Growth hacking for SMEs is not about looking for viral tricks or growing at any price. It is a way of working based on detecting the main brake on growth, formulating a hypothesis, executing a controlled experiment and deciding with data whether it should be maintained, modified or discarded.
Applied to a service or B2B company in Madrid, it can mean something as specific as improving a Google Ads campaign, creating a specific page for a service, measuring calls and forms, reducing commercial response time or automating the monitoring of opportunities that are lost today.
Quick Answer: Growth hacking is a process of rapid, measurable experimentation throughout the customer journey. Your goal is not to get more traffic alone, but to find repeatable actions that generate opportunities, customers and revenue profitably.
In this guide we explain what it really means, how it differs from growth marketing, what experiments an SME can apply and how to organize a 90-day plan without turning marketing into a succession of occurrences.
Index
- What is growth hacking
- Why it makes sense for SMEs in Madrid
- Growth hacking, growth marketing and digital marketing
- How a growth process works
- Examples for service and B2B SMEs
- 90-day growth plan
- What metrics should be measured
- How much does it cost to apply it
- Frequent errors
- How to choose an agency in Madrid
- Frequently asked questions
What is growth hacking
The term growth hacking is used to describe a process of rapid experimentation in marketing, product, sales and customer experience aimed at accelerating growth. The central idea is not to use a specific tool, but to quickly learn which levers produce a business result and which only consume resources.
A serious growth process combines five elements:
- A specific business objective. For example, increase valid quote requests, not simply visits.
- Reliable measurement. Forms, calls, meetings, proposals and sales must be traceable to their origin.
- Hypothesis. Each action must explain what is expected to improve, for whom and why.
- Limited experiments. A relevant variable is changed for a sufficient period to obtain useful information.
- Decisions. An experiment is scaled, adjusted, or stopped depending on the data and the quality of the opportunities obtained.
Therefore, posting more on social networks, installing an artificial intelligence tool or launching a campaign does not constitute growth hacking in and of itself. It is when those actions are part of a learning system and have a measurable relationship with growth.
Why it makes sense for SMEs in Madrid
Madrid brings together a large, competitive and very fragmented market. According to the Community of Madrid, 99.7% of the approximately 512,000 companies in the region are SMEs and the vast majority are microSMEs. Furthermore, in 2025, 28,348 new companies were formed in the region, 22.2% of those created in Spain during that year. (Comunidad de Madrid, business creation data)
In such an environment, an SME cannot always compete by increasing the advertising budget indefinitely. You need to make better use of each visit, respond sooner, differentiate your proposal and know which channel generates clients with margin.
The digital context also shows room for improvement. Eurostat notes that in 2025 around 71% of SMEs in the European Union reached at least a basic level of digital intensity, still far from the European target of 90% by 2030.
For a Madrid SME, growth is especially useful when any of these problems exist:
- visitors arrive, but few people contact;
- you invest in advertising, but the quality of the leads is not known;
- marketing measures forms and sales measures contracts, without connecting both data;
- opportunities receive a late or irregular response;
- many proposals are made, but few advance;
- old contacts are not followed up;
- the company depends on recommendations and wants to create a predictable recruitment channel;
- several tools exist, but they do not form a coherent business process.
Growth hacking, growth marketing and digital marketing
The three concepts are related, but they do not mean exactly the same thing.
| Concept | Main focus | Horizon | Example |
|---|---|---|---|
| Digital Marketing | Execute channels such as SEO, advertising, content, email or social networks | Continuous | Manage Google Ads campaigns |
| Growth hacking | Learn quickly through prioritized experiments | Short and medium term | Test a specific landing and a new response process |
| Growth marketing | Turn learning into a sustainable acquisition, conversion and retention system | Medium and long term | Integrate campaigns, CRO, CRM, automation and revenue analysis |
A company can do digital marketing without working with a growth methodology: for example, publishing content every month without defining what hypothesis is being tested. You can also perform isolated experiments without building a stable system.
