • Enrolled qualified contacts into targeted outreach flows
  • Captured platform intent from Clutch and G2 when accounts showed active research behavior
  • Converted newsletter subscribers into warm leads through enrichment and tailored onboarding sequences
• Built signal based prospecting playbooks triggered by market events
  • Monitored new executive hires at target accounts
  • Identified hiring managers when companies opened marketing roles
  • Detected competitor dissatisfaction through review site monitoring
  • Triggered timely, context aware outreach aligned to each signal
• Implemented a LinkedIn engagement loop
  • Captured social engagement using Trigify
  • Sent profiles into Clay via webhook
  • Enriched contacts instantly
  • Triggered personalized outreach referencing the specific engagement and directing prospects to the Marketing Plan
• Unified RevOps workflows across the entire stack
  • Automated enrichment, qualification, routing, and sales handoff
  • Ensured sales teams only engaged when intent, context, and value delivery were already established

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Results

KlientBoost built a fully automated, signal driven GTM engine that continuously captures, qualifies, and converts buyer intent across multiple channels.

The system automated their core value proposition, deployed more than 11 ABM playbooks, unified a complex RevOps tech stack, and created a predictable flow of sales ready conversations driven by real time signals rather than manual outreach.