# Daniel Stieber: Database Campaigns That Opened New Reach for an Agency > How Vienna advertising agency Daniel Stieber Werbeagentur opened new reach with a clean, matched contact database and Mailchimp campaigns in waves. - URL: https://unfair.at/cases/danielstieber/ - Author: Elias Oender, Unfair Advantage Marketing ## The quick answer Daniel Stieber Werbeagentur, a Vienna agency for marketing, communication and tech, opened new reach with email: a contact database built from several sources, deduplicated and matched, and Mailchimp campaigns that put the agency in decision makers' inboxes. Each wave added new contacts from new sources, so every wave reached people the last one had not. ## What Did Daniel Stieber Gain From Database Campaigns? Daniel Stieber Werbeagentur gained new reach: its message in the inboxes of the people it wants to work with, carried by a contact database clean enough to trust. The Vienna agency combines marketing, communication and tech, and new business starts with reaching the right people. For Daniel Stieber, we built one database from several sources, deduplicated and matched, then turned it into Mailchimp campaigns. The first wave put the agency straight into decision makers' inboxes. The second wave added new contacts from new sources, so the campaign reached people the first one had not. Deduplication and matching meant one contact, one email, with the right name and company attached. That is reach an agency owns, and it grows with every source added. ## Why Does a Clean Contact Database Decide an Email Campaign? A clean contact database decides an email campaign because the list sets the ceiling for every result that follows: reach, replies and reputation. A duplicate sends the same person two emails and makes a careful agency look careless. A dead address bounces, and [as Mailchimp's help centre explains](https://mailchimp.com/help/soft-vs-hard-bounces/), a hard bounce is removed from the audience straight away: reach that was never there. Mismatched names and companies turn a personal message into an obvious mass mailing. Cleaning before sending turns all of that into gains: more real people reached per send, a sender reputation that holds and a message that reads as if it was written for the recipient. For an agency that sells communication, that first impression is the pitch. ## How Do You Build One Database From Several Sources? You build one database from several sources by matching every record to the real person behind it, then keeping one best version of each. Data specialists call this [record linkage](https://en.wikipedia.org/wiki/Record_linkage): finding the records that refer to the same entity across different data sources. In practice it means comparing names, companies and email addresses, merging the duplicates and keeping the most complete details for each contact. Mailchimp blocks duplicates inside one audience, yet [it counts the same address in two audiences as two people](https://mailchimp.com/help/remove-duplicates-and-bounces-with-excel/), so the matching pays off most before the import. For Daniel Stieber, that groundwork produced a single, clean database ready to sell from, with every source adding reach and none adding noise. ## How Did Mailchimp Turn the Database Into Reach? Mailchimp turned the database into reach by putting the agency's message directly in front of the contacts it had chosen, in a format they open on their own time. For Daniel Stieber, we built the campaigns in Mailchimp and sent them to the fresh database, so the agency spoke to its prospects without waiting for them to find it. Email is one of the few channels where a company owns the connection: no social feed decides who sees the message, and no platform rents the audience back. Mailchimp also shows who opened and who clicked, which tells the agency where interest is warmest and who deserves a personal follow-up. Reach becomes a list of conversations worth having. ## Why Run a Database Campaign in Waves? Running a database campaign in waves lets each send build on the last: the first wave proves the message, the next carries it to new people. For Daniel Stieber, each wave added new contacts from new sources, so reach grew without mailing the same people again and again. Waves also protect the sender. A steady rhythm of well-targeted sends looks healthier to inbox providers than one giant blast, and it leaves the agency time to answer every reply personally. In any wave campaign, each round is a fresh chance to sharpen the list, the subject line and the offer. Run this way, a database campaign compounds: more contacts, better data and a warmer audience with every round. ## What Can Agencies Take From Daniel Stieber's Campaigns? Agencies can take one lesson from Daniel Stieber: the strongest new business channel is a list you own, built clean and used with care. Gather contacts from every relevant source, match them into one record per person and send in waves that each reach someone new. The investment sits in the data, and the data keeps paying back with every campaign that follows. At Unfair Advantage Marketing, we treat contact data as an asset that should grow in value with each send. Today we run the same sourcing discipline with AI agents in Force, our lead engine, as the [4am Studio case](https://unfair.at/cases/4am/) shows. The principle is the one Daniel Stieber put to work: reach the right people directly, and make the first message worth opening. Find out how much reach is waiting in your own contacts by [booking a call](https://unfair.at/book/). ## Frequently asked questions ### What did Unfair Advantage Marketing do for Daniel Stieber Werbeagentur? We built a contact database for the Vienna agency from several sources, deduplicated and matched, and turned it into Mailchimp campaigns. The campaigns ran in waves, and each wave added new contacts from new sources, so the agency's message reached new decision makers every time. ### Why should you deduplicate a contact list before sending? Duplicates send the same person the same email twice, which costs trust and makes a brand look careless. They also inflate the list size and distort open and click rates. A deduplicated list reaches more real people with every send. ### What is record linkage? Record linkage, also called data matching or entity resolution, is the task of finding records that refer to the same person or company across different data sources. It is how several contact lists become one clean database. Matching usually compares names, companies and email addresses before records are merged. ### Does Mailchimp remove duplicate contacts automatically? Within a single audience, yes: Mailchimp scans imports and adds each address only once. Across separate audiences it does not, and the same email in two audiences counts as two contacts. Combining lists into one primary audience, or matching them before the import, keeps every person in the database once. ### What happens to bounced emails in Mailchimp? A hard bounce means an address cannot receive email for a permanent reason, and Mailchimp removes it from the audience right away. That protects deliverability, and it also means a list full of dead addresses shrinks fast. Cleaning before the first send keeps the effort on contacts that exist. ### Why send an email campaign in waves? Waves let each send build on the one before: the first proves the message, the next carries it to new contacts. A steady rhythm also looks healthier to inbox providers than a single large blast. And it leaves time to answer every reply personally. ### How much does a database email campaign cost? It depends on how many sources feed the database, how much matching the data needs, the size of the list and the email tool's plan. The bigger cost driver is usually the data work, which also creates the most value. A call is the quickest way to size it for your list. ### Can a small agency run its own database campaigns? Yes. A clean list, a clear message and a tool like Mailchimp are enough to reach decision makers directly. What separates a campaign that opens doors from one that lands in spam is the quality of the data and the care in every send.