Facebook, Twitter and Instagram are the top three most visited social media platforms after Google and YouTube. Social media platforms are a fertile ground for brands to advertise, engage with their audience, and add new consumers to their bucket.

But what really drives engagement over these platforms? The answer is content. An algorithm is a set of mathematical rules describing how data collection should behave. Social media algorithms help maintain order and rank search results and advertisements. For instance, an algorithm on Facebook directs the order in which the content is displayed.

Let us understand the algorithms working behind the top social media platforms.

Facebook

Every time someone checks their Facebook feed, the posts they see and the order in which they appear are determined by the algorithm. Considering the volume of users on its platform, it is nearly impossible that Facebook’s ranking system relies on a single algorithm. Instead, the team has to apply multiple layers of machine learning (ML) models to predict the most relevant, meaningful and engaging content for its individual users. The Facebook algorithms follow four steps process, namely:

Step 1: The step looks at the inventory – all the content available on the platform. It then considers the likes and dislikes, posts from friends, and groups one has joined.

Step 2: Next, it moves to consider thousands of active and passive signals. Active signals are likes, comments, shares, and replies measure engagement. Passive signals include view time, the time of posting, internet connection, etc..

Step 3: Then comes the prediction stage. Here, the algorithm uses thousands of signals to determine the engagement rate with a particular post. Say, for example, the likelihood of a user commenting, how much time they would engage with the post if the user watches the entire video, etc.

Step 4: In the final step, the algorithm will assign a relevancy score to a particular post, i.e., how much interest people will show to a particular post. Once the relevancy score is determined, the content is distributed.

Twitter

Twitter offers its users two different timelines: Home Timeline or Latest Tweets. A real-time chronological timeline of Tweets from the people you follow is displayed in Latest Tweets. Home moves posts into what it thinks is a better order using its ranking algorithm. Twitter’s ranking algorithm uses multiple ranking signals based on:

Recency: Depends on how popular a topic is, rather than looking for popular topics on a daily basis or for a while.

Relevancy: Users’ engagement history, from the posts they like, and topics they follow, to even the trends going viral at their location.

Engagement: This one takes care of the popular tweets, how people in one’s network react to those tweets, to like, retweet, etc.

Rich media: Depending on users’ interaction, images, videos, GIFs and polls get into the feeds.

The truth is that although the platform uses machine learning, not even Twitter is certain of the exact results of its algorithms. As part of its “responsible machine learning initiative,” Twitter is now investigating the outcomes of its algorithms.

Instagram

As Instagram describes it, there are multiple algorithms at play — each one for a different part of the platform, whether it’s feed posts or Reels. The algorithms take the users’ preferences, termed signals, to create content that helps users to remain hooked to the app. Hence, thousands of signals across four critical aspects (in descending order of importance) come together for a personalised view, which includes,

About the post: This one considers how well-liked a post is, as well as less important details about the content itself, such as when it was posted, length of a video, and location.

About the person who posts: This step allows the algorithm to get a sense of how interesting a person can be for a particular user, which includes signals like how frequently individuals have communicated with that person over the past several weeks or how well they have responded to their content.

Users’ activity: The task here is to find a particular user’s likes and dislikes, and understand the posts they like the most depending on what they share.

Users’ interaction history: This helps the platform understand the users general level of interest in reading posts from a certain person. Take, for example, whether they leave comments on one other’s posts.

Beyond the interest score, various other variables may affect where a post appears in a user’s home feed. These include the quality of the photo or video, the originality of the post, the violation of Instagram’s community guidelines, or if the content is reported.

TikTok

The TikTok algorithm makes personalized content recommendations for each of its users. Based on the specific tastes of each user, it chooses which videos to show them on their page. The algorithms take several signals into account, which include,

Behavioral signals of users: TikTok takes many factors into consideration, but the most crucial one is how users act on the platform. With the help of data such as video likes and shares, comments made, accounts followed, and the content created – the platform can better comprehend each user’s distinct tastes, and how they evolve over time. Based on how closely these behavioral signals match with the films, it ranks the clips.

