12 Essential Market Analysis Techniques for Excel in 2025

In today's fast-paced market, the ability to quickly analyze competitive landscapes, customer behavior, and emerging trends is no longer optional—it's essential for survival and growth. Many professionals believe these sophisticated analyses require complex software or a dedicated data science team. But what if you could unlock these powerful insights directly within the tool you use every day: Microsoft Excel?

This guide will walk you through 12 essential market analysis techniques, demonstrating how combining Excel's robust functionality with the AI-powered capabilities of an add-in like Elyx.AI can transform your raw data into actionable strategies. We'll move beyond basic spreadsheets and dive into practical, step-by-step methods for conducting comprehensive evaluations of your market environment. The goal is to equip you with the skills to make smarter, faster decisions that give your business a tangible competitive edge.

From SWOT to PESTEL and beyond, you will learn how to automate complex data interpretation, generate clear visualizations, and uncover hidden opportunities without leaving your workbook. To truly transform data overload into strategic insight, embrace data-driven decision making for modern banking as a fundamental principle, turning every dataset into a clear path forward. Prepare to turn Excel into a strategic powerhouse and master the art of market analysis.

1. SWOT Analysis

SWOT (Strengths, Weaknesses, Opportunities, Threats) is a foundational strategic planning framework used to evaluate the internal and external factors impacting a business. This proven technique helps you understand your competitive position by systematically assessing what you do well, where you can improve, potential growth avenues, and risks on the horizon. It is one of the most essential market analysis techniques for initial assessments and strategic decision-making.

For example, a technology startup could use Excel to list its innovative patent portfolio as a Strength and its limited marketing budget as a Weakness. An Opportunity could be a new government grant for tech innovation, while a Threat is a major competitor launching a similar product.

Practical Implementation in Excel with AI

You can easily structure a SWOT analysis in Excel by creating a 2×2 grid or four separate columns for Strengths, Weaknesses, Opportunities, and Threats. List all identified factors in your spreadsheet.

To turn this data into a concrete plan, use an AI add-in like Elyx.AI with a prompt such as: "=Elyx.AI("Based on the SWOT data in columns A-D, identify the top 3 strategic initiatives that leverage our strengths to pursue opportunities and mitigate our threats.")"

This command instructs the AI to analyze your framework directly within Excel and generate actionable strategies, transforming a simple assessment into a powerful planning tool without any manual synthesis.

Actionable Tips for a Powerful SWOT

Be Specific: Instead of listing "good marketing" as a strength, specify "high organic search ranking for key industry terms."
Prioritize Ruthlessly: Use Excel's sorting or conditional formatting features to rank items in each quadrant by impact (e.g., 1-5). Focus on the highest-scoring factors first.
Link Insights to Actions: Every identified point should lead to a potential action. If a weakness is "outdated technology," the action is "research and budget for new software."

2. Porter's Five Forces Analysis

Porter's Five Forces is a strategic framework developed by Michael Porter to evaluate an industry's competitive landscape and profitability potential. This model examines five key forces that shape every industry: competitive rivalry, the threat of new entrants, the bargaining power of buyers, the bargaining power of suppliers, and the threat of substitute products or services. Analyzing these elements offers deep insight into market attractiveness, making it one of the most powerful market analysis techniques for strategic planning.

For instance, an analysis of the software-as-a-service (SaaS) industry in Excel would show low barriers to entry (a threat) but potentially low buyer power if the software is deeply integrated into a customer's workflow (a strength).

Practical Implementation in Excel with AI

To implement this in Excel, create five columns, one for each force. In each column, list the specific factors and data points that define its strength (e.g., number of competitors, supplier concentration, switching costs).

You can then use an AI prompt in Elyx.AI like: "=Elyx.AI("Analyze the Porter's Five Forces data in columns A-E. Identify the two most significant forces impacting industry profitability and suggest three strategies to improve our competitive position.")"

