SEO
We Studied 100 SaaS Twitter Profiles to Uncover Top Trends: Here’s What We Found

Every company on Twitter has the same features at its disposal to create a standout profile.
Here are those features:

But how many SaaS companies make use of them all? And are they using them well?
To find out, we studied the Twitter profiles of 100 SaaS companies.
Let’s start at the top.
Sidenote.
Thanks to my colleague, Rebecca Liew, for doing most of the research for this post. She’s the one who shares all the useful SEO tips, threads, and product updates on our Twitter account, so make sure to follow us if you’re not doing so already.
37% of SaaS companies feature their mission statement or tagline in their banner, making it the most popular option.

Here’s a super clean example from Zapier:

The next most popular option (25%) is a branded illustration, like this one from Asana:

Product illustrations are also a relatively popular choice, with 14% of SaaS companies opting for them.
Here’s an example from InVision:

This demonstrates how its collaboration features work without falling into the trap of showing cluttered screenshots of the literal UI.
Unfortunately, while these kinds of banners work well on desktop, they’re rarely great on mobile.
For example, much of InVision’s banner is obfuscated by the notch and UI elements on my iPhone:

Even without the obfuscation, the product text is super tiny and hard to read. This issue is magnified for SaaS companies that use their literal product UI.
Case in point, Linear:

These are things we’re always conscious of when designing banners for our profile, as you can tell from the mockup below:

As for the remaining 24% of SaaS companies, we saw everything from, um, nothing…

… to generic stock photography (seriously, Airtable, what is this all about?)

… to folks with Swiss roll hair rollers (is this how you capture the millennial market? *takes notes*):

Bland, boring, and zany examples aside, one interesting trend I noticed is that many companies don’t just set a banner and forget it. They swap it to coincide with new feature releases, events, new industry awards, new content, open job positions, etc.
Here are a couple of examples:


Given the number of profile views SaaS companies like Drift and Webflow likely get, this makes a lot of sense.
In fact, this is something we do too.
Here’s our banner promoting our list of Ahrefs hacks:

Key takeaways + our advice
- 62% of companies feature a mission statement, tagline, or branded illustration – These are all good choices for a “default” Twitter banner. They help reinforce your brand identity and tell potential followers what you’re all about.
- 14% of companies feature their products – It makes sense to swap out your “default” banner for this to coincide with product announcements. Just remember to design them with mobile UIs and notches in mind.
- 24% of companies feature something else – It’s probably best to avoid zany and vague banners unless you’re a household brand or are trying to tie your Twitter presence to an advertising campaign. However, it makes sense to showcase time-sensitive things like upcoming events, awards you’ve won, job positions, etc.
100% of SaaS companies feature their logo (or some variation) here.
Big surprise, right? So why am I even bothering to mention it?
The answer is that I want to draw your attention to a mistake some brands make, which is being hell-bent on using their full text-heavy logo.
Don’t get me wrong. There’s nothing wrong with including your full logo when it has a short “horizontal length.”
Take Wix, for example:

This works just fine. It’s easy to read and recognize on desktop and mobile—even in the small feed icons:

But this works less well for brands with logos with a wider “horizontal length.”
Case in point, Talenox:

This is virtually impossible to read on mobile and doesn’t grab your attention in the feed:

I can’t help but feel the icon alone would be much better at grabbing your attention.
Here’s a mockup:

Interestingly, this is a lesson learned from personal experience. We used to have our profile photo set to our “full width” logo, but we soon realized our mistake and changed it to the custom branded icon you see today:

Key takeaways + our advice
- 100% of SaaS companies set their profile photo as their logo – You probably should too. Just make sure to use an icon from your logo or a shorter version if it’s text-heavy.
Most companies (68%) use their bio to reflect what their product or service does.

Here’s an example from Mailchimp:

Even if you knew nothing about Mailchimp before coming across its Twitter profile, you’d end up with a pretty good idea about what it’s selling from its bio alone.
But what about everyone else?
Well, 28% of companies use it to state their company mission.
Here’s an example from Asana:

If you’re none the wiser about what Asana actually is or does after that, join the club. And this isn’t even vague compared to some. Check out Cialfo’s:

Luckily, the final 4% of companies are being a bit more creative. They seem to either highlight what to expect from following them like BrightLocal or opt for a pure fun approach like Shopify.


