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Five Key Elements For A Big Analytics Driven Business Impact - Occum's Razor

Five Key Elements For A Big Analytics Driven Business Impact - Occum's Razor | The MarTech Digest | Scoop.it
Not every company can afford to have full-time people dedicated to analysis. Hence let me make optimal recommendations for three types of companies.

If you are a handful of employees small business, here's your balance between data capture, data reporting, data analysis: 05 | 20 | 25.

You are a small business, I get it, you only have a part of one resource dedicated to data. No problem. Ensure that part-time resource is spending their time with a 05 | 20 | 25 balance. At your size, you'll still win with data.

If you are a numerous employees medium sized business that is growing at a ferocious pace, here's your DC | DR | DA balance: 10 | 25 | 65.

Lastly, if you are a massive employees corporation here's your DC | DR | DA balance: 15 | 35 | 50.
Marteq's insight:

Great guidance. For a full understanding, please CT.

 

MarTech requires constant optimization to continually squeeze ever improving performance. No time for continual CRO? Contact us. #MarTech #DigitalMarketing

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7 Epiphanies Needed to Intuitively Grasp Statistical Significance - Kissmetrics

7 Epiphanies Needed to Intuitively Grasp Statistical Significance - Kissmetrics | The MarTech Digest | Scoop.it
Epiphany #1: Large sample sizes dilute eccentricity
Epiphany #2: P-values are trade-offs between certainty and experiment length
Epiphany #3: Small differences in conversion rates are near impossible to detect. Large ones, trivial.
Epiphany #4: You destroy a test’s validity by pulling the plug before its preordained test-duration has passed
Epiphany #5: “Relative” improvement matters, not “absolute” improvement
Epiphany #6: “Statistically insignificant” does not imply that the opposite result is true
Epiphany #7: Any tests that are run consecutively rather than in parallel will give bogus results
Marteq's insight:

CT for the devil in the details.

 

Email your comments to joe_rizzo@marketingIO.com. I’ll publish it here. marketingIO: One Source for All Marketing Technology Challenges. See our solutions.  

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B2B Data Management: Marketers' Top Goals and Challenges - Profs

B2B Data Management: Marketers' Top Goals and Challenges - Profs | The MarTech Digest | Scoop.it
Marketing Strategy - B2B marketers say the most important goal of their data management strategy is to improve ROI measurability, according to recent research from Openprise and Ascend2.
Marteq's insight:

NEW: Experience Remarkable Planning Accuracy With New, FREE Growth Hacking Tool. Go here: http://goo.gl/UjcA8x   

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Despite The Hype, Marketers Still Are Mostly Fumbling Around With Data - CMO.com

Despite The Hype, Marketers Still Are Mostly Fumbling Around With Data - CMO.com | The MarTech Digest | Scoop.it
A 2015 survey of more than 100 advertisers by the Interactive Advertising Bureau and the Winterberry Group found that only 34.8% of respondents in the survey said they have used data to help grow revenues. That’s about half the number that said growing revenues was one of the three most important objectives of using audience data.

A Forrester study also found that only 25% of data and analytics decision makers said their firms’ business intelligence investments have resulted in consumer satisfaction. And a third survey, from Iron Mountain and PwC, found that only 4% of businesses said they could extract full value from the data they have.

SocialCode recently conducted a survey with The CMO Club among 80 CMOs looking at how they used data. In particular, the report found 61% of respondents said they didn’t use digital advertising to identify new customer segments. 

If marketers aren’t using data to identify new customer segments, what are they using it for? According to December 2014 research from eConsultancy, the most common uses for data were attribution and calculating lifetime customer value.

 

marketingIO: One Source for All Marketing Technology Challenges. See our solutions

Marteq's insight:

Cashing in on Data Capital is coming. What will drive it? The right tools.

SEGUIN Marine's curator insight, March 10, 2016 5:41 AM

Cashing in on Data Capital is coming. What will drive it? The right tools.

