Automated sales outreach: personalized first contact via email and LinkedIn at the push of a button. More meetings, less manual work.
Initial outreach to potential customers is the most time-consuming part of the sales process. For each personalized email, a sales rep researches an average of 15-20 minutes: company news, LinkedIn profiles, current projects, and possible talking points. With a target of 50 outreach messages per week, that's over 15 hours of pure research time — nearly half the work week.
The alternative — generic mass emails — no longer works. Average open rates are below 15%, with response rates at a meager 1-2%. Decision-makers recognize impersonal templates immediately and filter them out. Worse still: spam-like outreach campaigns damage the company's reputation and can lead to email domain blacklisting.
Multi-channel outreach via email, LinkedIn, and phone significantly increases success rates — but manual coordination across multiple platforms multiplies the effort. Without a well-designed system, sales teams lose track of which contact was reached via which channel at which stage in the sequence.
The challenge intensifies with rising expectations for personalization: generic mass emails increasingly land in spam filters or get ignored. According to HubSpot, only 24% of recipients open a standard sales email, while personalized messages achieve a 62% open rate. However, genuine personalization — referencing specific challenges, recent company news, or mutual connections — requires time-consuming research per contact that most sales teams simply cannot sustain at scale.
Our outreach workflow automatically generates personalized first-touch messages for every qualified lead. The AI analyzes the contact person's LinkedIn profile, recent company news, technology stack, and industry context to craft an individually tailored message. The sales rep receives a ready-to-send draft including a compelling subject line and call-to-action that can be sent with one click or customized further to match their personal selling style.
The workflow orchestrates coordinated multi-channel sequences: Day 1 a personalized email with an industry-relevant hook, Day 3 a LinkedIn connection request with a personal note, Day 7 a follow-up email with value-add content such as a case study or benchmark report. All touchpoints are automatically timed and logged in the CRM. When positive signals appear (email opened, LinkedIn profile visited, link clicked), the sequence is automatically accelerated and the rep is notified.
The personalization goes far beyond "Hello [First Name]": the AI references specific company announcements, mutual connections, relevant industry trends, or recently posted job openings at the target company. This produces messages that feel handwritten and signal genuine interest — with proven response rates of 15-25% instead of the industry-standard 2%.
The AI-powered outreach workflow automatically researches relevant information about each prospect: current job postings (indicating growth), technology changes, press releases, and social media activity. These insights flow into hyper-personalized messages that feel handcrafted rather than automated. Multi-channel sequences across email, LinkedIn, and phone are automatically orchestrated with intelligent wait times and exit rules upon positive response — resulting in 3-4x higher response rates compared to traditional mass outreach.
Each message is individually generated by the AI based on the recipient's specific profile. There are no rigid templates — every email contains context-specific references to company news, role, and industry.
The workflow exclusively uses publicly available business data and complies with LinkedIn's terms of service. Opt-out requests are immediately honored and stored in a suppression list.
Yes, by default all messages are presented for approval. Once you trust the system, you can enable automatic sending for leads below a certain score threshold.
We analyze your process and show you the concrete savings potential — no strings attached.
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