(I like how BrightLocal notes “Tweets by Jenny.” Definitely adds a personal touch!)
Key takeaways + our advice
- 68% of companies explain what their product or service does – This is always a safe bet that helps potential followers understand what you’re all about.
- 28% of companies state their mission or tagline – This is probably not the best choice unless you’re already a household name and it’s more important to convey a “message” than what you do.
- 4% of companies use their bio for something else – I’d avoid the zany “fun” bios unless you’re a household name. They’re vague and unhelpful in most cases. As for telling potential followers what they can expect from you, that makes sense—especially if you only post very specific things on Twitter like product updates.
- Personal touches are… a nice touch – Hardly any SaaS brands do this, but I think adding “Tweets by [name]” is a great way to humanize your brand (assuming the tweets are actually by one person, of course).
Most SaaS companies (58.4%) don’t utilize bio links.

Here’s what we mean by bio links, by the way:

They’re the ones that are actually in the bio (not the dedicated “website” link).
Basically, any URL or Twitter handle (e.g., @ahrefs) you mention in your bio automatically gets turned into a link.
For example, here’s me setting up my bio…

… and the result:

But of those that do use them, what do they use them for?
Here’s the data:

Sidenote.
These don’t add up to 100% because some companies include multiple links.
60% of SaaS companies include support links.
These are either links to dedicated support Twitter profiles (e.g., @asksalesforce)…

… website support hubs

… or both:

19% of brands link to a status page or profile:

Interestingly, most of the brands doing this are project management (Airtable, Monday, Miro, etc.) or community apps (Slack, Circle, etc.). Given how much it can impact your day when these kinds of tools go down, that makes perfect sense.
19% of brands link to their homepage:

(Given that the homepage link is almost always duplicated in the profile link, this seems like a waste of space to me. I’m not sure why it’s so common.)
And the final 26% of brands link elsewhere, such as to a newsletter signup page…

… their social profiles and communities

… or even branded hashtags:

Initially, I thought the branded hashtag was a bit of an odd choice for quite a small brand. However, it actually makes sense, as it’s basically a feed of success stories (big and small) from customers who love the software.
Here are a couple of examples:
Key takeaways + our advice
- 58.4% of companies don’t utilize bio links – This is a waste. Every company has something it could promote here.
- 60% of companies link to support pages or profiles – Given that frustrated customers often take to Twitter
to complainfor support, this seems like an effort to move the conversation somewhere less public. That makes sense, especially as customers are probably going to get faster responses elsewhere anyway. - 19% of companies link to a status page – This seems like a great way to reduce the number of support requests during outages.
- 19% of companies link to their homepage – This seems like a waste of space, as most profiles have a homepage link in the website link section.
- 26% of companies link elsewhere – Newsletter signup pages, communities, and jobs pages are all popular options that make sense. I’d stay clear of branded hashtags unless you’re promoting them elsewhere. Otherwise, I doubt they’ll get much engagement.
Believe it or not, 7% of companies don’t have a profile link.
Of those that do, 95.7% link to their homepage.

This makes sense. It’s the obvious place to link to and probably the best one to direct followers to learn more about your product or brand.
Most of the remaining 4.3% link to a Linktree (or another similar alternative):

This approach seems more common with individual “influencers,” but I think it can also work well for SaaS companies.
Yotpo is a good example. Its Linktree links to:
- Jobs page – Makes sense. If you like a brand enough to follow it on Twitter, there’s a chance you might be interested in working for it.
- Blog post – Specifically, one that explains the benefits of “zero-party data,” which is what its product helps business owners collect.
- Landing page – This is for its “brand accelerator program” (an initiative to help black-owned small businesses grow).
- Press release – This talks about how it made Forbes’ list of the top 100 private cloud companies.
- Homepage – Ah… we got there eventually!
Sidenote.
The page also links to a campaign to “nominate an amazing woman in ecommerce,” but it’s a 404.
Key takeaways + our advice
- 95.7% of companies (if they have a profile link) link to their homepage – I’d recommend this for pretty much every SaaS company too. It’s a solid choice and helps potential followers learn more about what you do.
- 4.3% link elsewhere – Mostly to a Linktree (or similar). This is a fine choice if you want to promote multiple things to followers, like job openings and awards.
Only 55% of SaaS companies use the pinned tweet feature.
Most of those that do (60%) feature a product-related tweet.

