Once you’ve created content in the form of Web Stories, you’re probably wondering who your Web Stories are reaching and whether they’re resonating with your audience. Google Analytics and Data Studio are easy-to-use tools that help you understand how your Web Stories are performing on your website — or anywhere else on the web.
Viewing Web Stories performance in Google Analytics
The first step to measuring your Web Stories performance with Google Analytics is to set up tracking. Most Web Story editors, including Web Stories for WordPress, MakeStories, Newsroom AI and others, provide a simple way to add tracking in Google Analytics for each story created. You’ll need to provide the UA Tracking ID associated with the Google Analytics property you’re using for Web Stories.
Once your Stories are being tracked, key performance metrics will become available via the Events report in Google Analytics. This report is accessible by navigating to Behavior > Events > Overview in the navigation bar. The metrics available include:
- Story Starts: A measure of how many users started reading your Story. These are reported as pageviews in Google Analytics.
- Time Spent: A measure of how long users spend reading your Story, on average. This metric is helpful when determining how engaging your story is. This is reported as Avg. Time on Page in Google Analytics.
- Story Pages Viewed: A measure of how many users read each page in your Story. This can be a helpful indicator to determine how far users get into your Story and where they might lose interest. These are reported as story_pages_viewed events in Google Analytics, and can be found in the Events Report.
- Story Completions: A measure of how many users completed your Story by reaching the last page. These are reported as story_completion events in Google Analytics.
The Events Overview report in Google Analytics will report the story title under Event Category. You can click into each of your Stories listed to view data for each of the metrics above by selecting Event Action as the primary dimension.
Even simpler access to Web Story performance insights with Data Studio
The Web Stories Insights dashboard template in Data Studio provides an overview of your Web Stories’ performance by pulling data from Google Analytics into a simple and visually engaging report. The dashboard displays several essential metrics to consider when evaluating performance, including:
- Key Metrics: Story Starts, Page Views, Time Spent and Completion Rate
- Audience Metrics: Age, Gender and Device breakdown across all stories published
- Top Stories: Your top 10 stories during the selected time period, sorted by Story Starts
- Traffic Channels: An overview of where users are finding and reading your Web Stories
- Story Level Performance: Key metrics and a breakdown of pageviews for a specific story are available on the ‘Story Level’ page.
Anyone can access the dashboard by visiting goo.gle/web-stories-insights and selecting your Google Analytics account via the Click to Select your Data dropdown. Note you’ll only have access to analytics that your Google account is linked to, so be sure to verify which account you’re using. You can also create a copy of the template and adjust it according to your specific analytics needs.
We hope that Google Analytics and Data Studio will help you improve your Web Stories for your audience.
These apps and online spaces can help you manage your eco-anxiety—and take steps to tread more lightly on the planet.
Feed: All Latest
As financial crime has become significantly more sophisticated, so too have the tools that are used to combat it. Now, Quantexa — one of the more interesting startups that has been building AI-based solutions to help detect and stop money laundering, fraud, and other illicit activity — has raised a growth round of $ 153 million, both to continue expanding that business in financial services and to bring its tools into a wider context, so to speak: linking up the dots around all customer and other data.
“We’ve diversified outside of financial services and working with government, healthcare, telcos and insurance,” Vishal Marria, its founder and CEO, said in an interview. “That has been substantial. Given the whole journey that the market’s gone through in contextual decision intelligence as part of bigger digital transformation, was inevitable.”
The Series D values the London-based startup between $ 800 million and $ 900 million on the heels of Quantexa growing its subscriptions revenues 108% in the last year.
Warburg Pincus led the round, with existing backers Dawn Capital, AlbionVC, Evolution Equity Partners (a specialist cybersecurity VC), HSBC, ABN AMRO Ventures and British Patient Capital also participating. The valuation is a significant hike up for Quantexa, which was valued between $ 200 million and $ 300 million in its Series C last July. It has now raised over $ 240 million to date.
