Connect with us


New Report Looks at Social Platform Performance Benchmarks by Industry



When analyzing your social media performance metrics, you need a level of context to make sense of the numbers and ascertain where you can improve and what’s already working. Comparing the data against your own past stats is the best way to do this, and ensure that you’re aligning with your broader business goals, but it can also be helpful to benchmark your performance against others in your industry, providing further insight into where you’re at, and what you should expect.

That’s where this report comes in. This week, RivalIQ has released the latest version of its annual Social Media Industry Benchmark Report, for which they’ve gathered data on the social platform performance of more than 2,000 brands, incorporating some 5 million posts, tweets and updates.

The full report includes a heap of industry-specific insights, including popular hashtags and specific posting data, but in this post, we’re going to take a look at the overall trends for Facebook, Instagram ad Twitter to get an idea of where “good performance” on each currently stands.

First off on Facebook – according to RivalIQ’s data, the average Facebook Page engagement rate remained flat from its 2019 report at 0.09%

That’s not exactly inspiring – brand engagement rates on Facebook have remained fairly low, overall, for some time, though RivalIQ does note that the “Higher Education”, “Influencers”, and “Sports Teams” categories did see relative increases over the last year.

Of course, most Facebook Page managers would be aware of this, and there are other benefits to Facebook activity beyond organic engagement. But it’s worth noting the comparative benchmarks when analyzing your own Facebook Page performance.

See also  Instagram in an Instant [Infographic]

In terms of posing frequency, RivalIQ found that the average Facebook posts per day across all sectors decreased by about 14% in 2019.

It’s difficult to say what would have lead to that decrease – brands seeing less response? Not wanting to flood News Feeds? It’s worth noting that, in the past, Facebook has advised that brands should:

“Post frequently – Don’t worry about over-posting. The goal of News Feed is to show each person the most relevant story so not all of your posts are guaranteed to show in their Feeds.”

So if over-posting is a concern, that’s likely outweighed by the algorithm anyway. But maybe brands are simply making other platforms a bigger focus, and that’s lead to a slightly lower average posting frequency on The Social Network.

Which leads us onto Instagram. The trending platform of the moment, Instagram, and Instagram Stories in particular, seems to be where brands are increasingly turning.

So, what’s the average engagement rate for brands on Insta?

Overall, the engagement rate for brands on Instagram has dropped – as per RivalIQ:

“Every industry in our study took a hit on Instagram this year, and the all-industry median decreased by 23% from 1.60% to 1.22%.”

That’s likely due to that increased focus – with more brands now competing for attention on the platform, everyone takes a bit of a hit. Still, 1.22% is a lot higher than Facebook, pointing to the ongoing opportunity of Instagram for engagement.

In terms of posting frequency, RivalIQ notes that the median posting frequency across all industries declined by 5% in 2019.

See also  Giving Back to Get: 5 Ideas to Build Links by Helping Others

Not a huge reduction, but brands are not ramping up their Instagram activity in response to increased usage. This also doesn’t incorporate Stories data, where, as noted, more businesses are now looking.

On Twitter, the data suggests that average tweet engagement has also dipped just slightly, down from 0.48% in its last report.

As per RivalIQ:

“Twitter engagement remained consistent for the third year in a row, with Higher Ed and Alcohol staying ahead and Media pulling up the rear because of their high-frequency posting.”

It’s interesting to note the relative variance by sector, and to get some idea of what average tweet performance actually looks like. Maybe your business is doing better than you thought – and maybe, Twitter is a relatively good performer for you, based on the data.

Of course, as with all platforms, there are additional benefits to maintaining a consistent Twitter presence, but having some perspective on this element can be helpful in understanding your results.

In terms of tweets per day, tweeting frequency declined by about 10% this year.

This isn’t a major surprise – with Twitter’s algorithm now highlighting tweets of interest to each individual user, that’s lessened the impetus to tweet so often, to a degree, while in some ways it also acts as a disincentive to such, as your tweets from the previous day can get clustered together in the listing, and potentially overwhelm followers.

Twitter’s also not driving as much referral traffic as it once was, which is also somewhat reflected in the engagement stats. That’s seen some brands re-asses the amount of time they’re spending on the platform. Overall, tweet engagement is up year over year, according to the platform’s official stats, but the re-focus on conversations has seemingly impacted brand tweet engagement, at least to some degree,

See also  LinkedIn Explains Data Scraping Amid Reports of More Data Hacks and Breaches

There’s a heap more insight in RivalIQ’s full report, including industry-specific data and insights to help improve your strategy.

You can check out the full 2020 Social Benchmarks report here.