Here’s an example from Intercom:

Interestingly, I spotted a lot of brands using videos for this. This makes sense, as there’s really no better way to demonstrate a product feature or explain what your software does. It also allows you to fit more information into your tweet than you’d be able to with 280 characters.
Sidenote.
The tweet character limit for Twitter Blue subscribers is technically 4,000. However, a) not all brands have Twitter Blue and b) 4,000 characters are apparently between 571 and 1,000 words on average—who in their right mind wants to read that much copy in a plain text tweet?
10.9% of brands feature an event, contest, challenge, or poll.
Here’s an example from Litmus:

Obviously, these aren’t just “set it and forget it” pinned tweets. Once the event, challenge, contest, or poll is over, brands swap them out for something else.
What else?
Blog posts and Twitter threads are common, with 5.5% and 3.6% of brands respectively showcasing these in pinned tweets.
Here are a few examples:


Given that Twitter users almost certainly prefer native content, you’re probably better off turning a blog post you want to promote here into a thread instead. You can always promote the blog post at the end.
This is precisely what we did for our current pinned tweet:

These 18 hacks began life as a blog post. But we knew we’d likely get way more engagement by turning them into a Twitter thread.
We then promote our newsletter at the end of the thread:

The remaining 20% of SaaS companies feature other things, like awards they’ve won…

… rebrand announcements

… and white papers:

I think these all make sense—except for white papers.
Even if you’re targeting enterprise customers, I just can’t see many people browsing Twitter and thinking “Oh, cool—a white paper! I’ll download that right away!”
Key takeaways + our advice
- 45% of companies don’t have pinned tweets – Don’t be one of them. Pinned tweets are a useful way to highlight import updates, campaigns, and initiatives.
- 60% of companies have product-related pinned tweets – This is a safe bet, but I think it’s best to use an engaging format like video if possible. This also extends the amount of information you can put in your pinned tweet beyond the 280-character limit.
- 10.9% of companies feature events, contests, challenges, or polls – This makes sense, as you usually want to draw as much attention to these types of events as possible in a limited period of time.
- 5.5% of companies feature blog posts – I would avoid this, as I think few Twitter users want to consume content off the platform.
- 3.6% of companies feature threads – I think there are too many threads on Twitter, but they’re obviously popular so… what do I know? Either way, this is another good way to effectively extend the 280-character tweet limit.
- 20% of companies feature other things – Awards, announcements—basically whatever they want to draw attention to at the moment. Just don’t try to force users to download white papers; I really don’t think anyone on Twitter wants that.
Final thoughts
How you set up your company’s Twitter profile depends on the impression you want to make and the things you want to promote. Just make sure to utilize all the features Twitter gives you to create a standout profile.
If you’re short on time, here’s our best advice to get your profile up and running fast:

Got questions? Ping me on… you know where.
SEO
Google Analytics 4 Features To Prepare For Third-Party Cookie Depreciation

Google will roll out new features and integrations for Google Analytics 4 (GA4) for first-party data, enhanced conversions, and durable ad performance metrics.
Beginning in Q1 2024, Chrome will gradually phase out third-party cookies for a percentage of users, allowing for testing and transition.
Third-party cookies, which have been central to cross-site tracking, are being restricted or phased out by major browsers, including Chrome, as part of its Privacy Sandbox project.
The following features should help advertisers “unlock durable performance” while preserving user privacy.
Support For Protected Audience API In GA4
A key feature of recent updates to Google Analytics 4 is the integration of Protected Audience API, a Privacy Sandbox technology that is set to become widely available in early 2024.
This API allows advertisers to continue reaching their audiences after the third-party cookie phase-out.
What Is The Protected Audience API?
The Protected Audience API offers a novel approach to remarketing, which involves reminding users about sites and products they have shown interest in without relying on third-party cookies.

