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Elon Musk Outlines Roadmap for ‘Twitter 2.0’ in New Slide Deck

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Elon Musk Outlines Roadmap for ‘Twitter 2.0’ in New Slide Deck

Elon Musk has provided some more insight into his evolving plan for Twitter, which will now also see the company embark on a hiring push, after firing 65% of its workforce, in order to get in more development and engineering talent to help realize Musk’s grand vision.

And with that, Musk has put together a new pitch deck, of sorts, which aims to clarify his current plan. Which, as noted, is evolving quickly, so it may end up being totally different, it may be indicative – we don’t know for sure as yet.

But he is slowly clarifying and honing in on specific elements.

Here’s a look at the collection of slides that Musk has put together to present his current strategic outline for the app.

As you can see in this first slide, Musk’s presentation shows that new account sign-ups are at an all-time high, with the chart going back to 2014.

I’m not sure what that means in isolation. Definitely, that could mean that more people are keen to get in on Twitter conversation, and with Facebook getting stale, and Instagram suffering an identity crisis, Twitter is seemingly becoming a more interesting consideration.

But it would also be worth noting where these new sign-ups are coming from. Are these US users, maybe freedom of speech-ers signing up to Elon’s new, more open public square? Are these users in developing markets, as has been Twitter’s predominant growth trend for the past three years, as US usage has stagnated?

Could this be scammers signing up for a lot more accounts very quickly – because in order to qualify for Twitter Blue, and get a blue checkmark, accounts will have to have been active for at least 90 days prior?

It’s a stat, for sure, but without further context, it’s hard to make any conclusion on what it means.

The next chart is User Active Minutes, which is also at an all-time high.

Elon Musk Twitter Plan

That is interesting – based on this chart, divided by the current number of active users, which Musk has also shared, the average Twitter user is now spending 31.5 minutes per day in the app.

Elon Musk Twitter Plan

That’s not radically different than what’s been previously reported, though some reports have suggested Twitter usage has declined significantly in recent times. These numbers actually reinforce that, with Twitter’s session time down in the low teens (seemingly) till 2021, then rising again of late – though I suspect the lower chart is supposed to say ‘November 2022’ at the bottom right.

Basically, the data shows that Twitter is back at its previous usage levels, after losing its way for some time. Which is not surprising given Musk’s capacity to spark controversy and discussion.

There are also some more questionable charts that show a decline in hate speech:

Elon Musk Twitter Plan

Note that the qualifier here is tweets ‘with 1+ slur’ from a curated list, and a ‘Toxicity score’ of 0.91 or higher. This is a little vague and lacks the full context of what this represents.

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Elon Musk Twitter Plan

Which just shows that a lot more people were engaging in impersonation in the app when Twitter started allowing them to buy Blue verification ticks, then, when Twitter pulled the $8 verification plan, fewer impersonations were reported.

Like, yeah, you opened the door for them to scam people with misleading verified accounts, so they took advantage, and now they’re not, because they can’t. At least until Twitter re-launches the $8 verification plan next week.

Musk then also shared this overview of his current roadmap, which is pretty much a re-angling of Twitter’s current features.

Elon Musk Twitter Plan

‘Advertising as entertainment’ uses an example of an automated sampling script to create a more engaging ad experience (‘like this tweet and I’ll show you which house you belong to based on your tweets’). Not sure if Musk is suggesting that this is something Twitter will be offering as an ad tool, but thus far, these types of activations have been created by brand partners, in collaboration with Twitter. If Twitter does move to make this an actual ad feature, that could be difficult to scale.

Note that Twitter also released Branded Likes, a related ad engagement option, back in June.

The next frame, as you can see, just says video with a randomized example

Not sure exactly what this means, but Musk has flagged allowing longer video clips to be attached to tweets, while he’s also talking about a creator monetization program, which would offer a more beneficial revenue share than YouTube’s 45/55 split.

Musk also points to Twitter’s soon-to-be-launched encrypted DMs, which app researcher Jane Manchun Wong has discovered are being built on the Signal Protocol.

