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How to Get Consistent Results From Your CRO Efforts - SplitBase

How to Get Consistent Results From Your CRO Efforts - SplitBase | The MarTech Digest | Scoop.it
As I mentioned earlier, A/B testing can be a game-changer if you have well-thought-out, strategic hypotheses for what you want to test.

But how do you know what to test? How do you come up with a high-quality hypothesis?

This is where I want to show you a 10,000ft view of our own methodology. We call it the Testing Trifecta.
CYDigital's insight:

A smart framework.

 

Subscribe to The MarTech Digest: http://bit.ly/miocom #MarTech

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Unbounce vs. Optimizely: Split Testing Tools for Lead Gen - TechnologyAdvice

Unbounce vs. Optimizely: Split Testing Tools for Lead Gen - TechnologyAdvice | The MarTech Digest | Scoop.it
Good Split Tests Are

  • Scientific: The test comes from a hypothesis or theory about how your customers react to your site. It uses real data. 
  • Statistically significant: Run the test on enough users that you can see a statistically significant difference between the two examples. 
  • Analytical: Collect enough data to analyze what works and what doesn’t. 
  • Reproducible: If you saw the needle move once with a set of customers, it should move again in a similar fashion with another set of customers.
  • Iterative: Once your team sees a significant change in customer engagement, you can restart your test with a new change.
CYDigital's insight:

Unbounce starts with the landing page whereas Optimizely starts with the testing. Answer: use both.

 

Visualize your Marketing Stack. marketingIO will analyze your marketing technology and deliver a visual of your MarTech Stack. Free. Go here: http://go.marketingio.com/stack_analysis 

 

marketingIO: MarTech for B2B Marketers. Strategy, Software, Services, Support, Staffing.  Go here to submit RFQs: http://www.marketingio.com #MarTech #DigitalMarketing

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The 6 A/B Testing Mistakes That Stifle Conversions | Simply Measured

The 6 A/B Testing Mistakes That Stifle Conversions | Simply Measured | The MarTech Digest | Scoop.it
1. Testing Without Purpose

2. Failing to Make Big Changes

3. Not Differentiating Between New and Repeat Visitors

4. Using the Wrong Tool

5. Not Testing for a Long Enough Period of Time

6. Assuming You Know What People Want
CYDigital's insight:

Ding, ding, #3 is a winner.

 

Visualize your Marketing Stack. marketingIO will analyze your marketing technology and deliver a visual of your MarTech Stack. Free. Go here: http://go.marketingio.com/stack_analysis 

 

marketingIO: MarTech for B2B Marketers. Strategy, Software, Services, Support, Staffing.  Go here to submit RFQs: http://www.marketingio.com #MarTech #DigitalMarketing

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7 A/B Tests for Optimizing Email Marketing - cleverbridge

7 A/B Tests for Optimizing Email Marketing - cleverbridge | The MarTech Digest | Scoop.it
Testing Email Body Content

Testing Email Sending Cadence

Testing Product vs Company Name

Testing Preheader Glyphs

Testing Deadline Text

Testing Send Time
CYDigital's insight:

Pleasantly surprised with these testing areas! Smart approach. CT for the details.

 

Visualize your Marketing Stack. marketingIO will analyze your marketing technology and deliver a visual of your MarTech Stack. Free. Go here.

 

marketingIO: MarTech for B2B Marketers. Strategy, Software, Services, Support, Staffing.  Go here to submit RFQs. #MarTech #DigitalMarketing

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Sermo Article Email Case Study - MECLABS

CYDigital's insight:

Only 9 slides that captures the essence of this experiment.

 

Visualize your Marketing Stack. marketingIO will analyze your marketing technology and deliver a visual of your MarTech Stack. Free. Go here.

 

marketingIO: MarTech for B2B Marketers. Strategy, Software, Services, Support, Staffing.  Go here to submit RFQs. #MarTech #DigitalMarketing

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Website Testing and Personalization Solutions - Google Optimize – Google

Website Testing and Personalization Solutions - Google Optimize – Google | The MarTech Digest | Scoop.it
Discover the most engaging customer experiences with Google Optimize (beta). Test different variations of your site and then tailor it to deliver a personalized experience that works best for each customer and for your business.

