In Account-Based Marketing (ABM), accurate data is everything. It helps you connect with the right accounts, tailor your messaging, and ultimately close more deals. However, many companies struggle to maintain high data accuracy. And the companies that are able to do it via ABM automation are reaching the competition ladder.
And data decays over time, teams face silos, and inefficient processes can lead to inaccuracies and missed opportunities. So, how can ABM companies achieve this high level of data precision?
Let’s explore how you can achieve 90-95% accuracy in your data and improve your ABM efforts.
Common Reasons for Inaccurate Data
Many ABM companies face obstacles that make it hard to keep data accurate:
- Data Decay: Contact information and buying signals can change quickly, leading to expired data in your CRM. This decay can cost companies up to 30% of their sales opportunities annually.
- Lack of Standardization: Without a standardized process for collecting and managing data, discrepancies can arise across teams.
- Silos Across Teams: Disconnected data from marketing and sales teams can create inconsistencies in outreach. This affects lead qualification and engagement.
- Over-reliance on Manual Entry: Human error in manually entering data can lead to typos, duplicates, or missing information.
- Outdated Technology: Using ABM automation that does not support current data management practices can lead to inaccurate or incomplete data.
- External Factors: Changes in market conditions, industry standards, or customer behaviors can quickly render data outdated or irrelevant.
- Data Scraping Issues: If data is collected from unreliable sources, it may contain inaccuracies that are carried into your database.
- High Employee Turnover: Frequent changes in staff can lead to loss of knowledge and context around customer data, increasing the chances of inaccuracies.
How to Achieve 90-95% Data Accuracy
Now that we know the challenges, let’s look at how to overcome them and achieve that high level of data accuracy:
Automate Lead Scoring with GenAI
Traditional lead scoring processes can be time-consuming and often rely on outdated data.
GenAI voicebots utilize advanced machine learning algorithms to analyze lead behaviors and engagement metrics in real time. They can:
- Identify high-potential leads by assessing interactions and intent signals.
- Optimize resources by directing sales efforts toward leads most likely to convert.
Break Down Silos with Automation
Communication gaps between sales and marketing teams can lead to inconsistent data usage.
By integrating seamlessly with CRM systems, GenAI voicebots automate data flow between departments. This allows:
- Real-time updates that ensure all teams have access to the same accurate information.
- Enhanced collaboration, leading to better targeting and improved campaign performance.
Real-Time Data Verification
Outdated or inaccurate data can result in ineffective outreach.
GenAI voicebots engage directly with customers and prospects to verify contact details and gather updated buying signals. They:
- Ensure current contact information, reducing the risk of data decay.
- Minimize irrelevant outreach, enhancing customer experience and engagement.
Standardized Data Collection
Inconsistent data entry practices can lead to discrepancies in records.
Voicebots operate with a consistent script that standardizes data collection, ensuring:
- Uniformity across records, leading to reliable datasets.
- Elimination of discrepancies, which enhances data integrity for all teams.
Automate Your Campaigns
Manual campaign management can lead to missed opportunities and disjointed messaging.
GenAI voicebots enable the automation of multi-channel campaigns, allowing for:
- Consistent communication across various platforms, ensuring messages reach the right people at the right time.
- Continuous engagement with leads, nurturing them throughout their buying journey.
Knowledge Retention
High employee turnover can result in the loss of valuable customer insights.
GenAI voicebots retain and manage customer interaction data, helping to:
- Ensure continuity in communications and strategies, regardless of personnel changes.
- Maintain data integrity over time, reducing the impact of knowledge loss.
Reliable Data Sources
Relying on unverified data can lead to inaccuracies and poor decision-making.
ABM automation powered by AI can itself create verified data sources to enrich your database, providing:
- Accurate and trustworthy information reduces the risks associated with data scraping.
- Informed decision-making based on reliable data inputs.
Minimizing Manual Entry Errors
Human errors in data entry can result in significant inaccuracies.
Voicebots automate ABM data logging into databases, effectively:
- Reducing reliance on manual entry, minimizing typos and duplicates.
- Enhancing overall data management accuracy, leading to better analytics and insights.
Are you Looking for AI to Achieve Data Accuracy?
At VoiceOwl, we know that accurate data is vital for a successful ABM. Our AI-powered ABM automation platform helps you maintain high data accuracy through:
- Accurate, Real-Time Data Enrichment: We provide fresh, accurate information to keep your data up-to-date.
- AI-driven Lead Scoring: Our platform helps you identify the best leads to prioritize.
- Automated Data Verification: We ensure your data remains accurate and reliable.
- Easy Automation: Spend less time on manual tasks and more on strategy.
Ready to see how accurate data can transform your ABM efforts? Schedule a demo with VoiceOwl today and discover how our platform can help you engage effectively and grow your business.