Quantexa got its start out of a gap in the market that Marria identified when he was working as a director at Ernst & Young tasked with helping its clients with money laundering and other fraudulent activity. As he saw it, there were no truly useful systems in the market that efficiently tapped the world of data available to companies — matching up and parsing both their internal information as well as external, publicly available data — to get more meaningful insights into potential fraud, money laundering and other illegal activities quickly and accurately.
Quantexa’s machine learning system approaches that challenge as a classic big data problem — too much data for a humans to parse on their own, but small work for AI algorithms processing huge amounts of that data for specific ends.
Its so-called “Contextual Decision Intelligence” models (the name Quantexa is meant to evoke “quantum” and “context”) were built initially specifically to address this for financial services, with AI tools for assessing risk and compliance and identifying financial criminal activity, leveraging relationships that Quantexa has with partners like Accenture, Deloitte, Microsoft and Google to help fill in more data gaps.
The company says its software — and this, not the data, is what is sold to companies to use over their own datasets — has handled up to 60 billion records in a single engagement. It then presents insights in the form of easily digestible graphs and other formats so that users can better understand the relationships between different entities and so on.
Today, financial services companies still make up about 60% of the company’s business, Marria said, with 7 of the top 10 UK and Australian banks and 6 of the top 14 financial institutions in North America among its customers. (The list includes its strategic backer HSBC, as well as Standard Chartered Bank and Danske Bank.)
But alongside those — spurred by a huge shift in the market to relying significantly more on wider data sets, to businesses updating their systems in recent years, and the fact that, in the last year, online activity has in many cases become the “only” activity — Quantexa has expanded more significantly into other sectors.
“The Financial crisis [of 2007] was a tipping point in terms of how financial services companies became more proactive, and I’d say that the pandemic has been a turning point around other sectors like healthcare in how to become more proactive,” Marria said. “To do that you need more data and insights.”
So in the last year in particular, Quantexa has expanded to include other verticals facing financial crime, such as healthcare, insurance, government (for example in tax compliance), and telecoms/communications, but in addition to that, it has continued to diversify what it does to cover more use cases, such as building more complete customer profiles that can be used for KYC (know your customer) compliance or to serve them with more tailored products. Working with government, it’s also seeing its software getting applied to other areas of illicit activity, such as tracking and identifying human trafficking.
In all, Quantexa has “thousands” of customers in 70 markets. Quantexa cites figures from IDC that estimate the market for such services — both financial crime and more general KYC services — is worth about $ 114 billion annually, so there is still a lot more to play for.
“Quantexa’s proprietary technology enables clients to create single views of individuals and entities, visualized through graph network analytics and scaled with the most advanced AI technology,” said Adarsh Sarma, MD and co-head of Europe at Warburg Pincus, in a statement. “This capability has already revolutionized the way KYC, AML and fraud processes are run by some of the world’s largest financial institutions and governments, addressing a significant gap in an increasingly important part of the industry. The company’s impressive growth to date is a reflection of its invaluable value proposition in a massive total available market, as well as its continued expansion across new sectors and geographies.”
Interestingly, Marria admitted to me that the company has been approached by big tech companies and others that work with them as an acquisition target — no real surprises there — but longer term, he would like Quantexa to consider how it continues to grow on its own, with an independent future very much in his distant sights.
“Sure, an acquisition to the likes of a big tech company absolutely could happen, but I am gearing this up for an IPO,” he said.
It’s easy to forget, but Salesforce bought Slack at the end of last year for almost $ 28 billion, a deal that has yet to close. We don’t know exactly when that will happen, but Slack continues to develop its product roadmap adding new functionality, even while waiting to become part of Salesforce eventually.
Just this morning, the company made official some new tools it had been talking about for some time, including a new voice tool called Slack Huddles, which is available starting today, along with video messaging and a directory service called Slack Atlas.
These tools enhance the functionality of the platform in ways that should prove useful as it becomes part of Salesforce whenever that happens. It’s not hard to envision how integrating Huddles or the video tools (or even Slack Atlas for both internal and external company organizational views) could work when integrated into the Salesforce platform.