Content discoverability: TikTok learns how to rank the content by using information from the video itself, such as captions, hashtags, and sounds. This is mostly because it uses the data to determine what the content is about, and when to display it on users’ pages.

Account indicators: TikTok analyzes each user’s device and account settings to maximise performance. It primarily considers country choices, preferred languages, device kind, category choice, etc. However, they don’t carry as much weight as the other two criteria because people don’t express them as preferences.

LinkedIn

LinkedIn has its own algorithm that can connect users, identify jobs, surface relevant material, and surface any other information a user would be looking for on the platform. The LinkedIn algorithm prefers relevance over recency. Its objective is to present readers with the information they are interested in, before more current updates. This enables LinkedIn to show users the articles, videos, jobs, and other content that matches their search criteria or are most likely to find interesting. The signals the LinkedIn platform uses include:

Connections: The algorithms consider connections as a reference to identify users’ tastes and preferences. More connections on LinkedIn equals more possibilities to rub shoulders with other professionals digitally. This allows people outside one’s connections to see their posts and vice-versa. Similarly, the LinkedIn algorithm considers the users one has interacted with through comments, likes, shares, and responses.

What is the content: The algorithm used by LinkedIn determines how pertinent a user’s content is to your interests. It “reads” the hashtag, post, page, and profile kinds users have interacted with most frequently. Again, based on users’ prior online activity, LinkedIn may even provide users with content unrelated to their current connections.

Engagement: The likelihood that a user will interact with further content is assessed by the LinkedIn algorithm using recent likes, shares, comments, Connection requests, and other engagement indicators.

To sum up,

An algorithm’s job is to provide users with pertinent content. It is used to filter through the vast amount of content available on each social media network. On the flip side, there is a call for large social media giants to shift towards ‘Explainable ML models’ for justifiable and transparent decision-making. What’s your take?

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Ipsos, a market research company, announced the launch of Ipsos RISE: a platform for modern brand, risk and reputation management.

Powered by AI and perfected by Ipsos’ Corporate Reputation and Public Affairs experts, Ipsos RISE (Reputation Intelligence for Strategic Evaluation) is designed to guide organizations with confidence as they navigate today’s complex and fast-moving corporate risk landscape.

“With brands and businesses expected to solve societal wrongs, positively impact their communities, and lead on ESG issues – all while delivering value to shareholders and stakeholders –reputation management has never been more critical or more challenging,” said Lorenzo Larini, CEO of Ipsos North America.

“Combining the speed and efficiency of digital data solutions with the analytical rigor of survey-based research, Ipsos RISE delivers a unique and focused solution for the evolving needs of brand and communications leaders, risk managers, and public affairs teams.”

From a single, easy-to-navigate interface, Ipsos RISE synthesizes traditionally disparate sets of data – including news, social media, survey and regulatory data, and more – into a single source of truth, equally useful for high-level insights and granular analysis.

Ipsos RISE offers organizations a flexible, efficient, and agile alternative to the increasing cost and complexity of competing options – without sacrificing depth or methodological rigor. As a solution set designed with the needs of modern communications and corporate affairs teams in mind, RISE insights are available through an optional 24/7 on-demand platform, or in the form of focused reports, offering a quick turnaround on issues reporting, emerging risk sensing, competitive and campaign monitoring, regulatory risk exploration, and more.

“With more data, strategic use of AI, and the backing of Ipsos’ best-in-class expertise, Ipsos RISE delivers streamlined insights business leaders need to act swiftly and with confidence,” said Jason McGrath, Head of Ipsos’ US Corporate Reputation team. “The solution positions teams to spot and manage risk upstream. Instead of firefighting in a crisis, Ipsos RISE offers a path to proactive issues and risk management.”

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ZapScale, a customer success platform, announced a Black Friday offer of 40% off for all new customers who onboard before 24 November. This offer is designed to help SaaS businesses save money and get a head start on improving their customer success in 2024.

ZapScale’s customer success platform has been instrumental in helping businesses of all sizes improve their customer retention and revenue growth, by providing actionable insights and automation. The platform is designed to help businesses understand their customers better, predict churn, and take proactive measures to ensure customer success, with an onboarding time of only one day.

