Solutions for Advanced Competitor Data Mining
Our data mining services on competitors provide you with valuable and timely analysis of competitor data to monitor performance, pricing and trends. We provide insights that are actionable and allow you to make decisions based on analytics and beat the competition.
Bespoke Competitor Data Mining Services for Strategic Advantage
Organizations can leverage competitor data mining as an avenue to help them extract and gather valuable information from the digital footprints of competitors to better understand their strategies, strengths and weaknesses. This allows leaders to track competitors’ performance, variations in pricing models, product offerings and consumer sentiment to promote better strategic decisions. It’s a very powerful mechanism to stay ahead of the competition by identifying trends, market gaps, and opportunities.
At StatsWork, we provide customized competitor data mining services tailored to your specific business needs. We can collect the data mining, data cleansing, data structure and reports to facilitate actionable next steps. Our reports will provide actionable analytics to confirm or strengthen your competitive advantage and market strategy.
Understand Customer Needs
Qualitative research will reveal the why behind what customers do. Once you understand this you can adopt strategies that better meet their expectations.
Spot Market Trends
Ethnography and the collection of digital data will help you spot and keep on top of developing market trends.
Improve Product Development
Feedback from focus groups and interviews used to test products and services will help you refine your offerings, as well as being in tune with how customers feel about them.
Enhance Brand Strategy
The insights that qualitative market research provides can help your intentions for advertising messages and brand positioning stay strong and clear.
More Informed Decision Making
The right combination of qualitative and quantitative data will produce deeper, more balanced, and data-led strategies.
Build Customer Loyalty
Learning what motivates your customers helps you to create a unique experience, and one they will stick with long term.
We provide tailored data extraction formats to give you an overall perspective of your competitive landscape, ranging from pricing to market positioning, customer engagement, and more.
Analysis of Competitor Pricing
Reviews the pricing of a competitor to inform your pricing strategy, to enable your ongoing competitiveness.
Cascade of Competitors General Offerings
A review of competitor’s offerings to find gaps or opportunities.
Competitor Market Share and Growth Analysis
Utilizes analysis of market share and growth to discover who your market leaders /competing firms are and areas for future growth.
Competitor Social Media & Customer Sentiment Analysis
A review of mentions and sentiment towards competitors to help gauge brand sentiment.
Competitor website & SEO Analysis
Review website traffic and SEO for improvements in your digital strategy.
Industries
Data collection allows sectors to train computer vision models, improve automation, improve diagnostics, ensure safety, and spur innovation via AI applications.
Select StatsWork for sourcing and identifying competitive information and insight for actionable recommendations, optimize strategies, and stay ahead of the competition with data-driven solutions tailored to your needs.
The steps for our Competitor Data Mining components are:
- Data Collection
Collect relevant data about your competitors from multiple sources (websites, social media, etc.)
- Data Cleansing
Assist in ensuring the data is accurate and free from errors. - Data Structuring
Structuring the data to allow for suitable analysis.
- Reporting
Produce a report that is concise, consumable, and includes actionable recommendations for your strategy.
- Ongoing Monitoring
Continue tracking the competitors and keep your insights up to date.
Begin dealing with the shopping behaviour data to convert more shoppers to buyers and personalize the buyer journey today!
