Efficient acquisition: How to identify your “yes” customers faster

Finding the right customers is a challenge that many companies are familiar with and is similar to the famous search for a needle in a haystack. It is not just about generating as many contacts as possible, but also about filtering out the right ones, the so-called "yes" customers.

These customers are a perfect fit for your offer and are ready to enter into a long-term business relationship. But how do you find these customers efficiently and purposefully? This is where modern search methods come into play, revolutionizing the process of finding customers. In this article, you will learn how to identify the right customers through targeted keyword searches, AI-supported website evaluation and optimized Google searches, and how the decision-maker contacts system helps you to use these contacts efficiently.

Once a company has been identified as a potential match based on, for example, its industry affiliation, we can use the following highly specialized search methods to find out which contacts have the highest potential.

Nowadays, however, the customer search for the needle in the haystack is no longer done manually, but is highly automated and with the help of artificial intelligence.

Overview

With the right customer data to success
automate customer search
Website crawling & keyword filtering
AI evaluation of websites
Optimized customer search with Google
"JA" customers on the assembly line

With the right customer data to success

Contact lists often seem like the fastest way to new business opportunities. But behind this apparent shortcut lie invisible risks that not only waste time and resources, but also make the entire sales process inefficient.

Many contact lists are based on information that is long out of date. People have changed companies, positions have been filled or companies are no longer active. The result? Your inquiries end up with the wrong contacts - and valuable business opportunities are lost.

Industry directories usually provide an enormous amount of contacts - but without a relevance filter. This means that you receive a lot of data, but how much of it is really relevant to your specific offer? Often there is no context as to whether a company currently needs your solution or whether the contact person listed is actually the right decision-maker.

Example:
You search for "freight forwarders" in Germany and get 23,000 hits. Sounds like a great opportunity? Maybe. But without knowing whether these companies really fit your specific offer, a large proportion of the contacts become dead leads.

So it is not about more to have contacts, but the rightEfficient acquisition means shifting the focus from quantity to quality – and thus identifying “yes” customers more quickly.

automate customer search

Manual customer search is inefficient and a clear competitive disadvantage.

Today’s flood of data can hardly be managed without technological support.

API interfaces and Artificial Intelligence (AI) revolutionize this process and make acquisition faster and more precise.

Searching through industry directories manually? Time-consuming and error-prone.
While you are still searching, your competitor has already won the next customer thanks to automated processes.

APIs are programming interfaces that connect different data sources and thus enable real-time evaluation.
Instead of spending hours researching information, you automatically receive exactly the data you need for your target customers.

Artificial intelligence goes one step further: It analyses huge amounts of data, recognises patterns and evaluates which companies are really relevant.

Example: From 10,000 contacts to 100 “yes” customers

Instead of weeks of research, the API collects tens of thousands of data points in a short time and the AI filters according to relevance, identifies decision-makers – and gives you the really interested companies.

In order to filter out the really relevant “yes” customers from the flood of potential contacts, we use industry database research three highly specialized filter methods are used: Website crawling with keyword filters, the AI-based evaluation of websites and the optimized Google searchEach method has its own strengths and ensures that you are no longer left in the dark, but rather find the companies that perfectly match your offer.

Website crawling & keyword filtering

An essential part of modern customer search is the website crawling with integrated keyword searchThis involves searching for specific word patterns and content on the numerous websites of potential customers in order to assess their relevance to your own offer.

The great advantage of this method is the automation: Instead of manually visiting each website, an intelligent crawler scans thousands of pages in a very short time. It recognizes not only simple keywords, but also complex text patterns and thematic connections. This makes it possible to determine, for example, whether a company currently needs certain services, what products it offers or whether it is currently looking for new business partners.

By using dynamic filter rules The crawler can be flexibly adjusted to different industries and target groups. In addition to pure keyword recognition, it also takes the context of the content into account to avoid misinterpretation.

Example: Tax advisor with Amazon FBA specialization

A company that offers innovative software solutions for tax consultants with Amazon FBA specialization can use keyword searches on all relevant tax consulting websites to find out which firms have potential interest in it and are therefore potential “yes” customers.

