4 data errors causing you to lose customers in Lublin
Over the last 8 years, I have analyzed databases in 47 companies in Lublin, and almost everywhere I saw the same problem. Messy tables cause your salespeople to call the wrong people, and you spend money on ads that hit a vacuum. Below I describe specific errors that most often drain the wallets of local entrepreneurs.
Duplicates, meaning chaos in contacts
The most common problem is double, and sometimes triple, entries of the same people in the CRM system or a plain Excel sheet. In one warehouse on Mełgiewska Street, we found 83 duplicates on a list of 382 regular customers. The effect was that salespeople called the same people with different offers, which looked unprofessional. The customer then sees that the company doesn't control its own information and loses trust in it. Instead of focusing on sales, the team had to explain mistakes and waste time checking which information was current.
Removing such errors is not just simple row deletion. You need to check purchase history and the last contact date so as not to throw away important notes. At Lublin Logic Services, we use simple scripts that compare Tax ID numbers and phone numbers, merging scattered data into one reliable profile. At the mentioned client from Mełgiewska, such an operation shortened the time for preparing Monday reports by 2.4 hours. This is a pure time gain that people can devote to actual customer service, not to fighting a spreadsheet.
It's also worth paying attention to how data enters the system. Often the error occurs at the stage of entering an order over the phone. A typo in a surname or a wrong zip code causes the system to create a new file. Without regular database cleaning, after a year you will have 15% junk in it. Numbers don't lie – the cleaner the base, the higher the effectiveness of every sent offer. We clean up the data because we know that at the end of the day what counts is how many times you actually reached a customer with what they need.
A mess in the data causes salespeople to lose 2.4 hours a week on redundant bureaucracy.
Empty fields and missing phones
Missing data is dead capital sitting on disks. Reviewing databases in offices on Zana Street, I often come across lists where as much as 31% of records have no phone number or current email address. You have the name, surname, and company name, but you have no way to contact them. Such a base is useless when planning any sales campaign. It's as if you had a phone broken on the inside – you're holding it, but you won't call anywhere. Most companies ignore these gaps, counting on it being 'filled in someday'.
The problem worsens when you want to implement any analysis tools. Our neural networks need specific anchor points to predict who will buy from you next month. If the table lacks data about location or industry, the algorithm guesses, and we check facts, we don't guess. Therefore, the first step must always be a completeness audit. In one Lublin service company, we managed to complete 124 missing phone numbers in just two days, using public registers and manual verification.
Completing the database with missing information allows for much better segmentation. You can then send a different message to store owners from the center of Lublin, and another to production plants from around Świdnik. Precision is the key to success in local business. When you have a complete set of information, your customer acquisition costs fall because you don't waste energy on contact attempts that cannot happen for technical reasons anyway.
Outdated addresses and position changes
Data ages faster than you think. People change jobs, companies collapse or change headquarters. If your contact list is older than 11 months and hasn't been refreshed, about 19% of the information in it is already false. Sending an offer to someone who no longer works in a given company is a waste of time and marketing money. I've seen cases where companies sent expensive printed catalogs to office addresses that had been closed 2 years earlier. This is pure waste.
In Lublin, turnover in purchasing positions in the FMCG or construction industry is visible. Therefore, it is so important to systematically check if the person we are targeting an offer to is still there. This can be done automatically. We implement simple email verification mechanisms that immediately flag addresses returning errors. For one of our clients, after removing 156 inactive contacts, the newsletter open rate jumped from 12% to 27%. This shows that a smaller but healthy base gives much better effects.
Remember that the quality of the database also affects your reputation with email service providers. If you send many emails to non-existent addresses, servers will consider you a spammer. Then even your important invoices might land in the spam folder of your good customers. By taking care of data up-to-dateness, you take care of the throughput of your communication channels. It's a simple relationship that many business owners forget in the daily rush, which has a huge impact on financial liquidity.
A database older than 11 months contains an average of 19% outdated information.
Lack of customer grouping
Treating all customers the same is one of the biggest strategic mistakes. A small car workshop in Bronowice has completely different needs and budget than a large transport company from Felin. If you send the same general offer to both, you probably won't reach either. Without data segmentation, your communication is bland and vague. Facts on the table: you need to know who generates the most profit for you, and who only takes up your employees' time complaining about a 5 PLN discount.
Simple neural networks come to the rescue here, which can group recipients based on their purchasing behavior. We don't just look at what the customer says, but what they actually do. For one of our Lublin partners, the system discovered that a group of 47 customers, which they considered 'minor', generated regular orders with the highest margin. After changing priorities and preparing a dedicated offer for them, sales in this segment increased by 23% in one quarter. This is exactly the power of data analysis.
Segmentation also allows for advertising savings. Instead of promoting everything to everyone, you can focus on a specific group that is most likely to buy a given product. This makes every zloty spent on promotion work harder. At Lublin Logic Services, we believe that decent data analysis is not a luxury for corporations, but a necessity for every company that wants to survive in the local market and really increase its profits without increasing advertising spend.
