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Content Assets: Score for Long-Term Success

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Content Assets: Score for Long-Term Success

Updated January 11, 2022

Want a balanced and actionable way to know whether your content is doing what it’s supposed to do?

Create a content scorecard.

A content scorecard allows for normalized scoring based on benchmarks determined by the performance of similar content in your industry or your company’s content standards.

It marries both qualitative and quantitative assessments. Quantitative scores are based on performance metrics such as views, engagement, SEO rank, etc. Qualitative scores are derived from predetermined criteria, such as readability, accuracy, and voice consistency (more on that in a bit).

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A #content scorecard marries qualitative and quantitative assessments, says @lindroux via @CMIContent. Click To Tweet

Let’s get to work to create a content scorecard template you can adapt for your situation.

Establish your quantitative success indicators

First, you must measure what matters. What is the job for that piece of content?

For example, an index or landing page is rarely designed to be the final destination. If a reader spends too long on that kind of page, it’s likely not a good sign. On the other hand, a long time spent on a detailed article or white paper is a positive reflection of user engagement. Be specific with your content goals when deciding what to measure.

What should you measure based on the content’s purpose? Here are some ideas:

  • Exposure – content views, impressions, backlinks
  • Engagement time spent on page, clicks, rating, comments
  • Conversion – purchase, registration for gated content, return visits, click-throughs
  • Redistribution – shares, pins

After you’ve identified your quantitative criteria, you need to identify the benchmarks. What are you measuring against? Industry standards? Internal standards? A little of both?

A good starting point for researching general user behavior standards is the Nielsen Norman Group. If you seek to focus on your industry, look at your industry marketing groups or even type something like “web metrics for best user experience in [INDUSTRY].”

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Find out general web user behavior standards from @NNGroup research, advises @lindroux via @CMIContent. Click To Tweet

Below is a sample benchmark key. The left column identifies the metric, while the top row indicates the resulting score on a scale of 1 to 5. Each row lists the parameters for the metric to achieve the score in its column.

Sample Quantitative Content Score 1-5 *

Score: 1 2 3 4 5
Page Views/Section Total <2% 2 – 3% 3 – 4% 4 – 5% >5%
Return Visitors <20% 20 – 30% 30 – 40% 40 – 50% >50%
Trend in Page Views Decrease of >50% Decrease Static Increase Increase of >50%
Page Views/Visit <1.2 1.2 – 1.8 1.9 – 2.1 2.2 – 2.8 >2.8
Time Spent/Page <20 sec 20 – 40 sec 40 – 60 sec 60 – 120 sec >120 sec
Bounce Rate >75% 65 – 75% 35 – 65 % 25 – 35% <25%
Links 0 1 – 5 5 – 10 10 – 15 >15
SEO <35% 35 – 45% 45 – 55% 55 – 65% >65%

*Values should be defined based on industry or company benchmarks.

Using a 1-to-5 scale makes it easier to analyze content that may have different goals and still identify the good, the bad, and the ugly. Your scorecard may look different depending on the benchmarks you select.

How to document it

You will create two quantitative worksheets.

Label the first one as “Quantitative benchmarks.” Create a chart (similar to the one above) tailored to identify your key metrics and the ranges needed to achieve each score. Use this as your reference sheet.

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Label a new worksheet as “Quantitative analysis.” Your first columns should be content URL, topic, and type. Label the next columns based on your quantitative metrics (i.e., page views, return visitors, trend in page views).

After adding the details for each piece of content, add the score for each one in the corresponding columns.

Remember, the 1-to-5 rating is based on the objective standards you documented on the quantitative reference worksheet.

Determine your qualitative analytics

It’s easy to look at your content’s metrics, shrug, and say, “Let’s get rid of everything that’s not getting eyeballs.” But if you do, you risk throwing out great content whose only fault may be it hasn’t been discovered. Scoring your content qualitatively (using a different five-point scale) helps you identify valuable pieces that might otherwise be buried in the long tail.

In this content scorecard process, a content strategist or someone equally qualified on your team/agency analyzes the content based on your objectives.

TIP: Have the same person review all the content to avoid any variance in qualitative scoring standards.

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Here are some qualitative criteria we’ve used:

  • Consistency – Is the content consistent with the brand voice and style?
  • Clarity and accuracy – Is the content understandable, accurate, and current?
  • Discoverability – Does the layout of the information support key information flows?
  • Engagement – Does the content use the appropriate techniques to influence or engage visitors?
  • Relevance – Does the content meet the needs of all intended user types?

