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14 Best Types of Charts and Graphs for Data Visualization [+ Guide]

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14 Best Types of Charts and Graphs for Data Visualization [+ Guide]

There are more types of charts and graphs than ever before because there’s more data. In fact, the volume of data in 2025 will be almost double the data we create, capture, copy, and consume today.

This makes data visualization essential for businesses. Different types of graphs and charts can help you:

  • Motivate your team to take action
  • Impress stakeholders with goal progress
  • Show your audience what you value as a business

Data visualization builds trust and can organize diverse teams around new initiatives. Let’s talk about the types of graphs and charts that you can use to grow your business.

Channels like social media or blogs have multiple sources of data and when you manage these complex content assets it can get overwhelming. What should you be tracking? What matters most? How do you visualize and analyze the data so you can extract insights and actionable information?

1. Identify your goals for presenting the data.

Do you want to convince or clarify a point? Are you trying to visualize data that helped you solve a problem, or are you trying to communicate a change that’s happening?

A chart or graph can help you compare different values, understand how different parts impact the whole, or analyze trends. Charts and graphs can also be useful for recognizing data that veers away from what you’re used to or help you see relationships between groups.

Clarify your goals, then use them to guide your chart selection.

2. Figure out what data you need to achieve your goal.

Different types of charts and graphs use different kinds of data. Graphs usually represent numerical data, while charts are a visual representation of data that may or may not use numbers.

So, while all graphs are a type of chart, not all charts are graphs. If you don’t already have the kind of data you need, you might need to spend some time putting your data together before building your chart.

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3. Gather your data.

Most businesses collect numerical data regularly, but you may need to put in some extra time to collect the right data for your chart. Besides quantitative data tools that measure traffic, revenue, and other user data, you might need some qualitative data.

These are some other ways you can gather data for your data visualization:

  • Interviews
  • Quizzes and surveys
  • Customer reviews
  • Reviewing customer documents and records
  • Community boards

4. Select the right type of graph or chart.

Choosing the wrong visual aid or defaulting to the most common type of data visualization could cause confusion for your viewer or lead to mistaken data interpretation.

But a chart is only useful to you and your business if it communicates your point clearly and effectively.

To help find the right chart or graph type, ask yourself the questions below.

Then, take a look at 14 types of charts and graphs you can use to visualize your data and create your chart or graph.

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Download the Excel templates mentioned in the video here.

5 Questions to Ask When Deciding Which Type of Chart to Use

1. Do you want to compare values?

Charts and graphs are perfect for comparing one or many value sets, and they can easily show the low and high values in the data sets. To create a comparison chart, use these types of graphs:

2. Do you want to show the composition of something?

Use this type of chart to show how individual parts make up the whole of something, like the device type used for mobile visitors to your website or total sales broken down by sales rep.

To show composition, use these charts:

3. Do you want to understand the distribution of your data?

Distribution charts help you to understand outliers, the normal tendency, and the range of information in your values.

Use these charts to show distribution:

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4. Are you interested in analyzing trends in your data set?

If you want to know more information about how a data set performed during a specific time period, there are specific chart types that do extremely well.

You should choose a:

5. Do you want to better understand the relationship between value sets?

Relationship charts can show how one variable relates to one or many different variables. You could use this to show how something positively affects, has no effect, or negatively affects another variable.

When trying to establish the relationship between things, use these charts:

Featured Resource: The Marketer’s Guide to Data Visualization

Screen Shot 2020-04-09 at 3.09.44 PMDownload this free data visualization guide to learn which graphs to use in your marketing, presentations, or project — and how to use them effectively.

Different Types of Graphs and Charts for Presenting Data

To better understand each chart and graph type and how you can use them, here’s an overview of graph and chart types.

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1. Bar Graph

A bar graph should be used to avoid clutter when one data label is long or if you have more than 10 items to compare.

Types of charts and graphs example: Bar chart - customers by role

Best Use Cases for These Types of Graphs:

Bar graphs can help you compare data between different groups or to track changes over time. Bar graphs are most useful when there are big changes or to show how one group compares against other groups.

The example above compares the number of customers by business role. It makes it easy to see that there is more than twice the number of customers per role for individual contributors than any other group.

A bar graph also makes it easy to see which group of data is highest or most common.

For example, at the start of the pandemic, online businesses saw a big jump in traffic. So, if you want to look at monthly traffic for an online business, a bar graph would make it easy to see that jump.

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Other use cases for bar graphs include:

  • Product comparisons
  • Product usage
  • Category comparisons
  • Marketing traffic by month or year
  • Marketing conversions

Design Best Practices for Bar Graphs:

  • Use consistent colors throughout the chart, selecting accent colors to highlight meaningful data points or changes over time.
  • Use horizontal labels to improve readability.
  • Start the y-axis at 0 to appropriately reflect the values in your graph.

2. Column Chart

Use a column chart to show a comparison among different items, or to show a comparison of items over time. You could use this format to see the revenue per landing page or customers by close date.

Types of charts and graphs example: Column chart - customers by close date

Best Use Cases for This Type of Chart:

While column charts show information vertically, and bar graphs show data horizontally. While you can use both to display changes in data, column charts are best for negative data.

For example, warehouses often track the number of accidents that happen on the shop floor. When the number of incidents falls below the monthly average, a column chart can make that change easier to see in a presentation.

