Hupspot Guide to Marketing Research
Marketing teams that follow the Hubspot approach to research rely on structured methods, clear questions, and repeatable processes to make better decisions. This guide walks through the main research techniques used in modern marketing and shows you how to apply them to your own campaigns.
The goal is to help you choose the right method, ask better questions, and turn raw feedback into practical actions for content, product, and growth strategies.
Why Structured Marketing Research Matters
Without a clear research framework, teams guess at what audiences want. Structured research helps you:
- Understand real customer problems.
- Prioritize features, messages, and channels.
- Reduce risk in launches and campaigns.
- Track changes in behavior over time.
The original Hubspot marketing research article outlines a practical toolbox of methods. The sections below translate that toolbox into a step-by-step process you can reuse.
Core Hubspot-Style Research Framework
Before choosing a method, define three basics:
- Objective — What business decision will this research support?
- Audience — Which segment or persona are you studying?
- Timeline and budget — How fast do you need answers, and with what resources?
Once these are clear, pick from the research methods below and combine qualitative and quantitative approaches for a balanced view.
Hubspot Approach to Primary vs. Secondary Research
Most marketing projects blend two big categories of data: primary and secondary research.
Primary Research with a Hubspot Mindset
Primary research means collecting data directly from your target audience. You design the study, run it, and interpret the results yourself. Typical methods include:
- Online surveys
- Customer interviews
- Focus groups
- Usability tests
- Real-world experiments
Use primary research when you need fresh, specific answers about your own customers, offers, and messaging.
Secondary Research in the Hubspot Style
Secondary research relies on existing data collected by others, such as:
- Industry reports and benchmarks
- Academic and government studies
- Trade association publications
- Analyst firm reports
Use secondary research to understand market size, trends, and competitors before investing in new campaigns.
Hubspot Survey Methods for Fast Quantitative Data
Surveys are one of the fastest ways to gather structured data. A Hubspot-inspired survey process usually looks like this:
- Define the goal — For example, validate interest in a new feature or measure satisfaction.
- Choose your audience — Customers, leads, newsletter subscribers, or a paid panel.
- Write focused questions — Mix multiple choice, rating scales, and a few open responses.
- Distribute — Email, on-site popups, in-app prompts, or social media.
- Analyze and segment — Break results by persona, lifecycle stage, or plan type.
Keep surveys short and targeted. Each question should connect clearly to a decision you plan to make.
Qualitative Research: Hubspot Interviews and Focus Groups
Where surveys show you what is happening, qualitative methods explain why. Two common formats are interviews and focus groups.
Running One-on-One Interviews
Customer interviews give deep insight into motivations and pain points. To use this method effectively:
- Recruit 8–15 participants from your key segments.
- Prepare a semi-structured script with open-ended questions.
- Record sessions (with permission) so you can capture exact language.
- Look for recurring patterns, objections, and desired outcomes.
Use interviews to refine messaging, uncover friction in your funnel, or explore new product ideas.
Managing Focus Groups
Focus groups gather a small group of people (typically 5–10) to discuss topics guided by a moderator. They are useful when you need to:
- Observe how different personas react to ideas.
- Test positionings, taglines, or creative concepts.
- Identify language your audience naturally uses.
Keep group sessions structured, avoid leading questions, and make sure all participants have a chance to speak.
Observational Research and Usability Testing
Watching users interact with your product or content reveals issues that survey answers might hide.
Hubspot-Style Usability Tests
To run simple usability sessions:
- Pick key tasks (sign up, find a feature, complete checkout).
- Ask participants to think aloud while completing tasks.
- Record where they hesitate, get confused, or drop off.
- Turn findings into a prioritized list of fixes.
Even five participants can uncover major usability problems.
Field and Naturalistic Observation
In some cases, you may observe users in their normal environment, such as retail locations or trade shows. This helps you understand context, workflows, and situational constraints that affect behavior.
Experimental Methods that Fit the Hubspot Playbook
Experiments help you test cause and effect by changing one variable at a time and measuring the outcome.
Simple Marketing Experiments
Common experiments include:
- A/B testing landing page headlines or calls to action.
- Trying different email subject lines or send times.
- Testing pricing formats or free trial lengths.
To keep experiments reliable:
- Change one main variable at a time.
- Run tests long enough to gather meaningful data.
- Define success metrics before you launch.
Sampling and Audience Selection
The people you study shape the conclusions you can trust. A practical process for sampling is:
- Define your population — For example, active customers in North America.
- Choose a sampling method — Random, stratified by persona, or based on behavior.
- Decide on sample size — Balance statistical power with time and cost.
- Prevent bias — Avoid over-representing convenient groups, like only highly engaged users.
Clear sampling improves the reliability of your metrics and the relevance of your insights.
Analyzing and Presenting Your Findings
Once you collect data, the next step is turning it into decisions.
Quantitative Analysis
For numeric data from surveys and experiments:
- Clean the data by removing invalid or incomplete responses.
- Use basic statistics such as averages, medians, and percentages.
- Segment results by key attributes like persona, plan, or channel.
- Create simple charts that link directly to a decision.
Qualitative Analysis
For interviews and open-ended responses:
- Transcribe or summarize recordings.
- Group similar comments into themes.
- Highlight direct quotes that capture each theme.
- Prioritize insights based on frequency and impact.
Summarize findings in a short, decision-focused document that answers: What did we learn, so what, and now what?
Turning Research into Action
Research only creates value when it informs concrete next steps. Convert insights into:
- Updated personas and journey maps.
- Refined positioning and messaging.
- Content and campaign ideas mapped to real problems.
- Product backlog items tied to validated needs.
- Measurement plans with clear success metrics.
Review these actions regularly to ensure they stay aligned with evolving data and customer feedback.
Scaling Your Marketing Research Process
As your team grows, build systems around research so it becomes a continuous habit instead of a one-time project.
- Create reusable survey and interview templates.
- Maintain a central repository of reports and raw data.
- Set a cadence for recurring studies, such as quarterly satisfaction surveys.
- Train team members on basic interviewing and analysis skills.
If you need help implementing a structured research practice, you can work with specialized consultants such as Consultevo to design processes, choose tools, and train your team.
Next Steps for Applying This Framework
To put these methods into practice this month, follow this quick checklist:
- Choose a single, high-impact business question.
- Pick one quantitative and one qualitative method.
- Draft your questions, tasks, or test variations.
- Recruit a small but focused sample of participants.
- Run the research, then summarize findings on one page.
- Translate insights into two or three concrete actions.
By combining structured methods, thoughtful sampling, and clear analysis, you can build a marketing research engine that continuously improves your campaigns and customer experience over time.
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