Elon Musk Twitter Plan

Encrypted DMs are fast becoming the standard, with Meta also integrating full encryption across Messenger, Instagram Direct and WhatsApp. That’s raised the hackles of many law enforcement groups, who say that this will offer protection for criminals, but it will also provide more security, and assurance, for general users.

There’s also Longform Tweets, for which Musk has shared a screenshot of Twitter Notes, which has been in development over the past year.

Notes enables you to create posts of up to 2,500 words, which are then natively embedded into the Twitter app for easy sharing.

Then there’s the revamped $8 verification plan, which I’ve shared my thoughts on here.

Elon Musk Twitter Plan

Oh, and payments:

Elon Musk Twitter Plan

No examples here, but based on Musk’s previous statements, it seems like he’s looking to follow the same game plan with payments that various other apps have already tried. You start off by facilitating funds transfers between accounts, enabling fee-free remittance, a key benefit in developing markets. Then, once people are already moving money in the app, you offer more ways to use it, via in-app purchases, bill payments, banking, etc.

This is Musk’s big, overarching plan to make Twitter a more critical app – but as noted, various others have tried, and the regulatory hurdles alone have made it a nightmare to enact.

Maybe Musk will have better luck in moving things forward, but it’s a big challenge, which will take time – which is also why there’s no example image for this as yet.

Of course, the mention of payments will also fire up all the crypto enthusiasts, who view Musk as a key leader in mainstreaming crypto payments. That definitely won’t be happening, but I suspect that this is another reason why Musk has left this slide blank, to offer a glimmer of hope to his fanatical fan base.

Which is what Elon does best. Question his business and intellectual acumen all you want, but he sure does know how to get attention, which is really the most valuable, tangible skill that he brings to any project. He’s a walking PR machine, who’s now been given the keys to his own platform millions of users, and it’s pretty clear that he’s enjoying the attention he now commands as Twitter-in-chief.

The next question then is, how many media tricks does Elon have up his sleeve?

He’s enabling everyone to buy a blue tick, he’s brought back Trump, he’s unbanning a heap of previously banned accounts, all under the guise of facilitating free speech.

Each of these actions has sparked its own media cycle, and brought a heap more attention to Musk and Twitter as a result, but when the stunts run out, what then?

Can Musk keep coming up with more attention-grabbing changes at the app, or will this roadmap actually lead to a more sustainable business, enabling him to stop grabbing headlines, and leave Twitter to its own devices?

In essence, that’s what these usage charts show, that Musk is really good at getting attention.

But it’s what comes after that will make or break the business.

Oh, also, someone has suggested that the tweet character count should be expanded to 420 instead of the current 280. Given Musk’s affinity for this number, that’ll probably happen.



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Publicis Performance Marketing Unit Acquires Influencer Platform Perlu 01/30/2023

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Publicis Performance Marketing Unit Acquires Influencer Platform Perlu 01/30/2023

Publicis Groupe-owned performance marketing agency CJ, which specializes in affiliate marketing, has acquired Perlu, a Syracuse, New York-based influencer networking and technology platform.
Perlu’s platform enables companies to activate, network, and collaborate with a community of influencers.   

Perlu will initially retain its name and organization as it is
integrated …



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Reports Show that Facebook Usage is Up, as Meta Continues to Develop its AI Targeting Models

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Reports Show that Facebook Usage is Up, as Meta Continues to Develop its AI Targeting Models

While Facebook is no longer the cool app, especially among younger audiences, it remains a key platform for many users, and its capacity to keep people updated on important updates from friends and family is likely to ensure that many continue to return to the app every day for some time yet.

But more than that, Facebook usage is actually increasing, according to internal insights viewed by The Wall Street Journal, which also include some interesting notes on overall Facebook and Instagram usage trends.

As per WSJ:

Data gathered in the middle of the fourth quarter showed that time spent on [Facebook] was up worldwide, including in developed markets, over the course of a year.”

Which seems unusual, given the subsequent rise of TikTok, and short form video more generally. But actually, Facebook has been able to successfully use the short-form video trend to drive more usage – despite much criticism of the platform’s copycat Reels feature.

