Outbound with context to start conversations that matter.

Most prospecting platforms use LinkedIn as their main source for company information. Our approach is not limited to these filtering mechanisms. We use complementary strategies to build a broader, more precise, and more exhaustive list of companies aligned with your ideal customer profile.

We identify companies based on purchase intent signals that may indicate potential interest in the products or services offered. These signals include recent hiring, open positions, team growth, investment rounds, technology changes, and relevant strategic moves.

At this stage, we identify all people who should be contacted within the company, considering professionals in areas directly or indirectly related to the offered product or service.

Tier 1: Decision-makers and senior management (Founders, C-Levels, and Directors).

Tier 2: Middle management and influencers, who do not have final decision-making power but directly benefit from the offered product or service.

We integrate a broad range of data providers to enrich lead email and phone data through the waterfall method: a systematic search across multiple sources until a valid match is identified.

Searches are conducted across more than 10 providers, including Prospeo, DropContact, Datagma, Hunter, PeopleDataLabs, Nimbler, Apollo, Lusha, Snov, among others.

With AI support, we analyze all public company information and structure a Company Dossier with data to validate ICP fit and support message personalization.

While the previous stage focuses on company analysis, this stage shifts focus to the individual lead. Research is directed to the lead’s social networks and professional history.

With AI support, we create personalized snippets for campaigns at two levels.

Level 1 is company-level personalization using information relevant to the offered product or service.

Level 2 is individual-level personalization using specific lead information as the opening of the first message (email opener).

We apply a sales approach based on the value-ladder concept. Instead of requesting a meeting at the end of an email, we prioritize permission to send a single sales asset: a value offer.

The offer may include case studies, testimonials, educational content, customer interviews, tutorials, product demonstrations, videos, points of view, market research, templates, or a free service where applicable.

We use different outreach strategies according to lead seniority. Tier 1 includes decision-makers and senior management. Tier 2 includes middle management and influencers who benefit directly from the solution but do not have final decision-making power.

Through Instagram, LinkedIn, and WhatsApp, it is possible to create a connection before presenting a commercial proposal. The first contact consists only of positive and relevant comments. Only after a minimum level of interaction is the sales pitch presented. This strategy can generate response rates up to five times higher than traditional cold email.

Creation of cold-email cadences with dedicated servers and IPs for high-volume sending. IPs are pre-validated against anti-spam lists and continuously monitored. A hybrid sending model splits cadences into two stages with different and independent email infrastructures.

Campaigns classify leads into three priorities: Reply, Click, and Open.

Unlike using WhatsApp only as follow-up, this approach uses automated bulk messages through WhatsApp Marketing systems, exclusively through Meta’s official channels, in a 100% legal model. After the lead replies, an AI agent starts the conversation, asks qualification questions, and directs the lead toward a strategic meeting.

This strategy is specifically aimed at prospecting small companies. It identifies owners through collaborative posts and uses Instagram as another social-engagement touchpoint, creating automated direct contact on both the lead and company profiles.

After three months of active campaigns, we analyze project viability through our sales analytics spreadsheet, considering outcome metrics, cost per lead (CPL), and customer acquisition cost (CAC) for outbound channels compared with inbound.

After validating outbound-sales-system viability for the business model, we define a scaling, continuous-optimization, and ongoing-operation strategy. This includes new niches, expanded lead-generation strategies, copy improvements through A/B tests, and new data-collection methods with AI agents. GTM Engineering is a continuous process of evolution. Every lost sale brings a learning. Every new campaign brings a new strategy.