In the example above, this column chart measures the number of customers by close date. Column charts make it easy to see data changes over a period of time. This means that they have many use cases, including:

  • Customer survey data, like showing how many customers prefer a specific product or how much a customer uses a product each day.
  • Sales volume, like showing which services are the top sellers each month or the number of sales per week.
  • Profit and loss, showing where business investments are growing or falling.

Design Best Practices for Column Charts:

  • Use consistent colors throughout the chart, selecting accent colors to highlight meaningful data points or changes over time.
  • Use horizontal labels to improve readability.
  • Start the y-axis at 0 to appropriately reflect the values in your graph.

3. Line Graph

A line graph reveals trends or progress over time and you can use it to show many different categories of data. You should use it when you chart a continuous data set.

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Types of graphs example: Line chart - avg days to close

Best Use Cases for These Types of Graphs:

Line graphs help users track changes over short and long periods of time. Because of this, these types of graphs are good for seeing small changes.

Line graphs can help you compare changes for more than one group over the same period. They’re also helpful for measuring how different groups relate to each other.

A business might use this type of graph to compare sales rates for different products or services over time.

These charts are also helpful for measuring service channel performance. For example, a line graph that tracks how many chats or emails your team responds to per month.

Design Best Practices for Line Graphs:

  • Use solid lines only.
  • Don’t plot more than four lines to avoid visual distractions.
  • Use the right height so the lines take up roughly 2/3 of the y-axis’ height.

4. Dual Axis Chart

A dual-axis chart allows you to plot data using two y-axes and a shared x-axis. It has three data sets. One is a continuous set of data and the other is better suited to grouping by category. Use this chart to visualize a correlation or the lack thereof between these three data sets.

Types of charts and graphs example: Dual axis chart - revenue by new customers

Best Use Cases for This Type of Chart:

A dual-axis chart makes it easy to see relationships between different data sets. They can also help with comparing trends.

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For example, the chart above shows how many new customers this company brings in each month. It also shows how much revenue those customers are bringing the company.

This makes it simple to see the connection between the number of customers and increased revenue.

You can use dual-axis charts to compare:

  • Price and volume of your products
  • Revenue and units sold
  • Sales and profit margin
  • Individual sales performance

Design Best Practices for Dual Axis Charts:

  • Use the y-axis on the left side for the primary variable because brains are naturally inclined to look left first.
  • Use different graphing styles to illustrate the two data sets, as illustrated above.
  • Choose contrasting colors for the two data sets.

5. Area Chart

An area chart is basically a line chart, but the space between the x-axis and the line is filled with a color or pattern. It is useful for showing part-to-whole relations, like showing individual sales reps’ contributions to total sales for a year. It helps you analyze both overall and individual trend information.

Types of charts and graphs example: Area chart - users by lifecycle stage

Best Use Cases for These Types of Charts:

Area charts help show changes over time. They work best for big differences between data sets and also help visualize big trends.

For example, the chart above shows users by creation date and life cycle stage.

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A line chart could show that there are more subscribers than marketing qualified leads. But this area chart emphasizes how much bigger the number of subscribers is than any other group.

These types of charts and graphs make the size of a group and how groups relate to each other more visually important than data changes over time.

Area graphs can help your business to:

  • Visualize which product categories or products within a category are most popular
  • Show key performance indicator (KPI) goals vs. outcomes
  • Spot and analyze industry trends

Design Best Practices for Area Charts:

  • Use transparent colors so information isn’t obscured in the background.
  • Don’t display more than four categories to avoid clutter.
  • Organize highly variable data at the top of the chart to make it easy to read.

6. Stacked Bar Chart

Use this chart to compare many different items and show the composition of each item you’re comparing.

Types of charts and graphs example: Stacked bar chart - mqls to sqls

Best Use Cases for These Types of Graphs:

These graphs are helpful when a group starts in one column and moves to another over time.

For example, the difference between a marketing qualified lead (MQL) and a sales qualified lead (SQL) is sometimes hard to see. The chart above helps stakeholders see these two lead types from a single point of view– when a lead changes from MQL to SQL.

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Stacked bar charts are excellent for marketing. They make it simple to add a lot of data on a single chart or to make a point with limited space.

These types of graphs can show multiple takeaways, so they’re also super for quarterly meetings when you have a lot to say, but not always a lot of time to say it.

Stacked bar charts are also a smart option for planning or strategy meetings. This is because these charts can show a lot of information at once, but they also make it easy to focus on one stack at a time or move data as needed.

You can also use these charts to:

  • Show the frequency of survey responses
  • Identify outliers in historical data
  • Compare a part of a strategy to its performance as a whole

Design Best Practices for Stacked Bar Graphs:

  • Best used to illustrate part-to-whole relationships.
  • Use contrasting colors for greater clarity.
  • Make the chart scale large enough to view group sizes in relation to one another.

7. Mekko Chart

Also known as a Marimekko chart, this type of graph can compare values, measure each one’s composition, and show data distribution across each one.

It’s similar to a stacked bar, except the Mekko’s x-axis can capture another dimension of your values— instead of time progression, like column charts often do. In the graphic below, the x-axis compares each city to one another.

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Types of charts and graphs example: Mekko chart - world's largest asset managers

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Best Use Cases for This Type of Chart:

You can use a Mekko chart to show growth, market share, or competitor analysis.

For example, the Mekko chart above shows the market share of asset managers grouped by location and the value of their assets. This chart makes it clear which firms manage the most assets in different areas.

It’s also easy to see which asset managers are largest and how they relate to each other.

Mekko charts can seem more complex than other types of charts and graphs. So, it’s best to use these in situations where you want to emphasize scale or differences between groups of data.