Slack CEO Stewart Butterfield says the companies aren’t working together yet because of regulatory limits on communications, but he could definitely see how these tools could work in tandem with Salesforce Service Cloud and Sales Cloud among others and how you can start to merge the data in Salesforce with Slack’s communications capabilities.
“[There’s] this excitement around workflows from the big system of record [in Salesforce] into the communication [in Slack] and having the data show up where the conversations are happening. And I think there’s a lot of potential here for leveraging these indirectly in customer interactions, whether that’s sales, marketing, support or whatever,” he said.
He said that he could also see Salesforce taking advantage of Slack Connect, a capability introduced last year that enables companies to communicate with people outside the company.
“We have all this stuff working inside of Slack Connect, and you get all the same benefits that you would get using Huddles to properly start a conversation, solve some problem or use video as a better way of communicating with [customers],” he said.
These announcements seem to fall into two main categories: the future of work and in the context of the acquisition. Bret Taylor, Salesforce president and COO certainly seemed to recognize that when discussing the deal with TechCrunch when it was announced back in December. He sees the two companies directly addressing the changing face of work:
“When we say we really want Slack to be this next generation interface for Customer 360, what we mean is we’re pulling together all these systems. How do you rally your teams around these systems in this digital work-anywhere world that we’re in right now where these teams are distributed and collaboration is more important than ever,” Taylor said.
Brent Leary, founder and principal analyst at CRM Essentials says that there is clearly a future of work angle at play as the two companies come together. “I think moves like [today’s Slack announcements] are in response to where things are trending with respect to the future of work as we all find ourselves spending an increasing amount of time in front of webcams and microphones in our home offices meeting and collaborating with others,” he said.
Huddles is an example of how the company is trying to fix that screen fatigue from too many meetings or typing our thoughts. “This kind of ‘audio-first’ capability takes the emphasis off trying to type what we mean in the way we think will get the point across to just being able to say it without the additional effort to make it look right,” he said.
Leary added, “And not only will it allow people to just speak, but also allows us to get a better understanding of the sentiment and emotion that also comes with speaking to people and not having to guess what the intent/emotion is behind the text in a chat.”
As Karissa Bell pointed out on Engadget, Huddles also works like Discord’s chat feature in a business context, which could have great utility for Salesforce tools when it’s integrated with the Salesforce platform
While the regulatory machinations grind on, Slack continues to develop its platform and products. It will of course continue to operate as a stand-lone company, even when the mega deal finally closes, but there will certainly be plenty of cross-platform integrations.
Even if executives can’t discuss what those integrations could look like openly, there has to be a lot of excitement at Salesforce and Slack about the possibilities that these new tools bring to the table — and to the future of work in general — whenever the deal crosses the finish line.
Artificial intelligence is revolutionizing the digital marketing world. Here are some of the best AI tools currently available for small businesses.
Read more at PPCHero.com
As enterprise startups continue to target interesting gaps in the market, we’re seeing increasingly sophisticated tools getting built for small and medium businesses — traditionally a tricky segment to sell to, too small for large enterprise tools, and too advanced in their needs for consumer products. In the latest development of that trend, an Israeli startup called DataRails has raised $ 25 million to continue building out a platform that lets SMBs using Excel to run financial planning and analytics like their larger counterparts.
The funding closes out the company’s Series A at $ 43.5 million, after the company initially raised $ 18.5 million in April (some at the time reported this as its Series A, but it seems the round had yet to be completed). The full round includes Zeev Ventures, Vertex Ventures Israel, and Innovation Endeavors, with Vintage Investment Partners added in this most recent tranche. DataRails is not disclosing its valuation, except to note that it has doubled in the last four months, with hundreds of customers and on target to cross 1,000 this year, with a focus on the North American market. It has raised $ 55 million in total.
