In recent years, the term ‘data-driven marketing’ has become a mantra. Sometimes it has become a boorish method of marketing to marketing. Everywhere you turn, there’s someone telling you that data is the new oil, that you have to ‘trust the numbers’ and that without analysis you’re bound to burn unnecessary budgets.
Yet, if you think this is a revolution born with social, big data and artificial intelligence… it’s not true.
The roots of data-driven marketing
The truth is that data-driven marketing has always existed. Only, before Excel and Google Analytics, it worked in a more… artisanal way.Take the 1950s, the years when good old David Ogilvy, the father of modern advertising, hammered his clients with a clear concept:
“If you don’t do market research, you are like a general going to war without maps.”
Translated: even without today’s technology, those who wanted to sell intelligently collected data. Sure, there were no real-time dashboards, but the good ones relied on surveys, interviews and sales numbers to understand what worked and what didn’t.
From paper archives to algorithms: the evolution of data-driven
In the 1980s and 1990s, the concept of database marketing began to take hold. Thanks to computerisation, companies began to collect data on customers and transactions, creating the first tailor-made strategies.
Then, with the arrival of digital and tools such as Google Analytics, Facebook Ads and advanced CRM, data-driven marketing accelerated brutally.
Today, we can not only know how many people visit our site, but also what they search for, where they click, how long they stay on a page and even what words convinced them to buy.
You know that saying that goes that “If you are not paying for a product, then you are the product”…
But outside of the ‘social dilemma’, historically, the principle has always been the same: use data to make better decisions.
Why this article?
The problem is that many SMEs still believe that data-driven marketing is the stuff of multinationals, complicated stuff that requires expert teams and expensive software.
Wrong.
In this article I will explain how even a small business can harness data easily and effectively, without the need for huge budgets or degrees in statistics.
I will show you why data-driven marketing is a competitive advantagefor SMEs, what data to collect, how to use it and what tools to adopt.
Most importantly, you will see real examples of companies like yours that have improved their marketing thanks to data.
Why trust only instinct when you have real numbers that can guide you in the right direction?
Why data-driven marketing is a competitive advantage for SMEs
“OK, data-driven marketing has existed for decades. But why should I use it in my small company?”
The short answer is: because it works, full stop.
The long answer is what follows:
The difference between someone who navigates by sight and someone who has a compass
Imagine you have to cross a desert without a map or compass. You have two options:
- Follow your instinct. You feel like that direction is right, so you go. After hours of walking you realise that you are back where you started.
- You use a compass and a map. You check the coordinates, you analyse the terrain, you follow a route based on certain information. You arrive at your destination without wasting time and energy.
Data-driven marketing is exactly that: a compass that helps you make reasoned decisions instead of throwing money at random campaigns.
And no, I don’t say that. The numbers say so.
The data speak for themselves: those who use data win
I don’t want to bore you with endless statistics, but there are some data worth knowing:
- Companies that adopt data-driven marketing strategies have 2.5 times higher ROI than those that do not. (Fonte)
- 64% of companies using predictive analytics see a significant increase in turnover. (Fonte)
- SMEs that use data-driven strategies have a 20% higher customer retention rate than those that rely only on intuition.
Thus, it is no accidentthat companies that base their decisions on data grow faster and spend their budgets better.
More results with less money: optimising the budget
If you are an SME, you probably do not have millions to spend on advertising. And if you are the manager of a multinational company that invoices giga-millions, there is no reason why you should waste your money anyway. That is why every euro invested must lead to some result.
Without data, you risk:
- Spending on channels that do not bring results.
- Talking to an audience that is not interested in your products.
- Create communication campaigns without a clear strategy.
With data, on the other hand, you can:
- Understand where to invest for maximum return.
- Segment your audience and only speak to those who are really interested.
- Continuously test and optimise your campaigns.
In short, it is not a question of having more money, but of using it better.
The power of personalisation: talking to the right customers in the right way
Today’s customers expect a tailored experience, not generic advertisements shot in the heap.
Did you know that 80% of consumers are more likely to buy from a company that offers customised experiences? (Fonte)
And guess what? Customisation is based on data.
Here are a few examples:
- An e-commerce that suggests products based on previous purchases.
- A restaurant that sends targeted promotions to regular customers.
- A shop that uses data to figure out which products to put in the shop window.
In all these cases, it is data that makes the difference between generic marketing and marketing that really works.
What data do you need to collect?
When we talk about ‘data’ we tend to imagine endless spreadsheets, incomprehensible numbers and dashboards full of graphs that seem to be made only for those with a PhD in statistics.
The big news? You don’t have to analyse everything. You just need to know what information is really useful for your business and how to put it together.
I wrote “that’s all you need” but often the hardest thing is just finding the useful information in the midst of the “noise” generated by the multitude of data we have at our disposal. It is not easy, but one learns.
However, I have written an article on this that I recommend you read The Information Puzzle: putting data together to create your perfect strategy.
There you will find more information on how to collect and combine data to get a clear picture of your strategy.
But if you want a quick summary, here are the three key data sources for any SME:
1. Internal data: the hidden treasure in your business
Many companies look for answers in industry reports or market studies, but the truth is that you already have plenty of information at your fingertips.
Here are some examples of internal data that you can easily collect:
- Sales history → Which products or services do you sell the most? Which customers buy most frequently?
- Data from your CRM → Who are your best customers? What preferences do they have?
- Customer feedback → Reviews, emails, comments on social media: all this tells you what works and what to improve.
2. External data: looking beyond your own backyard
In addition to the data you collect, there are also those you can look outside to better understand the market.