This method involves advertisers informing the browser directly about their interest in showing ads to users in the future.
The browser then uses an algorithm to determine which ads to display based on the user’s web activity and advertiser inputs.
It enables on-device auctions by the browser, allowing it to choose relevant ads from sites previously visited by the user without tracking their browsing behavior across different sites.
Key Features And Development
Key features of the Protected Audience API include interest groups stored by the browser, on-device bidding and ad selection, and ad rendering in a temporarily relaxed version of Fenced Frames.
The API also supports a key/value service for real-time information retrieval, which can be used by both buyers and sellers for various purposes, such as budget calculation or policy compliance.
The Protected Audience API, initially known as the FLEDGE API, has evolved from an experimental stage to a more mature phase, reflecting its readiness for wider implementation.
This transition is part of Google’s broader efforts to develop privacy-preserving APIs and technologies in collaboration with industry stakeholders and regulatory bodies like the UK’s Competition and Markets Authority.
The Protected Audience API offers a new way to connect with users while respecting their privacy, necessitating a reevaluation of current advertising strategies and a focus on adapting to these emerging technologies.
Support For Enhanced Conversions
Rolling out in the next few weeks, enhanced conversions is a feature enhancing conversion measurement accuracy.


Enhanced conversions for the web cater to advertisers tracking online sales and events. It captures and hashes customer data like email addresses during a conversion on the web, then matches this with Google accounts linked to ad interactions.
This method recovers unmeasured conversions, optimizes bidding, and maintains data privacy.
For leads, enhanced conversions track sales from website leads occurring offline. It uses hashed data from website forms, like email addresses, to measure offline conversions.
Setup options for enhanced conversions include Google Tag Manager, a Google tag, or the Google Ads API, with third-party partner support available.
Advertisers can import offline conversion data for Google Ads from Salesforce, Zapier, and HubSpot with Google Click Identifier (GCLID).
Proper Consent Setup
To effectively use Google’s enhanced privacy features, it’s essential to have proper user consent mechanisms in place, particularly for traffic from the European Economic Area (EEA).
Google’s EU user consent policy mandates consent collection for personal data usage in measurement, ad personalization, and remarketing features. This policy extends to website tags, app SDKs, and data uploads like offline conversion imports.
Google has updated the consent mode API to include parameters for user data consent and personalized advertising.
Advertisers using Google-certified consent management platforms (CMPs) will see automatic updates to the latest consent mode, while those with self-managed banners should upgrade to consent mode v2.
Implementing consent mode allows you to adjust Google tag behavior based on user consent, ensuring compliance and enabling conversion modeling for comprehensive reporting and optimization.
Consent Mode integration with CMPs simplifies managing consent banners and the consent management process, adjusting data collection based on user choices and supporting behavioral modeling for a complete view of consumer performance.
Durable Ad Performance With AI Essentials
To effectively utilize AI, marketers need robust measurement and audience tools for confident decision-making.
Google provided a general checklist of AI essentials for Google advertisers. In it, advertisers are encouraged to adopt AI-powered search and Performance Max campaigns, engage in Smart Bidding, and explore video campaigns on platforms like YouTube.
Google also offers a more in-depth checklist for Google Ads, Display & Video 360, and Campaign Manager 360.


More Ways To Prepare For The Third-Party Cookie Phase Out
As third-party cookies are phased out, it’s essential to audit and modify web code, especially focusing on instances of SameSite=None using tools like Chrome DevTools.
Adapting to this change involves understanding and managing both third-party and first-party cookies, ensuring they are set correctly for cross-site contexts and compliance.
Chrome provides solutions like Partitioned cookies with CHIPS and Related Website Sets.
At the same time, the Privacy Sandbox introduces APIs for privacy-centric alternatives, with additional support for enterprise-managed Chrome and ongoing development of tools and trials to assist in the transition.
As Google continues to update resources and documentation to reflect these changes, stakeholders are encouraged to engage and provide feedback, ensuring that the evolution of these technologies aligns with industry needs and user privacy standards.
Featured image: Primakov/Shutterstock
SEO
4 Ways To Try The New Model From Mistral AI