The challenge that DataRails has identified is that on one hand, SMBs have started to adopt a lot more apps, including software delivered as a service, to help them manage their businesses — a trend that has been accelerated in the last year with the pandemic and the knock-on effect that has had for remote working and bringing more virtual elements to replace face-to-face interactions. Those apps can include Salesforce, NetSuite, Sage, SAP, QuickBooks, Zuora, Xero, ADP and more.
But on the other hand, those in the business who manage its finances and financial reporting are lacking the tools to look at the data from these different apps in a holistic way. While Excel is a default application for many of them, they are simply reading lots of individual spreadsheets rather than integrated data analytics based on the numbers.
DataRails has built a platform that can read the reported information, which typically already lives in Excel spreadsheets, and automatically translate it into a bigger picture view of the company.
For SMEs, Excel is such a central piece of software, yet such a pain point for its lack of extensibility and function, that this predicament was actually the germination of starting DataRails in the first place,
Didi Gurfinkel, the CEO who co-founded the company with Eyal Cohen (the CPO) said that DataRails’ initially set out to create a more general purpose product that could help analyze and visualize anything from Excel.
“We started the company with a vision to save the world from Excel spreadsheets,” he said, by taking them and helping to connect the data contained within them to a structured database. “The core of our technology knows how to take unstructured data and map that to a central database.” Before 2020, DataRails (which was founded in 2015) applied this to a variety of areas with a focus on banks, insurance companies, compliance and data integrity.
Over time, it could see a very specific application emerging, specifically for SMEs: providing a platform for FP&A (financial planning and analytics), which didn’t really have a solution to address it at the time. “So we enabled that to beat the market.”
“They’re already investing so much time and money in their software, but they still don’t have analytics and insight,” said Gurfinkel.
That turned out to be fortunate timing, since “digital transformation” and getting more out of one’s data was really starting to get traction in the world of business, specifically in the world of SMEs, and CFOs and other people who oversaw finances were already looking for something like this.
The typical DataRails customer might be as small as a business of 50 people, or as big as 1,000 employees, a size of business that is too small for enterprise solutions, “which can cost tens of thousands of dollars to implement and use,” added Cohen, among other challenges. But as with so many of the apps that are being built today to address those using Excel, the idea with DataRails is low-code or even more specifically no-code, which means “no IT in the loop,” he said.
“That’s why we are so successful,” he said. “We are crossing the barrier and making our solution easy to use.”
The company doesn’t have a huge number of competitors today, either, although companies like Cube (which also recently raised some money) are among them. And others like Stripe, while currently not focussing on FP&A, have most definitely been expanding the tools that it is providing to businesses as part of their bigger play to manage payments and subsequently other processes related to financial activity, so perhaps it, or others like it, might at some point become competitors in this space as well.
In the meantime, Gurfinkel said that other areas that DataRails is likely to expand to cover alongside FP&A are likely to include HR, inventory, and “planning for anything,” any process that you have running in Excel. Another interesting turn would be how and if DataRails decides to look beyond Excel at other spreadsheets, or bypass spreadsheets altogether.
The scope of the opportunity — in the U.S. alone there are more than 30 million small businesses — is what’s attracting the investment here.
“We’re thrilled to reinvest in DataRails and continue working with the team to help them navigate their recent explosive and rapid growth,” said Yanai Oron, General Partner at Vertex Ventures, in a statement. “With innovative yet accessible technology and a tremendous untapped market opportunity, DataRails is primed to scale and become the leading FP&A solution for SMEs everywhere.”
“Businesses are constantly about to start, in the midst of, or have just finished a round of financial reporting—it’s a never-ending cycle,” added Oren Zeev, founding partner at Zeev Ventures. “But with DataRails, FP&A can be simple, streamlined, and effective, and that’s a vision we’ll back again and again.”
On the heels of expanding its marketing call analytics platform last year to provide more insights to help those in sales, e-commerce and customer experience, Invoca is making its first acquisition to widen the net of companies that it targets. The company has acquired DialogTech, a startup that builds tools for marketers to analyze inbound phone calls and other contacts, in what TechCrunch understands to be a $ 100 million deal.