Other use cases for Mekko charts include:

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  • Detailed profit and loss statements
  • Revenue by brand and region
  • Product profitability
  • Share of voice by industry or niche

Design Best Practices for Mekko Charts:

  • Vary your bar heights if the portion size is an important point of comparison.
  • Don’t include too many composite values within each bar. You might want to reevaluate your presentation if you have a lot of data.
  • Order your bars from left to right in such a way that exposes a relevant trend or message.

8. Pie Chart

A pie chart shows a static number and how categories represent part of a whole — the composition of something. A pie chart represents numbers in percentages, and the total sum of all segments needs to equal 100%.

Types of charts and graphs example: Pie chart - customers by role

Best Use Cases for This Type of Chart:

The image above shows another example of customers by role in the company.

The bar graph example shows you that there are more individual contributors than any other role. But this pie chart makes it clear that they make up over 50% of customer roles.

Pie charts make it easy to see a section in relation to the whole, so they are good for showing:

  • Customer personas in relation to all customers
  • Revenue from your most popular products or product types in relation to all product sales
  • Percent of total profit from different store locations

Design Best Practices for Pie Charts:

  • Don’t illustrate too many categories to ensure differentiation between slices.
  • Ensure that the slice values add up to 100%.
  • Order slices according to their size.

9. Scatter Plot Chart

A scatter plot or scattergram chart will show the relationship between two different variables or reveals distribution trends. Use this chart when there are many different data points, and you want to highlight similarities in the data set. This is useful when looking for outliers or for understanding the distribution of your data.

Types of charts and graphs example: Scatter plot chart - customer happiness by response time

Best Use Cases for These Types of Charts:

Scatter plots are helpful in situations where you have too much data to quickly see a pattern. They are best when you use them to show relationships between two large data sets.

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In the example above, this chart shows how customer happiness relates to the time it takes for them to get a response.

Great use cases for this type of graph make it easy to see the comparison of two data sets. This might include:

Try to choose two data sets that already have a positive or negative relationship. That said, this type of graph can also make it easier to see data that falls outside of normal patterns.

Design Best Practices for Scatter Plots:

  • Include more variables, like different sizes, to incorporate more data.
  • Start the y-axis at 0 to represent data accurately.
  • If you use trend lines, only use a maximum of two to make your plot easy to understand.

10. Bubble Chart

A bubble chart is similar to a scatter plot in that it can show distribution or relationship. There is a third data set shown by the size of the bubble or circle.

Types of charts and graphs example: Bubble chart - hours spent online by age and gender

Best Use Cases for This Type of Chart:

In the example above, the number of hours spent online isn’t just compared to the age of the user, as it would be on a scatter plot chart.

Instead, you can also see how the gender of the user impacts time spent online.

This makes bubble charts useful for seeing the rise or fall of trends over time. It also lets you add another option when you’re trying to understand relationships between different segments or categories.

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For example, if you want to launch a new product, this chart could help you quickly see the cost, risk, and value of your new product. This can help you focus your energies on a new product that is low risk with a high potential return.

You can also use bubble charts for:

  • Top sales by month and location
  • Customer satisfaction surveys
  • Store performance tracking
  • Marketing campaign reviews

Design Best Practices for Bubble Charts:

  • Scale bubbles according to area, not diameter.
  • Make sure labels are clear and visible.
  • Use circular shapes only.

11. Waterfall Chart

Use a waterfall chart to show how an initial value changes with intermediate values — either positive or negative — and results in a final value.

Use this chart to reveal the composition of a number. An example of this would be to showcase how overall company revenue is influenced by different departments and leads to a specific profit number.

Types of charts and graphs example: Waterfall chart

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Best Use Cases for This Type of Chart:

These types of charts and graphs make it easier to understand how internal and external factors impact a product or campaign as a whole.

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In the example above the chart moves from the starting balance on the far left to the ending balance on the far right. Factors in the center include deposits, transfers in and out, and bank fees.

A waterfall chart offers a quick visual that makes complex processes and outcomes easier to see and troubleshoot. For example, SaaS companies often measure customer churn. This format can help visualize changes in new, current, and free trial users, or changes by user segment.

You may also want to try a waterfall chart to show:

  • Changes in revenue or profit over time
  • Inventory audits
  • Employee staffing reviews

Design Best Practices for Waterfall Charts:

  • Use contrasting colors to highlight differences in data sets.
  • Choose warm colors to indicate increases and cool colors to indicate decreases.

12. Funnel Chart

A funnel chart shows a series of steps and the completion rate for each step. Use this type of chart to track the sales process or the conversion rate across a series of pages or steps.

Types of charts and graphs example: Funnel chart - marketing funnel process

Best Use Cases for These Types of Charts:

The most common use case for a funnel chart is the marketing or sales funnel. But there are many other ways to use this versatile chart.

If you have at least four stages of sequential data, this chart can help you easily see what inputs or outputs impact the final results.

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For example, a funnel chart can help you see how to improve your buyer journey or shopping cart workflow. This is because it can help pinpoint major drop-off points.

Other stellar options for these types of charts include:

  • Deal pipelines
  • Conversion and retention analysis
  • Bottlenecks in manufacturing and other multi-step processes
  • Marketing campaign performance
  • Website conversion tracking

Design Best Practices for Funnel Charts:

  • Scale the size of each section to accurately reflect the size of the data set.
  • Use contrasting colors or one color in gradated hues, from darkest to lightest as the size of the funnel decreases.

