Your team should create campaigns, not send individual emails. Automated prospecting that generates pipeline while you focus on high-impact marketing work.
180+
Marketing teams automating with Beeving
22hrs
Saved per marketer per week
44%
Average open rate
15%
Average reply rate
Manual outreach doesn't scale and pulls your team away from strategic work. Here's why automation matters.
Your marketing team's value is in strategy: developing positioning, creating campaigns, analyzing data, optimizing funnels. But if they're spending 15 hours weekly on manual prospecting—researching leads, writing individual emails, tracking follow-ups—they're not doing marketing. They're doing admin work.
Automation frees strategic capacity. Build a sequence once, and it runs forever. Your team gets 15 hours back per week to focus on campaign development, content creation, and optimization. Better use of talent, higher ROI on marketing salaries.
Manual prospecting happens in bursts. Your team sends 50 emails this week, then gets pulled into a product launch and doesn't prospect for three weeks. Pipeline generation is sporadic. Some months you hit MQL targets, other months you're way short. Inconsistency makes forecasting impossible.
Automated prospecting runs consistently. 50 prospects enter sequences every week. Follow-ups send on schedule. Pipeline generation is steady and predictable. You hit MQL targets reliably because lead flow is constant, not dependent on whether your team had a light week.
Your target this year is 500 MQLs per quarter. Next year it's 1,000. With manual prospecting, you need to double headcount to double output. That's expensive, slow to ramp, and hard to justify when inbound is also growing. How do you scale outbound without breaking the budget?
Automation scales infinitely. Same $79/month whether you're reaching 100 prospects or 1,000. Same quality, same personalization, same follow-up discipline. You hit next year's targets without adding headcount. When you do hire, new marketers focus on strategy and creative, not execution.
Manual outreach doesn't generate data at scale. You sent 50 emails, got 5 replies—but was that because of timing, messaging, audience, or random variance? Sample size is too small to learn anything useful. You're flying blind.
Automated sequences generate statistically significant data. 500 sends with variant A vs 500 with variant B tells you definitively which performs better. Track open rates, reply rates, and meeting rates by segment, industry, role, and message. Data-driven optimization beats gut-feel iteration every time.
Your team builds strategy. Automation handles execution.
Import your target account list
Automated campaigns with smart timing
Campaign analytics and performance data
How top marketing teams use automation effectively
You've already created whitepapers, case studies, webinars, calculators, and assessments. Don't let them sit on your website waiting to be discovered. Use automated sequences to push content directly to ideal prospects. Email 1: problem. Email 2: whitepaper. Email 3: case study. Email 4: webinar invite. Your content gets in front of the right people.
Don't run cold email in isolation. Integrate Beeving with HubSpot, Marketo, Pardot, or your MAP. When a prospect replies, they enter your nurture workflows. When they click a link, they get tagged for retargeting. When they book a meeting, they sync to your CRM. Unified data across tools gives you complete attribution.
Identified 50 strategic accounts for ABM? Use cold email to activate them. Build account-specific sequences with personalized messaging, relevant case studies, and custom content. Combine with ads, direct mail, and events for multi-touch engagement. Automation ensures every target account gets consistent outreach even as you layer on other channels.
Before investing $50K in a new campaign, test messaging with cold email first. Send sequences to 200 prospects, measure engagement, identify which value props resonate. Use learnings to inform your campaign creative, landing pages, and ad copy. Cold email becomes your low-cost testing ground before you scale spend.
Open rates and click rates are nice, but they don't pay bills. Track full-funnel metrics: MQLs generated, SQLs converted, opportunities created, deals closed, revenue influenced. Calculate cost per MQL, cost per SQL, cost per dollar of influenced pipeline. Prove outbound ROI with revenue metrics, not engagement metrics.
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