This command directs the AI to synthesize your research into a concise strategic summary, highlighting key pressures and proposing concrete actions to address them, all within your Excel sheet.

Actionable Tips for a Powerful Analysis

Quantify the Forces: Whenever possible, use market data to support your assessment. Instead of saying "high supplier power," state "two suppliers control 80% of the raw material market" in your Excel cell.
Focus on Industry, Not Company: Remember, this framework analyzes the industry as a whole, not just your company's position within it.
Link Forces to Profitability: Clearly articulate how each force impacts potential profits. For example, high buyer power directly leads to price pressure and lower margins.

3. Market Segmentation Analysis

Market Segmentation Analysis involves dividing a broad market into smaller, more homogeneous customer groups based on shared characteristics like demographics, behaviors, or needs. This strategy allows businesses to tailor their products and marketing efforts to specific segments, making resource allocation more efficient and effective. As one of the most crucial market analysis techniques, it moves beyond a one-size-fits-all approach to foster deeper customer engagement.

For example, a financial software company could use Excel to analyze its user data and segment customers into "Freelancers," "Small Business Owners," and "Enterprise Accountants," each with unique needs and feature requirements.

Practical Implementation in Excel with AI

To perform market segmentation in Excel, start by listing your customer data in columns, including demographic information, purchase history, and engagement metrics. You can use Excel's built-in pivot tables for initial exploration.

To accelerate the process, use an AI prompt in Elyx.AI such as: "=Elyx.AI("Based on the customer data in columns A-E, group customers into distinct segments and describe the key characteristics of each segment.")"

This command instructs the AI to analyze your raw data and identify meaningful clusters, turning a complex dataset into clearly defined customer profiles that can guide your marketing strategy. To learn more about this process, you can explore our detailed guide on customer segmentation analysis.

Actionable Tips for Powerful Segmentation

Combine Variables: Use a mix of demographic, psychographic, and behavioral data for more nuanced and accurate segments.
Ensure Accessibility: A segment is only useful if you can reach it. Confirm that each group can be targeted through your available marketing channels.
Develop Unique Value Propositions: Create distinct messaging and offers tailored to the specific needs and pain points of each segment.

4. Competitive Positioning Analysis

Competitive positioning analysis is a strategic tool used to determine a brand's unique place relative to its competitors in the minds of consumers. It involves evaluating competitor strategies, market share, pricing, and key differentiators to find a distinct and advantageous position. This is one of the most critical market analysis techniques for carving out a niche and building a sustainable competitive advantage in a crowded marketplace.

For example, a new coffee shop could use Excel to map local competitors on a chart with axes for "Price" and "Ambiance." This analysis might reveal a gap for a high-ambiance, mid-price-point cafe that existing shops don't fill.

Practical Implementation in Excel with AI

To perform this analysis in Excel, create a table listing your key competitors. In adjacent columns, score each competitor (and your own company) on critical attributes like Price, Quality, Customer Service, and Innovation on a scale of 1-10.

You can then use Elyx.AI to interpret this data with a prompt like: "=Elyx.AI("Based on the competitive scores in columns A-E, create a perceptual map summary. Identify two attributes with the most variance and describe the 'white space' or market gap we could fill.")"

This command helps you visualize the competitive landscape and pinpoint underserved market segments directly from your raw data in Excel.

Actionable Tips for Powerful Positioning

Create Perceptual Maps: Use a scatter plot or bubble chart in Excel to visually map competitors based on two key attributes (e.g., Price vs. Quality). This instantly reveals market clusters and gaps.
Monitor Competitor Moves: Actively track competitor product launches, marketing campaigns, and pricing changes in your Excel sheet to ensure your positioning remains relevant.
Analyze Customer Reviews: Systematically collect and analyze competitor reviews to understand their perceived strengths and weaknesses, revealing opportunities for you to excel.