The strongest option for an SME is usually to use growth hacking as an experimentation method within a growth marketing strategy. Experiments uncover opportunities; The strategy turns successes into repeatable processes.
Growth does not mean growing at any price
A campaign can duplicate leads and still worsen business if those contacts do not have a budget, fit or purchase intention. Likewise, an automation can save time but hurt conversion if you send impersonal messages at sensitive times.
Growth must be evaluated with real constraints:
- margin of each service;
- ability of the team to serve new clients;
- length of the sales cycle;
- acquisition cost;
- closing rate;
- customer permanence and value;
- data protection and consent;
- quality of the experience offered.
The right question is not "how do we get more leads?", but:
What change can generate more valid opportunities or more profitable sales without deteriorating the customer experience?
How a growth process works
1. Define the business result
The objective should describe a result that has value for the company. “Increase traffic” is too broad. "Going from 20 to 30 valid budget requests per month while keeping the cost per opportunity within the expected range" allows you to make decisions.
For a B2B company with a long cycle, the goal may be to increase qualified meetings or accepted proposals. For a local business, it may mean increasing answered calls, reservations or visits to the establishment.
2. Build a minimum reliable measurement
Before experimenting, it is necessary to check which data exists and which is missing. At a minimum, it is advisable to register:
- contact source and campaign;
- service you are interested in;
- form, call, WhatsApp or channel used;
- if the lead is valid;
- if a meeting was held;
- if a proposal was submitted;
- whether the opportunity was gained or lost;
- income and, where possible, margin generated.
Google Analytics allows you to mark actions important to the business as key events and use these events to create conversions in Google Ads. However, the technical setup must be verified: measuring a button click is not necessarily equivalent to measuring a real opportunity. (Official Google Analytics Help)
The measurement must also respect the applicable regulations. If cookies or similar technologies are used for analytics, advertising or tracking, it is necessary to review the consent and information provided to the user in accordance with the AEPD guidelines. (Guide on the use of cookies)
3. Locate the main bottleneck
Not all businesses need more traffic. The brake may be in another part of the route:
| Stage | Trouble signal | Possible experiment |
|---|---|---|
| Capture | Few relevant visits | New campaign or content for a search with commercial intent |
| Conversion | Many visits and few contacts | Rewrite the proposal, simplify the form or strengthen the trust test |
| Qualification | Many leads without fit | Add qualification questions and adjust targeting and messaging |
| Tracking | Unanswered opportunities | Create notifications, automatic assignment and a follow-up sequence |
| Closing | Many proposals and few sales | Review offer, objections, cases, scope and business process |
| Retention | Customers who do not continue | Improve onboarding, value communication and results review |
Working on the bottleneck first avoids investing in more traffic to feed a process that is already losing opportunities.
4. Formulate a testable hypothesis
A useful hypothesis has this form:
If we make this change for this segment, we hope to improve this metric because this evidence exists.
Example:
If we create a specific landing page for professional offices in Madrid and align the ad with their main objections, we hope to increase the proportion of valid requests because the current page mixes several sectors and services.
The hypothesis requires explaining the reasoning before knowing the result. That reduces the temptation to interpret any variation as a success.
5. Prioritize experiments
A list of ideas is not a strategy. Each experiment can be evaluated according to:
- expected impact on the primary metric;
- confidence based on data, interviews, recordings or previous experience;
- technical, economic and operational effort
- learning speed;
- commercial, technical or legal risk
Priority should typically fall on experiments that solve an obvious problem, can be measured, and do not require rebuilding the entire system.
6. Run without mixing too many variables
If you change the audience, the offer, the page, the price, and the sales process at the same time, it will be difficult to know what produced the result. It is advisable to limit the test, establish a minimum duration and document the conditions.
Google recommends correctly implementing A/B testing to avoid confusing search engines, using temporary redirects when appropriate and avoiding cloaking practices. (Google best practices for A/B testing)
7. Learn, document and scale
At the end, the experiment should record:
- hypothesis;
- change made;
- period;
- affected segment;
- investment and resources;
- quantitative result;
- qualitative observations;
- decision: escalate, repeat, modify or stop.
