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

Inductive Approach in B2B Marketing

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

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 or 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 for targeting, and utilizing these for lead evaluation is an approach practiced by many B2B companies.

Inductively extracting companies to approach next by aligning facts is used not only to pattern and present solutions required by existing 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 promotion of universal value that is highly certain and independent of specific environments or conditions, as it starts from known principles and information, enabling more efficient use of company resources.

A concrete example of applying general information to specific cases is analyzing general market trends in a specific 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.

The Third Logic Essential in the VUCA Era: Abduction

Abduction is a form of reasoning with origins in philosophy and logic, first proposed in 19th-century America to describe 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 is generally used in fields such as scientific hypothesis formation, diagnostic medicine, and Artificial Intelligence (AI).
Its utility is particularly valued in areas such as pattern recognition and decision support within AI and machine learning.

Abduction is said to be a mindset 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. 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 details are provided.
By identifying information such as industry, region, and job title from the provided data, and adding interest levels or contact status with competitors, you can score the lead's level of interest.

2. Calculating Market Size and Identifying Unvisualized Needs

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

3. Competitive Analysis

If you want to explore your company's competitive advantage in a situation where complete information about competitors is unavailable, you can predict the messages and marketing strategies they use when proposing products or services by collecting and analyzing their website articles and social media activities.
Furthermore, by listing customer companies that are in contact with competitors using intent data, it is possible to infer the industries competitors are focusing on and the overall picture of their sales strategy.

4. Customer Journey

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

Through Abduction Marketing, you can derive useful insights in situations with high uncertainty, 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 in a corporate information database, higher-precision inference becomes possible.

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Conclusion

The approaches introduced in this article are all useful.

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

Realizing Data Integration with uSonar

Our customer data integration solution, uSonar, provides 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, all on a single platform.
In addition, we provide data such as tools used by customers and web behavioral trends, allowing you to visualize characteristics regarding customers that were previously completely unexpected.
By using such data integratively for machine learning, we also provide functions for planning Abduction Marketing, making it possible to assign match degrees and priorities with your company and gain insights into the next best approach.

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

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