“We understand that SaaS businesses are facing a number of challenges right now,” said Manasij Ganguli, Founder & CEO of ZapScale. “This Black Friday sale is our way of giving back to the community and helping businesses succeed. We want to make it as easy as possible for businesses to get started with ZapScale and start improving their customer success.”

In addition to the 40% discount, ZapScale is also offering a ‘Pay in January’ option for all new customers who onboard during the Black Friday sale. This means that businesses can get started with ZapScale today and not have to pay anything until January 2024.

“We want to make our platform accessible to as many businesses as possible so that they can start the new year on a strong footing,” said Ganguli.

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ARP Ideas will synergise Trustpilot’s features with Microsoft Dynamics to create a tailored solution that offers businesses an integrated platform for customer insights and CRM capabilities. By merging Trustpilot reviews directly within the Microsoft Dynamics 365 customer record, this integration will create a unified customer view. Sales, marketing, and service teams will be able to access real-time feedback and correlate it with other vital data to refine interactions across all customer touchpoints.

With advanced analytic capabilities, ARP Ideas’ solution deep dives into review data to offer insights around customer sentiment and behavior. Businesses can reach out directly to customers through Microsoft Dynamics, showcase reviews, and curate and highlight top reviews.

“At ARP Ideas, we are passionate about spearheading innovative integrations that deliver game-changing value for our clients,” said Ambrozy Rybicki, CEO and Cofounder of ARP Ideas, in a statement. “By pioneering this connection between Microsoft Dynamics 365 and Trustpilot, we are enabling organizations to engage with customers in entirely new ways. This integration represents our commitment to going above and beyond to solve our clients’ most pressing business needs with cutting-edge, custom-tailored solutions.”

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Optimove, the customer-led marketing platform, announced it has appointed Shai Frank as Senior Vice President of Product and General Manager of the Americas. With five years of tenure at Optimove and over eighteen years in product management, Frank brings a wealth of industry knowledge and a customer-centric approach that will further accelerate Optimove’s growth and reinforces its mission of prioritizing customers in marketing strategies. 

The appointment coincides with Optimove’s expanded global operations and strengthened support in the Americas. With significant company growth driven by pioneering product development initiatives, Optimove has established itself as the bellwether company, setting new industry standards in customer-led marketing.  

Optimove’s Founder & CEO, Pini Yakuel, stated, “Optimove’s growth over the past five years is a testament to our unwavering commitment to customer-led marketing. Shai Frank’s expertise and deep understanding of customer-led marketing make him the perfect candidate to lead this charge in the Americas. With his guidance, we are poised to continue delivering exceptional value to our customers.” 

Optimove’s customer-led marketing platform places the customer at the heart of marketing initiatives, surpassing traditional campaign- and product-centric approaches. By leveraging rich historical, real-time, and predictive customer data, AI-led multichannel journey orchestration, and statistically credible multitouch attribution, Optimove empowers brands to maximize customer lifetime value and foster long-term loyalty. 

Shai Frank, newly appointed Senior Vice President of Product and GM for the Americas, said, “I am humbled to be chosen to help drive Optimove’s expansion efforts in the Americas. Being able to deepen our relationship with clients is a crucial element to enhancing our offering. The prospect of meeting daily with leading B2C brands to understand their needs better and sharing how customer-led marketing can result in a 33% average uptick in customer lifetime value is extremely exciting.” 

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Netlify announced the Netlify Composable Web Platform, an industry-first platform for enterprises to build and implement modern, composable web architecture.

In today’s economic environment, every business is laser-focused on efficiency, agility, and resilience. Many enterprises are realizing legacy, monolithic web architectures aren’t able to meet growing business and customer demands. To gain competitive advantage and drive revenue, enterprises are turning to composable architecture to modernize their web presence.

Netlify’s Composable Web Platform offers enterprises a simplified, risk-free path towards composable web architecture and a foundation to accelerate speed-to-innovation for architects, developers, and marketers. With the new holistic platform, enterprises can personalize customer experiences and deploy fast, scalable and secure websites, e-commerce stores and web applications on-demand and with zero configuration.