In a significant leap in large language model (LLM) development, Mistral AI announced the release of its newest model, Mixtral-8x7B.
magnet:?xt=urn:btih:5546272da9065eddeb6fcd7ffddeef5b75be79a7&dn=mixtral-8x7b-32kseqlen&tr=udp%3A%2F%https://t.co/uV4WVdtpwZ%3A6969%2Fannounce&tr=http%3A%2F%https://t.co/g0m9cEUz0T%3A80%2Fannounce
RELEASE a6bbd9affe0c2725c1b7410d66833e24
— Mistral AI (@MistralAI) December 8, 2023
What Is Mixtral-8x7B?
Mixtral-8x7B from Mistral AI is a Mixture of Experts (MoE) model designed to enhance how machines understand and generate text.
Imagine it as a team of specialized experts, each skilled in a different area, working together to handle various types of information and tasks.
A report published in June reportedly shed light on the intricacies of OpenAI’s GPT-4, highlighting that it employs a similar approach to MoE, utilizing 16 experts, each with around 111 billion parameters, and routes two experts per forward pass to optimize costs.
This approach allows the model to manage diverse and complex data efficiently, making it helpful in creating content, engaging in conversations, or translating languages.
Mixtral-8x7B Performance Metrics
Mistral AI’s new model, Mixtral-8x7B, represents a significant step forward from its previous model, Mistral-7B-v0.1.
It’s designed to understand better and create text, a key feature for anyone looking to use AI for writing or communication tasks.
New open weights LLM from @MistralAI
params.json:
– hidden_dim / dim = 14336/4096 => 3.5X MLP expand
– n_heads / n_kv_heads = 32/8 => 4X multiquery
– “moe” => mixture of experts 8X top 2 👀Likely related code: https://t.co/yrqRtYhxKR
Oddly absent: an over-rehearsed… https://t.co/8PvqdHz1bR pic.twitter.com/xMDRj3WAVh
— Andrej Karpathy (@karpathy) December 8, 2023
This latest addition to the Mistral family promises to revolutionize the AI landscape with its enhanced performance metrics, as shared by OpenCompass.
What makes Mixtral-8x7B stand out is not just its improvement over Mistral AI’s previous version, but the way it measures up to models like Llama2-70B and Qwen-72B.
It’s like having an assistant who can understand complex ideas and express them clearly.
One of the key strengths of the Mixtral-8x7B is its ability to handle specialized tasks.
For example, it performed exceptionally well in specific tests designed to evaluate AI models, indicating that it’s good at general text understanding and generation and excels in more niche areas.
This makes it a valuable tool for marketing professionals and SEO experts who need AI that can adapt to different content and technical requirements.
The Mixtral-8x7B’s ability to deal with complex math and coding problems also suggests it can be a helpful ally for those working in more technical aspects of SEO, where understanding and solving algorithmic challenges are crucial.
This new model could become a versatile and intelligent partner for a wide range of digital content and strategy needs.
How To Try Mixtral-8x7B: 4 Demos
You can experiment with Mistral AI’s new model, Mixtral-8x7B, to see how it responds to queries and how it performs compared to other open-source models and OpenAI’s GPT-4.
Please note that, like all generative AI content, platforms running this new model may produce inaccurate information or otherwise unintended results.
User feedback for new models like this one will help companies like Mistral AI improve future versions and models.
1. Perplexity Labs Playground
In Perplexity Labs, you can try Mixtral-8x7B along with Meta AI’s Llama 2, Mistral-7b, and Perplexity’s new online LLMs.
In this example, I ask about the model itself and notice that new instructions are added after the initial response to extend the generated content about my query.


While the answer looks correct, it begins to repeat itself.


The model did provide an over 600-word answer to the question, “What is SEO?”
Again, additional instructions appear as “headers” to seemingly ensure a comprehensive answer.


2. Poe
Poe hosts bots for popular LLMs, including OpenAI’s GPT-4 and DALL·E 3, Meta AI’s Llama 2 and Code Llama, Google’s PaLM 2, Anthropic’s Claude-instant and Claude 2, and StableDiffusionXL.
These bots cover a wide spectrum of capabilities, including text, image, and code generation.
The Mixtral-8x7B-Chat bot is operated by Fireworks AI.


It’s worth noting that the Fireworks page specifies it is an “unofficial implementation” that was fine-tuned for chat.
When asked what the best backlinks for SEO are, it provided a valid answer.


Compare this to the response offered by Google Bard.


3. Vercel
Vercel offers a demo of Mixtral-8x7B that allows users to compare responses from popular Anthropic, Cohere, Meta AI, and OpenAI models.


