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The Human Touch in Insight Management: Why AI Alone Isn’t Enough

By October 13, 2023January 18th, 2024Insights
Published Date: Friday, Oct 13, 2023
Last Updated on: Thursday, Jan 18, 2024
The Human Touch in Insight Management Why AI Alone Isn’t Enough (1)

A Q&A With Harte Hanks Sr. Strategist
Elizabeth (Libby) Melbert

Insight management platforms can be incredibly powerful tools, but they require a strategic, data-driven, and customer-centric approach to maximize their value. We sat down with our Senior Strategist, Libby Melbert, to get the scoop.

Elizabeth (Libby) Melbert LinkedIn

What is insight management?

Insight management is systematically gathering, analyzing and applying valuable insights derived from data to drive informed, strategic decision-making. It involves the collection and synthesis of data from various sources within an organization, breaking down silos, and transforming raw information into actionable intelligence.

What kind of data? Transactional records, customer service logs, demographic and psychographic information, surveys, reviews, online data, social media activity and more.

Marketers use insight management to understand customer behaviors, preferences and trends, enabling the creation of highly personalized and effective marketing programs and campaigns. This approach not only enhances the relevance and impact of marketing efforts but also fosters a culture of data-driven decision-making, ultimately leading to improved customer engagement and business success.

Can you take us through the benefits, drawbacks, opportunities and threats that insight management creates?

Benefits: The most significant benefit is speed. Insight management platforms enable organizations to swiftly gather data from across the company, breaking down the silos that often hinder the flow of information. This accelerated data gathering and processing leads to quicker intelligence extraction and actionable insights. The ability to act swiftly can be a game-changer in today’s fast-paced market.

Drawbacks: While technology can aggregate data, human expertise is still essential. Businesses need individuals who can analyze this data, derive meaningful insights, and translate them into well-timed, well-delivered and relevant marketing campaigns. It’s an investment in time and resources, and those looking for instant results may be disappointed. True success often comes from a long-term “test and learn” approach.

Opportunities: Insight management opens the door to highly personalized 1:1 marketing. It allows marketers to tailor messages, timing and content to individual customer segments. This level of precision can significantly boost engagement and conversion rates, creating a substantial opportunity for increased revenue and customer loyalty.

Threats: One-size-fits-all solutions may not work in niche industries or those with stringent regulations, such as alcohol, pharmaceuticals or regulated B2B sectors. These industries require specialized strategies. Furthermore, AI tools are valuable but cannot replace human insight entirely. Relying solely on technology without the guidance of experienced professionals can threaten the effectiveness of marketing efforts.

What are the biggest challenges marketers face when implementing an insight management system (and how can they be overcome)?

Implementing an insight management system can be a complex endeavor, and there are several challenges that marketers may encounter:

1. Connecting disparate data sources: The first challenge is often connecting data from various sources within the organization. Data fragmentation is common, and integrating these sources is crucial for a comprehensive view of customer behavior.

2. Synthesizing data: Once data is connected, it must be synthesized into actionable insights. This requires the right tools and expertise to sift through the data noise and extract meaningful patterns and trends.

3. Hiring analysts: Finding and hiring skilled analysts who can derive insights from the data is another challenge. These analysts are in demand and play a vital role in ensuring that data is actionable and that marketing efforts are based on sound intelligence.

4. Developing insight-driven strategies: Developing strategies that stem from insights and lead to personalized marketing can be daunting. It involves translating analysis learnings into programs, tactics and messages tailored to individual customer segments. This requires a deep understanding of both data and marketing strategy.

5. Continuous quality control: Finally, maintaining data quality is an ongoing challenge. These platforms rely on accurate and reliable data feeds. Implementing processes for continuous quality control is essential to ensure that data is consistently accurate and up to date.

To overcome these challenges, organizations must invest in the right technology, hire and train skilled professionals, and establish robust data governance practices. Additionally, a commitment to a culture of data-driven decision-making is essential.

Laptop with analytical data for management and control purposes.

What are the best practices for achieving optimal value from insight management systems?

1. Continuous learning: Understand that the job is never done. Customer behaviors evolve, and new insights emerge. Keep learning from the data and adapting your campaigns accordingly.

2. Open-minded analysis: Approach data analysis with an open mind. Avoid starting with preconceived notions, as this can bias your interpretation of the data. Let the data speak for itself and guide your decisions.

3. Human expertise: While technology is a powerful enabler, human expertise is irreplaceable. Ensure you have the right team with the skills to work on intelligence and insights. These professionals should have a deep understanding of both data analytics and marketing strategy.

4. Data governance: Establish robust data governance processes to maintain data accuracy and reliability. Regularly audit and validate data sources to ensure the quality of insights.

5. Actionable insights: Focus on generating actionable insights. The goal is not just to gather information but to use it to drive marketing decisions and campaigns that resonate with your target audience.

6. Customer-centric approach: Put the customer at the center of everything you do. Build trust with customers by using their data to deliver offers and information that are tailored and relevant to their preferences and behavior.

What role does effective communication play in conveying insights to decision-makers in a way that is easy to understand and act upon — and trusted?

Effective communication is at the heart of turning insights into actionable decisions. It plays a pivotal role in conveying insights to decision-makers in a way that is not only easy to understand but also trusted by all stakeholders.

Building trust: Trust is a fundamental aspect of this process. We build trust by consistently delivering results and putting our clients and their customers at the center of our efforts. Customer trust, in particular, hinges on using their data to provide personalized, relevant experiences. Trust is easily damaged when companies fail to tailor interactions based on customer data and preferences.

Simplicity and clarity: When communicating insights, aim for simplicity and clarity — tailoring delivery to your audience. For example, in an audience of non-technical stakeholders, focus on key insights and what they mean — avoiding jargon or “nice to have” details that may muddy bigger picture themes and opportunities. Visual aids and examples can make complex data more accessible.

Relevance to business goals: Ensure that insights are directly tied to the organization’s business goals. Decision-makers need to see a clear connection between the insights presented and the potential impact to the bottom line.

Actionable recommendations: Provide actionable recommendations based on the insights. Decision-makers should not only understand what the data reveals but also know how to act upon it. This may involve specific marketing strategies, adjustments to value-add programs, product improvements or customer engagement tactics.

Feedback loop: Establish a feedback loop where decision-makers can ask questions and seek further clarification. This promotes a collaborative approach and ensures that everyone is aligned on the insights and their implications.

At the end of the day, effective communication is not just about conveying insights; it’s about building trust, simplifying complexity, and guiding decision-makers toward actions that drive business success. When insights are communicated clearly and confidently, they become a powerful driver of informed decision-making and strategy development.

For more insights from Elizabeth (Libby) Melbert, check out “Marketing’s New Game Changer: Insight Management” in DestinationCRM magazine.