Deepiom - Empowering Digital Growth

Account-Based Marketing: Personalized campaigns targeting high-value accounts and decision makers

Personalized campaigns designed for high-value accounts. Engage key decision-makers with tailored ABM strategies.

Project Overview

Industry: B2B Marketing & Enterprise Sales

Scope: Multi-channel ABM campaigns across priority enterprise accounts

Project Duration: 5 months

Team Size: 2 AI engineers, 2 marketing strategists, 1 project manager

Business Challenge

The client struggled to effectively engage high-value enterprise accounts, leading to missed opportunities and inefficient sales cycles. Key issues included:

Generic campaigns failing to resonate with decision makers
Limited personalization across industry verticals and buyer roles
Difficulty aligning sales and marketing efforts for target accounts
High acquisition costs with low conversion rates from large accounts

Our Approach

We implemented an AI-powered ABM platform that delivered personalized, data-driven campaigns tailored to each account’s needs and decision makers. The solution focused on:

Personalizing campaigns at the account and persona level
Aligning sales and marketing around shared account intelligence
Improving engagement and conversion among high-value targets

ABM Features

AI-driven segmentation of high-value accounts and buyer personas
Personalized messaging and creative tailored to industries and roles
Multi-channel targeting across email, LinkedIn, display, and events
Real-time analytics for engagement and pipeline impact

Implementation Process

Phase 1: Account selection and data enrichment
Phase 2: AI model development for segmentation and personalization
Phase 3: Pilot ABM campaigns across 10 enterprise accounts
Phase 4: Full rollout with marketing-sales alignment workshops

Quality Assurance

A/B testing of personalized messaging across channels
Continuous monitoring of engagement, CTR, and pipeline progression
Sales feedback loop to validate lead quality
Compliance with data privacy regulations (GDPR, CCPA)

Results

Engagement & Conversion

45% higher engagement rates with decision makers
30% increase in enterprise account conversions

Sales Alignment

Stronger collaboration between marketing and sales teams
Improved visibility into account-level performance

Business Impact

$3M pipeline growth from high-value enterprise accounts
Reduced acquisition costs through targeted personalization
Stronger brand positioning with key industry decision makers

Technical Implementation

AI models for account segmentation and persona-based targeting
CRM and marketing automation system integration
Real-time analytics dashboards for account-level insights

Key Features

Personalized ABM campaigns across multiple channels
AI-powered segmentation of accounts and personas
Sales-marketing alignment through shared intelligence

Client Feedback

“”

Our ABM campaigns finally resonate with the right decision makers. We’ve seen stronger engagement, higher conversions, and closer collaboration with our sales team

Implementation Timeline

Before AI Implementation

Generic, non-personalized outreach
Low engagement from decision makers
Misalignment between sales and marketing

After AI Implementation

45% higher engagement from target accounts
30% increase in enterprise conversions
$3M in pipeline growth

Implementation Challenges

Data unification across CRM and third-party account sources
Ensuring personalization at scale without overgeneralization
Training sales teams to leverage AI-driven insights

Continuous Improvement

Regular refinement of AI models with account-level engagement data
Expansion of ABM campaigns into new verticals
Integration with predictive analytics for pipeline forecasting

Future Enhancements

Hyper-personalized content powered by generative AI
Deeper integration with intent data providers for proactive targeting
AI-driven recommendations for cross-sell and upsell in existing accounts