Which ones?
- Market trends → Analysing industry trends helps you to forecast future customer needs.
- Competitor comparisons → Looking at what your competitors are doing can give you insights to improve your strategies.
- Social listening → Social media are not just for looking at pictures of kittens! They are a gold mine of information about what people are interested in.
3. Performance marketing data: understanding what really works
The last category concerns data that you can collect directly from your marketing activities.
- Google Analytics → How many people visit your site? What do they search for? Where do they stop and where do they go? Which pages do they find interesting and which pages do nobody give a damn about?
- Ad campaign reports → Which ads convert best? On which platforms do you get the most results? Which audiences respond best to the stimuli you are giving?
- Email open and click rates → Do people read your communications or do they end up straight in the bin? And once they open your email, do they follow your call-to-actions?
And many others that I won’t list here….
The key is not to collect endless amounts of information, but to be able to connect the data that matters in order to make better decisions. The key is to be able to understand what that data tells us.
Data alone are of no use. It is the use you make of it that makes the difference
How to use data to improve marketing strategies
The risk with data is always the same: collect tons of it, look at it with a puzzled look and then … continue to do everything as before.
But no. Data must serve something, it must guide you in your choices, it must make your marketing work better.
Let’s see how.
Analysing customer behaviour
The first question to ask yourself is: who are my customers really?
And beware, it is not worth answering “anyone who might be interested”. Because if you try to talk to everyone, you end up talking to no one.
That’s where the buyer personas come in, those detailed profiles that allow you to understand who your ideal customers are, what they want and how to communicate with them.
I talked about this in detail in this article.
What should you do?
- Segment your customers: divide your audience into groups with common characteristics.
- Analyse their behaviour: what do they buy? When? Why?
- Create tailor-made offers and messages, instead of talking to everyone in the same way.
Identify the most profitable customers
The best customers are often already in your database. The problem? You don’t know how to recognise them.
There is a very simple method to do so: the RFM (Recency, Frequency, Monetary)analysis.
I have discussed it in detail in this article.
What should you do?
- Use the RFM method to work out who your best customers are.
- Reward those who buy often and spend more.
- Don’t waste time and budget on occasional customers with low value.
Improve customer retention
Once you have identified your best customers, the next step is to keep them close.
Because the most profitable customer is not the one who buys once, but the one who comes back and spends again.
Three data-driven strategies come into play here:
- Personalise communication: Use data to send targeted offers, instead of generic newsletters that end up straight in the bin.
- Smart loyalty programmes:Not just any points card will do. The best loyalty programmes use reward systems that adapt based on the customer’s actual behaviour.
- Automation and retargeting → If a customer has already purchased from you, get them tailored promotions and exclusive offers.
I have discussed this in detail here.
What do you have to do?
- Use data to create customised offers.
- Use marketing automation to avoid losing customers.
- Do retargeting to convince those who have already bought to come back.
Success stories? No, very simple examples to understand how data makes a difference
Having reached this point, you might expect to read official case studies, with precise numbers, percentages to the thousandth and reports of hundreds of pages.
No.
What you find here are simple examples, built specifically to make you realise how numbers can help any business, from the very small family business to the large enterprise.
Here are four scenarios that could apply to anyone.
1. The clothing shop has discovered its ideal customer
- Scenario: A small fashion shop sells both physical and online.
- Problem: Customers seem to arrive randomly, with no real pattern.
- Data analysed: Purchase history reveals that some customers return periodically for a specific product line.
- Data-driven action: The shop sends customised offers to these customers and creates a dedicated section on the site.
- Expected result: Increased rate of return without having to invest in generic advertising.
- Key message: Data can tell you who your best customers are and how to retain them with targeted offers.
2. The accommodation that filled empty rooms without selling out
- Scenario: A small family-run B&B has months when bookings are scarce.
- Problem: Lowering prices indiscriminately risks reducing the profit margin.
- Data analysed: Past bookings show that some customers return every year at certain times.
- Data-driven action: The B&B sends customised offers to regular customers to convince them to stay even in the less popular months.
- Expected result: more bookings without having to lower prices for everyone.
- Key message: Data helps you understand when and how to boost sales without selling out your product.
3. The restaurant that has realised its strength through reviews
- Scenario: A neighbourhood restaurant has good reviews, but during the week the restaurant is often half empty.
- Problem: It does not know how to attract more customers on weekdays.
- Data analysed: Online reviews show that many customers appreciate the quick service at lunchtime.
- Data-driven action: The restaurant starts promoting a ‘business menu’ for working people, focusing on speed of service.
- Expected result: Increase in the number of covers on weekdays without the need for large discounts.
- Key message: Often the secret to better sales is already in front of your eyes in the data you have, you just have to interpret it.
4. The small production company that has stopped throwing money at advertising
- Scenario: A company producing handmade cosmetics invests in online advertising, but the results are poor.
- Problem: The advertisements do not seem to bring enough sales.
- Data analysed: The sales history shows that customers often buy certain products in combination with each other.
- Data-driven action: The company stops promoting individual products and starts advertising packages designed on actual purchasing behaviour.
- Expected result: increased average order value and less wasted advertising budget.
- Key message: Sometimes you just have to look at the sales data to understand what to promote best and where to invest money.
These are not real cases, but very simple examples, because the point is not to tell you sensational stories.
The point is to make you realise that even with the most basic data you can improve your marketing and make smarter decisions.You don’t have to have a business division dedicated to data analysis, you don’t have to spend fortunes on complex software. You just start looking at the right numbers and use them to guide your choices.
