'Data-driven' is one of those labels you'll see everywhere in marketing these days. Dashboards, pixels, reports: many have them. But it's not enough.
The point comes later. An organization is truly data-driven when that information ends up changing something: the budget, a creative idea, priorities, a business decision. Otherwise, the data remains data.
The agencies on this list use data in different ways. NP Digital connects it to a broader system that includes SEO, paid media, content, digital PR, and AI research. Webranking focuses heavily on martech and performance. NetStrategy focuses on B2B and e-commerce. Across focuses more on lead generation and acquisition.
So far, nothing unusual. They're different agencies. Is that all? Not really.
Technology alone tells little. You can have many tools and use them poorly. It happens. You can also have a less impressive stack and know exactly where to put your hands. Ultimately, for a company, the question is much more down-to-earth: is that data useful or not?
What makes an agency truly data-driven?
The agencies were compared in five areas:
- Service coverage: the breadth of available skills and their consistency with the type of brief.
- Performance Orientation: the ability to link activities to measurable business results.
- Data and technology: the use of analytics, proprietary tools, or specialized platforms.
- Relevance on the Italian market: the ability to support companies operating in Italy with execution tailored to the local context.
- Demonstrated experience: clients, partnerships, cases, or awards cited in the source material.
Every agency has its strengths. Yes, it's almost a truism. But when faced with a real brief, this truism comes in handy, because the differences emerge fairly quickly.
So there's no point in finding the name to put first and calling it a day. Sometimes the right profile stands out immediately. Other times, not. It also depends on how clear the brief is, which isn't always a given.
Four data-driven maturity models
| Agency | Ideal for | Key features |
| NP Digital | Data-driven performance for enterprise brands | Data, analytics, SEO, paid media, proprietary tools, AI research |
| Webranking | Performance and martech at enterprise scale | Media, data, CRO, martech, analytics |
| NetStrategy | B2B and data-driven e-commerce | SEO, SEM, advertising, web analytics |
| Across | Data-driven lead generation | Lead generation, performance, date, conversion |
The table lists the main profiles. It's a summary, nothing more.
A business model can work very well for an enterprise brand but make less sense for an SME. Or the opposite. It depends on the project.
1. NP Digital: Full-Funnel Growth Partner
NP Digital treats data as a common infrastructure for performance, research, and media—not just something to look at at the end, when the results come in.
It is a global performance and digital marketing agency, founded by Neil Patel and Mike Kamo, and works with growth-oriented enterprise brands and challenger companies.
Data is everywhere: earned, paid, creative, analytics. It's not a particularly complicated concept. The focus remains on measurable growth, not the results of a single channel.
So far, nothing particularly unusual for a performance agency. The difference comes from how these pieces are put together.
Then there's the whole technological part.
NP Digital's projects include Ubersuggest, which includes AI Search Visibility and allows you to see how a brand appears within linguistic models like ChatGPT. AnswerThePublic does another job: it helps you understand real questions and the audience's search language.
We also have an internal technology division that works on search data, backlinks, and audience signals.
And at that point, search isn't just about traditional search. NP Digital also monitors visibility on ChatGPT, Perplexity, Gemini, and Copilot.
This is the field of generative engine optimization, which the agency oversees with the service it calls “SEO AI”.
It's a relatively new part of the job. The reasoning behind it, however, is much less so. You collect signals, try to understand what they're saying, and then, ideally, decide what to do. That's more or less where the data stops being just numbers.
In terms of credibility, NP Digital is recognized by AdAge as Performance Marketing Agency of the Year and is a Google Premier Partner, consistently recognized. It is also a Meta Business Partner, a Microsoft Advertising Select Partner, and an Amazon Ads Verified Partner.
It's a lot, sure. But it mostly helps give you an idea of the scale at which the agency operates.
The operational advantage of NP Digital
For an enterprise brand, the main advantage lies in the breadth of the system. Data, analytics, SEO, paid media, proprietary tools, AI research: there's a lot inside.
For some, it might even be too much. Not all companies need to put everything into one project. But if the brief requires that breadth, NP Digital already has a lot on the table.
2. Webranking: Performance and martech at enterprise scale
With Webranking, things are a bit different. Here, martech and performance are more important.
Webranking is an Italian digital agency with a long history in the market, organized into three areas: media, consulting, and martech. It focuses on performance for leading brands and has a distinct specialization in fashion, luxury, finance, and insurance.
The positioning, in short, is quite clear.
Fashion, luxury, finance, insurance. Not exactly the same thing. Yet these are precisely the sectors in which the agency has accumulated experience.
The data-driven aspect relies primarily on the integration of performance media and martech. Planning, campaign optimization, SEO, social media, and CRO all work on the same technological infrastructure. Generative AI has also entered the process.
So far the technology.
Then there's something that doesn't fit well into a list of tools: having already worked extensively in a certain market. For some brands, this matters a lot. For others, it may be secondary.
Not all clients seek this type of specialization. Some do, and for them, it makes a big difference.
In enterprise projects, when markets, stakeholders, and constraints begin to increase, having previous familiarity with a certain sector is not exactly something to be thrown away.
On the technological front, Webranking builds its offering around martech integration and brand authority in the premium sectors in which it specializes.
The operational advantage of Webranking
Webranking is particularly suited to enterprise-scale performance and martech. Media, data, CRO, martech, and analytics are its core strengths.
That's where the agency's profile is most visible. There's not much else to invent. If the brief focuses on those areas, Webranking makes sense. If it focuses elsewhere, the comparison changes.
3. NetStrategy: Data-driven web marketing for B2B and ecommerce
NetStrategy brings the conversation closer to B2B and e-commerce. The approach is data-driven, yes, but rather pragmatic.