A negative result can also have value if it avoids months of investment in a wrong idea.
Examples of growth hacking for service and B2B SMEs
The following examples are illustrative hypotheses, not results attributed to N1 clients. Each company must validate them with its own data.
1. Google Ads connected to a specific landing page
Situation: A consulting firm sends all its ads to a general page that presents six services.
Experiment: create a landing page for the most profitable service, with the same search language, related cases, frequently asked questions and a short form.
What to measure: valid opportunity rate, cost per opportunity, meetings held and sales; not just clicks or forms.
This experiment connects Google Ads in Madrid with the optimization of the post-click experience.
2. Reduce commercial response time
Situation: The forms arrive by mail and may take several hours to be processed.
Experiment: send the lead to the CRM, assign a person responsible, create an immediate alert and automatically confirm receipt without pretending that the message has been written by a person.
What to measure: average time to first contact, percentage of leads contacted, meetings and sales.
sales automation should eliminate repetitive tasks and improve continuity, not replace the judgment of the sales team.
3. Improve a form that generates abandonment
Situation: The page receives relevant traffic, but few people fill out a long form.
Experiment: request only the data necessary to start the conversation and move secondary questions to a later stage.
What to measure: form start and completion, lead quality, and meeting rate. A shorter form is not an improvement if it multiplies contacts without matching.
The analytics and CRO allow you to detect friction and check if the change improves the real result.
4. Recover untracked opportunities
Situation: a proposal is sent and the contact is forgotten if they do not respond.
Experiment: Create a brief and respectful sequence with internal reminders, an email that resolves frequent objections, and a task for personal follow-up.
What to measure: responses, reactivated meetings, recovered proposals and sales.
Tools like n8n can connect forms, CRM, email and internal notices, always with supervision and clear rules.
5. Create content for a pre-purchase question
Situation: the team repeatedly answers questions like “how much does it cost?”, “how long does it take?” or "what does it include?".
Experiment: publish a complete guide, link to it from the business page and use it during sales tracking.
What to measure: qualified visits, content-assisted inquiries, time to decision, and subsequent conversions.
The content must resolve the question clearly. Hiding the answer to force contact usually generates mistrust.
6. Reactivate contacts with permission
Situation: There are former clients or leads who could need a complementary service, but a reactivation process has not been defined.
Experiment: segment contacts by relationship, need and legal basis; send a useful and specific communication; facilitate a clear exit.
What to measure: responses, meetings and sales, as well as cancellations and complaints.
Before using a database, its origin, the information provided and the applicable legitimacy must be checked. Growth does not justify indiscriminate communications.
7. Turn a service into an offer that is easier to buy
Situation: The prospect does not understand the scope, process or next step.
Experiment: present an initial package with specific problem, deliverables, duration, conditions and call to action.
What to measure: valid requests, decision time, objections and closing rate.
In B2B services, reducing uncertainty may be more important than adding features or discounts.
90-day growth hacking plan
A quarter is usually enough to organize the measurement, run several small experiments and obtain learnings, although it does not guarantee a certain increase in sales.
Days 1–15: diagnosis and measurement
- define the objective and the main metric;
- review campaigns, pages, forms, calls and CRM;
- verify events and conversions;
- analyze the quality of leads by origin;
- interview sales or whoever answers questions;
- identify the main bottleneck;
- create a baseline with the available data.
Deliverable: journey map, prioritized problems and measurement plan.
Days 16–30: backlog design
- formulate between 10 and 20 hypotheses;
- estimate impact, confidence, effort and risk;
- select two to four initial experiments;
- define responsible person, metric, duration and decision criteria;
- prepare pages, messages and necessary automations.
Deliverable: prioritized backlog and files of the first experiments.
Days 31–60: first round of experiments
- publish the first set of changes;
- check that the measurement works;
- review the quality of contacts during the test;
- avoid improvised changes that invalidate the comparison;
- collect comments from clients and sales team.
Deliverable: preliminary results and documented decisions.