Indeed, Reels consumption is up 20%, and has become a key element in Meta’s resurgence.  

How is it finding success? Increased investment in AI, which has driven big improvements in the relevance models that fuel both Reels and its ads, which are also now driving better response.

On Reels, Meta’s systems are getting much better at showing users the Reels content that they’re most likely to be interested in. You’ve likely noticed this yourself – what was initially a mess of random clips inserted into your Facebook feed has now become more focused, and you’re probably finding yourself expanding a Reels clip every now and then, just to see what it’s about.

Reels has actually been too successful:

“Because ads in Reels videos don’t currently sell for as much as those sold against regular posts and stories, Reels’ growing share of content consumption was denting ad revenue. To protect the company’s earnings, the company cut back on promoting Reels, which lowered watch time by 12%.

So again, while Meta has been criticized for stealing TikTok’s format, it’s once again shown, just as it did with Stories, that this is a viable and beneficial pathway to keeping users engaged in its apps.

You might not like it, but replication works in this respect.

But for marketers, it’s likely the development of Meta’s AI targeting tools for ads that’s of most interest.

Over time, many performance advertisers have been increasingly recommending that marketers trust Meta’s AI targeting, with newer offerings like Advantage+ driving strong results, with far less manual targeting effort.

Advantage+ puts almost total trust in Meta’s AI targeting systems. You can choose a couple of targeting options for your campaigns, but for the most part, the process is designed to limit manual impact, in order to let Meta’s systems determine the right audience for your ads.

Which may feel like you’re ceding too much control, but according to Meta, its continued AI investment is now driving better results.

Heavy investment in artificial intelligence tools has enabled the company to improve ad-targeting systems to make better predictions based on less data, according to the interviews and documents […] That, along with shifting to forms of advertising less dependent on harvesting user data from off its platforms, are key to the company’s plans to overcome an Apple privacy change that restricted Meta’s capacity to gather information about what its users do outside its platforms’ walls, the documents show.”

That’s likely worth considering in your process, putting more trust in Meta’s targeting systems to drive better results. At the least, it may be worth experimenting with Meta’s evolving AI for ad targeting. 

It’s not all good news. Meta also notes that while time spent in its apps is on the rise, creation and engagement is declining, with fewer people posting to both Facebook and Instagram than they have in the past.

That’s particularly true among younger audiences, while notably, usage of Instagram Stories is also in decline, down 10% on previous levels.

So while Meta is driving more engagement from Reels, which draws on content from across the app, as opposed to the people and Pages you follow, that’s also led to a decline in user posting.

Is that a bad thing? I mean, logically, engagement is important in keeping people interested in the app, and Meta also relies on those signals to help refine its ad targeting. So it does need users to be sharing their own content too, but if it can get more people spending more time in its apps, that will help it maintain advertiser interest.

In essence, despite all of the reports of Facebook’s demise, it remains a key connective platform, in various ways, while Meta’s improving ad targeting systems are also helping to drive better results, which will keep it as a staple for brands moving forward.

If you were thinking of diversifying your social media marketing spend this year, maybe don’t reduce Facebook investment just yet.

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Effective Ways To Personalize Your Customer Touch Points Even More In 2023

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Effective Ways To Personalize Your Customer Touch Points Even More In 2023

Will 2023 be the year of personalization? Consumers hope so. For the past two years, shoppers have been craving the personal touch: In 2021, McKinsey & Company noted that 71% of customers expected companies to deliver personalization. In 2022, a Salesforce survey found that 73% of people expected brands to understand their needs and expectations. So, this year is looking like one where personalization can no longer be seen as a “nice to have.”

The problem, of course, is how to get more personalized. Many companies have already started to dabble in this. They greet shoppers by name on landing pages. They rely on CRMs and other tools to use historical information to send shoppers customized recommendations. They offer personalized, real-time discounts to help buyers convert their abandoned shopping cart items to actual purchases.

