Engagement science enables seamless integration between data and marketing strategies. It provides a platform for marketers and data scientists to interact with customers in a meaningful way. Engagement scientists create a better, stronger understanding of how customers interact with their brands, then implement strategic decisions based on analysis.

A growth hacker may practice engagement science, but by no means should growth hacking be equated with engagement science. Yes, growth hackers and engagement scientists both bridge marketing, product and engineering teams.

However, the primary differentiator of engagement science is that it connects its measurements (like email opens and clicks) directly with marketing decisions through statistical models, as opposed to intuition or accepted wisdom.

A data scientist, for instance, excels at drawing insights from data sets, but an engagement scientist takes it a step further and ensures that the analysis turns into value for customers and, as a result, your brand.

MarTech is the best tool available to bridge the gap between Sales and Marketing. 

iNeoMarketing executes your revenue-generating efforts with the right metrics and the appropriate reports. Contact us to learn more.

iNeoMarketing’s MarTech Managed Services solves numerous B2B Marketing challenges. Contact us to see how.

► About Us: iNeoMarketing provides Marketing Technology services, applications and support to B2B companies who do not have the required resources, knowledge or expertise. Visit us at ineomarketing.com. ◄

Digest...

The ROI of this data-driven style of mar­ket­ing is clear: increased engage­ment, more ad impres­sions, bet­ter cus­tomer reten­tion, increased sales, etc. I believe three inno­va­tions in ana­lyt­ics are enabling mar­keters to rein­vent themselves.

1. Visual Data with Context

Tra­di­tional reports dis­play black-and-white data. It’s just about the num­bers. Adding con­text and con­tent enhances your reporting—the data is col­or­ful, Hi-Def. More impor­tantly, it con­nects peo­ple to their cam­paigns in a more visual way. With con­text and con­tent, your report­ing has the abil­ity to show how the num­bers are con­nected to the cus­tomer experience.

2. Action­able Data

As ana­lyt­ics soft­ware con­tin­ues to improve, data is becom­ing sharper and more insightful—the data is smarter now. This smarter data lets mar­keters quickly iso­late cus­tomer insights, which is a key to greater data rel­e­vancy, and it’s enabling mar­keters to make bet­ter real-time decisions.

3. Smarter Analysis

With smarter data, analy­sis is sim­pli­fied. You get bet­ter, visu­al­ized data that make insights eas­ier to iden­tify and respond to. This shift has also made it so any­one can now mine data for insights because the tools are there for mar­keters and ana­lysts of all types to dig into the data. Now, busi­nesses big and small can take the data they’ve been col­lect­ing and uncover use­ful cus­tomer infor­ma­tion, which is dri­ving change in the way mar­keters work.

__________________

► Receive a FREE daily summary of The Marketing Technology Alert directly to your inbox. To subscribe, please go to http://ineomarketing.com/About_The_MAR_Sub.html  (your privacy is protected).

Intermediate/ Excerpt...

One of the top takeaways: “Marketers recognize the importance of data, but aren’t widely using it to make informed decisions.” Here are the supporting facts and figures:

• 76% of marketers agree they need to be more data-focused to succeed
• 49% of marketers report “trusting my gut” to guide decisions on where to invest their marketing budgets
• 72% of marketers agree that long-term success is tied to proving marketing return on investment

____________________________________________________

► Receive a FREE daily summary of The Marketing Technology Alert directly to your inbox. To subscribe, please go to http://ineomarketing.com/About_The_MAR_Sub.html  (your privacy is protected).

Digest...

It's about gaining the benefit of true analytics without requiring a team of technologists, mathematicians and data analysts hanging over the marketer's shoulder to interpret the numbers. Perhaps most importantly, it's about finding the right balance between the art and science of marketing, combining creativity and the insights from marketing analytics tools to support business decisions.

There's a lot of lip service given today to using data to drive more strategic and successful marketing campaigns and other activities. But it's one thing to deliver "descriptive analytics" on the same tired data time and time again, and another to use the data for insights that actively drive more revenue and higher profitability. That's why the distinction between data scientist and a data artist is so important.

"A data scientist is responsible for understanding and advancing the nature of data, its collection methods, and the algorithms for processing it .... A data artist is responsible for delivering fresh insights from data to help an organization meet its goals. This is the person who takes the output from decision-support systems and turns it into consumable theories, postulates and hypotheses that can be tested and applied to the business."

__________________________________

► NEW: iNeoMarketing makes content marketing easy with the new Q8 Content. Q8 fills your content pipeline daily with relevant articles that your audience wants to read. Learn more and sign up for the beta program: http://www.Q8content.com.

► Receive a FREE daily summary of The Marketing Technology Alert directly to your inbox. To subscribe, please go to http://ineomarketing.com/About_The_MAR_Sub.html  (your privacy is protected).