How would you handle conflicting data analytics findings when optimizing your social selling techniques?

When you refine your social selling methods, comparing data from various sources can iron out discrepancies. Look for trends and patterns across platforms and tools. If one analytics tool says a content type boosts engagement, but another disagrees, dig into each dataset. Maybe the content resonates with a certain group or time frame. By cross-referencing, you pinpoint commonalities that reveal deeper insights into your audience's preferences. This helps tailor your social selling strategies more precisely for better results.

Data is useless if it is not correct Data! Handling conflicting data analytics findings requires thorough data cross-checking. First, verify the source and quality of the data to ensure reliability. Next, compare the findings against established benchmarks and past performance. Engage multiple data sources to identify trends and discrepancies. Collaborate with team members to gain diverse perspectives and insights. Finally, conduct A/B testing to validate which techniques yield the best results in practice. This methodical approach ensures informed decision-making based on accurate and comprehensive data analysis.

When your analytics clash, think about why. Maybe video gets more leads because it's engaging, but maybe written content works better for different times or audiences. Test it out! Try changing one thing at a time, like content quality or when you post. See what happens. This helps you know what really works for your social selling. Adjust based on what your data tells you to boost your success!

Integrating data means balancing numbers with customer feelings. Data is great, but also listen to what customers say and feel online. If numbers don't agree, check customer comments or messages for more clues. Mixing facts with feelings helps you understand your audience better and how to connect with them.

In social selling, data analytics keeps changing. When you find conflicting info, see it as a chance to learn, not a setback. Stay current on new tools and methods. Be ready to adjust how you sell based on new data. The online world shifts fast, so what worked before might not work now. Embrace these changes to grow in social selling.

When you're dealing with conflicting data in social selling, it's crucial to stay patient and not rush into decisions. Take your time to study the data thoroughly. Look out for seasonal changes or shifts in the market that could impact your results. Building a strong social selling strategy takes time, so let your tactics develop and gather enough data to make smart choices that enhance your selling techniques over time.

Anyone trying to use social selling techniques needs to remember what is really important. You can't take likes r views to the bank. There are leading indicators such as how many posts/comments/connection requests you do - you are totally in control of this. There are "views" which mean absolutely nothing as with a view you might have read my entire post or might have scrolled past without noticing anything. There are trailing indicators such as likes/comments/shares - you are not in control of these because they require other people to take action. But the only thing that matters though is how many meetings has your activity generated for you and which of those meetings have led to pipeline/revenue. Everything else is just vanity.