Part 5: What Modern Sales Automation Looks Like in Practice.

Tutti gli articoli Jochen Seelig il 08/06/2026
Modern Sales Automation
Over the past four articles, we have assessed problems, concepts and arguments. In the fifth part, things get practical. We follow a typical mid-sized company as it builds a complete sales workflow with DataAgents and show what changes as a result.

The starting point.

Picture this: A typical German mid-sized machine-building company. Around 150 employees, twelve of them in Sales. The company exhibits at two to three major industry trade shows per year, plus smaller regional events. At each trade show, between 100 and 400 contacts are captured. In past years, significantly fewer have made it into the CRM; some are lost in follow-up, others created as duplicates.

The Head of Sales knows something is wrong. He runs the numbers: After every major trade show, four salespeople spend a total of around 40 hours on follow-up. Business cards get typed in manually. Conversations are reconstructed from scribbled notes. Datasets are created in the CRM. Follow-up emails are written. Four weeks later, half of the leads still have not been contacted. A measurable portion has already gone cold before the first conversation has even taken place.

With DataAgents, this process is redesigned. The goal is not to automate everything at once, but to fully build a clearly defined workflow that will run immediately after the next trade show.

Step 1: It all starts with a simple trigger.

The workflow starts as soon as a trade show contact is captured with VisitReport. This happens directly at the booth on the salesperson’s tablet or smartphone. They capture the name, company, job title, contact information and a brief conversation summary with interests and next steps.

As soon as the conversation is complete and saved, the workflow starts running in the background. The salesperson doesn't notice it. They end the conversation, close the tablet and move on to the next visitor.

Step 2: Enriching company data.

In the first workflow step, the captured company data is enriched. The full legal form is derived from the company name, the address is validated and completed, the industry is assigned automatically, and the employee count is added. If the company belongs to a larger corporate group, this affiliation is identified.

This step isn't optional. Only when it becomes clear that the seemingly small prospect actually belongs to a group with 2,000 employees can Sales respond appropriately. Only when the industry is correctly assigned can the lead automatically be routed to the right industry owner.

Step 3: Duplicate check against the CRM.

In the next step, the workflow checks whether the contact or the company already exists in the CRM. There are three possible scenarios.

The company is new and the contact is new. In that case, a new record is created, including all enriched information and the conversation notes as the first activity entry.

The company exists, but the contact does not. In that case, the new contact is created under the existing company and the relationship is mapped correctly.

Both the company and the contact already exist. In that case, the existing record is updated. Outdated fields are completed, the conversation notes are attached as a new activity, and the contact is tagged with the respective trade show.

None of these cases produce a duplicate. This step fixes what was the main source of past data quality problems.

Step 4: Getting assigned to the right salesperson.

The workflow then decides which salesperson the lead is assigned to. The rules were defined by the head of sales: by region, by industry, by company size. A machine-building company in Bavaria with more than 500 employees goes to the key account owner, a smaller prospect from northern Germany to the relevant regional representative.

Previously, this logic was distributed in the minds of the two heads of sales and discussed anew for every lead. Now it is defined as a binding rule in the workflow.

Step 5: Notification and handover.

The responsible salesperson receives, for example, a message in their instant messenger (Teams, Slack) or an email. It contains the contact’s name, the company, a summary of the conversation and a direct link to the record in the CRM. If the salesperson is busy at the booth, they will see the message later in the day. If they are in the office, they will know within minutes that a relevant contact for them has been created at the trade show.

Step 6: Automated follow-up.

In parallel, the workflow sends a personalized follow-up email to the trade show contact. The email is not generic; it refers directly to the conversation. The sender is the responsible salesperson, and the signature is their own. In terms of content, the email picks up the main interest recorded in the conversation notes and proposes a concrete next step, usually an in-depth phone call or an online demo.

This means the trade show contact receives a personalized message in their email inbox within just a few minutes of the conversation. The likelihood that this contact moves to the next stage is significantly higher than with an email that arrives two weeks later, when the recipient barely remembers the meeting.

What has changed for the company.

After the first trade show with this workflow, the head of sales takes stock. Instead of 40 hours of follow-up work, about 8 hours remain for quality-checking the enriched records and handling special cases where the workflow flags uncertainties. The salespeople have a complete, clean CRM inventory available the day after the trade show instead of only after three to four weeks.

The number of leads actually contacted is significantly higher than before. Not because more people are working, but because fewer leads are lost in the pile. Initial analysis after three months also show a measurably higher conversion rate from trade show contact to real sales appointment. The main reason: The quick, personalized response right after the conversation reaches the prospect’s attention at the right moment.

A process that was previously accepted as a necessary evil has become a competitive advantage.

What the workflow cannot do.

It is important to be clear about what doesn't happen here. No one was replaced by a machine. The salespeople still have the conversations, build relationships and close deals. What has changed is the reduction of data related work, which previously stole time from exactly these core tasks.

Nor was an IT project launched. The workflow was built in DataAgents by the Head of Sales together with one of his salespeople, based on a prebuilt template for this specific use case. IT wasn't involved at any point. Adjustments to the workflow after the first trade show were also made within the sales team itself, in the afternoon, with no ticket and no waiting time.

Where you can start yourself.

If this example has convinced you, the next step is pretty straightforward. DataAgents can be positioned in your specific situation in a non-binding initial conversation. Together we look at which sales processes in your company consume the most time and which workflow would have the greatest effect as a first step. If you wish, we can support you during the initial setup.

Via our product page DataAgents you can easily schedule a demo appointment. We'd be glad to discuss your sales processes.

This wraps up the five-part series. If you found it helpful, share it with colleagues who are also asking themselves how sales data work in their company could be improved.