Days 61–90: second round and consolidation
- escalate whatever has shown a consistent signal;
- correct or remove what doesn't work;
- execute a second round based on learning;
- automate only the steps already validated;
- create a simple dashboard for marketing and sales;
- define the next quarterly cycle.
Deliverable: initial growth system, documentation and roadmap.
What metrics should be measured
The appropriate metric depends on the business model. For a service SME, this set is usually more useful than isolated visibility metrics:
| Metric | Calculation | What helps to understand |
|---|---|---|
| Lead conversion rate | Leads ÷ visits × 100 | Ability of the page to generate contacts |
| Valid opportunity rate | Valid leads ÷ total leads × 100 | Quality of recruitment |
| Cost per opportunity | Capture investment ÷ valid opportunities | Channel commercial efficiency |
| Meeting fee | Meetings held ÷ valid opportunities × 100 | Effectiveness of contact and qualification |
| Closing rate | New clients ÷ valid opportunities × 100 | Ability to convert opportunities into sales |
| Acquisition cost | Attributable marketing and sales costs ÷ new customers | Real cost of getting a client |
| Response time | Time between the consultation and the first useful contact | Business process speed |
| Income or margin by channel | Income or margin attributed to each origin | Economic contribution of the channel |
Cost per lead should not be analyzed in isolation. A channel with more expensive leads may be better if it generates clients with a higher closing rate, margin or permanence.
How much does it cost to apply growth hacking in an SME
There is no single rate because the cost depends on the starting point. A company with analytics, CRM and sufficient volume needs a different job than another that still receives contacts in several trays without registering their origin.
The budget may include:
- audit and strategy;
- analytics and conversion settings;
- design or improvement of landing pages;
- campaign management;
- customer research;
- automations and integration with CRM;
- analytics, testing or communication tools;
- content production;
- monitoring and analysis of experiments;
- advertising investment, which is normally budgeted separately.
As a guide, it is advisable to request the budget in phases:
- Diagnosis and measurement. What will be reviewed, what will be configured and what decisions will it allow to be made.
- First cycle of experiments. Number of hypotheses, pages or processes included and evaluation criteria.
- Continuous optimization. Frequency of analysis, new experiments, reporting and coordination with sales.
A professional budget should indicate what tools, production and media investment are included; who owns the accounts and data; what the client needs to contribute; and how the work will be evaluated. The promise of a guaranteed result in a few weeks is a sign of risk.
When it is not the right priority
Growth hacking does not correct structural problems by itself. It may not be the priority when:
- the service does not yet solve a clear need;
- the business does not know its margins or its delivery capacity;
- there is no person responsible for addressing opportunities;
- the company cannot absorb more demand;
- it is intended to automate a process that still changes every week;
- there is no budget or volume to obtain useful data;
- The real objective is to build a long-term brand and immediate attribution is required for each action.
In these cases, the offer must first be clarified, the operation improved, or a basic measurement established.
Frequent errors
Confusing speed with improvisation
Experimenting fast does not mean releasing changes without control. Useful speed comes from reducing the scope of the test and shortening learning, not from eliminating measurement.
Measure volume only
More forms does not mean more business. The evaluation must reach at least as far as the valid opportunity and, when the cycle allows, until the sale and the margin.
Buy tools before defining the process
A CRM or automation does not solve a bad qualification or a confusing proposal. First the process is designed; Then the necessary technology is selected.
Copy tactics from large platforms
A referral program that worked for a global application may not make sense for a professional firm. The experiment should start from the journey, the customers and the economy of the company.
Declare winner too early
Low data, seasonality, changing campaigns, or differences between segments can produce misleading signals. It is advisable to document the limitations and avoid outright percentages when the sample does not support them.
Automate without supervision
Artificial intelligence can help classify, summarize or prepare responses, but sensitive messages, business decisions and the use of personal data require human rules and control.
How to choose a growth marketing agency in Madrid
Proximity can facilitate meetings and knowledge of the local market, but it is not a substitute for method. Before hiring, it is advisable to ask:
- How will you connect marketing with opportunities and sales?
