Data Analytics and Statistical Modeling

You understand the importance of making data-driven decisions in order to achieve your marketing objectives. However, with the growing volume and complexity of data, it can be challenging to make sense of it all. This is where a data analytics firm can be of great help to your organization.

In today's fast-paced digital environment, data is being generated at an exponential rate. As a result, businesses need to make use of innovative tools and technologies to collect, analyze and interpret this data. A data analytics firm specializes in doing just that, providing you with the insights and recommendations you need to make informed decisions.

Data Process and Methodology

Brands need to use data to be effective, efficient, and able to take a sustainable and predictive approach to forecasting their customer data. Through the development of custom models using machine learning, AI, automation, and proven modeling approaches, [B]RIGHT is able to take the guesswork out of your sales and marketing strategies.

We begin with a deep discovery to understand your business challenges, bottle necks, tech stack and deficit, and data needs. Then we implement an exploratory analysis if your data followed by machine learning. Then we create and test our model and prototype. After the desired testing duration and data response we optimize the model. And finally we introduce scalability to the data model.

To help identify growth opportunities, we use the following data strategies and processes:

Data Analysis

Organizing, exploring, curating, and synthesizing data into actionable reports, charts, visualization with the focus of identifying efficiencies and growth opportunities through large data sets. Examples include, performance reports, dashboards, visualizations, and more.

[ Read More About Our Data Analysis Offerings ]

Predictive Modeling

Developing statistical models with a goal of accurate prediction. We typically use machine learning techniques such as extreme gradient boosting, random forest, or penalized regression, which sacrifice a quantified impact of each variable in order to achieve greater predictive accuracy. Examples include, uplift, churn, product interest, efficacy, conversion models, and more.

[ Read More About Our Predictive Models ]

Audience/Customer Segmentation Model

Taking information we know about a small population (e.g. attitudes or perceptions from a survey), we can develop distinct subgroups/segments and use the information known about the full population to assign each member to its appropriate subgroup. Examples include, dynamic personas, segmentation blueprints, high-value segment identification and more.

[ Read More About Our Segmentation Models ]

Forecasting Model

Using historical KPIs and other metadata to predict future performance. Examples include, budgetary, load testing, performance tracking and more.

[ Read More About Our Forecasting Models ]

Inferential Model

Developing statistical models with a goal of explaining the impact of variables. When the point is to quantify the specific impact of each variable of an outcome, we are limited to certain types of regression analysis, but are able to explicitly understand the magnitude of the impact of each variable. Examples include, marketing mix, time series, engagement curve, lifetime value and more.

[ Read More About Our Inferential Models ]

Clustering MODEL

Supervised, and unsupervised, methods for dividing a population into homogeneous groups, typically when data is available on the full population. Examples include, store location expansion identification, markets, consumer tracking, test development, and more.

[ Read More About Our Clustering Models ]

Owning your own data and having a 1st party data plan should be on every CMOs priority list considering the proliferated and diminished inventory quality of 2nd and 3rd party data.

What are the benefits of hiring a data analytics firm?


Increased Efficiency and Productivity: A data analytics firm has the expertise, resources and technology necessary to quickly analyze vast amounts of data. This allows you to make decisions faster, thereby improving the efficiency and productivity of your marketing efforts. Furthermore, outsourcing this work to a specialist firm frees up your team to focus on other important tasks.


Better Insights: Data analytics firms use advanced algorithms, machine learning and artificial intelligence to uncover patterns and trends in data that would be difficult for humans to detect. This provides you with more comprehensive insights into your customers, market and competition, allowing you to make informed decisions about your marketing strategies and tactics.

Data Analysis, Synthesis and Statistical Modeling 

Improved Customer Understanding: A data analytics firm can help you gain a deeper understanding of your customers by analyzing their behavior, preferences and feedback. This information can then be used to create more personalized marketing campaigns, increasing the likelihood of success.

Audience Fragmentation 

Cost Savings: Hiring a data analytics firm can be a cost-effective way to gain access to the latest technologies and expertise. Rather than investing in expensive software, hardware and personnel, you can simply pay for the services you need. Furthermore, outsourcing data analytics can also help you to reduce the cost of managing and storing large amounts of data.


Increased Agility: By outsourcing data analytics, you can quickly adapt to changing market conditions and customer preferences. A data analytics firm can provide you with real-time insights, allowing you to make adjustments to your marketing strategies and tactics as needed. This increased agility can help you stay ahead of the competition and increase your chances of success.

Activation and Attribution 

Improved Data Security: A data analytics firm typically has robust security systems and protocols in place to protect sensitive data. This reduces the risk of data breaches and helps to maintain the privacy and confidentiality of your customers' information.

User Privacy and Regulation 

Enhanced Marketing Effectiveness: By making data-driven decisions, you can optimize your marketing strategies and tactics to achieve better results. A data analytics firm can help you to identify areas of your marketing efforts that need improvement, allowing you to make data-driven changes that can drive increased engagement, conversion and revenue.


hiring a data analytics firm can provide CMOs with a wide range of benefits, from increased efficiency and productivity to improved customer understanding and enhanced marketing effectiveness. Whether you are looking to optimize your marketing strategies, stay ahead of the competition or simply gain a deeper understanding of your customers, a data analytics firm can help you achieve your goals. So if you haven't already, now is the time to consider outsourcing your data analytics needs and take your marketing efforts to the next level.

Data analytics and statistical modeling for marketers, agencies and brands that want to be more data-driven, efficient and effective.

If you are interested, or curious, in how our data experience can help your brand, or agency, be more efficient and effective with your marketing strategies, let's talk.


Audience Opportunity Identification

Using Data Synthesis and Audience Segmentation to Identify Brand and Audience Opportunities

[ See Case Study ]

Audience and Go-to Market Strategy

Prioritizing Audiences for a Go-To-Market Strategy

[ See Case Study ]

Direct-to-Consumer Strategy

Using Social Commerce to Drive Sales and Gain Audience Insights

[ See Case Study ]