Read More

Continue Reading


12 Tools and Resources for Software Developers in Insurance



12 Tools and Resources for Software Developers in Insurance

If a developer designs a system for Big Data analysis or creates programs for processing and analyzing application data for mobile gadgets, in any case he cannot do without analytics tools and services. Big Data is understood as the basis of the business of insurance companies that depend on information, that is, probabilities, statistical data, customer information, and so on.

Today, for programmers whose responsibilities include insurance software development, many useful tools have been created that are suitable for their needs and corresponding to their skills.

TOP-12 tools for programmers of insurance companies

Every developer who works on coding for insurance products will need the following 12 “helpers”:

  1. BitDeli. It is a startup that has been operating since November 2021. With its help, programmers are able to analyze various data using a variety of metrics through Python scripts. An important plus of it is that the scripts can be of different levels of complexity, which will depend on the needs of the developers. They can even be self-taught. Suitable for analytics. The solution is easy to use.
  2. Continuity. It is a platform that was created with the aim of pulling businesses to the same level as the companies of its creators – Yahoo and Facebook. The guys created a data structure to implement a new level of abstraction over complex connections in HBase and Hadoop. The main advantage of the platform is the facilitation of Big Data development processes for programs that are designed to work with external and internal audiences.
  3. Flurry. This application is in the “store” format, which is intended for the creation of mobile programs, as well as for the analysis of their data. This allows the application to be improved.
  4. Google Prediction API. Suitable for developers who have the necessary knowledge to work with the Prediction API. This interface will provide a wide range of diagrams and topics, and will also allow the application to give correct answers.
  5. Infochimps. We are talking about a platform, despite the fact that the brand today is trying to become a company and become even more successful. As for the platform for the programmer, he gets the Wukong framework, which has a key task – to interact with Hadoop and its data, while using Ruby scripts.
  6. Keen IO. In 2012, this tool was recognized as the best and most effective in its category, and it is used in analytics by mobile application developers. Its plus lies in its ease of use. You need to apply just one line, which is inserted into the source code to be able to track all the necessary information from the programs.
  7. Kontagent. A tool for processing huge amounts of information.
  8. Mortar Data. It is a cloud service that has managed to replace MapReduce with a combination of Python and Pig. It differs in simplicity and clarity in operation.
  9. Placed Analytics. A tool that provides programmers with ready-made products. With its help, it is possible to obtain complete information about the use of the application by customers: where, when and how long it lasted. The data is especially useful for app owners and advertisers.
  10. Precog. It is an interactive environment for developing insurance analytics products based on Quirrel, an open query language.
  11. Spring for Apache Hadoop. A tool that greatly simplifies the creation of programs that use Hadoop, and also provides integration with other Spring applications.
  12. StatsMix. It is a tool with which developers can collect and analyze data received from programs using only the languages they have learned.
See also  Pinterest Adds 26 Million More Users, Sees Revenue Jump in Q3

Take a look at the Fireart site for more interesting and useful information. The main thing to remember is that analytics not only assesses the quality of traffic, looks for ways to increase conversion and reduces the cost of attracting customers, but also determines the most effective advertising channels, compiles portraits of visitors and their behavior patterns on sites, identifies site shortcomings up to technical errors.

Source link

Continue Reading


From Creation to Stellar ROI



From Creation to Stellar ROI

Reaching the right customers with your Google Ads campaigns is critical to increase conversions. While it’s possible that scattershot advertisements could catch the interest of Internet users, it’s far more likely that this general ad approach will result in a disconnect between dollars spent and sales made.

To help ensure your ads are reaching the people in the right place, it’s worth leveraging a function in the Google Display Network (GDN) known as affinity audiences. Using these audiences helps pinpoint customer segments that may be more likely to purchase your products, in turn driving more effective and efficient ad spend.

But what exactly is an affinity audience? How do they work, how can you create your own — and what can you expect once you dial in the ideal customer segment? Let’s find out.

What are Affinity Audiences?

Affinity audiences are used by the Google Display Network to deliver your ads to relevant locations online. Given that Google’s network reaches more than 90 percent of Internet users worldwide, it’s well worth the time and effort to understand and apply these audiences at scale.

But what is an affinity audience?

Let’s break the term down into its component parts. Audience is easy — it’s the group of people that will see your ad. Affinity, meanwhile, is defined as “a feeling of closeness and understanding that someone has for another person because of their similar qualities, ideas, or interests.” The result? An affinity audience is a group of potential customers that share similar interests or qualities (similar to a buyer persona).

Using affinity audiences allows your brand to better align ad campaigns to buyers who are interested in what you have to sell. For example, if you’re in the coffee-making business but also have a focus on reducing plastic waste, your affinity audience might contain both people who love coffee and those who love the environment. Groups with both of these qualities are far more likely to buy your product than either group individually.

