Vous vous préparez à présenter un produit technique. Comment décidez-vous des informations analytiques de données à prioriser ?

Prioritize your data analytics insights for pitches by understanding your prospects' needs. You should focus on nailing the discovery calls by learning 3 key things: what is the pain point, how much does the pain impact them, and what's their timeline to address it? Once you know this, you'll be able to identify the objectives the prospect wants to fulfil. Take a blank page and list the objectives on the left side. If there are multiple objectives, list them in order of impact, with the most significant objective at the top. On the right side, list all of your analytics insights related to your solution and match them with the left column. Now you have a clear view of the priorities, what to highlight, and what to exclude in your pitch.

Before presenting any software solution to potential customers, I first ask open-ended questions about the key performance indicators (KPIs) that would define the project's success. Since I offer cutting-edge VR solutions powered by AI, some customers may not initially know what specific KPIs they need. During our discussions, I help them identify these metrics, whether it’s for a cost-saving alternative, an innovative value addition to an existing proposal, or a replacement for an existing solution. Based on their feedback, I then demonstrate an admin dashboard that enables them to track these metrics and ensure the desired ROI.

When pitching a technical product, prioritize data analytics insights by understanding your audience's key challenges and objectives. Research their industry, role also check org's recent post or prospect likes and comments in the LinkedIn that gives an idea.. Via cold call ask about the current products they are using and their pain points before demo.

Sales calls provide a valuable opportunity to identify the unique selling points of the software solution I am offering. Each conversation offers deeper insights into what potential customers are seeking, allowing me to tailor my pitch to align with their specific needs. These discussions have been instrumental in shaping the core value of the software I sell. Rather than focusing solely on features and competitive advantages, I emphasize how the software can help customers achieve their goals with our product.

Highlight insights that directly address their needs, demonstrating how your product can solve their problems or enhance their decision-making with a cost saving. Use relevant case studies and metrics that resonate with their business context, ensuring the insights are actionable and measurable. Diffrentiate how your product is better choice compared to existing platform or product.

In the current market, data analytics is saturated with solutions, but focusing on actionable insights like real-time processing, and advanced AI-driven predictive capabilities, And also integrating cutting-edge generative AI to uncover trends and patterns that are often overlooked so you can jus highlight that. Present Additionally, how your solution is customizable to specific industry needs, providing not just data but contextually relevant, business-focused outcomes with a upgradation according to market trend.

During each sales call, I emphasize to customers that they will have a dedicated customer success team member who will gather their feedback and ensure it is prioritized in our product development pipeline. This approach makes customers feel valued and helps us focus on addressing their needs rather than developing features we think are cool or technologically advanced.

Always I focus on the post sales support and emphasize that clearly to customer in a sales call that their will be a team to support in their complete data journey, that creates a positive notation in mind of customer and of course we have to keep the trust. If everything goes well in the first year ....it will boost your sales growth for the same account Y-O-Y....