“The Composable Web Platform is a meaningful milestone in Netlify’s mission of championing the modern, open, composable web,” said Matt Biilmann, Cofounder and CEO of Netlify. “We pioneered the Jamstack movement to empower web development teams, and now aim to similarly empower enterprises by equipping them with the tools they need to modernize their web architecture. This platform offers a pathway to composable that doesn’t require replatforming, but enables an incremental approach to meet businesses where they are and help them get to where they want to be.”

The Composable Web Platform unifies content, data sources, code and infrastructure, and empowers developers to select best-of-breed components that easily integrate into a single workflow. With Netlify’s world-class developer experience and these new capabilities, developers can reduce complexity and boost productivity by minimizing time spent on labor-intensive operations.

The new platform is a one-stop-shop for enterprise composable web development, bringing together content orchestration, frontend development and visual editing capabilities. The platform introduces unparalleled levels of security, reliability and stability, while eliminating the complexity of yet more integrations across a web stack. 

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Dentsu has added to its Merkury global data and identity platform, giving marketers ownership and growth of first-party identity.

The new suite of solutions includes the following

• Merkury’s enterprise identity and data solution, which provides unique person-based identity growth, ownership, and data enhancement, with transparency into ID quality and matching, integrations with mar-tech platforms like CDPs, personalization and email platforms; and matching of site visits to a person ID.
• Merkury for media, a person-based, end-to-end media solution for audience creation through planning, activation, measurement, and optimization. Clients can combine their first-party customer data with US consumer IDs and data to customize and own programmatic bidding and content decisioning algorithms. It combines direct premium display, video, and TV partner integrations with more than 100 new open identity and data integrations, including partners like Disney, LiveRamp, LG, and NBC Universal. Integrated privacy-safe clean rooms enable insights, optimization, and measurement by unifying business outcome data with campaign audiences and ad exposure data at the person level.
• Merkury for creativity will provide a single source of truth integrating identity data with creative and media performance, allowing users to build custom audiences via Merkury’s identity-enabled media solution and then create personalized, dynamic creative and content campaigns across all channels. The platform also leverages AI-powered intelligence for dynamic creative optimization, and direct integrations with other platforms.

“Disparate data hinders a business’ ability to drive digitization, total customer experience and profitability,” said Michael Komasinski, CEO of dentsu Americas and global CEO of Merkle, in a statement. “Our goal with the evolution of Merkury is to help our clients turn disparate data into data intelligence by bringing simplicity, interoperability, and order back to customer data management. As one of the early architects of people-based marketing, we’re proud to now pioneer the next gold standard: a modern open identity solution that enables future-ready brands.”

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Amplitude, Inc., a leading digital analytics platform, announced the launch of Amplitude Plus, a new self-service offering that puts more capabilities from its platform into the hands of more teams at a lower cost. With Plus, businesses of all sizes gain access to the most powerful features of Amplitude’s Digital Analytics Platform to deliver better digital experiences and drive better outcomes.

Acquiring, retaining, and monetizing customers is critical for early-stage companies looking to scale. However, many teams cannot afford the full stack of tools they need to understand what their customers love, where they get stuck, and what keeps them coming back. The Plus plan levels the playing field by putting the full breadth of the Amplitude platform into the hands of every organization at an affordable price.

Starting at just $49 per month for up to 300,000 monthly tracked users (MTU), Plus includes Amplitude Analytics’ capabilities, powerful audience-management tools within its Customer Data Platform, as well as A/B testing, feature flagging and other feature-management tools previously only available in Experiment. The Plus plan is truly self-service – people can sign up online and get started immediately.

“We’ve heard the feedback that the pricing models for data analytics are broken. For the category as a whole, it’s clear that event-based approaches can get expensive fast, pricing isn’t transparent, and the jump from free to paid is often steep,” said Spenser Skates, CEO and Co-founder of Amplitude. “With the Plus plan, we’re changing all that. We’re the first company to offer the best of our digital analytics platform in a self-serve way. It’s available at the best price on the market. And we’re making it super simple to get up and running quickly.”