To standardize the assessment, use yes-no questions. One point is earned for every yes. No point is earned for a no. The average qualitative score is then determined by adding up the yes points and dividing the total by the number of questions for the category.

To standardize a qualitative #content assessment, use yes-no questions, says @lindroux via @CMIContent. Click To Tweet

The following illustrates how this would be done for the clarity and accuracy category as well as discoverability. Bold indicates a yes answer.

Clarity and accuracy: Is the content understandable, accurate, and current?

  • Is the content understandable to all user types?
  • Does it use appropriate language?
  • Is content labeled clearly?
  • Do images, video, and audio meet technical standards so they are clear?

Score: 3/4 * 5 = 3.8

Discoverability: Does the layout of information on the page support key information flows? Is the user pathway to related answers and next steps clear and user-friendly?

Score: 1/5 * 5 = 1.0

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TIP: Tailor the questions in the relevance category based on the information you can access. For example, if the reviewer knows the audience, the question, “Is it relevant to the interests of the viewers,” is valid. If the reviewer doesn’t know the audience, then don’t ask that question. But almost any reviewer can answer if the content is current. So that would be a valid question to analyze.

How to document it

Create two qualitative worksheets.

Label the first worksheet “Qualitative questions.”

The first columns are the content URL, topic, and type. Then section the columns for each category and its questions. Add the average formula to the cell under each category label.

Let’s illustrate this following on the example above:

After the content details, label the next column “Clarity and accuracy,” and add a column for each of the four corresponding questions.

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Then go through each content piece and question, inputting a 1 for yes and a 0 for no.

To calculate the average rating for clarity and accuracy, input this formula into the cell “=(B5+B6+B7+B8)/4” to determine the average for the first piece of content.

For simpler viewing, create a new worksheet labeled “Qualitative analysis.” Include only the content information accompanied by the category averages in each subsequent column.

Put it all together

With your quantitative and qualitative measurements determined, you now can create your scorecard spreadsheet.

Here’s what it would look like based on the earlier example (minus the specific content URLs).

Qualitative Scores

Article A Article B Article C Article D Article E
Brand voice/style 5 1 2 3 1
Accuracy/currency? 4 2 3 2 2
Discoverability 3 3 3 3 3
Engagement 4 2 4 2 2
Relevance 3 3 5 3 3
Average Qualitative Score 3.8 2.2 3.4 2.6 2.2

Quantitative Scores

Exposure 3 1 3 3 3
Engagement 2 2 2 2 2
Conversion 1 3 3 1 3
Backlinks 4 2 2 4 2
SEO % 2 3 3 2 3
Average Quantitative Score 2.4 2.2 2.6 2.4 2.6
Average Qualitative Score 3.8 2.2 3.4 2.6 2.2
Recommended Action Review and improve Remove and avoid Reconsider distribution plan Reconsider distribution plan Review and improve

On the scorecard, an “average” column has been added. It is calculated by totaling the numbers for each category and dividing it by the total number of categories.

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Now you have a side-by-side comparison of each content URL’s average quantitative and qualitative scores. Here’s how to analyze the numbers and then optimize your content:

  • Qualitative score higher than a quantitative score: Analyze your distribution plan. Consider alternative times, channels, or formats for this otherwise “good” content.
  • Quantitative score higher than a qualitative score: Review the content to identify ways to improve it. Could its quality be improved with a rewrite? What about the addition of data-backed research?
  • Low quantitative and qualitative scores: Remove this content from circulation and adapt your content plan to avoid this type of content in the future.
  • High quantitative and qualitative scores: Promote and reuse this content as much as feasible. Update your content plan to replicate this type of content in the future.

Of course, there are times when the discrepancy between quantitative and qualitative scores may indicate that the qualitative assessment is off. Use your judgment, but at least consider the alternatives.

HANDPICKED RELATED CONTENT: 

Get going

When should you create a content scorecard? While it may seem like a daunting task, don’t let that stop you. Don’t wait until the next big migration. Take bite-size chunks and make it an ongoing process. Start now and optimize every quarter, then the process won’t feel quite so Herculean.

Selecting how much and what content should be evaluated depends largely on the variety of content types and the consistency of content within the same type. You need to select a sufficient number of content pieces to see patterns in topic, content type, traffic, etc.

