Please contact us at email@example.com to get a copy of case studies in the following areas:
Unstructured Data Analytics: Mine social media, surveys and reviews to extract granular and actionable insights for an innovative B2C marketplace.
Unstructured Data Analytics: Extract real time price movements of 1000+ SKUs for key competitors.
Direct Selling Salesforce Segmentation:
Implement a segmentation model to help optimize acquisition, retention and productivity strategies.
Demand In Advance:
Improve new product estimates and reduce losses from ‘Out of Stock’.
Media Campaign Measurement:
Measure impact of TV & Digital campaigns using a Test and Control measurement approach.
Develop KPIs for Brands. Analyze equity and consumption funnels.
Develop customer profiles and identify markets for new growth.
Analyze pricing strategies and develop optimization models..
Identity drivers of customer loyalty. Analyze impact of key touch points on customer loyalty.
Unstructured Data Analytics: Enhance strategic and tactical decision making for an online e-commerce company.
Unstructured Data Analytics: Identify customer pain points by synthesizing all incoming & outgoing customer service communications.
Direct Selling Sources of Sales: Identify drivers of Acquisition, Retention, Activity and Average Order Size. Generate revenue contribution of these categories.
Sales Forecasting By Segments:
Develop sales forecasts by prioritized segments. Incorporate internal and external data into the forecasting model.
Measure Social Media Campaigns:
Understand reach and effectiveness of social media messaging.
Path to Purchase:
Develop attribution analysis to understand the impact and ROI of each customer touchpoint.
Sales Goal Setting:
Develop a simulation model to understand impact of stretch goals on operations.
Develop models to identify optimal spend, mix and ROI of marketing investment.
Sales Incentives Optimization:
Measure ROI, drivers and customer response to promotions and incentives.
Unstructured Data Analytics: Execute deep dive into drivers of customer experience. Synthesize 100K open ended surveys into major, intermediate and granular themes.
Unstructured Data Analytics: Mined 100K open ended surveys and identified drivers of customer satisfaction. Identified overlapping themes.
Field Management Platform:
Rules Engine to generate early warning indicators and action steps for field sales force.
Generate Lifetime Value of Sales Representatives:
Understand future sales potential of new and existing sales representatives.
First 90 Days:
Identify key drivers and behaviors of customers within the first 90 days.
Market Opportunity Analysis:
Identify future sales potential by block group level across the US.
Integrate analytical models into BI dashboards to generate real time forecasts.
Social Media Marketing Optimization:
Create audience value to measure messaging effectiveness across all social properties.
Supply Chain Network Optimization:
Develop models to identify opportunities in costs, service and sustainability.
Path to purchase for consumers has changed significantly. The old view followed a sequential process of Awareness, Consideration, Purchase, Retention, Advocacy and Growth. In the current age of multi channel and multi device shopping, the path to purchase has become more complex. As such attribution analysis needs to focus on the impact and ROI of each touchpoint.Triggers need to be analyzed that force customers to move from one touchpoint to another. Prescriptive Insights has successfully created a model to capture the impact of these touch points.
Social Media Strategy
Even though there is a lot of hype and discussion about Social Media analytics and leveraging social media data, at present most companies do not optimize all the touch points of social media. People tend to look at social media more as a data source for understanding customer and consultant sentiment rather than a platform where companies can initiate and engage their constituents in highly effective conversations. To leverage the value of social media, we feel that companies should focus on the following:
1. Identify all Social Network Connections (Twitter, Facebook, Google+, You Tube etc.). Data mine social media conversations and dialogue and identify customer and consultant sentiments across key attributes – Brand, Products, Price, Direct Selling Opportunities etc.
2. Translate customer and consultant sentiment into social and operational strategies.
3. Develop and implement real time and near real time messaging – sales and marketing responses to customer experiences.
4. Optimize branding across all social media access points (Twitter, Facebook, LinkedIn, You Tube etc.)
5. Develop vibrant online communities – facilitate sharing of best practices and brand experiences.
6. Identify primary influencers in social space. Develop marketing and sales strategies targeting the influencers.
Asking The Right Question: The Power Of Analytics
Optimizing growth and profits in today’s complex and highly competitive environment is an extremely challenging task. Companies struggle to find the right answers to business problems because they are frequently asking the wrong questions. Intuition based on business experience is still the driving factor in decision-making, leading to wrong solutions being developed for the wrong problems. In the age of big data, demanding customer expectations and increasingly aggressive competitors, companies should move from traditional and simplistic analytics and reporting solutions that provide a snapshot of the past (hindsight) to solutions that provide an accurate picture of the present and a prediction of future trends (foresight). As a result, predictive analytics is one of the most powerful approaches companies can use to compete and win in the marketplace. The process involves understanding what happened, what is happening, why it is happening, what will happen next and, ultimately, how do we solve it? Success in a competitive world will depend on a company’s ability to amass, assimilate and act on torrents of data (both structured and unstructured). Management needs insights and predictive and prescriptive analytics, built on a platform that is agile, adaptable and fast.