Batory Foods Inc

Using Analytics to Guide Marketing Decisions

Analytics has made me skeptical of taking marketing metrics at face value. Traffic can look great. Engagement can look great. Lead volume can look great. None of that necessarily means the marketing is doing anything useful for the business.

I usually start by asking, what are we trying to change? Are we trying to generate new opportunities? Grow an existing customer? Introduce customers to another product category? Make it easier for sales to identify intent?

Once I know that, I can work backward and determine what we should measure and which channels need to be leveraged to accomplish that goal.

I firmly believe in trusting instinct and creativity, but analytics gives you a way to pressure-test those instincts. Sometimes the thing everyone assumes is working really is not, and sometimes a channel that looks small on the surface is quietly producing some of your best opportunities.

Role of Data in Turning Digital Activity into Business Outcomes

Data is basically the keystone of a business. It is what connects marketing activity to decisions that move the business forward. A form filled by itself is not a qualified lead. Good data allows us to pre-qualify a potential customer before sales get involved by understanding whether the company needs location, timing and opportunity fit the business.

That matters in B2B because not every inquiry deserves the same level of attention. The goal is not just to generate more leads. It is to identify the right opportunities, give sales the context they need and move qualified prospects forward more efficiently.

That is why I spend so much time thinking about CRM structure, lead routing, form strategy, integrations and data quality. Those pieces are what turn digital activity into something actionable instead of just another number on a dashboard.

Balancing Performance with Long-Term Brand Value

I do not really see performance goals and brand value as two separate things. A strong brand should make performance marketing easier.

If people understand who you are, what you do and why they should trust you, every other part of marketing has less work to do. Sales have less explaining to do, campaigns convert more efficiently and customers are more likely to come back when they have another need.

“Data is basically the keystone of a business. It is what connects marketing activity to decisions that move the business forward.”

The difference is really timing. Performance can often be measured quickly. You can see a conversion, a lead or an opportunity. Brand value is built through repeated interactions over a much longer period.

For me, the balance is making sure the short-term goal does not undermine the long-term relationship. Not every interaction needs to push someone directly into a sales conversation. Sometimes the most valuable thing marketing can do is answer a question, solve a problem or make it easier for someone to understand what you can offer them.

Especially in B2B, being useful is part of building the brand.

Using AI to Strengthen B2B Marketing Data

I think one of the biggest shifts in digital marketing will be how AI is used behind the scenes, especially for CRM data hygiene. There is a lot of attention on generative AI, but I am much more interested in what happens when AI starts helping businesses maintain cleaner, more complete and more useful customer data.

B2B databases get messy quickly. Companies change names, contacts move jobs, records get duplicated, fields are incomplete and information gets entered differently across teams. Over time, that makes segmentation, reporting, lead routing and even basic decision-making less reliable.

AI has the potential to continuously identify those gaps, standardize information, enrich records, flag inconsistencies and help keep the CRM usable without relying entirely on manual cleanup.

To me, that is where the real impact is. Better data improves almost everything built on top of it. Marketing can target more accurately, sales receive better context, automation becomes more reliable and reporting becomes something you can trust.

AI does not need to be the thing creating the campaign. Sometimes, its biggest value is making sure the systems underneath the campaign work.

Advice for Emerging Marketing Professionals

My advice for upcoming marketing professionals is to learn how the whole thing works. Do not stop at becoming good at one platform. Learn what happens before a lead gets to marketing, what happens after marketing hands it off and where the data goes from there. Follow a lead through the website, CRM, sales process and eventually into whatever system records the revenue. You start noticing quickly where things break.

I also think marketers need to get comfortable working outside the traditional marketing box. Learn enough about sales, operations, finance, IT and data to understand what those teams care about and how your work affects them.

Platforms are going to change. They always do. The more durable skill is being able to walk into a messy system, figure out what is actually happening, ask the right questions and connect marketing activity back to a real business problem.