The Third Logic: How Abduction Transforms Marketing | Strategies for Leveraging Corporate Data in the VUCA Era

Inductive Approach in B2B Marketing

Generally, an inductive approach refers to drawing general conclusions based on specific events or observations.

In B2B marketing, developing an account strategy using inductive reasoning is said to provide high flexibility when new customer segments or demands emerge. It excels at evaluating new data and information to adapt strategies immediately.

A concrete example of identifying patterns and trends from case studies and data is deriving common needs or customer characteristics based on existing customer use cases.
Integrating information held by sales and marketing teams, analyzing success stories of customers with high loyalty and LTV to derive common insights, and utilizing these for lead evaluation is an approach practiced by many B2B companies.

Inductively extracting companies to approach next by lining up facts is used not only to patternize and present solutions that were previously sought by customers but also to discover new value propositions.

Deductive Approach in B2B Marketing

Generally, a deductive approach refers to applying general principles to specific situations.

In B2B marketing, developing an account strategy using deductive reasoning allows for the appeal of universal value that is highly certain and independent of specific environments or conditions, as it starts from known principles and information, thereby utilizing company resources more efficiently.

A concrete example of applying general information to a specific case is analyzing general market trends in a particular industry.
Identifying businesses or companies to target based on industry trend reports and economic information is said to be effective when planning large-scale promotional activities or Go-To-Market strategies for new services.

Deductively finding specific customer segments from known public information is an approach that can be practiced even without a knowledge base regarding the industry of potential customers, and it is used to expand the customer base.

Abduction: The Third Logic Essential in the VUCA Era

Abduction is a form of reasoning with origins in philosophy and logic, first proposed in 19th-century America as a term referring to the process of forming the most plausible hypothesis from incomplete information.

It is used to derive the most compelling hypothesis or explanation in situations where uncertainty or incomplete information exists, and it is generally used in fields such as scientific hypothesis formation, diagnostic medicine, and artificial intelligence (AI).
In the fields of AI and machine learning in particular, its utility is highly regarded in areas such as pattern recognition and decision support.

Abduction is said to be a way of thinking that provides particular value in business environments with high VUCA (Volatility, Uncertainty, Complexity, and Ambiguity).
Specifically, it is said to follow the process below.

1. Measurement

Specific events or information are measured.
This information is often incomplete and ambiguous.

2. Hypothesis Generation

Based on the measured information, facts behind the events or applicable trends and patterns are generated as hypotheses.

3. Evaluation

The generated hypotheses are evaluated according to specific criteria.
Evaluation criteria include the simplicity of the hypothesis, consistency with known information, and the degree to which the event can be explained.

4. Selection of the Optimal Hypothesis

The most plausible hypothesis is adopted and utilized as the final conclusion.

Abduction is a method for deriving new ideas and strategies in complex and ambiguous situations, and it serves as a powerful method for building competitive advantage while flexibly indicating appropriate directions when planning sales and marketing strategies in the VUCA era.

What Is Data-Driven Abduction Marketing?

Abduction is utilized to detect non-generalized trends and patterns in the process of making the most effective decisions based on collected information. The following applications can be expected in B2B marketing.

Concrete Examples of Abduction Marketing

1. Lead Scoring

When collecting new lead information (potential customers), there are cases where the information is incomplete and only partial contact information is provided.
By identifying information such as industry, region, and job title from the provided data, and adding information on interests and contact status with competitors, it is possible to score the level of interest of that lead.

2. Calculating Market Size and Identifying Unvisualized Needs

Suppose there is a service attempting to enter a new market. If data such as trends and movements regarding the market is insufficient, by obtaining known information about similar or related markets, it is possible to estimate the TAM of the new market from analysis results based on the acquired information and plan an appropriate approach.
Furthermore, by acquiring segment data regarding customer behavior and interests from outside the company and adding it as an analysis element, it is also possible to discover potential customer needs and market trends that could not be found through analysis using only conventional data.

3. Competitor Analysis

If you want to explore your company's competitive advantage in a situation where complete information about competitors cannot be obtained, you can predict the messages and marketing strategies used when proposing products or services by collecting and analyzing website articles and social media activity.
Additionally, by listing customer companies that are in contact with competitors using intent data, it is also possible to infer the industries the competitors are focusing on and the overall picture of their sales strategies.

4. Customer Journey

To understand the background and needs of customer companies, it is necessary to obtain a vast amount of information. Due to the influence of the dark funnel, it is considered difficult for many B2B companies to collect all customer behavior.
Therefore, it is possible to predict whether there is similarity in the behavior of other customers based on the behavior data and feedback of high-quality customers obtained in the past. You can hypothesize a more effective customer journey, plan the next measures to take, and build a more personalized marketing approach.

Through abduction marketing, you can derive useful insights in situations with a lot of highly uncertain data, turn instability into opportunity, find creative solutions to complex problems, and transform ambiguity into clear strategy.

However, since abduction is reasoning based on hypotheses, its accuracy is limited. Therefore, by using it in combination with data held by corporate information databases, more highly accurate inference becomes possible.

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Conclusion

All the approaches introduced in this article are useful.

An inductive approach can explore new customer segments and respond flexibly to market changes.
A deductive approach can realize efficient approaches based on established principles and strategies.
It is important to use both approaches depending on the situation, and sometimes combine them, to make strategic decisions.

Realizing Data Integration with uSonar

In our customer data integration solution, uSonar, we provide factual data held by companies.
It is possible to execute an inductive approach by realizing data integration across sales and marketing organizations, and a deductive approach based on industry trends, on a single platform.
In addition, we provide data such as tools used by customers and behavioral trends on the web, allowing you to visualize characteristics regarding customers that were previously completely unexpected.
By using such data integrally for machine learning, we also provide functions to plan abduction marketing, making it possible to assign match degrees and priorities with your company and gain insights into the next best approach.

For details, please feel free to contact us from this page.

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