Utilizing AI, not relying on advertising leads!
Achieving ABM (Account-Based Marketing)
Input data is the key to utilizing AI! How to smoothly data integration to AI
HULFT problem-solving solutions | For marketing
A crisis for online advertising!? It will have a major impact on B2B marketing strategies... Google's "phase-out" of third-party cookies is a shock to online advertising.
Starting January 4, 2024, US company Google will begin testing disabling the use of third-party cookies for 1% of users of its Chrome browser. By the second half of 2024, internet behavioral targeting advertising using third-party cookies will become nearly impossible, forcing change in the online advertising industry.
The shift to ABM (Account Based Marketing) is gaining importance, but collecting and analyzing effective data is an extremely difficult task...
The digital advertising crisis has emphasized a shift from traditional lead-based marketing to more strategic account-based marketing, which requires leveraging open and third-party data in addition to internal data.
However, using existing methods, it is not easy to efficiently collect and analyze this data.
Marketer's Challenges
- I want to utilize data, but I don't know how to collect the vast amount of data.
- I don't know how to use the collected data for marketing purposes.
[Problem solving] Implement more effective marketing measures with data integration and the power of AI!
By adding company information and statistical information to business partner and lead information and analyzing the data using AI, it is possible to determine the customer base to which products are likely to be sold, allowing for more effective marketing measures to be implemented.
The specific steps are as follows: First, add company information obtained from a company list or company database to the company information of clients and leads held in MA tools such as Adobe Marketo Engage or SHANON MARKETING PLATFORM.
Furthermore, the system combines business partner information with e-Stat government statistical data and sends the results to the Azure OpenAI Service along with a prompt. For example, you can send and use the prompt below, or give instructions to the Azure OpenAI Service in any way you like.
Image of the prompt to send
Our company is a multi-business company primarily focused on the information and communications industry, and the CSV file below contains data on the number of offices by business type in the Kanto region and the number of offices with which our company does business. When developing new business partners, please tell us specifically where our company should focus its efforts in order to increase its business partners.
HULFT Square enables easy data integration without coding
HULFT Square is a Japanese iPaaS (cloud-based data integration platform) that supports "data preparation for data utilization" and "data integration that connects business systems." It can integrate various data that is distributed and managed in on-premise, cloud, SaaS, and other environments.
Tools and services that are highly compatible with HULFT Square
HULFT Square application provides pre-created data integration scripts as easy-to-reuse packages.
Superior B2B marketing automation enables collaboration between sales and marketing teams
Supporting marketing operations from acquiring new customers to increasing purchasing motivation to increasing business negotiations
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Related information PickUp
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HULFT Square introduction page
We introduce the various functions and use cases of iPaaS (cloud-based data integration platform) developed in Japan. -
Product introduction seminar for first-time users
We will provide a comprehensive introduction to the product, including features, examples, and demonstrations, as well as information on pricing structures and various services.