See also  Giving Back to Get: 5 Ideas to Build Links by Helping Others

Affinity Targeting

Affinity targeting, meanwhile, is the process of identifying the ideal affinities that align with your product or service. Consider the coffee example above. While targeting buyers who love coffee helps improve your brand placement, it also puts you in direct competition with a host of other brands all producing similar products. Additional affinity modifiers that narrow your focus — such as sustainable growth processes, fair labor practices, or environmental priorities — can help set your brand apart.

Do note that it is possible to get too specific with your audience targeting. For example, if your coffee brand targets audiences that prefer beans from a specific region that are collected, packed, and shipped in a specific way, you may end up with a handful of very loyal customers but almost no broader appeal. As a result, targeting needs to narrow the focus without preventing you from reaching the greater public.

What are Custom Audiences?

GDN and the Google Ads platform contain a host of pre-built Google affinity audiences — also called segments — that you can use to focus your marketing and advertisements. These include everything from pet lovers to do-it-yourselfers, TV comedy fans and users with an interest in news and politics.

prebuilt affinity audiences in google ads

But they can’t cover everything. You may have a product or service that doesn’t dovetail with existing segments — here, custom affinity audiences can help.

Understanding Custom Affinity Audiences

Custom affinity audiences are those you create yourself in your Google Ads platform to align with the interests of your target customer base. While Google will suggest different potential segment tags depending on what you input, it’s worth taking the time to do some market research before diving into the custom affinity process. This lets you pinpoint the audience preferences that align best with your brand.

See also  Pinterest Adds 26 Million More Users, Sees Revenue Jump in Q3

You can create custom affinity audiences related to four criteria: Interests, URLs, places, or applications. In general, places and applications are the least useful of the bunch. Here’s why. In our coffee example above, there aren’t a lot of coffee-related applications that would set your audience apart. And while geography has some impact on buying behavior, it’s usually not enough to justify an entire segment.

Interests and URLs, meanwhile, can help you dig down and identify potential affinity options that may be shared by your target market at large.

How to Create Affinity Audiences

Ready to create your own affinity audience? Follow these steps:

  1. Log into your Google Ads account.
  2. Select “Tools and Settings”, then “Audience manager.”
  3. Select “Custom Segments.”
  4. Enter segment name and interests.
  5. Save your new segment.

Let’s tackle each step in more detail.

1. Log Into Your Google Ads Account

how to use custom affinity audiences: log in to google ads

First, log into your Google Ads account. Here, you can see any active campaigns along with the associated affinity audiences.

2. Select “Tools and Settings”, then “Audience Manager”

how to use custom affinity audiences: access audience manager

Next, head to “tools and settings” in the upper-right-hand corner and then find “Audience manager” in the drop-down menu.

3. Select “Custom Segments”

how to use custom affinity audiences: custom segments

Now you’ll see a list of any data segments you’re currently using to target prospective buyers. To create an audience or segment, click on “Custom Segments” and then the blue “+” icon.

4. Enter Segment Name and Interests

how to use custom affinity audiences: segment name

Now, give your segment a name and add a few potential interests. For example, if you enter “coffee”, Google will return interests or purchase intention ideas such as “coffees to make with an espresso machine”, “how to make coffee with coffee beans” and “coffee makers that make different coffees.”

See also  How To Optimize Your eCommerce Conversion Rate Through WordPress Plugins

5. Save Your New Segment

Finally, save your new segment with use for ad campaigns. You can create as many segments as you like until you’ve covered all relevant market bases.

The Impact of Effective Affinity Audiences

Ideally, affinity audiences lead to a definitive result: Increased ROI.

Here’s why: When your ads are shown to audiences that are interested in what you’re selling, they’re more likely to click through and purchase your products. As a result, the money you spend on advertising is directly offset by the conversions driven by these ads, in turn creating positive ROI. More generic campaigns, meanwhile, may still increase overall sales but not enough to balance out the spend required to reach larger audiences.

The right audience makes all the difference. Targeted, customized affinity audiences help you reach the people that want to buy your products, in turn boosting conversions and making your overall ad spend more cost-effective. Custom affinity audiences further narrow your market targeting, increasing the likelihood of revenue and reducing the gap between what you spend on ads and what you get in return.

New Call-to-action

Source link

Continue Reading


The HubSpot Blog’s 2022 Social Media Marketing Report: Data from 310 Marketers



The HubSpot Blog's 2022 Social Media Marketing Report: Data from 310 Marketers

In our recent Marketing Trends survey, we learned that social media is the most effective channel marketers leverage, as well as the channel they use most.


See also  TikTok Shares New Insights into the Importance of Audio in Brand Marketing
Continue Reading

Subscribe To our Newsletter
We promise not to spam you. Unsubscribe at any time.
Invalid email address