CYDigital's insight:

A bit back, Google offered Google Website Optimizer. It died, and now the concept is back in a new offering. Strongly recommend you sign up and kick it around. The price is right.

 

marketingIO.com bridges the gap between your MarTech and your in-house experience. Contact us. #MarTech #DigitalMarketing

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Here's an AB Testing Framework Used By CRO Professionals - Conversion Sciences

Here's an AB Testing Framework Used By CRO Professionals - Conversion Sciences | The MarTech Digest | Scoop.it
Here is a proven AB testing framework used by CRO experts to deliver consistent, repeatable results.
CYDigital's insight:

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

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How to Run an A/B Test in Google Analytics - Kissmetrics

How to Run an A/B Test in Google Analytics - Kissmetrics | The MarTech Digest | Scoop.it
Landing page optimization and split testing techniques can get extremely confident and require special tools that only CRO professionals can navigate. However Google Analytics includes their own simple split testing option in Content Experiments.

Assuming you already have the new page variations created and you’re comfortable editing your site’s code, they literally only take a few seconds to get up-and-running. And they can enable anyone in your organization to go from research to action by the end of the day.
CYDigital's insight:

Brilliant. CT for the step by step instructions.

 

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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3 Landing Page A/B Testing Rules That Helped Us Increase Revenue By 94% - SEMrush

3 Landing Page A/B Testing Rules That Helped Us Increase Revenue By 94% - SEMrush | The MarTech Digest | Scoop.it
  • A/B tests are not about guesswork. Don’t start without knowing what you want to test, how this change should modify user behavior, why users should react to it positively and what results you expect to get.
  • Base your hypotheses on data. Here’s our toolkit for experiments, from the top the funnel to the bottom:
  1. AdWords to analyze clicks and spends
  2. Inspectlet to monitor user’s actions on a landing page
  3. BigQuery+Tableau for tracking what happens after the user clicks the “Try It” button (registrations, pages viewed in SEMrush reports, payments, refunds, etc.).
  • Remember the importance of statistical confidence. Use tools like Convert, Optimizely, VWO or others to determine when the data you’ve gathered is enough to evaluate the results.
  • Question “universal truths.” 
  • Silver bullets are hard to find. 
CYDigital's insight:

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

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How to Segment in Google Analytics to Generate Better Results - CrazyEgg

How to Segment in Google Analytics to Generate Better Results - CrazyEgg | The MarTech Digest | Scoop.it

"For those who are just starting to use segmentation in Google Analytics for A/B testing, I suggest you focus on these few key types of segments:

  • Traffic source
  • Location/geography
  • Visitor type
  • Landing page type
  • Action taken
  • Content viewed
  • Engagement – Different pages in your website may have varying levels of customer engagement. Creating a segment type based on engagement helps you make improvements to pages that produce less engagement.
  • Demographics
  • Technology platform
  • Value – One of the classic segmentation techniques is to segment your visitors based on their value. You can then identify the source of these visitors and their journey towards your conversion goals."
CYDigital's insight:

And how to AB test when you CT.

 

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

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The A/B Testing Framework So Good It Got A Codename - SumoMe

The A/B Testing Framework So Good It Got A Codename - SumoMe | The MarTech Digest | Scoop.it
ResearchXL is a framework for identifying problems or issues your website has, and turning those into hypotheses you can test. With it, you use six types of data...

Heuristic Analysis
Technical Analysis
Digital Analytics
Mouse Tracking
Qualitative Surveys
User Testing
CYDigital's insight:

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

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Introducing the 2016 Testing Toolkit - Optimizely

Introducing the 2016 Testing Toolkit - Optimizely | The MarTech Digest | Scoop.it
In the 2016 Testing Toolkit we include resources to craft, execute, and measure individual experiments, while building thorough research and ideation into your process. You’ll also find helpful tips from other Optimizely users, as well as tools for educating your colleagues about the benefits of optimization, and building adoption internally.

