Digital & Analytics Services
We offer data-driven solutions designed to meet clients’ specific business needs in data consulting (data strategy & governance, demand forecasting and more) and digital & data marketing (eCommerce, marketing ROI, advanced analytics and more).
Measure your business, website, product performance
With organizations focused on serving their customers online, digital data has never been more important. Polaris Metrics can help make sure your team has the data they need to confidently answer important business questions. Whether you need a complete, from scratch analytics tool implementation, update to an existing implementation, or simply need assistance managing your current analytics platform, we can help.
We offer you a wide spectrum of consultation services to assist you in performing your implementation project.
Data Strategy Consultation: You need to know where you want to go, or understand the problem you want to solve before you define any data strategy. Once completed, we help conduct research and discovery to design a new implementation that gathers the data relevant to you, in order to answer your business questions.
Implementation Consultation: Once you have your objectives set, then you can make sure you are capturing the data that matters most to your business, and optimize your data implementation strategy to guide you to the best decision possible. We help ensure the data integrity and accuracy of your implementation.
Tag Management Consultation: Most enterprise businesses need help with their tag management system integration with other technical platforms. We can help you make sure the collection and processing of data is done correctly to ensure you are getting quality data and not miss critical insights for your business.
Martech Platform and Marketing Automation Consultation: Digital analytics and marketing teams have a lot of tools at their disposal to ensure their efforts are efficient and impactful. We can help streamline demand/lead generation, train you on Google Marketing Platform, leverage marketing automation to reducing repetitive, manual tasks and let you focus on your market strategy execution.
Analytics and Reporting
We help you leverage structured historical data to help make recommendations (descriptive analytics, business intelligence) and summarize data in reports (visualizations, charts). How do you determine which digital strategy works? Are you still based on your hunch/gut feeling or data? How you define the goal to measure the long term business success? Either way, we can help you gather the qualitative and quantitative data you need to make better decisions.
We offer you a wide spectrum of consultation services to assist you in performing your Digital Analytics project.
Web Analytics Consultation: We advise you on how to factor in your unique business goals to configure your account, build real time easily digestible performance dashboards to back up your business decisions.
Product Analytics Consultation: We advise you on who is using your product, when and how often they are using it, and what features they like and don’t like about it. Using these customer behavior insights, we work with you to drive changes to the digital product experience or enhance features; to increase trials, purchases, grow revenues, and retain customers.
Customer Analytics Consultation: We can help you understand customer needs, pain points, and questions, to better assist clients and help them find the product or service they’re looking for. We help you understand the gap between you and your competitors. These learnings can help you gain market share and increase your NPS satisfaction rates. By analyzing customer behavior data you can also target them with the right product at the right moment to increase CLV and reduce the churn rates.
Reporting Consultation: We help you streamline the data processing process by mapping digital data sources to data visualization tools to build self-serve dashboards that speed up business insights. Automated dashboards are critical for analysts who want to spend less time on data preparation and more time on data analysis. It also helps increase report usage and encourage a data-driven culture across the organization.
Advanced analytics is the analysis of data using complex techniques to forecast trends and predict events. It’s important since it provides businesses with deeper insight and behavior patterns that can result in predicting future action. It’s a huge strategic advantage if can uncover new business opportunities, or get a detailed understanding of customer and employee behavior, or new ways of looking at old problems — all of which can improve revenue or reduce cost.
Forecasting
Companies are turning to forecasting or predictive analytics to help solve difficult problems and uncover new opportunities.
Optimizing marketing campaigns. Setting goals and forecasts are used to determine customer responses or purchases, as well as promote cross-sell opportunities. Predictive models help businesses attract, retain and grow their most profitable customers.
Improving operations. Many companies use predictive models to forecast inventory and manage resources. Airlines use predictive analytics to set ticket prices. Hotels try to predict the number of guests for any given night to maximize occupancy and increase revenue. Predictive analytics enables organizations to function more efficiently.
Regression Analytics
Regression analytics estimates relationships between variables. We can help you find trends in sampled data which will reflect the reality of the larger population to help drive sales.
Predictive Analytics
Predictive analytics is a key component of advanced analytics, as this helps to find a solution to the unknown. This type of analysis uses various techniques from other data processes (such as data mining, AI, machine learning, and modeling) to make a deep analysis of available data to create a prediction for the future. Predictive analytics is used to create accurate forecasts.
Prescriptive Analytics
Prescriptive analytics is the final stage of business analytics that goes a step beyond above analytics options to provide informed suggestions on the best way to achieve the desired business outcome. For example, prescriptive analytics can power product recommendation engines that suggest relevant products to online shoppers. This is the most powerful and potentially useful advanced analytics technique.
A/B Testing & Optimization
Personalized experiences are important for building consumer affinity with a brand. We will help you deliver personalized experiences, from implementing the technology needed to deliver personalized content, inform segmentation strategies, to deploy test-and-learn personalized experiences and effectively measure the impact on conversion rate optimization (CRO) decisions going forward.
Know which media are driving incremental revenue and profit – Media Mix Modelling (MMM)
Media (Marketing) Mix Modeling is a top-down approach that advanced analytics to evaluate how media and marketing activities, pricing, competitor, seasonality, and other variable factors impact sales and ROI. It provides a measure of how each factor contribute to the company’s ROI. The goal is to allocate incremental media budget or marketing efforts which drive the highest ROI and maximize the overall revenue and profit.
We offer you a wide spectrum of consultation services to assist you in performing your MMM project.
Pre-Modeling Consultation: Advise the best service provider and best modeling to address your business questions and perform the desired business outcome.
Implementation and Project Management: Advise on the design data and reporting structures to address strategic business problems. Effectively track projects for proper data governance, collection and timelines.
Post-Modeling Consultation: Advise on how to translate the modeling results into the actionable business decisions. Assist on scenario planning optimization and outputs interpretations and recommendations.
Customer Journey – Multi-touch attribution (MTA)
MTA is a marketing effectiveness measurement technique, designed to assign credit to each individual touchpoint that affect a consumers’ path to purchase. The model is built to measure each channel’s contribution along the customer’s journey, providing a clear picture of which investments improve key business metrics. The objective is to figure out which marketing channels or campaigns deserve credit towards a conversion; with the end goal of allocating future spend to acquire customers more effectively. This allows us to optimize the return on media ad spend (ROAS), and subsequently maximize the media revenue. In addition, MTA captures customer journey data from discovery to conversion, which provides greater insight on what is the most relevant to users at each stage of the buying cycle. It provides a bottom-up granular level tactics to support MMM decisions.
We offer you a wide spectrum of consultation services to assist you in performing your MTA project.
Pre-Modeling Consultation: Advise on the best service providers and best models to address your business questions to reach your desired business outcomes.
Implementation and Project Management: Advise on the design data and reporting structures to address strategic business problems. Effectively track projects for proper data governance, collection and timelines.
Post-Modeling Consultation: Advise on how to translate the modeling results into the actionable business decisions. Assist on scenario planning optimization and outputs interpretations and recommendations.
“You can’t improve if you don’t measure.
Data-driven marketing is about making decisions supported by proven past performance and historical learnings.”
— Bei Ding