5. PESTEL Analysis

PESTEL (Political, Economic, Social, Technological, Environmental, Legal) is a macro-environmental framework used to assess the key external forces that could impact an organization. This comprehensive method extends beyond an internal focus, helping you understand market attractiveness and business potential by analyzing factors outside your control. It stands as one of the most critical market analysis techniques for strategic planning and risk management.

For example, an e-commerce company using Excel for PESTEL analysis would list new Political trade tariffs, Economic inflation rates affecting consumer spending, and Legal changes to data privacy laws as key factors influencing its strategy.

Practical Implementation in Excel with AI

You can implement a PESTEL analysis in Excel by creating six columns, one for each factor (Political, Economic, etc.). List all the relevant external trends you identify under the appropriate heading.

To generate strategic insights with AI, use a prompt in Elyx.AI like: "=Elyx.AI("Based on the PESTEL factors listed in columns A-F, identify the top 3 macro trends that pose the biggest threat to our business model and suggest one strategic pivot for each.")"

This command directs the AI to synthesize your environmental scan and translate broad external shifts into specific, actionable business recommendations, directly within your spreadsheet.

Actionable Tips for a Powerful PESTEL

Assign Ratings: Use extra columns in Excel to score each factor on its potential impact (1-5) and probability of occurrence (1-5). This helps prioritize the most critical external trends.
Connect Macro to Micro: Always link a high-level trend directly to a specific business implication. For instance, if an economic trend is "rising inflation," the business implication is "pressure on profit margins."
Stay Current: PESTEL factors are dynamic. Update your Excel analysis at least annually or whenever a major event occurs, like a new environmental regulation.

6. Customer Analysis and Buyer Persona Development

Customer analysis involves creating detailed, semi-fictional profiles of your ideal customers, known as buyer personas. This technique moves beyond basic demographics to uncover the motivations, pain points, goals, and decision-making processes of your target audience. Understanding who your customers truly are is a cornerstone of effective market analysis techniques, enabling highly personalized marketing, product development, and sales strategies.

For example, a B2B software company can create personas in Excel for "Project Manager Paula," who values efficiency and clear communication, and "IT Director Ian," who prioritizes security and integration. These detailed profiles guide feature development and messaging.

Practical Implementation in Excel with AI

You can build robust buyer personas directly in Excel by organizing customer data into distinct categories. Create columns for demographics (age, job title), goals (what they want to achieve), pain points (their biggest challenges), and communication preferences.

To extract deeper insights with AI, you can use a prompt in Elyx.AI like: "=Elyx.AI("Based on the customer interview data in columns A-D, identify the top 3 shared pain points and create a summary for a 'Marketing Manager' buyer persona.")"

This command instructs the AI to synthesize qualitative data from your research and generate a concise, actionable persona profile in a new cell, saving hours of manual analysis.

Actionable Tips for Powerful Personas

Interview Real Customers: The best data comes directly from the source. Paste transcripts or notes from customer interviews into Excel for analysis.
Use Analytics Data: Supplement qualitative insights with quantitative data from your CRM or sales reports. Use Excel's functions to identify behavioral patterns.
Include Real Quotes: Add a direct quote from an interview to your persona profile in Excel to make it more relatable for your team.
Keep It Focused: Aim to create 3-5 primary personas that represent the core segments of your customer base.

7. Market Sizing and Opportunity Assessment

Market Sizing and Opportunity Assessment is a quantitative method used to estimate potential revenue in a specific market. This technique involves calculating the Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM). It is one of the most critical market analysis techniques for validating a business idea, securing investment, and setting realistic growth targets.

For example, a new mobile app could use an Excel model to calculate the TAM (all global smartphone users), the SAM (smartphone users interested in its category), and the SOM (the share it can realistically capture in the first two years).

Practical Implementation in Excel with AI

You can model market size in Excel by creating a worksheet with assumptions like population, adoption rates, and average revenue per user. Use formulas to link these assumptions to your TAM, SAM, and SOM calculations.

