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Account-Based Marketing Execution

Account-based marketing strategies require sales and marketing teams to coordinate highly targeted campaigns against specific named accounts, but execution often falls apart due to data gaps and manua

📌Key Takeaways

  • 1Account-Based Marketing Execution addresses: Account-based marketing strategies require sales and marketing teams to coordinate highly targeted c...
  • 2Implementation involves 4 key steps.
  • 3Expected outcomes include Expected Outcome: ABM programs powered by Lusha see 50-70% increases in target account engagement rates due to reaching the right contacts with relevant messages. Multi-threading into accounts increases deal velocity by 30% as sales teams build relationships with multiple stakeholders simultaneously. Marketing-to-sales handoff friction decreases dramatically when both teams work from the same enriched contact data..
  • 4Recommended tools: lusha.

The Problem

Account-based marketing strategies require sales and marketing teams to coordinate highly targeted campaigns against specific named accounts, but execution often falls apart due to data gaps and manual processes. Marketing creates beautiful ABM campaigns but lacks accurate contact data to reach the right stakeholders. Sales receives marketing-qualified accounts but doesn't know who to contact or how to personalize outreach. The disconnect between marketing's account-level targeting and sales' contact-level execution creates a gap where ABM programs generate awareness but fail to convert to pipeline. Additionally, tracking engagement across multiple stakeholders within target accounts requires manual coordination that rarely happens consistently.

The Solution

Lusha bridges the gap between ABM strategy and execution by providing the contact-level data and automation needed to activate account-based campaigns. Marketing teams upload their target account lists to Lusha, which automatically identifies all relevant stakeholders within each account—from end users to economic buyers to executive sponsors. The platform enriches each contact with verified email addresses and direct dial numbers, then segments them by role for appropriate messaging. Sales teams receive not just account names but complete contact maps with personalized talking points for each stakeholder. Lusha's sequences can be configured to orchestrate multi-threaded outreach, ensuring that different stakeholders receive role-appropriate messages while the system tracks engagement across the entire buying committee.

Implementation Steps

1

Understand the Challenge

Account-based marketing strategies require sales and marketing teams to coordinate highly targeted campaigns against specific named accounts, but execution often falls apart due to data gaps and manual processes. Marketing creates beautiful ABM campaigns but lacks accurate contact data to reach the right stakeholders. Sales receives marketing-qualified accounts but doesn't know who to contact or how to personalize outreach. The disconnect between marketing's account-level targeting and sales' contact-level execution creates a gap where ABM programs generate awareness but fail to convert to pipeline. Additionally, tracking engagement across multiple stakeholders within target accounts requires manual coordination that rarely happens consistently.

Pro Tips:

  • Document current pain points
  • Identify key stakeholders
  • Set success metrics
2

Configure the Solution

Lusha bridges the gap between ABM strategy and execution by providing the contact-level data and automation needed to activate account-based campaigns. Marketing teams upload their target account lists to Lusha, which automatically identifies all relevant stakeholders within each account—from end us

Pro Tips:

  • Start with recommended settings
  • Customize for your workflow
  • Test with sample data
3

Deploy and Monitor

1. Upload target account list from ABM platform 2. Lusha identifies and enriches all stakeholders per account 3. Segment contacts by role and buying influence 4. Create role-specific sequence templates 5. Launch coordinated multi-threaded outreach 6. Track engagement across buying committee 7. Alert sales when accounts show collective buying signals 8. Sync engagement data back to ABM platform

Pro Tips:

  • Start with a pilot group
  • Track key metrics
  • Gather user feedback
4

Optimize and Scale

Refine the implementation based on results and expand usage.

Pro Tips:

  • Review performance weekly
  • Iterate on configuration
  • Document best practices

Expected Results

Expected Outcome

3-6 months

ABM programs powered by Lusha see 50-70% increases in target account engagement rates due to reaching the right contacts with relevant messages. Multi-threading into accounts increases deal velocity by 30% as sales teams build relationships with multiple stakeholders simultaneously. Marketing-to-sales handoff friction decreases dramatically when both teams work from the same enriched contact data.

ROI & Benchmarks

Typical ROI

250-400%

within 6-12 months

Time Savings

50-70%

reduction in manual work

Payback Period

2-4 months

average time to ROI

Cost Savings

$40-80K annually

Output Increase

2-4x productivity increase

Implementation Complexity

Technical Requirements

Medium2-4 weeks typical timeline

Prerequisites:

  • Requirements documentation
  • Integration setup
  • Team training

Change Management

Medium

Moderate adjustment required. Plan for team training and process updates.

Recommended Tools

Frequently Asked Questions

Implementation typically takes 2-4 weeks. Initial setup can be completed quickly, but full optimization and team adoption requires moderate adjustment. Most organizations see initial results within the first week.
Companies typically see 250-400% ROI within 6-12 months. Expected benefits include: 50-70% time reduction, $40-80K annually in cost savings, and 2-4x productivity increase output increase. Payback period averages 2-4 months.
Technical complexity is medium. Basic technical understanding helps, but most platforms offer guided setup and support. Key prerequisites include: Requirements documentation, Integration setup, Team training.
AI SDR augments rather than replaces humans. It handles 50-70% of repetitive tasks, allowing your team to focus on strategic work, relationship building, and complex problem-solving. The combination of AI automation + human expertise delivers the best results.
Track key metrics before and after implementation: (1) Time saved per task/workflow, (2) Output volume (account-based marketing execution completed), (3) Quality scores (accuracy, engagement rates), (4) Cost per outcome, (5) Team satisfaction. Establish baseline metrics during week 1, then measure monthly progress.

Last updated: January 28, 2026

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