Audit and setup — Started with a full audit and system setup: infrastructure, domains, inboxes, sequences, segmentation logic, warm-up, and CRM integration to support scalable outbound.

Offer design and positioning — Positioned AppWill around acquisition demand, liquidity, and access to active buyers. Messaging was tailored for indie developers, studios, and high-performing apps.

Data engine — Built a proprietary dataset beyond LinkedIn and Apollo using App Store, Google Play, niche sources, and AI-driven search. Used Clay and multiple providers for structuring, enrichment, and validation. Applied waterfall enrichment to identify decision-makers and ensure high-quality contact data.

Segmentation and personalisation — Segmented the market by country, app popularity, studio size, and role. Each segment received tailored sequences, messaging angles, and optimized timing, enabling deep personalization at scale.

Outbound infrastructure — Built a diversified and stable infrastructure using multiple providers, domains, and inboxes with warm-up, deliverability control, and consistent sending performance.

Launch and scaling — Results came immediately after launch. Within the first month we saw strong inbound demand and scaled volume quickly. At peak, lead flow exceeded the client’s capacity, requiring temporary reduction in outreach.

Audit and setup — Started with a full audit and system setup: domains, inboxes, sequences, warm-up, and CRM integration to support structured outbound and lead handling.

Offer design and positioning — Built positioning around access to a private business community and high-level networking. Messaging was tailored specifically for founders and CEOs, focusing on relevance and exclusivity.

Data engine — Built a proprietary dataset of enterprise founders and CEOs using LinkedIn, public registries, and AI-driven data parsing. Applied multi-step enrichment and validation to ensure accuracy and relevance.

Segmentation and personalisation — Segmented the database by company size, role, and other key parameters. Each segment received tailored sequences, messaging angles, and optimized timing, enabling high reply quality and relevance.

Outbound infrastructure — Built a stable outreach system with multiple domains and inboxes, warm-up processes, and deliverability control, ensuring consistent performance at scale.

Launch and scaling — Strong results appeared within the first month after launch. Campaigns quickly generated warm leads, and the system scaled to deliver a steady flow of qualified conversations.

Audit and setup — Started with ICP definition and strategy development. Built the system from scratch: infrastructure, domains, inboxes, sequences, warm-up, and CRM integration for structured outbound.

Offer design and positioning — Positioned ItisPay around crypto and payment infrastructure with regulatory coverage and fiat settlement. Messaging was adapted for PSPs, neobanks, and crypto companies.

Data engine — Built custom databases instead of relying on standard sources. Core data layer based on AI-driven search across the web, allowing us to identify highly relevant ICP companies beyond standard databases, with continuous enrichment and decision-maker mapping via tools like Clay (Founders, C-level, Payments leads), followed by contact validation.

Segmentation and personalisation — Segmented companies by type, geography, and role. Added custom signals including licensing, product focus, growth stage, and expansion activity. Each segment received tailored sequences, messaging, and timing.

Outbound infrastructure — Built a diversified infrastructure using multiple domains, inboxes, and providers with warm-up and deliverability control to support stable scaling.

Launch and scaling — After launch, campaigns generated consistent replies and qualified conversations. Scaling was done gradually by segment without loss in reply quality or depth of dialogue.

Audit and setup — Started with ICP definition and system setup: infrastructure, domains, inboxes, sequences, warm-up, and CRM integration for scalable outbound.

Offer design and positioning — Positioned IQ WAY around personalized learning, AI-driven delivery, and measurable training outcomes. Messaging was adapted for HR, L&D, and operational decision-makers.

Data engine — Built custom databases instead of relying on standard sources. Core data layer based on AI-driven search across the web, identifying relevant ICP companies beyond standard databases, with continuous enrichment and decision-maker mapping via tools like Clay (HR Directors, Heads of L&D, Managers, C-level), followed by contact validation.

Segmentation and personalisation — Segmented companies by role, company size, and industries where workforce training is critical. Each segment received tailored sequences, messaging angles, and timing, enabling relevant personalization at scale.

Outbound infrastructure — Built a diversified infrastructure using multiple providers, domains, and inboxes with warm-up and deliverability control for stable scaling.

Launch and scaling — After launch, campaigns generated consistent replies and qualified conversations. Scaling was performed gradually by segment without loss in reply quality.

Audit and setup — Started with ICP definition and system setup: infrastructure, domains, inboxes, sequences, warm-up, CRM integration, and LinkedIn preparation for outbound.

Offer design and positioning — Positioned LAB SP around ERP/HR modernization, document automation, and operational efficiency. Messaging was adapted for HR Directors, CFOs, and COOs with role-specific value propositions.

Data layer (Linkedin-first) — Built the core database using LinkedIn as the primary source of truth for identifying companies and decision-makers. Applied advanced filtering by company size, industry, and roles, then enriched data via additional sources and validated contacts.

Linkedin outreach + email — Combined LinkedIn outreach with cold email to increase touchpoints and response rates. Used connection flows, follow-ups, and profile positioning alongside email sequences to build familiarity and trust.

Segmentation — Segmented companies by role (HR / Finance / Operations), company size, and industry. Each segment received tailored messaging and sequences aligned with specific use cases.

Outbound infrastructure — Built a stable infrastructure with multiple domains and inboxes, warm-up processes, and deliverability control to support consistent outreach.