The toolkit includes:

Infographic of Test Ideas by Industry
Test Ideation and Hypothesis Generation Worksheets
Test Idea Prioritization Frameworks
Test Plan Template
Results Sharing Presentation Template
Testing Overview Presentation Template
Test Idea Submission Flyer Template
Testing Hackathon Flyer Template


Download the entire toolkit now.


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

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Why A/B tests are outdated — Medium

Why A/B tests are outdated — Medium | The MarTech Digest | Scoop.it

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

CYDigital's insight:

Post includes a link to learning more about machine learning. Think MVT as a bridge between the two, assuming your sample is large enough.

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Which Methods Will Help Improve Conversion Rates? - eMarketer

Which Methods Will Help Improve Conversion Rates? - eMarketer | The MarTech Digest | Scoop.it

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

CYDigital's insight:

Why MVT is at the bottom of the "most effective" list tells me there's a lack of knowledge. Oh Google Website Optimizer: where have you gone????

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11 A/B Tests for Super Converting Email Campaigns | Commerce Sciences Blog

11 A/B Tests for Super Converting Email Campaigns | Commerce Sciences Blog | The MarTech Digest | Scoop.it

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

CYDigital's insight:

Doesn't anyone do MVT anymore?

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My 7 Rules for A/B Testing That Triple Conversion Rates - Lars Lofgren

My 7 Rules for A/B Testing That Triple Conversion Rates - Lars Lofgren | The MarTech Digest | Scoop.it

marketingIO’s MarTech Managed Services solves numerous B2B Marketing challenges. 

CYDigital's insight:

Definite click to read the whole magilla, especially the explanation behind the 99% statistical significance note.

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10 Opt-in Form A/B SplitTests [With Results] - GetResponse Blog

10 Opt-in Form A/B SplitTests [With Results] - GetResponse Blog | The MarTech Digest | Scoop.it

marketingIO’s MarTech Managed Services solves numerous B2B Marketing challenges. 

CYDigital's insight:

Please click through for specifics to each test.

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Marketing and Online Testing Dictionary - MarketingExperiments

Predictive Analytics is the next step in Marketing Automation. 

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A Guide to AB Testing with Google Analytics Content Experiments » Conversion Optimization Blog - A/B Testing Software

A Guide to AB Testing with Google Analytics Content Experiments » Conversion Optimization Blog - A/B Testing Software | The MarTech Digest | Scoop.it
There are a lot of paid tools that you can use for A/B testing. But Google Analytics is one of the best free tools which you can use for running A/B testing experiments. It’s readily available for anyone. In this post I will be taking a critical view at Google Analytics’ split testing abilities and try to answer if it’s the right tool for you to be using. In Google Analytics, A/B testing is referred to as a content experiment.


Dark marketing clouds ahead? Let marketingIO help you see clearly. 

CYDigital's insight:

Click through for details, as it is a complete step by step primer. It's hard...very hard...so I could see many not bothering and moving towards a standalone AB Testing tool.

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A Digital Marketer's Guide for Discovering the Right A/B Testing Formula [Infographic] - Visual Contenting

A Digital Marketer's Guide for Discovering the Right A/B Testing Formula [Infographic] - Visual Contenting | The MarTech Digest | Scoop.it

marketingIO bridges the gap between your MarTech and your in-house experience. 

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The best A/B testing idea you never knew about…until now | B2B News Network

The best A/B testing idea you never knew about…until now | B2B News Network | The MarTech Digest | Scoop.it

"Here’s a three-step process Sharp says marketers can use to better understand and profit from A/B testing results.

First, take that list of ideas you’ve got and throw it in the trash bin. Really. Some of those ideas are likely to be quite good, but are they important for you and your goals? Most of them won’t be. There is a need to avoid what Sharp refers to as the “curse of knowledge,” a sort of cognitive bias that can cause those with an abundance of knowledge or expertise to be blind to thinking about problems from different perspectives.