To accelerate this, use a prompt in Elyx.AI such as: "=Elyx.AI("Using the market data in columns A-C, calculate the TAM, SAM, and SOM. Project the SOM for the next 5 years assuming a 15% annual growth rate and a 5% initial market capture.")"

This command tells the AI to perform the layered calculations and generate a multi-year forecast, turning raw data into a strategic business model right in your workbook.

Actionable Tips for Accurate Market Sizing

Reconcile Methods: Use both a top-down (from industry reports) and a bottom-up (from segment-level data) approach in separate Excel tabs and compare the results for a more reliable estimate.
Focus on SOM for Planning: While TAM is impressive, your immediate business plan should be built around a realistic SOM. A crucial step is to calculate your break-even price to ensure your obtainable market is profitable.
Include Sensitivity Analysis: Use Excel's Data Table feature to vary key assumptions (like penetration rate or pricing) to understand the potential range of outcomes.

8. Trend Analysis and Forecasting

Trend Analysis and Forecasting involves examining historical market data to identify patterns and predict future market direction. By using statistical methods and predictive modeling, this technique helps businesses anticipate market shifts, changes in consumer behavior, and emerging opportunities. It is one of the most powerful market analysis techniques for staying ahead of the curve and making proactive decisions rather than reactive ones.

For instance, a retailer can use historical sales data in Excel to forecast demand for the upcoming holiday season, allowing for better inventory management and staffing.

Practical Implementation in Excel with AI

Excel has powerful built-in forecasting tools. Start by plotting your historical data (e.g., monthly sales over three years) on a line chart and add a trendline. For more advanced analysis, use the "Forecast Sheet" feature on the Data tab.

To leverage AI, organize your time-series data in two columns: Date and Value. Then, use a prompt in Elyx.AI like: "=Elyx.AI("Based on the sales data in A2:B37, forecast the sales figures for the next 6 months using an exponential smoothing model and identify the projected growth rate.")"

This command instructs the AI to perform a sophisticated forecast directly in your sheet, providing you with future data points to inform your strategy.

Actionable Tips for Accurate Forecasting

Use Quality Data: Ensure your historical data is clean, consistent, and correctly formatted in Excel before running any analysis.
Combine Methods: Don't rely on a single forecasting model. Compare results from Excel's built-in models with AI-generated forecasts for a more reliable outlook. For a deeper dive, you can explore various trend analysis methods to enhance your analysis.
Validate and Adjust: Regularly compare your forecasts against actual results in a separate Excel column. Use the variance to refine and improve your future forecasting models.

9. Value Chain Analysis

Value Chain Analysis is a strategic framework that breaks down a company's operations into distinct activities to understand where value is created. It separates activities into two categories: primary (inbound logistics, operations, sales) and support (procurement, HR, technology). This granular view helps identify sources of competitive advantage, areas for cost reduction, and opportunities for efficiency improvement. It is one of the most effective market analysis techniques for optimizing internal processes and outperforming competitors.

For example, a manufacturing company can use Excel to map each step from raw material sourcing to final product delivery, assigning costs to each stage to identify the most expensive and least efficient parts of its process.

Practical Implementation in Excel with AI

You can map your value chain in Excel by listing all primary and support activities in separate columns. Next to each activity, add columns for associated costs, resources used, and value added (e.g., customer satisfaction score, time saved).

To get strategic insights, use an Elyx.AI prompt like: "=Elyx.AI("Analyze the value chain data in columns A-D. Identify the top 3 activities with the highest cost-to-value ratio and suggest specific improvements for each.")"

This command directs the AI to pinpoint inefficiencies and propose actionable solutions, transforming your operational data in Excel into a strategic roadmap for optimization.

