Step 2: Determine data collection methods
Having selected your desired metrics, decide how you’ll gather data for them. Data collection methods usually differ based on the metric type.
For quantitative metrics, which focus on numerical data, a variety of tools can be used. Web analytics tools, such as Google Analytics, can track website traffic and user behavior, giving you insights into how many people visit your site, which pages are most popular, and what visitors do once they’re there. Similarly, social media monitoring tools can track brand mentions and conversations across platforms, providing a snapshot of your social media presence and engagement.
For qualitative metrics, which delve into the “why” behind the numbers, you’ll need to go the extra mile to gather insights into people’s attitudes. Customer feedback surveys can provide first-hand customer experiences and perceptions of your brand, while customer reviews can help you understand the feelings people express about your brand and products online. Additionally, organizing focus group discussions and arranging in-depth interviews with customers can offer a more personal and detailed perspective, allowing you to dive deeper into customer attitudes, perceptions, and needs.
Step 3: Analyze and benchmark results
Once you’ve measured the metrics, interpret the results to assess your brand’s strengths and weaknesses. Calculate averages to identify overall trends, and set a point of reference (either from industry or your past) to compare the metrics and get more context.
This step is critical in understanding the effectiveness of brand awareness metrics. It’ll give you a clear idea of where you stand and what you need to improve on. Depending on data availability and your business needs, you can use three sources to analyze results:
- Industry standards: Look at average metrics for businesses like yours, and compare your performance against those numbers. These reports are usually published by third parties such as industry associations, software review and rating websites, consultancies, and media companies.
- Historical data: Compare your current data with your own past performance. Historical data provides context for your results, measures progress over time, and even helps you make forecasts for the long run based on previous trends.
- Competitor data: Analyze the performance of your immediate competitors. It’ll provide context for your own results and help identify areas where you need to improve.