It offers an interesting perspective on how each model interprets and responds to user questions.


Like many LLMs, it does occasionally hallucinate.


4. Replicate
The mixtral-8x7b-32 demo on Replicate is based on this source code. It is also noted in the README that “Inference is quite inefficient.”


In the example above, Mixtral-8x7B describes itself as a game.
Conclusion
Mistral AI’s latest release sets a new benchmark in the AI field, offering enhanced performance and versatility. But like many LLMs, it can provide inaccurate and unexpected answers.
As AI continues to evolve, models like the Mixtral-8x7B could become integral in shaping advanced AI tools for marketing and business.
Featured image: T. Schneider/Shutterstock
SEO
OpenAI Investigates ‘Lazy’ GPT-4 Complaints On Google Reviews, X

OpenAI, the company that launched ChatGPT a little over a year ago, has recently taken to social media to address concerns regarding the “lazy” performance of GPT-4 on social media and Google Reviews.

This move comes after growing user feedback online, which even includes a one-star review on the company’s Google Reviews.
OpenAI Gives Insight Into Training Chat Models, Performance Evaluations, And A/B Testing
OpenAI, through its @ChatGPTapp Twitter account, detailed the complexities involved in training chat models.


The organization highlighted that the process is not a “clean industrial process” and that variations in training runs can lead to noticeable differences in the AI’s personality, creative style, and political bias.
Thorough AI model testing includes offline evaluation metrics and online A/B tests. The final decision to release a new model is based on a data-driven approach to improve the “real” user experience.
OpenAI’s Google Review Score Affected By GPT-4 Performance, Billing Issues
This explanation comes after weeks of user feedback about GPT-4 becoming worse on social media networks like X.
Idk if anyone else has noticed this, but GPT-4 Turbo performance is significantly worse than GPT-4 standard.
I know it’s in preview right now but it’s significantly worse.
— Max Weinbach (@MaxWinebach) November 8, 2023
There has been discussion if GPT-4 has become “lazy” recently. My anecdotal testing suggests it may be true.
I repeated a sequence of old analyses I did with Code Interpreter. GPT-4 still knows what to do, but keeps telling me to do the work. One step is now many & some are odd. pic.twitter.com/OhGAMtd3Zq
— Ethan Mollick (@emollick) November 28, 2023
Complaints also appeared in OpenAI’s community forums.


The experience led one user to leave a one-star rating for OpenAI via Google Reviews. Other complaints regarded accounts, billing, and the artificial nature of AI.


A recent user on Product Hunt gave OpenAI a rating that also appears to be related to GPT-4 worsening.


GPT-4 isn’t the only issue that local reviewers complain about. On Yelp, OpenAI has a one-star rating for ChatGPT 3.5 performance.
OpenAI is now only 3.8 stars on Google Maps and a dismal 1 star on Yelp!
GPT-4’s degradation has really hurt their rating. Hope the business survives.https://t.co/RF8uJH1WQ5 pic.twitter.com/OghAZLCiVu
— Nate Chan (@nathanwchan) December 9, 2023
The complaint:


In related OpenAI news, the review with the most likes aligns with recent rumors about a volatile workplace, alleging that OpenAI is a “Cutthroat environment. Not friendly. Toxic workers.”


The reviews voted the most helpful on Glassdoor about OpenAI suggested that employee frustration and product development issues stem from the company’s shift in focus on profits.


This incident provides a unique outlook on how customer and employee experiences can impact any business through local reviews and business ratings platforms.


Google SGE Highlights Positive Google Reviews
In addition to occasional complaints, Google reviewers acknowledged the revolutionary impact of OpenAI’s technology on various fields.
The most positive review mentions about the company appear in Google SGE (Search Generative Experience).


Conclusion
OpenAI’s recent insights into training chat models and response to public feedback about GPT-4 performance illustrate AI technology’s dynamic and evolving nature and its impact on those who depend on the AI platform.
Especially the people who just received an invitation to join ChatGPT Plus after being waitlisted while OpenAI paused new subscriptions and upgrades. Or those developing GPTs for the upcoming GPT Store launch.
As AI advances, professionals in these fields must remain agile, informed, and responsive to technological developments and the public’s reception of these advancements.
Featured image: Tada Images/Shutterstock
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