Actionable Tips for a Powerful Value Chain Analysis

Map the Entire Chain: Extend your analysis beyond your company to include suppliers and distribution channels to see the bigger picture.
Assign Costs Accurately: Use Excel formulas to break down broad costs and allocate them to specific activities to find the true cost drivers.
Identify Value-Add vs. Non-Value-Add: Scrutinize each step. If an activity doesn't add value for the customer or the business, find a way to improve or eliminate it.

10. Conjoint Analysis

Conjoint analysis is a sophisticated statistical technique used to determine how people value different attributes that make up an individual product or service. It identifies the real drivers of buyer decisions by asking customers to make a series of trade-offs, making it one of the most powerful quantitative market analysis techniques for product design and pricing.

For instance, a software company could use it to decide which features to include in its basic plan versus its premium tier, by understanding how much users are willing to pay for features like "AI-powered analytics" versus "unlimited cloud storage."

Practical Implementation in Excel with AI

While full conjoint analysis typically requires specialized software, you can analyze survey results effectively in Excel. After collecting survey data where respondents choose their preferred product combinations, input the results into a structured table.

List survey responses with columns for each attribute and a final column for respondent rankings. Then, use an AI prompt like: "=Elyx.AI("Based on the conjoint survey data in range A2:E100, calculate the utility values for each attribute level and identify the single most important attribute driving customer preference.")"

This command tells the AI to perform the complex calculations and pinpoint which feature has the most significant impact on consumer choice, directly from your survey data in Excel.

Actionable Tips for a Powerful Conjoint Analysis

Limit Attributes: Focus on 5-7 key attributes to avoid respondent fatigue and ensure reliable data.
Be Realistic: Use attribute levels and prices that are believable and relevant to the current market.
Ensure Sample Size: A statistically significant and representative sample is crucial for the results to be valid and projectable.
Combine and Validate: Use conjoint analysis alongside other methods, like qualitative interviews, to add context and confirm findings.

11. Net Promoter Score (NPS) and Customer Satisfaction Analysis

Net Promoter Score (NPS) is a widely used metric that measures customer loyalty by asking a single, simple question: "On a scale of 0-10, how likely are you to recommend our company/product/service to a friend or colleague?" This technique gauges customer sentiment and is a crucial part of broader satisfaction analysis, helping businesses track experience, identify key drivers of dissatisfaction, and benchmark performance. For this reason, it is one of the most direct market analysis techniques for understanding customer-centric market positioning.

For example, an online retailer can track its NPS score in an Excel dashboard, segmenting it by customer region or purchase category to pinpoint specific areas needing improvement.

Practical Implementation in Excel with AI

To analyze NPS data in Excel, import your survey responses with scores in one column and qualitative feedback in another. Use IF formulas to categorize respondents into Promoters (9-10), Passives (7-8), and Detractors (0-6).

To analyze the open-ended feedback at scale, use an Elyx.AI prompt like: "=Elyx.AI("Based on the NPS feedback in column B for customers who are Detractors, identify the top 5 recurring themes causing dissatisfaction.")"

This command helps you instantly find the root causes of poor scores, transforming raw text feedback into a clear, prioritized list of areas for improvement. Learn more about how to calculate NPS to get started.

Actionable Tips for a Powerful NPS

Segment Your Results: Use Excel's PivotTables to analyze NPS by customer segment, region, or product line to uncover specific insights.
Ask "Why?": Always include an open-ended follow-up question. The qualitative feedback is often more valuable than the number itself.
Close the Loop: Create a process to follow up with Detractors. Addressing their concerns can turn them into loyal customers and prevent negative word-of-mouth.

12. Strategic Group Mapping

Strategic Group Mapping is a visual framework used to analyze the competitive landscape by grouping firms with similar strategic characteristics into clusters. By plotting companies on a two-dimensional map based on key variables like price, quality, geographic scope, or distribution channels, you can identify direct rivals, market gaps, and mobility barriers between groups. This is one of the more visual market analysis techniques for understanding industry structure and competitive positioning.