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Dos and Don’ts of Becoming a Successful Data-Driven Marketer - ClickZ

Dos and Don’ts of Becoming a Successful Data-Driven Marketer - ClickZ | The MarTech Digest | Scoop.it

Digest...


DON'T let fear or uncertainty stop you from starting today.

DO learn the languages of analytics.

DO combine your data with other data sets. DON'T think you can do it alone.

DON'T expect the data to tell you everything you need to know about your customers. DO augment your data-driven insights via other types of intelligence such as qualitative and/or contextual research.

DO tear down the walls to collaborate.

DON'T forget it's a work in progress.

DO be flexible.

DON'T use the past to hold back future decisions.

DO make data your friend not your enemy.

 

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Marteq's insight:

DO deploy the assistance of IT. DON'T think you can do this on your own.

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4 Tips for Leveraging CRM Data - Chiefmarketer

4 Tips for Leveraging CRM Data - Chiefmarketer | The MarTech Digest | Scoop.it
To start leveraging your CRM data, take these key steps.

1. Target campaign to customers’ attributes: The more you know about what your customer “looks like” the more successful you’ll be. Dig into your CRM data to find trends in attributes including past purchases, affinities, demographics and other characteristics of your existing customers. As well as showing you which customers convert better, this enables cross-sell and up-sell opportunities.

Create a CRM segment of customers who purchased within the last seven days, and create offer “A” (an extended warranty, maybe). For another segment who purchased more than six months ago, create offer “B.” Your CRM insights are now keeping you relevant, avoiding the risk of alienating customers through mistargeting.

2. Segment to Deliver Results: Onboard your CRM segments into your online marketing platform and deliver across multiple channels. You can run your custom campaigns across ad networks, social media and your own website, creating a consistent, personalized dialogue and customer experience. Use real-time analytics to see what is working or not.

3. Optimize and extend: Now, use your CRM data to extend your customer base. Take what you know about your high-performing customers, overlay it on third-party datasets, and build lookalike audiences of prospects who share your top customers’ attributes. If you know that a particular income level combined with ownership of a certain car model are top customer attributes, create a custom audience of prospects based on this. Compared to targeting a generic audience… well, as our research shows, there’s a league of difference.

4. Don’t forget to scrub that data: Make sure that your CRM is complete, up-to-date, and accurate. That means name, address, phone number and email at a minimum. Whether you interact with customers in-store or via call center, this information is essential for a personalized experience that makes customers feel valued. It also helps you quickly identify and spend time with high-value customers.


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Marteq's insight:

See step #3? Predictive takes that much further. In fact, predictive takes all 4 steps much further. So the moral of the story? Find a predictive engine (or wait until one is fully integrated with your CRM).

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The 2014 State of B2B Marketing Data - NetProspex | #TheMarketingTechAlert

Topline:


84% of marketing databases are barely functional.

88% of 61M+ records analyzed were lacking basic firmographic data.  (industry, company revenue, number of employees)

 

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Marteq's insight:

Pretty woeful study. Data kills, peeps: get some! The report is a quick read.

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The Data Machine [Infographic] - Experian | #TheMarketingTechAlert

The Data Machine [Infographic] - Experian | #TheMarketingTechAlert | The MarTech Digest | Scoop.it
View our infographic to understand how data is the oil that keeps the cogs of the business turning!


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Marteq's insight:

Suggestion: use this as an audit tool (or the basis for an audit tool).

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The Marketer's Guide to Actionable Data [Infographic] - Profs | #TheMarketingAutomationAlert

The Marketer's Guide to Actionable Data [Infographic] - Profs | #TheMarketingAutomationAlert | The MarTech Digest | Scoop.it
Metrics & ROI - Using historical and real-time data about customers, marketers can create tailored experiences for them and drive company revenue.

 

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Marteq's insight:

Monetate creates some of the best infographics, and this one does not disappoint. Encouraging you to review carefully.

Marteq's curator insight, May 19, 2014 6:54 AM

Monetate creates some of the best infographics, and this one does not disappoint. Encouraging you to review carefully.