As part of the transaction, Santa Barbara-based Invoca will be divesting Swydo, a company that Chicago-based DialogTech acquired in 2018. Swydo — originally from The Netherlands — will remain a partner of Invoca’s, the company said.
Invoca has up to now focused on larger consumer-facing enterprises — its customers include the likes of ADT, AutoNation, DISH, TELUS, and The Home Depot — providing them with an AI-based platform that lets their marketing, sales and other teams analyze calls from consumer customers and provide call tracking, coaching, and other insights in real time and in the form of post-call reports to help those teams do their jobs more easily.
Gregg Johnson, Invoca’s CEO and one of growing pool of Salesforce veterans that are reinventing the marketing and sales technology landscape, described DialogTech as “complementary” to what Invoca does, but will specifically help Invoca better target mid-market companies.
The opportunity that both Invoca and DialogTech have identified is that, despite the growth of digital media advertising, social media and other channels for brands to connect to would-be customers, inbound calls remain a very key part of how companies sell goods and services, especially when the sale is of a complex item.
“About 40% to 80% of revenues come through contact centers,” Johnson said. “Brands can do all the retargeting they want but the same strategies in digital don’t work there.”
For those working at the other end of the line, the need for tools to do their jobs better became even more pressing in the last year, a time when customers stayed home and away from physical stores, shifting all of their interactions to virtual and remote channels. Subsequently, they demanded and expected better levels of service there.
“This move enables us to be an even better partner to enterprises and agencies looking to optimize their marketing and drive sales,” said DialogTech CEO, Doug Kofoid, in a statement. “Together as Invoca, our combined company will deliver an unrivaled solution for conversation intelligence, with the most innovative technology, expertise, experience, and resources in our industry.”
The combined business will become one of the bigger “martech” startups focusing on conversational insights, with 2,000 customers, over 300 employees and on track to make more than $ 100 million this year in revenue. This is, however, just the tip of the iceberg: the conversational intelligence market was estimated to be worth some $ 4.8 billion in 2020 and is expected to balloon to nearly $ 14 billion by 2025.
Given how many startups we’ve seen launch in the name of better sales intelligence, it’s likely that this will not be the last piece of consolidation in the area. Combining to expand the functionality of a platform, or to expand the scale and reach of a business, or simply to bring on interesting tech that is easier to acquire than build from scratch, are three areas that will likely drive more M&A.
Invoca last raised funding in October 2019, a $ 56 million round just ahead of the world shifting into Covid-19 pandemic mode. Johnson confirmed that Invoca — which has to date raised $ 116 million from Accel, Upfront Ventures, H.I.G. Growth Partners, Morgan Stanley, Salesforce Ventures and others — is in a strong enough position as a business not to need to raise more for this acquisition.
However, I suspect that scaling up like this will help it bid for bigger money and a bigger valuation when it does, as will the fact that peers in the market like Gong (which Johnson described as the “B2B version of Invoca” to me) have seen their valuations catapult in the last year, spurred by the changes in how customers interact with businesses, and sales and marketing can work to better serve them.
Salespeople have more tools than ever these days to help them with their work, whether they are tools to source new leads, keep those leads interested or informed about what’s being sold, track how the sales process is going, manage those relationships once they are secured, or accounting tools to manage how and where sales are actually coming in. Today, a startup that’s built a platform to help manage the data entry that powers all of that is announcing a swift round of funding to build on momentum and interest in its technology.
Dooly — which has built a set of AI-based tools to automate the busywork that goes into updating data in sales software, specifically apps like Salesforce, in order to get the most out of that software — has closed $ 80 million in funding. Sources tell us that the money values the Vancouver-based startup at over $ 300 million.
This is a “swift” round in that efforts to raise and close the funding happened quickly, and come not two months after the company had announced a Series A and seed round totaling $ 20 million. (In fact, we got wind of this round a couple of weeks ago, so arguably it was less than two months since the previous announcement.)