For example, in the airline industry, you could use an Excel scatter plot to map companies based on "Price" and "Routes Served." This would reveal distinct groups: low-cost domestic carriers, premium international airlines, and regional operators.

Practical Implementation in Excel with AI

To create a Strategic Group Map in Excel, start by listing competitors and their corresponding values for two chosen strategic dimensions (e.g., Price Index in Column B, Product Line Width in Column C). Use Excel's Bubble Chart or Scatter Plot to visualize this data.

Then, use a prompt in Elyx.AI to interpret the visualization: "=Elyx.AI("Based on the competitor data in columns A-C plotted on a bubble chart, identify the three most crowded strategic groups and describe the 'white space' or market gap with the highest potential for a new entrant.")"

This command helps the AI analyze your visual map, articulate competitive clusters, and pinpoint untapped market opportunities directly from your spreadsheet data.

Actionable Tips for a Powerful Strategic Map

Select Differentiating Variables: Choose two axes that reveal significant differences in strategy, not just minor variations. Avoid highly correlated variables.
Use Proportional Bubbles: In Excel's chart options, set the bubble size to correspond to a third variable, like market share. This adds a crucial dimension to your analysis.
Identify Mobility Barriers: Analyze what prevents a company from moving from one strategic group to another, such as brand reputation or distribution access.

Comparison of 12 Market Analysis Techniques

Method	Implementation Complexity 🔄	Speed / Resource Efficiency ⚡	Expected Outcomes 📊	Ideal Use Cases 💡	Key Advantages ⭐
SWOT Analysis	Low — simple four-quadrant process	High — minimal resources, quick to run	Quick strategic overview of internal/external factors	Initial market assessment, team strategy sessions	Easy to use; fosters broad thinking; collaborative
Porter's Five Forces Analysis	Medium–High — requires industry research	Low — time-consuming, research-intensive	Assessment of industry attractiveness and profit drivers	Market entry, competitive positioning, industry analysis	Deep structural insights into competitive forces
Market Segmentation Analysis	Medium–High — requires data & analysis	Medium — moderate time and cost for research	Defined customer segments and target profiles	Targeted marketing, product development, niche discovery	Improves targeting and marketing ROI
Competitive Positioning Analysis	Medium — requires competitor data & mapping	Medium — ongoing monitoring needed	Clear competitor landscape and differentiation gaps	Crowded markets, pricing strategy, repositioning	Identifies differentiation and market gaps
PESTEL Analysis	Medium — cross-domain expertise helpful	Low–Medium — requires broad research	Macro-environment risks and long-term trends	Market entry, strategic foresight, regulatory planning	Reveals external risks/opportunities and policy impacts
Customer Analysis & Buyer Persona Dev.	High — extensive qualitative & quantitative work	Low — resource-intensive (interviews, analytics)	Detailed personas, motivations, journeys	Personalization, UX design, targeted campaigns	Improves product-market fit and messaging precision
Market Sizing & Opportunity Assessment	High — quantitative modeling required	Low — significant data and analyst time	TAM/SAM/SOM estimates and revenue potential	Investment decisions, fundraising, resource allocation	Quantifies opportunity for financial planning
Trend Analysis & Forecasting	High — needs reliable time-series data & models	Medium — dependent on data quality and tools	Early detection of market shifts; forecasts	Strategic planning, innovation roadmaps, R&D	Anticipates trends to inform proactive strategy
Value Chain Analysis	High — detailed operational mapping needed	Medium — cross-functional data access required	Identification of value drivers and cost savings	Operations optimization, outsourcing, vertical integration	Pinpoints efficiency gains and competitive sources of value
Conjoint Analysis	Very High — advanced survey design & modeling	Low — costly and time-consuming to run well	Quantified attribute importance and price sensitivity	Product feature prioritization, pricing strategy	Predictive insights on tradeoffs and pricing
NPS & Customer Satisfaction Analysis	Low — simple survey instrument	High — low cost, quick implementation	Loyalty scores and feedback drivers over time	CX monitoring, retention programs, service improvement	Simple, benchmarkable metric tied to growth
Strategic Group Mapping	Medium — requires competitor metrics & plotting	Medium — focused research and analysis	Visual clusters of competitors and mobility barriers	Competitive strategy, identifying white space	Clarifies direct competitors and strategic gaps

