Advanced Analytics


Web analytics, Facebook, Twitter, Pinterest, SEO, SEM are just a few of the data sources now available to the marketer. Often the best insights come from combining these data sources. We can help you answer tougher questions using deep-dive analytics techniques to discover the insights that matter.

Does your team spend most of their time creating reports or delivering real insights?

Do you feel like you’re creating a lot of reports with questionable value?

Do you want to combine your web analytics data with other sources for deeper insights into customer behavior across channels?

Do you want to include your web analytics data in a big data repository?

From big picture to tactical details, our advanced analytics team can help you dig deeper and answer the tougher questions that squeeze real value out of every dollar you spend.

Here are a few ways we can help

  • Advanced Reporting and Data Visualization:

    when you want to move beyond simple reporting tools and start to combine multiple data sources to communicate deeper and more compelling insights

  • Report Automation and Distribution:

    when you want to reduce manual efforts and begin to create and deliver insights automatically

  • Insights and Storytelling:

    when you want an external expert to take a look at your data and bring another set of eyes to it

  • Data Curation and ETL:

    when you need to get ready for advanced analytics by preparing raw data for the deeper dives that data visualization and complex query tools enable

Our Process*

*With each of our clients, we take a process-based, scientific approach to build out an effective execution plan for you.

Step No.

01. Discovery + Design

No matter the solution we’re involved with, it’s crucial that stakeholders understand how analytics strategies are influenced, and driven by, business objectives. During this phase, we may conduct interviews, document KPIs, gather requirements, update an existing Solution Design Reference (or create a new one), and build out analytics and QA test plans. This crucial discovery phase creates a foundation that can persist as your company continues to grow and change.

Step No.

02. Implementation + Validation

After determining that business objectives are aligned to analytics (and creating necessary documentation), this is where we build out test plans, write tech specs, create deployment guides, configure report suites, or build data visualizations, conduct QA, and deploy solutions.

Step No.

03. Analysis + Governance

It’s critical that businesses and stakeholders understand not only what’s being collected, but how the data is governed. During this phase, we setup reporting and make sure that the team understands how to use the data.

Step No.

04. Knowledge Transfer

What use are analytics systems, data visualizations, strategies, or tools that your team doesn’t know how to use? This phase ties together the pieces to make sure that people are trained, understand what’s happening, and can use the tools that lead to real results and huge ROIs.

Step No.

05. Growth + Next Steps

In any engagement, Numeric is keeping an eye on industry trends to recommend and help you identify how to grow and expand your analytics practice. During this phase, we’ll walk through ideas we have and consult on best practices, using all available information to lead you up the analytics maturity curve.

Data is in our DNA.

Services and Offerings

Analytics Strategy

Align analytics and optimization with business goals

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Advanced Analytics

Get more value out of the data you are already collecting

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Digital Optimization

Get the most out of your interactions with customers

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Tool Implementation

Ensure that digital marketing tools are implemented using best practices

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