Data Scientist Suggestion for Increasing the Sales of a Mobile Company based on Pricing

Given the current predicament, as a data scientist, one has to understand the underlying approach that mobile companies take and how best can data science aid the business owners. So below is the key elements that makes Sales dependent on the data analytics :

1. Instead of Advertising, they rely on

• Product Placement ( i.e. with Celebrity and/ or popular shows)
• Positive rave reviews

2. Focus of Unique Value proposition(UVP) — Beautiful design that works right out of the boss with ever smaller packaging

• Focus on entire product instead of the a stand-out feature
• Top of the line features and specification

3. Content: Simple, direct words and emphasis on benefits

• AKA: high tech without high tech words

4. Seamless Customer experience

5. Using Emotional language that resonates with their Customer as the key brief of their campaign

6. Monitoring and engaging with Community

Keeping the above into consideration, Data Science can be leveraged at different stages:

Before the launch data science can be used to :

• Creating a Customer Profile using Customer Segmentation
• Using text analysis and Social Media Analytics to understand their behavior, their aspirations, key words that resonates with them, people they admire, shows they talk about most.
• Using Text Analytics to understand the trend and aspirations proposed by tech reviewers on Youtube, Twitter, Facebook, reputed websites, etc. One can also highlight the key emotions associated with the similar tech that company is bringing into their phone.

The above solutions will aid mobile fabricators to understand and build its target profile. It will also help them understand which celebrity or show should their product placement focus on. The text analytics will help them understand the emotional quotient key to their campaign brief and the analysis of the reviews will help built a product description which resonates which their potential customer base

Post the launch:

• Using NLP to monitor any negative customer experience and ensuing that a response is send immediately using the historical information present and if the problem is new reporting the same to a tech rep to address.
• Using NLP to track customer’s review across different online retail platforms to ensure which each customer experiences seamless purchase and delivery experience.

Conclusion:

The above will ensure that even post the launch, businesses are able to ensure that their consumers no matter the platform of purchase have a seamless service. Any negative reviews published or issues faced will be immediately flagged to the business and if it’s a known issue then the user will be automatically recommended the best solution. This allows mobile organizations to be ever- present for their customers without an actual person being present.