- What will you review before proposing new channels?
- How do you decide which experiment to run first?
- How much of the work corresponds to strategy, implementation and analysis?
- Who will own the ad accounts, data, domains and automations?
- How do you distinguish a lead from a valid opportunity?
- What do you need from the sales team?
- How do you document failed experiments?
- What tool, creative and media costs are not included?
- How do you apply privacy, consent and security?
Be wary of a proposal focused solely on tools or that guarantees a growth figure without having analyzed the starting point.
At N1 we understand growth as a system that connects capture, measurement, CRO, automation and commercial monitoring. For service companies and B2B marketing, the objective is not to generate apparent activity, but to discover which actions produce opportunities and sales profitably.
FAQ
What is growth hacking explained simply?
It is a method of finding growth opportunities through small, measurable experiments. A problem is identified, a change is proposed, its effect is measured and it is decided whether it should be escalated, modified or discarded.
Is growth hacking useful for a traditional SME?
Yes. It does not require being a startup or developing an application. A clinic, consulting firm, industrial company, office or local business can use it to improve recruitment, conversion, follow-up, retention or recommendations.
What is the difference between growth hacking and growth marketing?
Growth hacking places an emphasis on rapid experimentation. Growth marketing incorporates these experiments into a sustainable system that encompasses acquisition, conversion, sales, retention and referral.
How long does it take to give results?
A technical experiment can provide signals in a few weeks, but the time required depends on traffic, opportunity volume, and the length of the sales cycle. In B2B, evaluating actual sales can take several months. A serious agency must differentiate between an initial signal and a consolidated commercial result.
How much does it cost to hire a growth service?
Depends on existing measurement, number of channels, required throughput, integrations, and pace of experimentation. It is advisable to separate diagnosis, implementation, continuous optimization, tools and advertising investment to compare proposals correctly.
Is it necessary to invest in Google Ads?
Not always. Experiments can be carried out in SEO, content, email, business process, product, retention or recommendation. Google Ads is useful when there is demand and faster learning is needed, but it must be connected with proper landing and measurement.
Are growth hacking and CRO the same?
No. CRO focuses on improving the proportion of users who complete a valuable action on a website or journey. Growth covers more stages: acquisition, activation, commercial conversion, retention and recommendation. CRO can be part of a growth strategy.
Is artificial intelligence needed?
No. AI can accelerate analysis, classification, personalization or automation, but it is not a substitute for a clear offer, reliable data or commercial judgment. It should be used when improving a specific process and with adequate supervision.
Is it legal to automate lead tracking?
It can be if there is an adequate legal basis, correct information is provided, user preferences are respected and security measures are applied. Legality depends on the origin of the data, the channel, the purpose and the type of communication. If in doubt, it is advisable to seek specialized advice.
Is it essential to hire an agency located in Madrid?
No. What is important is the ability to understand the business, implement measurement, coordinate with sales and demonstrate a working method. Proximity can be useful for local businesses, face-to-face meetings or sector knowledge, but it does not guarantee results on its own.
From experiments to a growth system
The best result of a growth strategy is not an isolated tactic. It is a process that allows the company to know:
- which channel generates quality opportunities;
- what message connects with each segment;
- where contacts are lost;
- what tasks are worth automating;
- how much can you invest to attract a client profitably;
- what experiments should you run next.
For an SME in Madrid, this discipline allows you to compete more intelligently: measure before scaling, learn before automating, and connect marketing with sales.
Do you want to know where the main brake on your recruitment is? At N1 Soluciones we analyze campaigns, measurement, pages, processes and automations to prioritize the experiments with the greatest commercial potential. Request a first evaluation.
Sources consulted
- Community of Madrid: support for SMEs and composition of the Madrid business fabric
- Community of Madrid: business creation during 2025
- Eurostat: progress towards the goals of the Digital Decade
- Google Analytics: key events and conversions
- Google Search Central: best practices for A/B testing
- AEPD: guide on the use of cookies