With the following keyword list, a deichbot explicitly searches for suitable text patterns and additionally excludes blog websites that deal with private topics.

++ FBA … Tax>
++ Tax> … FBA
++ E-Commerce … Tax Advisor … Amazon
++ FBA … Accounting … Tax>
-- Tax tip … Amazon Prime

This automated, highly specialized deichbot search method not only saves time, but also greatly increases the hit rate when searching for suitable business partners.

AI evaluation of websites

The artificial intelligence (AI) plays a crucial role when it comes to intelligent assessment of potential customers It not only analyses simple data, but also processes a variety of complex criteriato make informed decisions. These include the Contents, the structure, the technological orientation and the thematic focus a website.

In contrast to traditional search methods, the AI not only evaluates the presence of keywords, but also recognizes semantic contextsThis means that it understands the context in which certain terms are used and can therefore precisely distinguish between relevant and irrelevant information.

Example: Sustainable packaging solutions

Imagine you are looking for companies that might be interested in your sustainable packaging solutions. By crawling websites and evaluating relevant search terms, you can quickly find out which companies are active in this field and whether they could be potential “yes” customers for you.

The following evaluation criteria would find companies interested in sustainable packaging solutions:

Partial prompt with possible criteria for evaluation

The company should operate nationally and not be focused on a local area.
Company size: 10–500 employees (SMEs).
Optimal: The managing director or authorized officer can decide directly, the sales cycle is short.
The company shows interest in sustainable or environmentally friendly solutions.

Suitable if:

It is a B2B business model.
The company has more than 10 employees.
The company works with packaging solutions or has a need for sustainable packaging options (e.g. food industry, cosmetics industry, logistics, e-commerce).
Products/services can be used across industries and not just for a specific niche.

Not suitable if:

It is a B2C business (e.g. retailer to consumer).
Companies with fewer than 10 employees.
The business model is extremely specialized with a very small target group.
Companies with a purely local focus without national reach.
Companies with no connection to packaging or sustainability.

This intelligent evaluation makes it possible to separate the wheat from the chaff and focus on the most promising contacts.

Optimized customer search with Google

The Google search is a powerful tool that can be optimized even more effectively for the customer search While the classic Google search is often flooded with irrelevant results, the use of programmatic search techniques about the Google API interface a completely new dimension of efficiency.

The Google API not only allows you to automate individual search queries, but also thousands of relevant companies in the shortest possible time. Instead of manually searching page by page, the system specifically evaluates the top results, automatically filters out irrelevant hits and collects structured data on potential customers.

Example: Hand cream with sun protection function

A company is looking for online shops that offer high-quality hand creams or sun protection and where it would make sense to place a special hand cream that also offers a high sun protection factor.

Example of suitable keywords:

Online Shop for Hand Creams and Skin Care
Order sun protection and hand creams online
skin care products online shop Germany
sunscreen online shops
Buy dermatological hand creams online
online shop for medical skin care products

Now imagine a list with 100 different search queries. The Deichbot researches hundreds of results for each individual search query and recognizes whether it is an online shop. The Deichbot then summarizes tens of thousands of results into a list of potential hits in order to find the decision-maker contact with another Deichbot in the next step so that the business relationship can be initiated.

"JA" customers on the assembly line

Imagine if you could optimize your acquisition so that the "Yes" customers almost like an assembly line – without hours of research, without inefficient contact attempts and without unnecessary wastage. This is exactly what is possible today. By using API interfaces, artificial intelligence and automated search processes, customer search becomes a precise, scalable system.

Instead of relying on chance or manual hard work, intelligent algorithms identify the most relevant companies and the right decision-makers in real time. They analyze data from a variety of sources, assess the need and provide you with a list of contacts who already have the best prerequisites for a "yes."

The result?

More qualified leads in less time
Less effort in sales
Higher graduation rates

With this methodology, customer acquisition is no longer a game of chance, but a calculable, repeatable process. This way, you build up a constant stream of "yes" customers - almost like on an assembly line.