Next, listen to your customers and prospects. Ask the right questions. This sounds obvious, but are you really asking and listening to the reasons why people are—or aren’t—converting? Utilizing analytics tools like Qualaroo, which enable website surveys to uncover customer insights that lead to better business results, can be extremely helpful, allowing you to ask simple, straightforward questions like, “If you’re not going to sign up today, can you tell us why not?” Also, if your business offers customers and prospects live chat, carefully review what goes on with that project. There’s no point developing a customer-service process without checking in to see if it’s viable for your long-term business model.

Finally, use a framework to make decisions about what to test and when. You are not going to quadruple your conversion rate overnight, but just having a framework will be helpful. Test objectives in one to two sentences. Formulate and write down your hypotheses."


marketingIO’s Outsourcing delivers the vetted talent you need under your complete management and control. 

CYDigital's insight:

A/B Testing: one of the most underutilized and misused concepts. Why isn't it done and done correctly? 9 times out of 10: it's not built into the project plan.

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Marcom Valuation: An Alternative to A/B Testing | Marketing Technology

Marcom Valuation: An Alternative to A/B Testing | Marketing Technology | The MarTech Digest | Scoop.it

"I recommend using ordinary regression to control for all other stimuli. Regression modeling also gives insights into marcom valuation which can generate an ROI. This is not done in a vacuum, but provides options as a portfolio to optimize budget.

Let’s say we were testing two emails, test vs. control and the results came back non-sensical. Then we found out that our brand department accidentally sent a direct mail piece to (mostly) the control group. This piece was not planned (by us) nor accounted for in randomly choosing the test cells. That is, the business-as-usual group got the usual direct mail but the test group–which was held out–did not. This is very typical in a corporation, wherein one group does not work nor communicate with another business unit.

So instead of testing wherein each row is a customer, we roll up the data by time period, say weekly. We add up, by week, the number of test emails, control emails and direct mails sent out. We also include binary variables to account for season, in this case quarterly. TABLE 1 shows a partial list of the aggregates with the email test starting in week 10."


Not having a fun time with IT? Contact us: we can act as your buffer to get the job done.

CYDigital's insight:

"Simple" regression modeling. No: not simple unless you have the right tool(s).

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The Engine That Steers All Marketing Efforts: A/B Testing - Inturact

The Engine That Steers All Marketing Efforts: A/B Testing - Inturact | The MarTech Digest | Scoop.it

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

CYDigital's insight:

This sermon is spot-on. Get religion.

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How to Double Your CTR with a Scientific AdWords Ad Copy A/B Test - Search Engine Watch

How to Double Your CTR with a Scientific AdWords Ad Copy A/B Test - Search Engine Watch | The MarTech Digest | Scoop.it
When it comes to AdWords advertising, ad copy variations are one of the most important elements to constantly be testing, especially as you only have two or three seconds to differentiate yourself from the competition. In a short amount of time you can double your click-through rate (CTR) with only a handful of ad copy tests.

As anyone who manages AdWords campaigns knows, any time you boost your CTR your Quality Score (QS) will go up, your cost per click (CPC) will go down and your overall campaign profit will increase as long as the landing page conversion rate remains the same.

One thing to always keep in mind is that you need to make sure your ad copy tests are scientifically accurate so that the results you get will provide a lasting benefit.

The good news is that I'm going to walk you through exactly how to conduct a scientific ad copy A/B test for AdWords and how to make sure your test results are statistically significant.


MarTech is the best tool available to bridge the gap between Sales and Marketing. Contact us to see how.

CYDigital's insight:

It's a nice, step by step guide to improve your CTR from your PPC.

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How Top of The Funnel A/B Tests Help Determine Your Website Content | The Optimizely Blog

How Top of The Funnel A/B Tests Help Determine Your Website Content | The Optimizely Blog | The MarTech Digest | Scoop.it

From MarTech 101 to Advanced Techniques, iNeoMarketing has you covered. Contact us.

CYDigital's insight:

It's the last one that is most sensible: using posts to determine the best blog headline.

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