Though there is no hard and fast science to sample size, in our experience 100 to 200 content assets were sufficient. Your number will depend on:

  • Total inventory size​
  • Consistency within a content type
  • Frequency of audits​

Review in batches so you don’t get overwhelmed. Set evaluation cycles and look at batches quarterly, revising, retiring, or repurposing your content based on the audit results every time. And remember to select content across the performance spectrum. If you only focus on high-performing content, you won’t identify the hidden gems.

HANDPICKED RELATED CONTENT:

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Cover image by Joseph Kalinowski/Content Marketing Institute




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MARKETING

Trends in Content Localization – Moz

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Trends in Content Localization - Moz

Multinational fast food chains are one of the best-known examples of recognizing that product menus may sometimes have to change significantly to serve distinct audiences. The above video is just a short run-through of the same business selling smokehouse burgers, kofta, paneer, and rice bowls in an effort to appeal to people in a variety of places. I can’t personally judge the validity of these representations, but what I can see is that, in such cases, you don’t merely localize your content but the products on which your content is founded.

Sometimes, even the branding of businesses is different around the world; what we call Burger King in America is Hungry Jack’s in Australia, Lays potato chips here are Sabritas in Mexico, and DiGiorno frozen pizza is familiar in the US, but Canada knows it as Delissio.

Tales of product tailoring failures often become famous, likely because some of them may seem humorous from a distance, but cultural sensitivity should always be taken seriously. If a brand you are marketing is on its way to becoming a large global seller, the best insurance against reputation damage and revenue loss as a result of cultural insensitivity is to employ regional and cultural experts whose first-hand and lived experiences can steward the organization in acting with awareness and respect.

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How AI Is Redefining Startup GTM Strategy

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How AI Is Redefining Startup GTM Strategy

AI and startups? It just makes sense.

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More promotions and more layoffs

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More promotions and more layoffs

For martech professionals salaries are good and promotions are coming faster, unfortunately, layoffs are coming faster, too. That’s according to the just-released 2024 Martech Salary and Career Survey. Another very unfortunate finding: The median salary of women below the C-suite level is 35% less than what men earn.

The last year saw many different economic trends, some at odds with each other. Although unemployment remained very low overall and the economy grew, some businesses — especially those in technology and media — cut both jobs and spending. Reasons cited for the cuts include during the early years of the pandemic, higher interest rates and corporate greed.

Dig deeper: How to overcome marketing budget cuts and hiring freezes

Be that as it may, for the employed it remains a good time to be a martech professional. Salaries remain lucrative compared to many other professions, with an overall median salary of $128,643. 

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Here are the median salaries by role:

  • Senior management $199,653
  • Director $157,776
  • Manager $99,510
  • Staff $89,126

Senior managers make more than twice what staff make. Directors and up had a $163,395 median salary compared to manager/staff roles, where the median was $94,818.

One-third of those surveyed said they were promoted in the last 12 months, a finding that was nearly equal among director+ (32%) and managers and staff (30%). 

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Extend the time frame to two years, and nearly three-quarters of director+ respondents say they received a promotion, while the same can be said for two-thirds of manager and staff respondents.

Dig deeper: Skills-based hiring for modern marketing teams

Employee turnover 

In 2023, we asked survey respondents if they noticed an increase in employee churn and whether they would classify that churn as a “moderate” or “significant” increase. For 2024, given the attention on cost reductions and layoffs, we asked if the churn they witnessed was “voluntary” (e.g., people leaving for another role) or “involuntary” (e.g., a layoff or dismissal). More than half of the marketing technology professionals said churn increased in the last year. Nearly one-third classified most of the churn as “involuntary.”

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Men and Women

Screenshot 2024 03 21 124540Screenshot 2024 03 21 124540

This year, instead of using average salary figures, we used the median figures to lessen the impact of outliers in the salary data. As a result, the gap between salaries for men and women is even more glaring than it was previously.

In last year’s report, men earned an average of 24% more than women. This year the median salary of men is 35% more than the median salary of women. That is until you get to the upper echelons. Women at director and up earned 5% more than men.

Methodology

The 2024 MarTech Salary and Career Survey is a joint project of MarTech.org and chiefmartec.com. We surveyed 305 marketers between December 2023 and February 2024; 297 of those provided salary information. Nearly 63% (191) of respondents live in North America; 16% (50) live in Western Europe. The conclusions in this report are limited to responses from those individuals only. Other regions were excluded due to the limited number of respondents. 

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Download your copy of the 2024 MarTech Salary and Career Survey here. No registration is required.

Get MarTech! Daily. Free. In your inbox.

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