This latest Series B is being led by Spark Capital, with Greenspring, Tiger Global, Lachy Groom, boldstart ventures, BoxGroup and Addition also participating. Several of these are repeat investors.
Investor interest in the company is coming in part because of what Dooly is adding to the bigger mix of sales tools; and in part because of the traction it has already picked up for that.
While there are indeed a number of apps that salespeople can use these days, that has presented something of a predicament for many salespeople: tending to the data in each of these, updating records and helping them tick along, can be a very time-consuming task that takes people away from doing what they do best.
That predicament has perhaps been heightened in the last year, as organizations push for “digital transformation” — investing in newer IT — to better adapt to workforces that are not in the office all the time, and in many cases haven’t been in an office together for a year and with some perhaps never to return again. That’s in many cases translated to using a ton more software to manage those people, what they do and how they engage with each other when in-person is not an option.
Dooly’s proposition is that it uses AI tools like natural language processing to let people take notes on meetings and other work, which it then intelligently can feed into other applications to let them work as they should.
Kris Hartvigsen, Dooly’s CEO himself, experienced these pain points firsthand as a top salesperson for a number of other companies, and this served as his motivation for building Dooly.
“This was born out of pain,” he said. “When I was in a previous role as a top sales performer, I was constantly in this mode that eroded my time. The headwinds now are for remote working, but not everyone is benefitting from this remote world as much as Zoom is. Some are finding it harder to hit their numbers so you want to spend more time, not less, speaking to customers.”
He describes his business as “the table cloth that goes over the table that no one wants to sit at” and more seriously, “a clean overlay to systems” that is very aware of the challenges salespeople face on a practical, operational level. “We are always mindful of thinking of workflows that hinder users from peak value mode.”
The the app, in his words, “plays nice” with a number of services to ingest information — these, for example, include tools like Gong that among other things monitor voice-based sales calls to provide real-time feedback and transcripts) — as well as those that are used to record what is going on, like Salesforce. It also integrates with Slack and G-Suite and other popular apps.
Then, in addition to being able to use and populate relevant data easily across multiple apps, Dooly also provides some guidance, based on the data it is seeing, to give suggestions on closing deals.
This is music to many salespeople’s ears, it seems. It now has some 500 businesses as customers, and says the list includes revenue teams at Asana, BigCommerce, Contentful, Figma, Intercom, Lessonly, Procore and more.
Up to now, the company has been growing organically, through word-of-mouth — which is perhaps the best kind of sales pitch and success that any company can hope for. Ironically, now that its model has been well proven out, it will quite possibly be using its own tools to expand its reach even more.
“Dooly is building one of the most consequential enterprise companies of the next decade,” said Will Reed, a general partner at Spark Capital. “We are thrilled to support Dooly as it continues to power the most forward-thinking revenue teams, and believe it will ultimately define the connected workspace category via its relentless focus on customers and product-led growth.” Reed is joining the board with this round.
Organizations spend ungodly amounts of money — millions of dollars — on business intelligence (BI) tools. Yet, adoption rates are still below 30%. Why is this the case? Because BI has failed businesses.
Logi Analytics’ 2021 State of Analytics: Why Users Demand Better survey showed that knowledge workers spend more than five hours a day in analytics, and more than 99% consider analytics very to extremely valuable when making critical decisions. Unfortunately, many are dissatisfied with their current tools due to the loss of productivity, multiple “sources of truth,” and the lack of integration with their current tools and systems.
A gap exists between the functionalities provided by current BI and data discovery tools and what users want and need.
Throughout my career, I’ve spoken with many executives who wonder why BI continues to fail them, especially when data discovery tools like Qlik and Tableau have gained such momentum. The reality is, these tools are great for a very limited set of use cases among a limited audience of users — and the adoption rates reflect that reality.