The launch of Plus comes on the heels of an enhanced onboarding process to make it easier and faster for teams to get value from Amplitude. This includes:

• Taxonomy templates and event recommendations that make it easy to instrument data.
• Industry-specific starter templates that quickly surface product insights and guide users to more complex questions.
• Amplitude Academy offers flexible, self-paced learning, along with the Cohort community where industry peers share product and growth insights.

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Data Guardian combines artificial intelligence-powered trust scoring and auditing to offer protection against privacy violations, improve visibility into media partner performance, and optimize spend.

“Data privacy isn’t just a compliance checkbox; it’s the cornerstone of trust in our digital age,” said Jeremy Bloom, Co-founder and CEO of Integrate, in a statement. “Data Guardian provides an extra layer of data protection to safeguard your customers’ information, your brand integrity, and long-term success.”

Data Guardian’s algorithms analyze lead data to assess lead quality and credibility. Lead data undergoes compliance audits to ensure adherence to privacy regulations. These efforts create a paper trail documenting efforts to maintain privacy standards.

Data Guardian offers the following:

• Direct Media Partner Lead Audit, to ensure content syndication lead compliance.
• Direct Media Partner Trust and Reliability Scores that benchmark performance standards to ensure the best performance, highest lead quality, and budget optimization.
• Data Subject Lead Verify to certify that leads are 100 percent marketable and secure another layer of assurance that privacy and compliance regulations are being upheld.

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Idelic, a provider of advanced driver performance management solutions, announced the launch of SafeView, a transformative business intelligence and analytics module designed to provide trucking fleets with the deepest and most insightful views into potential risks using their driver safety data.

Commercial trucking professionals continue to struggle to fully understand the multitude of factors impacting their driver safety programs. Data collection and analysis is time-consuming, requires specialized analytical expertise, and often lacks the necessary industry context to drive informed decisions. SafeView solves all of these problems, leveraging the vast amounts of data that each fleet has already integrated into Idelic’s Safety Suite Platform to produce intuitive and insightful visualizations, impact analyses, trend monitors, and industry benchmarks.

Jeff McKinney, GTI Group’s Vice President of Safety, said, “The new dashboards are incredibly adaptable, and the way they break down trends has completely changed how my team operates. McKinney added, “We can now make faster, smarter decisions based on real data. Plus, the tool is so precise, it helps us spot high-risk situations, which means we can act more effectively to ensure safety.”

This unprecedented visibility and context empower companies to allocate their driver safety resources more efficiently by pinpointing high-risk geographies or terminals, measuring the impact of risk-reducing initiatives, and eliminating the need for costly business analysts. In addition to the current analytics and reporting capabilities, fully customizable safety scorecards will be released later this year, enabling yet another way for fleets to more easily monitor their safety programs and enable their reward and recognition programs.

Chris McMahan, Safety Director at Dunavant Transportation Group, said of SafeView, “Prior to implementing Idelic’s Safety Suite Platform, we were spending countless hours mining data from several locations. Idelic’s SafeView module puts metrics and reporting at your fingertips with only a few mouse clicks. I’ve never worked with a better product or group of people.”

SafeView stands out by reinforcing Idelic’s unwavering commitment to centralizing safety performance data and delivering actionable insights to reduce crashes and lower losses. It paves the way for users to dive deep into extensive data sets without the need for additional IT or business analyst support, making it an invaluable asset to how fleets run their organization and exemplifying Idelic’s continued commitment to providing practical, technology-driven solutions for the fleet industry.

Brian Filip, Chief Technology Officer and Head of Product at Idelic, said, “Idelic has invested heavily for many years to ensure that Safety Suite is the most effective way to aggregate your driver safety data into one standard location and to use that data to execute the most effective driver safety program possible. This rich dataset, now optimized in our new data lake and data warehouses, can provide our customers with unprecedented visibility into their driver safety program. SafeView unlocks the potential of that data and makes it simple to access and understand. It’s like hiring a new business analyst with 20 years of experience and a briefcase full of benchmarking data.”

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