13. Bullet Graph

A bullet graph reveals progress toward a goal, compares this to another measure, and provides context in the form of a rating or performance.

Types of charts and graphs example: Bullet graph - new customers

Best Use Cases for These Types of Graphs:

In the example above, this bullet graph shows the number of new customers against a set customer goal. Bullet graphs are great for comparing performance against goals like this.

These types of graphs can also help teams assess possible roadblocks because you can analyze data in a tight visual display.

For example, you could create a series of bullet graphs measuring performance against benchmarks or use a single bullet graph to visualize these KPIs against their goals:

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  • Revenue
  • Profit
  • Customer satisfaction
  • Average order size
  • New customers

Seeing this data at a glance and alongside each other can help teams make quick decisions.

Bullet graphs are one of the best ways to display year-over-year data analysis. You can also use bullet graphs to visualize:

  • Customer satisfaction scores
  • Product usage
  • Customer shopping habits
  • Social media usage by platform

Design Best Practices for Bullet Graphs:

  • Use contrasting colors to highlight how the data is progressing.
  • Use one color in different shades to gauge progress.

14. Heat Map

A heat map shows the relationship between two items and provides rating information, such as high to low or poor to excellent. This chart displays the rating information using varying colors or saturation.

Types of charts and graphs example: Heat map chart - highest degree vs. class identification

Best Use Cases for Heat Maps:

In the example above, the darker the shade of green shows where the majority of people agree.

With enough data, heat maps can make a viewpoint that might seem subjective more concrete. This makes it easier for a business to act on customer sentiment.

There are many uses for these types of charts and graphs. In fact, many tech companies use heat map tools to gauge user experience for apps, online tools, and website design.

Another common use for heat map graphs is location assessment. If you’re trying to find the right location for your new store, these maps can give you an idea of what the area is like in ways that a visit can’t communicate.

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Heat maps can also help with spotting patterns, so they’re good for analyzing trends that change quickly, like ad conversions. They can also help with:

  • Competitor research
  • Customer sentiment
  • Sales outreach
  • Campaign impact
  • Customer demographics

Design Best Practices for Heat Map:

  • Use a basic and clear map outline to avoid distracting from the data.
  • Use a single color in varying shades to show changes in data.
  • Avoid using multiple patterns.

Put These New Types of Charts and Graphs Into Action

Now that you’ve chosen the best graph or chart for your project, try a data visualization resource that makes your point clear and visual.

Data visualization is just one part of great communication. To show your customers, employees, leadership, and investors that they’re important, keep making time to learn.

Editor’s note: This post was originally published in November 2020 and has been updated for comprehensiveness.

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Navigating the Video Marketing Maze: Short-Form vs. Long-Form

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Navigating the Video Marketing Maze: Short-Form vs. Long-Form

Navigating the Video Marketing Maze Short Form vs Long Form

Are you torn between using long-form or short-form videos for your small business marketing campaign? Well, you are not alone. Despite 89% of consumers wanting to see more brand videos, there is no one-size-fits-all answer about the ideal video length.

However, this should not deter you from creating an effective video strategy. In 2023, people watched an average of 17 videos per day, highlighting the influence of video content in today’s digital landscape.

1714251363 576 Navigating the Video Marketing Maze Short Form vs Long Form1714251363 576 Navigating the Video Marketing Maze Short Form vs Long Form

Both short-form and long-form videos offer unique advantages and come with their set of challenges. Join me as I uncover the benefits and limitations of each video format to help you make informed marketing decisions.

What are Short-Form Videos?

Short videos typically range from 30 seconds to less than 10 minutes long. They are popular on social media platforms like TikTok, Instagram, Snapchat, and YouTube.

Short-form videos deliver brief yet engaging messages that quickly capture the viewer’s attention. Here are some popular types of short-form video content.

  • TikTok Challenges
  • Instagram Reels
  • Snapchat Stories
  • YouTube Shorts
  • Twitter Video Ads

Benefits of Short-Form Videos

A previously cited report shows that 39% of marketers find short-form videos, ranging from 30-60 seconds long, more successful. The same study reports that 44% of customers prefer watching a short video to learn about a brand’s offerings.

1714251363 817 Navigating the Video Marketing Maze Short Form vs Long Form1714251363 817 Navigating the Video Marketing Maze Short Form vs Long Form

So, it is evident that short-form videos have their benefits. Let’s take a closer look at some of them.

Attention-Grabbing 

Short-form videos capture attention quickly, making them ideal for the fast-scrolling nature of social media platforms. Your audience is more likely to watch them in their entirety compared to longer content.

Cost-Effective Production 

Creating short-form videos requires less time and resources compared to longer videos. As a small business owner with a limited budget, using short-form videos can be cost-effective. 

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Increased Engagement

Short-form videos engage viewers due to their crisp and concise nature. This results in more likes, comments, and shares that boost your content’s visibility and increase brand awareness. 

Integrating short-form videos into your influencer marketing campaigns can further amplify your reach to new and diverse audiences. 

Highly Shareable

Short videos are highly shareable. This makes it more likely for your viewers to share them, increasing their virality. 

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There are multiple benefits of adding video to your website including increased engagement, improved SEO, and enhanced user experience.

Limitations of Short-Form Videos

While short-form videos offer many advantages in content marketing, they also present some challenges.

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Limited Message Depth

Due to their brief duration, short-form videos may struggle to convey complex or detailed messages. Longer videos might be more suitable if you need to communicate intricate information.

Competition for Attention

Standing out on platforms flooded with short-form video content can be challenging. You must create content that stands out to avoid becoming lost in the sea of other videos.