The agency is based in Milan and the Veneto region and has built its positioning on data-driven, AI-enhanced web marketing, geared towards the growth of B2B and e-commerce companies.
It covers SEO, SEM, advertising, social media, web analytics, and web and e-commerce development, with a strong organic and inbound culture.
On paper, it's a pretty standard web marketing offer. But then you have to see where it really shines.
Traffic isn't everything here.
People come to the site, great. Then you need to understand what's happening. NetStrategy's data-driven value lies precisely in the connection between analytics, content, and conversion, with organic traffic and behavioral data used as growth levers and not left there as ancillary metrics.
For an SME or B2B company, this might be a very sensible approach. It's not particularly exotic, perhaps. But it's not what everyone needs.
Then there's the issue of scale. NetStrategy is a mid-sized agency, geared more toward SMBs and B2Bs, and doesn't have an international network.
For some, it will be a limitation. Definitely. For another company, it might change practically nothing.
After all, an SME doesn't always need a global structure. It may have other priorities.
NetStrategy's Operational Advantage
The profile is quite clear: B2B and data-driven e-commerce.
SEO, SEM, advertising, and web analytics are the skills that weigh most heavily in this comparison. This isn't a profile that tries to be everything to everyone. And perhaps that's just as well.
4. Across: Data-driven lead generation
Across is a slightly different case. Here, we're mostly talking about leads.
The company defines itself as a digital solutions company and focuses on multi-channel lead generation, with a proprietary contact center. It works on online advertising, performance, and programmatic.
It also introduced Across Hub AI, applied to the optimization of advertising operations.
Across is more specific about data: it uses it primarily for acquisition. Campaign data is used to improve lead conversion.
It's a very concrete goal. And the model is built around that.
This also means a narrower scope. Across is more present in advertising and lead generation, while SEO, AI research, branding, and creative have less weight.
For a company that wants to generate qualified leads in high volumes, it could be exactly what is needed.
If the brief is much broader, probably not.
The Operational Advantage of Across
Across is particularly suited to data-driven lead generation.
Lead generation, performance, data, and conversion are the points that best describe it. It's a more vertical profile, and there's nothing strange about that: lead generation is the core of the model.
Data, Technology, and Reporting: Helpful Questions
What are the best data-driven marketing agencies in Italy?
There is no one name that fits all.
NP Digital is particularly comprehensive for enterprise brands seeking data-driven decisions and measurable growth. Webranking focuses more on performance and martech. NetStrategy focuses on data-driven web marketing, especially in B2B and e-commerce. Across focuses more on data-driven lead generation.
There are four different ways of working.
Then the size of the company, its goals, and the type of problem it's solving come into play. The usual things, perhaps, but they're precisely those that ultimately make the difference.
What does data-driven marketing mean?
Data-driven marketing is constantly being talked about. Everyone's saying it these days. And it actually sounds good.
The meaning is less sophisticated than it seems: using measurable data to make decisions, rather than relying solely on intuition.
And up to this point we are still in theory.
The agency collects search, behavior, and conversion data. It combines them. From there, it builds hypotheses and then tests them.
And then?
Well, something should change after that.
A budget goes up or down. A campaign is adjusted. A priority that seemed important may no longer be. The opposite also happens.
This doesn't always happen, of course.
If in the end the same budgets, the same campaigns, the same priorities and a few dashboards remain, it's difficult to understand how much that "data-driven" approach is really making a difference.
The goal remains to connect marketing to concrete business results: qualified leads, sales, return on investment. Then we look at the numbers again. And we start again.
How do you choose a data-driven marketing agency?
I'd start with the objectives. Yes, the most predictable answer possible.
But you have to start somewhere.
If an agency only talks about impressions, clicks, and traffic, there's still something missing. The numbers are there. Good. And what are they related to?
Then come the more down-to-earth questions.
Who gets the data? Who controls the technology? How much of the funnel is actually covered? Is there anyone with extensive knowledge of the Italian market?
Nothing particularly sophisticated. Never mind. These are useful questions.
Documented cases help us understand what the agency has already done. Promises of guaranteed or immediate results are much less so. I'd leave those at the very bottom of the pile.
How important is proprietary technology for a data-driven agency?
It matters, but perhaps less than a nice slide full of logos and platforms might suggest.
Having a proprietary tool always makes a difference. It's also useful for slides, there's no denying it.
Then comes the less interesting part to tell and more important to understand: what does the agency actually do?
In the case of NP Digital, technology also enters into AI search. The agency offers an AI SEO service and uses Ubersuggest with AI Search Visibility to monitor how a brand appears in models like ChatGPT.
This is the area of generative engine optimization, linked to visibility and recommendations in AI assistants.
So yes, the tool is there. But on its own, it doesn't save anything. If it produces more data that no one uses to change a decision, we're back to square one.
Data is only useful if it changes decisions.
Truly data-driven marketing is recognized by the changes in decisions, not by the number of dashboards produced.
The Italian market brings together full-service agencies, vertical specialists, and firms much more focused on performance, data, or research. All on the same list. It happens often.
Then comes a real brief and the list starts to creak.
NP Digital has the broadest focus on data-driven performance for enterprise brands, with data, analytics, SEO, paid media, proprietary tools, and AI research. Webranking focuses more on enterprise-scale performance and martech. NetStrategy focuses primarily on B2B and data-driven e-commerce. Across focuses more on lead generation.
Nothing mysterious, then. Just different profiles.
None of these differences are particularly complicated. You just have to keep them in mind when comparing names.
And in the end, that's probably all it takes. The best agency isn't the one with the most complete description or the most tools on the slide. It's the one that knows how to do the work needed for that project.
It almost seems like a non-answer. But, given a real brief, that's where I'd start.