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The Marketer's Guide to Actionable Data [Infographic] - Profs

The Marketer's Guide to Actionable Data [Infographic] - Profs | The MarTech Digest | Scoop.it
Metrics & ROI - Using historical and real-time data about customers, marketers can create tailored experiences for them and drive company revenue.

 

__________________________________

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).

Marteq's insight:

Monetate creates some of the best infographics, and this one does not disappoint. Encouraging you to review carefully.

Marteq's curator insight, December 15, 2013 12:51 PM

Monetate creates some of the best infographics, and this one does not disappoint. Encouraging you to review carefully.

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Why data-driven marketers shouldn't trust the data fully - Chief Marketing Technologist | #TheMarketingAutomationAlert

Why data-driven marketers shouldn't trust the data fully - Chief Marketing Technologist | #TheMarketingAutomationAlert | The MarTech Digest | Scoop.it

Digest...


But the choice of labels on that graph — admittedly, taken out of context — triggered an important tangent that I think is worth discussing. It’s good to be confident in embracing data-driven management, but great data-driven managers should always be skeptical of the data.

 

In some ways, this is Clay Christensen’s classic innovator’s dilemma: what worked in the past holds us back from what needs to change in the future. Data from the previous strategic context can further calcify that prior worldview. To break out of the dilemma, you need to consider different data. It’s not a question about whether the data is right, but whether it’s the right data.

 

You can have confidence in using data while not fully trusting the data. It’s not that you doubt its accuracy. But you’re skeptical of data’s context, relevance, and completeness in the conclusions that are being drawn from it.

 

“Fact-based decision-making” is a term that’s growing in popularity. And while I laud the intent behind it — data over opinions — I remain cautious that “facts” are a slippery thing, especially when you go from the what to the why. Opinions can be all too easily disguised with data to look like facts.

 

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Marteq's insight:

Scott Brinker often writes about hypothesis testing and the scientific method. And this is an adjunct of that thinking: challenge the data through testing, testing, testing. And if you test it multiple ways, you may find that your conclusion is correct.

Marteq's curator insight, May 19, 2014 7:02 AM

Scott Brinker often writes about hypothesis testing and the scientific method. And this is an adjunct of that thinking: challenge the data through testing, testing, testing. And if you test it multiple ways, you may find that your conclusion is correct.

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Why data-driven marketers shouldn't trust the data fully - Chief Marketing Technologist

Why data-driven marketers shouldn't trust the data fully - Chief Marketing Technologist | The MarTech Digest | Scoop.it

Digest...


But the choice of labels on that graph — admittedly, taken out of context — triggered an important tangent that I think is worth discussing. It’s good to be confident in embracing data-driven management, but great data-driven managers should always be skeptical of the data.

 

In some ways, this is Clay Christensen’s classic innovator’s dilemma: what worked in the past holds us back from what needs to change in the future. Data from the previous strategic context can further calcify that prior worldview. To break out of the dilemma, you need to consider different data. It’s not a question about whether the data is right, but whether it’s the right data.

 

You can have confidence in using data while not fully trusting the data. It’s not that you doubt its accuracy. But you’re skeptical of data’s context, relevance, and completeness in the conclusions that are being drawn from it.

 

“Fact-based decision-making” is a term that’s growing in popularity. And while I laud the intent behind it — data over opinions — I remain cautious that “facts” are a slippery thing, especially when you go from the what to the why. Opinions can be all too easily disguised with data to look like facts.

 

__________________________________

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).


Marteq's insight:

Scott Brinker often writes about hypothesis testing and the scientific method. And this is an adjunct of that thinking: challenge the data through testing, testing, testing. And if you test it multiple ways, you may find that your conclusion is correct.

Marteq's curator insight, November 12, 2013 9:41 PM

Scott Brinker often writes about hypothesis testing and the scientific method. And this is an adjunct of that thinking: challenge the data through testing, testing, testing. And if you test it multiple ways, you may find that your conclusion is correct.