Shorter Lifespan 

Short videos may lose their relevance with time. They can quickly get buried in users’ feeds, leading to a shorter visibility and engagement period than longer, evergreen content. 

This means you must consistently create short-form videos to maintain audience interest over time.

Limited SEO Impact

Short-form videos may be more challenging to optimize for search engines than longer, more keyword-rich content. This can affect the discoverability of your content outside the social media scene.

What are Long-Form Videos?

Long-form videos are typically longer, ranging from a few minutes to several hours. They extend beyond a few minutes to several hours, providing ample time for in-depth topic exploration and detailed content. 

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These videos are particularly suitable for educational content, product demonstrations, and narrative-driven storytelling. Long-form videos are common on platforms like YouTube and Vimeo. Common types of long-form video content include:

  • YouTube Series
  • Webinars
  • Educational Tutorials and Courses:
  • Behind-the-Scenes Content 
  • Interviews and Conversations

Advantages of Long-Form Videos

Long-form video content is the fastest-growing segment, with videos above 30 minutes experiencing tremendous growth over the years. Let’s explore some of the benefits behind this growth.

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Establishes Expertise and Credibility

Long-form videos allow you to provide in-depth information about various subjects, establishing your brand as an authority. Potential customers will likely trust and rely on your insights when you consistently deliver valuable content.

Builds Strong Audience Connections 

The more your audience watches your videos, the more they become familiar with your content and brand. This consistent engagement promotes trust and loyalty, helping you create deeper connections with your audience.

Provide SEO Optimization Opportunities

Long-form videos keep your audience engaged for a longer duration than short ones. This signals search engines that your content provides value, resulting in higher rankings and increased visibility. 

Besides, these videos provide opportunities to optimize for relevant keywords. This Attrock guide offers more insights into the value of SEO for your small business. 

They Are Sustainable

Unlike short videos, well-produced and valuable long-form videos have an extended shelf life. They can continue to attract views and engagement over an extended period, contributing to a sustainable content strategy.

Instagram reels are also a part of short videos and you can get benefits from this platform by integrating it with your website. You can learn how to embed Instagram Reels on websites and get extra benefits from your Reels.

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Drawbacks of Long-Form Videos

Despite their benefits, long-form videos also have certain limitations, including:

Attention Span Challenges

Between distractions, juggling tasks, and information overload, user attention span quickly diminishes. Viewers may lose interest and disengage from your long video before its conclusion.

Navigating the Video Marketing Maze Short Form vs Long FormNavigating the Video Marketing Maze Short Form vs Long Form

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Complex Production Process

Creating high-quality long-form videos requires more resources, including time, equipment, and skilled personnel. This can be disadvantageous, especially for small businesses with limited budgets.

Platform Limitations

Some social media platforms and video hosting sites may limit video length, making it challenging to distribute long-form video content. You may then be forced to repurpose your content to suit various platforms. 

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Short-Form or Long-Form Videos: Which Are Better?

Now that you know the benefits and limitations of each format, which one should you choose? Short-form or long-form videos?

Well, it all boils down to considering several factors, such as: 

Content Objectives

What do you want to achieve from your video marketing campaign? Short-form videos are highly effective for quick brand exposure and generating buzz. Long-form videos, on the other hand, contribute to a more in-depth understanding of the brand.

Target Audience Preferences

Audiences with short attention spans likely prefer short-form videos, while long-form videos appeal to those seeking a more immersive experience.

Similarly, short-form videos may appeal more to younger audiences, while older demographics may prefer the depth of long-form content.

Platform Dynamics

Various platforms support different content formats. Short-form videos are well-suited for platforms like TikTok, Instagram, and Snapchat. On the other hand, platforms like YouTube and Vimeo are better for hosting longer videos.

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Industry Type

Short-form videos would be ideal if your industry thrives on trends, entertainment, and quick messages. However, long-form videos are effective for industries requiring in-depth explanations or educational content.

Bottom Line 

Ultimately, choosing short-form or long-form videos depends on your business’s specific needs and goals. Since both formats have advantages and limitations, making a choice may prove difficult. 

However, it doesn’t have to be an uphill task. The key lies in recognizing when to incorporate each video format into your marketing strategy. Understanding your audience and its needs allows you to combine both formats strategically, maximizing the benefits of each. 

Continuously analyze performance metrics and adapt your video marketing strategy accordingly to ensure optimal engagement and conversion rates.


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The Current State of Google’s Search Generative Experience [What It Means for SEO in 2024]

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By Tinuiti Team

SEO enthusiasts, known for naming algorithm updates after animals and embracing melodrama, find themselves in a landscape where the “adapt or die” mantra prevails. So when Google announced the launch of its Search Generative Experience (SGE) in May of 2023 at Google/IO, you can imagine the reaction was immense.

Although SGE has the potential to be a truly transformative force in the landscape, we’re still waiting for SGE to move out of the Google Labs Sandbox and integrate into standard search results. 

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Curious about our current take on SGE and its potential impact on SEO in the future? Read on for more.

Decoding Google’s Defensive Move

In response to potential threats from competitors like ChatGPT, Bing, TikTok, Reddit, and Amazon, Google introduced SGE as a defensive maneuver. However, its initial beta release raised questions about its readiness and global deployment.