Launch and scaling — After launch, campaigns generated consistent replies and qualified conversations. Combined channel approach (LinkedIn + email) improved engagement and allowed controlled scaling.

Audit and setup — Started with ICP definition and system setup: infrastructure, domains, inboxes, sequences, warm-up, and CRM integration for structured outbound.

Offer design and positioning — Positioned Breffi around omnichannel pharma promotion and measurable marketing outcomes. Messaging was adapted for C-level, marketing leaders, and brand/product teams.

Segmentation — Segmented companies by size, team structure, and function. Focused only on accounts with verified budgets and clear demand for omnichannel promotion. Each segment received tailored messaging aligned with role and use case.

Outbound infrastructure — Built a stable infrastructure with multiple domains and inboxes, warm-up processes, and deliverability control to support consistent outreach.

Launch and scaling — After launch, campaigns generated consistent replies and qualified conversations despite the conservative market. Scaling was performed gradually without loss in lead quality.

Audit and setup — Started with a detailed briefing and ICP definition. Built the system end-to-end: infrastructure, domains, inboxes, sequences, warm-up, and CRM integration.

Offer design and positioning — Developed a market-ready offer aligned with leasing needs and decision-making logic. Messaging focused on clear value, fast access to financing, and strong CTA.

Data and segmentation — Built and segmented the database into narrow hyper-targeted groups and broader segments based on business needs. This enabled testing multiple angles and scaling what delivered results.

Outbound infrastructure — Built a robust infrastructure with 4–5 week warm-up, multiple domains and inboxes, ensuring high deliverability and stable performance.

Launch and scaling — After launch, campaigns generated strong engagement and high-intent leads. Despite long deal cycles, pipeline growth became visible within 1.5–2 months.

Audit and setup — Started with outbound infrastructure setup: domains, inboxes, warm-up, and preparation for scalable outbound.

Offer design and positioning — Positioned services around Amazon growth and performance optimization. Messaging was tailored to large sellers, focusing on revenue scaling and efficiency.

Segmentation and sequences — Segmented sellers by store size, product category, and performance level. Developed personalized sequences with tailored messaging and clear CTAs.

Outbound infrastructure — Built a stable system with multiple domains and inboxes, warm-up, and deliverability control. Focused on reply rate and pipeline instead of open tracking.

Launch and scaling — Results appeared within the first week. After the first month, volume and database were scaled. Re-engagement campaigns every 3–4 months maintained consistent lead flow.

Audit and setup — Started with ICP definition and system setup: infrastructure, domains, inboxes, sequences, warm-up, and preparation for scalable outbound.

Offer design and positioning — Positioned services around end-to-end Web3 development, speed of delivery, and technical expertise. Messaging was tailored for founders and product-driven teams.

Segmentation and sequences — Segmented projects by type, stage, and product focus. Developed tailored sequences aligned with technical needs and project context.

Outbound infrastructure — Built infrastructure with 10 domains and 40 inboxes, including warm-up and deliverability control for stable performance.

Launch and scaling — After launch, campaigns generated strong engagement and qualified leads. Consistent demand from Web3 founders was achieved within the first month.

Audit and setup — Started with product analysis and ICP definition. Built infrastructure, domains, inboxes, warm-up, and prepared the system for scalable outreach.

Offer design and positioning — Refined positioning around investment opportunity and partnership value. Messaging was tailored for funds, investors, and strategic partners.

Segmentation and sequences — Segmented contacts by investor type and thesis. Developed personalized sequences aligned with investment interests and decision-making context.

Outbound infrastructure — Built a stable system with multiple domains and inboxes, warm-up, and deliverability control for consistent outreach.

Launch and scaling — Within the first weeks, campaigns generated qualified leads and meetings. Strong early performance led to scaling and continued collaboration.

Audit and setup — Started with ICP definition and full system setup: infrastructure, domains, inboxes, sequences, warm-up, and CRM integration for turnkey outbound.

Offer design and positioning — Positioned the service around cross-border payments and international transactions. Messaging was adapted for companies operating globally.

Data engine — Built custom databases of European companies engaged in foreign economic activity using multiple sources and enrichment. Focused on relevance and validated contact data.

Segmentation and sequences — Segmented companies by geography and business type. Developed personalized sequences with strong CTAs to maintain high reply quality at scale.

Outbound infrastructure — Built a large-scale infrastructure with multiple providers, domains, and inboxes, enabling stable sending of 1,500+ emails per day with strong deliverability.

Launch and scaling — After launch, campaigns generated consistent replies and qualified leads. Strong early results led to long-term collaboration and further scaling.

Audit and setup — Started with infrastructure setup: domains, inboxes, warm-up, and safe sending limits to ensure deliverability.

Offer design and CTA — Built email flows with a direct registration CTA instead of booking meetings. Messaging focused on immediate value and low-friction onboarding.

Data and segmentation — Built and segmented databases of online stores by geography, category, revenue, and technology (platform). Focused on relevant, active sellers.

Sequence logic — Used a two-step approach: initial email without links to maximize inbox placement, followed by a second message with detailed info and registration link. This reduced spam risk and improved conversion.

Automation — Implemented automated responses for engaged leads to guide them toward registration without manual involvement.

Outbound infrastructure — Built a stable system with warm-up, sending control, and deliverability optimization to support consistent traffic generation.

Launch and scaling — After launch, campaigns consistently drove traffic and registrations. The link-free first touch combined with segmented follow-ups enabled strong conversion rates without a sales team.