Data discovery applications allow analysts to link with data sources and perform self-service analysis, but still come with major pitfalls. Lack of self-service customization, the inability to integrate into workflows with other applications, and an overall lack of flexibility seriously impacts the ability for most users (who aren’t data analysts) to derive meaningful information from these tools.
BI platforms and data discovery applications are supposed to launch insight into action, informing decisions at every level of the organization. But many are instead left with costly investments that actually create inefficiencies, hinder workflows and exclude the vast majority of employees who could benefit from those operational insights. Now that’s what I like to call a lack of ROI.
Business leaders across a variety of industries — including “legacy” sectors like manufacturing, healthcare and financial services — are demanding better and, in my opinion, they should have gotten it long ago.
It’s time to abandon BI — at least as we currently know it.
Here’s what I’ve learned over the years about why traditional BI platforms and newer tools like data discovery applications fail and what I’ve gathered from companies that moved away from them.
The inefficiency breakdown is killing your company
Traditional BI platforms and data discovery applications require users to exit their workflow to attempt data collection. And, as you can guess, stalling teams in the middle of their workflow creates massive inefficiencies. Instead of having the data you need to make a decision readily available to you, instead, you have to exit the application, enter another application, secure the data and then reenter the original application.
According to the 2021 State of Analytics report, 99% of knowledge workers had to spend additional time searching for information they couldn’t easily locate in their analytics solution.
Earlier this year, TikTok made an update to its privacy settings and defaults to further lock down the app for its teenage users. This morning, Instagram followed suit with teen-focused privacy updates of its own. But the Facebook-owned social app didn’t choose to add more privacy to teen accounts by default, as TikTok did — it largely made it more difficult for adults to interact with the app’s teen users.
The company said it’s rolling out new safety features that would restrict adult users from being able to contact teens who didn’t already follow them. The exception to this rule would still allow the teen to interact with adult family members and other trusted adults on the platform, like family friends. In the case that an adult tried to DM a teen who didn’t follow them, they’d receive a notification informing them this wasn’t possible.
And if the teen has already connected with an adult and is DM’ing with them, they’ll be notified if that adult is exhibiting suspicious behavior — like sending a large amount of friend requests or messages to users under 18. This tool will also then allow the teen to end the conversation, block, report or restrict the adult from further contact.
In addition, Instagram said it will make it more difficult for adults to find and follow teens in other places within the Instagram app, including Explore, Reels and more. This will include restricting adults from seeing teen accounts in the “Suggested Users” section of the app, as well as hiding their comments on public posts.
The company also noted it’s developing new AI and machine learning-based technology that would make it possible to find teens lying about their age on the app. This could result in these features being applied, even if the teen in question had lied about their birth date when signing up for the app, but the technology isn’t fully live yet.
Other additions rolling out as part of today’s updates include new safety resources for parents in the app’s Parents’ Guide and educational material for teens that will better explain what it means to have a public account on the app, and encourage them to choose private options.
The launch timing here is notable, as TikTok has recently focused on making its platform safer for teens — not only with the changes to its default settings, but also with the addition of parental controls last year. The company last year took the unusual step of bundling a parental control mechanism directly into its app that lets a parent link to a child’s TikTok account to control their profile’s privacy, what they’re allowed to do on the app and even which feed they can view. The company has continued to expand these controls following their launch, indicating that it considers these core features. By making privacy and parental controls a key part of the experience, the app is more likely to be blessed by parents who would otherwise restrict their teens’ social media access — and that helps TikTok grow its user base and teens’ time spent in the app, sometimes at Instagram’s expense.
Early Stage is the premier “how-to” event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included for audience questions and discussion. Use code “TCARTICLE at checkout to get 20% off tickets right here.
- The 25 Best Family Board Games (2022): Cascadia, Labyrinth, and More
- Balancing paid and organic search strategies for optimum success
- 17 Best Apple Deals: iPads, MacBooks, Apple Watches and AirPods
- Apple Music Sing Adds ‘Karaoke Mode’ to Streaming Songs
- 10 Ways Machine Learning Can Transform Your Business