ChatGPT provided an existential threat that had the potential to eat into Google’s market share. When Bing started incorporating it into its search results, it was one of the most significant wins for Bing in a decade. In combination with threats from TikTok, Reddit, and Amazon, we see a more fractured search landscape less dominated by Google. Upon its launch, the expectation was that Google would push its SGE solution globally, impact most queries, and massively shake up organic search results and strategies to improve organic visibility.

Now, industry leaders are starting to question if Google is better off leaving SGE in the testing ground in Google labs. According to Google’s recent update, it appears that SGE will remain an opt-in experience in Google Labs (for at least the short term). If SGE was released, there could be a fundamental reset in understanding SEO. Everything from organic traffic to optimization tactics to tracking tools would need adjustments for the new experience. Therefore, the prospect of SGE staying in Google Labs is comforting if not entirely reliable. 

The ever-present option is that Google can change its mind at any point and push SGE out broadly as part of its standard search experience. For this reason, we see value in learning from our observations with SGE and continuing to stay on top of the experience.

SGE User Experience and Operational Challenges

If you’ve signed up for search labs and have been experimenting with SGE for a while, you know firsthand there are various issues that Google should address before rolling it out broadly to the public.

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At a high level, these issues fall into two broad categories including user experience issues and operational issues.

Below are some significant issues we’ve come across, with Google making notable progress in addressing certain ones, while others still require improvement:

  • Load time – Too many AI-generated answers take longer to load than a user is willing to wait. Google recommends less than a 3-second load time to meet expectations. They’ll need to figure out how to consistently return results quickly if they want to see a higher adoption rate.
  • Layout – The SGE layout is massive. We believe any major rollout will be more streamlined to make it a less intrusive experience for users and allow more visibility for ads, and if we’re lucky, organic results. Unfortunately, there is still a decent chance that organic results will move below the fold, especially on mobile devices. Recently, Google has incorporated more results where users are prompted to generate the AI result if they’d like to see it. The hope is Google makes this the default in the event of a broad rollout where users can generate an AI result if they want one instead of assuming that’s what a user would like to see. 
  • Redundancy – The AI result duplicates features from the map pack and quick answer results. 
  • Attribution – Due to user feedback, Google includes sources on several of their AI-powered overviews where you can see relevant web pages if there is an arrow next to the result. Currently, the best way to appear as one of these relevant pages is to be one of the top-ranked results, which is convenient from an optimization standpoint. Changes to how attribution and sourcing are handled could heavily impact organic strategies. 

On the operational side, Google also faces significant hurdles to making SGE a viable product for its traditional search product. The biggest obstacle appears to be making the cost associated with the technology worth the business outcomes it provides. If this was a necessary investment to maintain market share, Google might be willing to eat the cost, but if their current position is relatively stable, Google doesn’t have much of an incentive to take on the additional cost burden of heavily leveraging generative AI while also presumably taking a hit to their ad revenue. Especially since slow user adoption doesn’t indicate this is something users are demanding at the moment.

While the current experience of SGE is including ads above the generative results now, the earliest iterations didn’t heavily feature sponsored ads. While they are now included, the current SGE layout would still significantly disrupt the ad experience we’re used to. During the Google I/O announcement, they made a statement to reassure advertisers they would be mindful of maintaining a distinct ad experience in search.  

“In this new generative experience, Search ads will continue to appear in dedicated ad slots throughout the page. And we’ll continue to uphold our commitment to ads transparency and making sure ads are distinguishable from organic search results” – Elizabeth Reid, VP, Search at Google

Google is trying to thread a delicate needle here of staying on the cutting edge with their search features, while trying not to upset their advertisers and needlessly hinder their own revenue stream. Roger Montti details more of the operational issues in a recent article digging into the surprising reasons SGE is stuck in Google Labs.

He lists three big problems that need to be solved before SGE will be integrated into the foreground of search:

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  1. Large Language Models being inadequate as an information retrieval system
  2. The inefficiency and cost of transformer architecture
  3. Hallucinating (providing inaccurate answers)

Until SGE provides more user value and checks more boxes on the business sense side, the traditional search experience is here to stay. Unfortunately, we don’t know when or if Google will ever feel confident they’ve addressed all of these concerns, so we’ll need to stay prepared for change.

Experts Chime in on Search Generative Experience

Our team has been actively engaging with SGE, here’s a closer look at their thoughts and opinions on the experience so far:

“With SGE still in its early stages, I’ve noticed consistent changes in how the generative results are produced and weaved naturally into the SERPs. Because of this, I feel it is imperative to stay on top of these on-going changes to ensure we can continue to educate our clients on what to expect when SGE is officially incorporated into our everyday lives. Although an official launch date is currently unknown, I believe proactively testing various prompt types and recording our learnings is important to prepare our clients for this next evolution of Google search.”

– Jon Pagano, SEO Sr. Specialist at Tinuiti

“It’s been exciting to watch SGE grow through different variations over the last year, but like other AI solutions its potential still outweighs its functionality and usefulness. What’s interesting to see is that SGE doesn’t just cite its sources of information, but also provides an enhanced preview of each webpage referenced. This presents a unique organic opportunity where previously untouchable top 10 rankings are far more accessible to the average website. Time will tell what the top ranking factors for SGE are, but verifiable content with strong E-E-A-T signals will be imperative.”

–Kate Fischer, SEO Specialist at Tinuiti

“Traditionally, AI tools were very good at analytical tasks. With the rise of ChatGPT, users can have long-form, multi-question conversations not yet available in search results. When, not if, released, Google’s Generative Experience will transform how we view AI and search. Because there are so many unknowns, some of the most impactful ways we prepare our clients are to discover and develop SEO strategies that AI tools can’t directly disrupt, like mid to low funnel content.”

