Marketing Analytics Solution, a Big Data Approach

Business Analytics is creating an exemplary change in the way data is being used, and the marketing & sales department is no exception to this. When it comes to storytelling, many brands struggle with shaping their story into a rewarding and mutually beneficial engagement with their high-value audiences.

In order for data analytics to reveal its potential to add value to the business, a certain number of ingredients need to be in place. This is particularly true in recent times with the explosion of big data (big implying data volume, velocity, and variety).

Common Problems that company Face in marketing Analyse are Data is easy to spell but hard to use, People here don’t get it, Valuable hypotheses, which channel gets the credit? Privacy issues and we’ve been silo-ed to combat these nagging issues we at Blackcoffer can provide a solution for you in simple steps:

Measure and determining the effect

We measure the effectiveness and reach of your marketing campaigns. It answers questions including how many people saw, clicked on, and converted from various marketing channels. It can show you an overall view of your campaigns, or get more granular to pinpoint exactly which campaigns have garnered the most success. The answer is hidden in the data flowing to your brand story, exposed through the science and craft of attribution

While many organizations use traditional rules-based attribution which works well for simple analysis some require more complex analysis. This is where algorithmic attribution becomes a powerful tool. The big company uses machine learning and advanced statistics to more objectively assign credit across all those touchpoints and ensure you are accurately assessing the value of your marketing efforts.

Experiments with strategies

Conduct an experiment to test hypotheses and also to catch patterns to prove or disapprove theories surrounding the success of your marketing efforts. This is especially useful when similar campaigns show starkly different results from previous runs. You can experiment with everything from web copy and design, to publishing outlet and publication time. The most important thing to remember is not to be afraid to test things out before you commit– if you’re investing a lot of money in a campaign, experimenting a bit will ensure that you get the best ROI.

Test multiple versions of your web pages, including a web designer to help you change the page layout for each test, giving you results on how each variation performed. The heat mapping feature gives you data about where your customers are spending the most time, going as far as giving numerical aggregate click data of the number of people that clicked on different elements of your site.

Bring marketing to life with data visualizations in real time

Collect data from the web and by your experimentation on every aspect of the Market. Not all marketers are data scientists, so your marketing analytics have to make sense. Data visualization allows business users to quickly identify trends, anomalies, and patterns within your analytics dashboards and reports.

Provide Workspace, for example, allows you to build the visualizations that will help drive engagement. You can create dashboards that suit your specific business needs and reports that clearly define your successes. Freeform Analysis within Analysis Workspace allows you to create custom analysis views.

Competitor Analysis, Sales Performance Analysis. Sales Pipeline Analysis, Campaign Analysis in Real-time data reveals real-time interest. You’ll know which content customers are looking at and what drives them to buy at that critical moment in time.

Optimize your campaign

Once you know what’s working to drive more conversions, you can optimize your website and marketing campaigns based on those results. You’ll want to start spending money in places where you’re seeing the biggest ROI; you’ll want to make improvements to your site based on how people are behaving and what they’re commonly looking for. You can optimize every part of your online marketing process so that customers have a good user experience while also converting.

To get a complete view of content engagement we combine OTT analytics with Quality of Experience (QoE) metrics. You can see how video content drives viewer behavior, revealing opportunities for ad monetization. Marketing analytics allows you to quickly build and deliver video experiences to targeted audiences based upon common characteristics, such as age and viewing frequency.

Segmenting the platform

It will help you separate the proverbial casual shoppers from the qualified leads, it also gives you details about your customers so that you can separate them into buckets and target them accordingly. These groups can consider anything from demographic info to past shopping behaviors, to web usage patterns in order to make meaningful subsets out of your customers.

Behavioral Clustering As leads convert to customers, the path leading them to conversion becomes incredibly valuable for a marketer focused on leveraging predictive analytics.

That information, called behavioral data, means fairly little alone. When combined with demographic (or firmographic, in the case of B2B companies) data, it empowers marketing teams to identify commonalities and trends that help create new target segments.

Product-Based Clusters deviate slightly in that they focus specifically on tracking specific buying trends among target demographics. For B2C customers, this has a fairly obvious application. Customers who buy similar items can all be prompted with the same promotional information. For B2B customers, the use case actually expands a bit. As you will see with a deeper dive into “recommendations” later in the piece, these product-based clusters also help marketing technologists accurately forecast the lifetime value of a customer?

Prepare a better with predictive intelligence

By developing your own computer model, you can still work within your means to make smart predictions about customers. Similar to segmentation, predictive modeling lets you drill down to an even more granular level to identify your customers and target them with the right marketing campaigns that will nudge them to make a purchase. Giving more personalized recommendations, you can use historical purchase and demographic data to identify your sales or usage cycles and then target users based on when they’re more likely to purchase a product or service.

By using some of our predictive marketing tool that uses data to give you a comprehensive insight into who your most promising customers are, and how best to target them next. That can collect and digs up data from other software tools like your CRM and marketing automation software so that you can act on insights and pinpoint the hottest leads. With those insights, you can react to what’s happening in the blink of an eye and adapt your marketing to get a better response.

Storytelling plays a bigger part in your picture

Storytelling is the often-forgotten step in the marketing analytics process. Collecting data is great, but it’s pretty useless unless you can explain it. Interpreting data can be somewhat of a creative process, but it’ll be infinitely easier when you can see the entire set of data and the factors that affected it in order to be able to provide a coherent narrative to your data.

With insights from marketing analytics, you can then rely on tools for optimization, targeting, and audience management to drive your best story forward. Data can then be turned into dashboards and graphs that show the overall performance of marketing efforts across multiple channels. You can also drill down to individual campaigns in order to get a comparative look at campaign performance and make decisions about the overall marketing strategy based on these reports.

How Blackcoffer can help?

Our team of experts provides assistance at various levels of the modeling process, from training to design to implementation, to validation.

Blackcoffer’s data analytics solution team consists of high-caliber individuals with long-standing experience in Machine learning, AI of Marketing and data analytics.

Some examples of solutions tailored to your needs:

• A managed service where we provide independent validation of your model at your request
• Expert assistance with the design and implementation of your own model
• A stand-alone tool
• Training on the data analytics solutions, the credit scoring model, logistic regression, statistical modeling or any other related topic tailored to your needs

Why you should choose Blackcoffer for Advanced Analytics in the Marketing:

• Tailored, flexible and pragmatic solutions
• Full transparency
• High-quality documentation
• A healthy balance between speed and accuracy
• A team of experienced quantitative profiles
• Fair pricing