Your Next Step: Transforming Analysis into Action with AI

You’ve just explored a comprehensive toolkit of twelve powerful market analysis techniques, from the foundational SWOT Analysis to the nuanced insights of Conjoint Analysis. Each method offers a unique lens through which to view your market, competitors, and customers, providing the clarity needed to build a winning strategy. The journey through these frameworks reveals a powerful, unifying theme: sophisticated strategic analysis is no longer confined to specialized software or extensive manual effort.

The real breakthrough lies in how you can now execute these complex evaluations directly within your most familiar tool, Microsoft Excel. By integrating an AI assistant like Elyx.AI, the once-daunting tasks of data collection, synthesis, and visualization become streamlined and accessible. You can move from raw sales figures to a detailed Customer Persona or from industry news to a full PESTEL analysis without ever leaving your spreadsheet.

Key Takeaways: From Framework to Function

Mastering these market analysis techniques is not about memorizing definitions; it's about applying them to real-world business challenges. Here are the most critical takeaways to guide your next steps:

Analysis is a System, Not a Single Event: The true power of these techniques is realized when they are used together. A SWOT analysis provides the internal context, while Porter’s Five Forces maps the external competitive landscape. Combining them creates a multi-dimensional strategic view that is far more robust than relying on a single framework.
Data Quality is Paramount: Your analysis is only as good as the data you feed it. Before diving into trend forecasting or market sizing, use Excel's Power Query or data cleaning functions to ensure your data is clean, consistent, and relevant. AI tools can help identify anomalies and standardize datasets for more accurate results.
AI is Your Accelerator, Not Your Replacement: The goal of using AI in Excel isn’t to outsource your thinking. It’s to automate the repetitive, time-consuming tasks so you can focus on what matters most: interpreting the results, asking deeper questions, and making strategic decisions. Let AI handle the "what," so you can concentrate on the "so what" and "what's next."

Putting Theory into Practice: Your Action Plan

Information without implementation is just noise. To transform what you've learned into tangible business value, you need a clear plan of action. Don't try to master all twelve techniques at once. Instead, choose a starting point that addresses your most pressing business question.

Actionable Insight: The fastest way to see the value of these techniques is to apply one of them to a current, unresolved business problem. Are you struggling with customer retention? Start with an NPS and Customer Satisfaction Analysis. Unsure about a new product launch? Begin with Market Sizing and a Competitive Positioning Analysis.

Pick one technique that resonates with your immediate needs. Gather the necessary data within an Excel workbook and begin the analysis. Use an AI assistant to generate charts, summarize key findings from customer feedback, or even draft initial SWOT points based on performance data. This hands-on approach will not only build your skills but also deliver immediate, practical insights that can inform your decisions today.

By embracing these market analysis techniques and leveraging the power of AI within Excel, you are not just improving a process; you are fundamentally changing your relationship with data. Your spreadsheet evolves from a static grid of numbers into a dynamic, interactive partner in strategic discovery. You unlock the ability to move at the speed of your market, armed with the data-driven confidence to seize opportunities and navigate challenges effectively. The future of strategic analysis is here, and it’s more accessible, more powerful, and more integrated into your daily workflow than ever before.

Ready to stop manually crunching numbers and start generating strategic insights in seconds? See how Elyx.AI can automate these very market analysis techniques inside your spreadsheet, turning your raw data into actionable intelligence with simple, natural language commands. Visit Elyx.AI to install the add-in and transform your Excel workflow today.