– Brandon Miller, SEO Specialist at Tinuiti

“SGE is going to make a huge impact on the ecommerce industry by changing the way users interact with the search results. Improved shopping experience will allow users to compare products, price match, and read reviews in order to make it quicker and easier for a user to find the best deals and purchase. Although this leads to more competitive results, it also improves organic visibility and expands our product reach. It is more important than ever to ensure all elements of a page are uniquely and specifically optimized for search. With the SGE updates expected to continue to impact search results, the best way to stay ahead is by focusing on strong user focused content and detailed product page optimizations.” 

– Kellie Daley, SEO Sr. Specialist at Tinuiti

Navigating the Clash of Trends

One of the most interesting aspects of the generative AI trend in search is that it appears to be in direct opposition to other recent trends.

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One of the ways Google has historically evaluated the efficacy of its search ranking systems is through the manual review of quality raters. In their quality rater guidelines, raters were instructed to review for things like expertise, authority, and trustworthiness (EAT) in results to determine if Google results are providing users the information they deserve. 

In 2022, Google updated their search guidelines to include another ‘e’ in the form of experience (EEAT). In their words, Google wanted to better assess if the content a user was consuming was created by someone with, “a degree of experience, such as with actual use of a product, having actually visited a place or communicating what a person has experienced. There are some situations where really what you value most is content produced by someone who has firsthand, life experience on the topic at hand.” 

Generative AI results, while cutting-edge technology and wildly impressive in some cases, stand in direct opposition to the principles of E-E-A-T. That’s not to say that there’s no room for both in search, but Google will have to determine what it thinks users value more between these competing trends. The slow adoption of SGE could be an indication that a preference for human experience, expertise, authority, and trust is winning round one in this fight. 

Along these lines, Google is also diversifying its search results to cater to the format in which users get their information. This takes the form of their Perspectives Filter. Also announced at Google I/O 2023, the perspectives filter incorporates more video, image, and discussion board posts from places like TikTok, YouTube, Reddit, and Quora. Once again, this trend shows the emphasis and value searchers place on experience and perspective. Users value individual experience over the impersonal conveyance of information. AI will never have these two things, even if it can provide a convincing imitation.

The current iteration of SGE seems to go too far in dismissing these trends in favor of generative AI. It’s an interesting challenge Google faces. If they don’t determine the prevailing trend correctly, veering too far in one direction can push more market share to ChatGPT or platforms like YouTube and TikTok.

Final Thoughts

The range of outcomes remains broad and fascinating for SGE. We can see this developing in different ways, and prognostication offers little value, but it’s invaluable to know the potential outcomes and prepare for as many of them as possible.

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It’s critical that you or your search agency be interacting and experimenting with SGE because:

  • The format and results will most likely continue to see significant changes
  • This space moves quickly and it’s easy to fall behind
  • Google may fix all of the issues with SGE and decide to push it live, changing the landscape of search overnight
  • SGE experiments could inform other AI elements incorporated into the search experience

Ultimately, optimizing for the specific SGE experience we see now is less important because we know it will inevitably continue changing. We see more value in recognizing the trends and problems Google is trying to solve with this technology. With how quickly this space moves, any specifics mentioned in this article could be outdated in a week. That’s why focusing on intention and process is important at this stage of the game.

By understanding the future needs and wants SGE is attempting to address, we can help you future-proof your search strategies as much as possible. To some extent we’re always at the whims of the algorithm, but by maintaining a user-centric approach, you can make your customers happy, regardless of how they find you.

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How to create editorial guidelines that are useful + template

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How to create editorial guidelines that are useful + template

Before diving in to all things editorial guidelines, a quick introduction. I head up the content team here at Optimizely. I’m responsible for developing our content strategy and ensuring this aligns to our key business goals.

Here I’ll take you through the process we used to create new editorial guidelines; things that worked well and tackle some of the challenges that come with any good multi – stakeholder project, share some examples and leave you with a template you can use to set your own content standards.

What are editorial guidelines?

Editorial guidelines are a set of standards for any/all content contributors, etc. etc. This most often includes guidance on brand, tone of voice, grammar and style, your core content principles and the types of content you want to produce.

Editorial guidelines are a core component of any good content strategy and can help marketers achieve the following in their content creation process:

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  • Consistency: All content produced, regardless of who is creating it, maintains a consistent tone of voice and style, helping strengthen brand image and making it easier for your audience to recognize your company’s content  
  • Quality Control: Serves as a ‘North Star’ for content quality, drawing a line in the sand to communicate the standard of content we want to produce 
  • Boosts SEO efforts: Ensures content creation aligns with SEO efforts, improving company visibility and increasing traffic 
  • Efficiency: With clear guidelines in place, content creators – external and internal – can work more efficiently as they have a clear understanding of what is expected of them 

Examples of editorial guidelines

There are some great examples of editorial guidelines out there to help you get started.

Here are a few I used: 

1. Editorial Values and Standards, the BBC

 

Ah, the Beeb. This really helped me channel my inner journalist and learn from the folks that built the foundation for free quality journalism. 

How to create editorial guidelines, Pepperland Marketing

pepperlandmarketingblogpostoneditorialguidelines

After taking a more big picture view I recognized needed more focused guidance on the step by step of creating editorial guidelines.

I really liked the content the good folks at Pepperland Marketing have created, including a free template – thanks guys! – and in part what inspired me to create our own free template as a way of sharing learnings and helping others quickstart the process of creating their own guidelines.