These are all great ideas. The only problem is that they’ve become widespread. They don’t move the needle on the customer experience anymore. Instead, they’re standard, expected, and kind of forgettable. That doesn’t mean you can afford to stop doing them. It just means you must devise other ways to pepper personalization throughout your consumer interactions.

If you are scratching your head on how to outdo 2022’s personalization in 2023, try implementing the following strategies:

1. Go for full-blown engagement on social media.

One easy way to give the personal touch is through your social media business pages. Social media use just keeps growing. In 2022, there were about 266 million monthly active users (or MUAs) on Facebook, one billion on Instagram, and 755 million on TikTok. Not all these active users will fall into your target audiences, but plenty of them will.

Make engaging with your social followers one of this year’s goals. People spend a lot of time on social media. It’s where many of them “live,” so it only makes sense that it should be a place to drive personalization.

One quick way to ratchet up your company’s personal touch on social media is to personalize all your retargeted ads. Quizzes can also offer a chance for personalization. Simply set up an engaging quiz and allow people to share their results. It’s a fun way to build brand recognition and bond with consumers. Of course, there’s nothing wrong with going very personal and answering all comments. Depending on your team’s size and the number of comments you receive, this might be a viable option.

2. Leverage AI to go beyond basic demographics.

Most companies rely on customer demographic information to bolster personalization efforts. The only trouble with this tactic is that demographics can’t tell the whole story. It’s impossible to get a lot of context about individual users (such as their lifestyles, personal preferences, and motivators) just from knowing their age, gender, or location. Though demographic data is beneficial, it can cause some significant misses.

Michael Scharff, CEO and cofounder of Evolv AI, explains the workaround for this problem: “The most natural, and therefore productive, personalization efforts use demographics as a foundation and then layer in user likes, dislikes, behaviors, and values.”

You can leverage AI’s predictive and insightful capabilities to uncover real-time user insights. Scharff recommends this technique because it allows you to stay in sync with the fast-moving pace of consumer behavior changes. He adds that AI can be particularly beneficial with the coming limits to third-party cookie access because it can be a first-party data source, allowing you to maintain customer knowledge and connection.

To flesh out your organization’s strategy, look to other companies that have gone beyond demographics. Take Netflix, for example, which constantly tweaks its AI algorithm to help improve personalized content recommendations. Bottom line? Going deeper than surface information makes all the sense in the world if you want to show customers you know them well.

3. Keep your data spotless.

The better your data, the better your personalization efforts. Period. Unfortunately, you are probably sitting on a lot of unstructured or otherwise tricky-to-use (or impossible-to-use) data. One recent Great Expectations survey revealed that 77% of data practitioners have data quality problems, and 91% say that this is wreaking havoc on their companies’ performance.

You can’t personalize anything with corrupt or questionable data. So, do your best to find ways to clean your data promptly and routinely. For example, you might want to invest in a more centralized data system, particularly if the personalization data you rely on is scattered in various places. Having one repository of data truth makes it easier to know if the information on hand is ready to use.

Another way to tame your data is to automate as many data processes as possible. Reducing manual manipulation of data lessens the chance of human error. And you’ll feel more confident with all your personalization efforts if you can trust the reliability and health of your data.

4. Go for nontechnical personalization.

It’s the digital age, but that doesn’t mean every touchpoint has to be digitized. Consumers often react with delight and positivity when they receive personalization in decidedly nontech forms. (Yes, you can use tech to keep track of everything. Just don’t make it part of the actual personalized exchange!)

Consider writing handwritten thank-you notes to customers after they’ve called in for support or emailed your team, for instance. Or send an extra personalized gift to buyers who make a specific number of purchases. These interactions aren’t technical but can differentiate your customer experience from your competitors’ experiences.

A groundbreaking Deloitte snapshot taken right before the pandemic showed that people were hungry for connection. By folding nondigital experiences into your personalization with customers, you’re showing them that you see them first as valued humans. That’s compelling and appealing, making them more apt to give you their loyalty in return.

Putting a personal spin on all your consumer interactions takes a little time. It’s worth your energy, though. You’ll wind up with stronger brand-buyer connections, helping you edge ahead of your competitors even more.

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