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3. Writing guidelines for the role of AI in your newsroom?… Nieman Lab

NiemanLabsguidanceonroleofaiinyournewsroom

As well as provide guidance on content quality and the content creation process, I wanted to tackle the thorny topic of AI in our editorial guidelines. Specifically, to give content creators a steer on ‘fair’ use of AI when creating content, to ensure creators get to benefit from the amazing power of these tools, but also that content is not created 100% by AI and help them understand why we feel that contravenes our core content principles of content quality. 

So, to learn more I devoured this fascinating article, sourcing guidance from major media outlets around the world. I know things change very quickly when it comes to AI, but I highly encourage reading this and taking inspiration from how these media outlets are tackling this topic. 

Learn more: The Marketer’s Guide to AI-generated content

Why did we decide to create editorial guidelines?

1. Aligning content creators to a clear vision and process

Optimizely as a business has undergone a huge transformation over the last 3 years, going through rapid acquisition and all the joys and frustrations that can bring. As a content team, we quickly recognized the need to create a set of clear and engaging guidelines that helps content creators understand how and where they can contribute, and gave a clear process to follow when submitting a content idea for consideration. 

2. Reinvigorated approach to brand and content 

As a brand Optimizely is also going through a brand evolution – moving from a more formal, considered tone of voice to one that’s much more approachable, down to earth and not afraid to use humor, different in content and execution. 

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See, our latest CMS campaign creative:

Mock ups of Optimizely CMS campaign creative

It’s pretty out there in terms of creative and messaging. It’s an ad campaign that’s designed to capture attention yes, but also – to demonstrate our abilities as a marketing team to create this type of campaign that is normally reserved for other more quote unquote creative industries. 

We wanted to give guidance to fellow content creators outside the team on how they can also create content that embraces this evolved tone of voice, while at the same time ensuring content adheres to our brand guidelines.

3. Streamline content creation process

Like many global enterprises we have many different content creators, working across different time zones and locations. Documenting a set of guidelines and making them easily available helps content creators quickly understand our content goals, the types of content we want to create and why. It would free up content team time spent with individual contributors reviewing and editing submissions, and would ensure creation and optimization aligns to broader content & business goals.

It was also clear that we needed to document a process for submitting content ideas, so we made sure to include this in the guidelines themselves to make it easy and accessible for all contributors. 

4. 2023 retrospective priority 

As a content team we regularly review our content strategy and processes to ensure we’re operating as efficiently as possible.

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In our last retrospective. I asked my team ‘what was the one thing I could do as a manager to help them be more impactful in their role?’

Editorial guidelines was the number 1 item on their list. 

So off we went… 

What we did

  • Defined a discrete scope of work for the first version of the editorial guidelines, focusing on the Blog and Resources section of the website. This is where the content team spends most of its time and so has most involvement in the content creation process. Also where the most challenging bottlenecks have been in the past
  • Research. Reviewed what was out there, got my hands on a few free templates and assembled a framework to create a first version for inputs and feedback 
  • Asked content community – I put a few questions out to my network on LinkedIn on the topic of content guidelines and content strategy, seeking to get input and guidance from smart marketers.  

linkedinpostoneditorialguidelines

Combining two of my great passions in life – content strategy and Arrested Development – in one LinkedIn post (Feb 2024)

  • Invited feedback: Over the course of a few weekswe invited collaborators to comment in a shared doc as a way of taking iterative feedback, getting ideas for the next scope of work, and also – bringing people on the journey of creating the guidelines. Look at all those reviewers! Doing this within our Content Marketing Platform (CMP) ensured that all that feedback was captured in one place, and that we could manage the process clearly, step by step:

Optimizelycmpscreenshotofeditorialguidelines

Look at all those collaborators! Thanks guys! And all of those beautiful ticks, so satisfying. So glad I could crop out the total outstanding tasks for this screen grab too (Source – Optimizely CMP) 

  • Updated content workflow: Now we have clear, documented guidance in place, we’ve included this as a step – the first step – in the workflow used for blog post creation: 

Optimizely CMP screenshot of editorial guideline review

Source: Optimizely CMP

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Results

It’s early days but we’re already seeing more engagement with the content creation process, especially amongst the teams involved in building the guidelines (which was part of the rationale in the first place :))

Screenshot of teams message editorial guidelines

Source: My Teams chat 

It’s inspired teams to think differently about the types of content we want to produce going forwards – for the blog and beyond.

I’d also say it’s boosted team morale and collaboration, helping different teams work together on shared goals to produce better quality work.

What’s next?

We’re busy planning wider communication of the editorial guidelines beyond marketing. We’ve kept the original draft and regularly share this with existing and potential collaborators for ongoing commentary, ideas and feedback.

Creating guidelines has also sparked discussion about the types of briefs and templates we want and need to create in CMP to support creating different assets. Finding the right balance between creative approach and using templates to scale content production is key. 

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We’ll review these guidelines on a quarterly basis and evolve as needed, adding new formats and channels as we go.

Key takeaways

  • Editorial guidelines are a useful way to guide content creators as part of your overall content strategy
  • Taking the time to do research upfront can help accelerate seemingly complex projects. Don’t be afraid to ask your community for inputs and advice as you create
  • Keep the scope small at first rather than trying to align everything all at once. Test and learn as you go
  • Work with stakeholders to build guidelines from the ground up to ensure you create a framework that is useful, relevant and used

And lastly, here’s that free template we created to help you build or evolve your own editorial guidelines!

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