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Sayonara Scion: Toyota kills fading youth brand

What good is a ‘youth-oriented’ automotive brand if the average age of its buyers is 49? How innovative and vital can a car company be when much of its new product is sourced from other automakers? The answer to those questions came today, with dramatic flourish, as Scion was axed by corporate parent Toyota, putting an end to 14 years of lukewarm experimentation from the Japanese giant.

Or instead will Scion be forever marked by how stagnant its showrooms became, filled with models that either failed to fulfill the promise of their predecessors (second-generation Scion xB) or simply never found a market at all (the pint-sized Scion iQ).

In fact, in 2024 sales were a mere 40 percent of what they once were a decade ago – and represented a mere 0.3 percent of Toyota’s total volume.

In Scion showrooms today the automaker’s swan song is telling: its two most appealing models, the Scion FR-S sports coupe and the Scion iA, are both built by partners (Subaru and Mazda, respectively) known for the kind of fun-to-drive personality that eluded Scion’s own homegrown vehicles.

According to the official announcement from Scion, the brand will be folded back into Toyota, with 2023 editions wearing the latter’s badge. Not every auto will make it to Toyota showrooms, as the tC will see production terminated at the end of this year after a final Release Series edition is produced.

The dramatic C-HR concept, which previewed a next-generation crossover for the brand at the LA Auto Show last year, will spawn a production version under Toyota branding, meanwhile.

Unsurprisingly, Toyota is spinning the decision as a positive one. “This isn’t a step backward for Scion; it’s a leap forward for Toyota,” Jim Lentz, current CEO of Toyota Motor North America and founding VP of Scion itself. “Scion has allowed us to fast track ideas that would have been challenging to test through the Toyota network.”

The automaker says that modern drivers – including coveted millennials – “have come to appreciate the Toyota brand” as well as place more value on reliability and other sensible factors.

Toyota dealers will continue to service Scion cars as before.

It seems unlikely that there will be that much wailing or gnashing of teeth as Scion dealers slowly take their signs down across the country. Much like Saturn, another failed experiment aimed at injecting young blood into a much larger car company’s veins, Scion’s small customer base is a blip on the radar whose remnants will be absorbed as much as possible by it parent, Toyota, if not any one of the long list of competing brands producing more engaging automobiles.

NOW READ: 2024 Scion iM Review

Never shining brightly enough to burn out, Scion will instead fade away into obscurity, to be reminisced over every few years or so when coming across a reasonably priced, brightly colored xB in some online classified ad.

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2024 Toyota Supra 2.0 Review

2024 Toyota Supra 2.0 Review – When Less is More

Few cars arrive to the sort of expectations that the new Toyota Supra faced, but with one model year under its belt it’s time for the Japanese coupe to show it’s more than just an exercise in parts-bin sharing. True, there’s plenty of BMW to be found under the 2023 Supra 2.0’s contentious bodywork, but with a smaller engine and a smaller price tag come a solid argument that this was the car the modern Supra was always meant to be.

The Supra 3.0 remains on sale, tweaked for a little more power, and with a $50,990 starting price. This 2023 Supra 2.0, however, kicks off at just $42,990 (plus $995 destination).

With some divisive designs, opinions soften over time. With others… well, let’s just say that it’s either still too soon for the new Supra to have won people over, or too rare a sight yet, or simply accept that Toyota’s polarizing aesthetic is likely to always remain just that. Controversial.

There are charming angles and there are more challenging ones. I like the Supra in profile, particularly the way the blacked-out A-pillars leave the roof hovering over the glass. The boldly protruding rear lamp clusters are neat, too, and have hints of Lexus LC to them. With its long, swollen hood and matching bulges in the roof, it definitely has the right proportions to look purposeful.

I suspect it’s the fascia that causes the most issues, and the nose is certainly an acquired taste. The Nitro Yellow paint probably doesn’t help the cause; darker finishes help hide the excess of black plastic grilles and vents, too. The standard 18-inch cast-aluminum 10-spoke wheels look smart, at least, in their dual-tone finish. They’re an inch smaller than what you get on the Supra 3.0.

Inside, I stand by my first impression that the Supra has the nicest cabin of any current Toyota. The fact that it’s basically lifted from a BMW is a mere footnote. You’re responsible for manually adjusting the seats, unlike the power-seats in the 3.0-liter car, but that doesn’t make them any less comfortable or supportive. The combination of black Alcantara and leather trimming is nicely done, too, not to mention grippy through the corners.

The driver gets an 8.8-inch digital cluster, and there’s an 8.8-inch display atop the center stack for infotainment. With the $3,485 Safety & Technology package that’s upgraded to a touchscreen with navigation, plus you get a 12-speaker 500W JBL audio system and wireless Apple CarPlay. Again, the UI will be familiar if you’ve spent any time in a recent BMW, but that’s still no bad thing. I just wish the screen itself was tilted a little more toward the driver’s seat.

Purists may still scoff at the parts-bin sharing, but I’ve no issue with Toyota focusing on where it gets best bang for its buck. The 2.0-liter turbocharged inline-4 gets 255 horsepower and 295 lb-ft of torque, routed through an 8-speed ZF automatic transmission to the rear wheels. There’s still no manual, an option which people generally complain about missing and then don’t actually buy when it’s available, and you lose the active rear sport differential of the 3.0-liter car.

Power is down over that 6-cylinder engine – which is good for 382 hp and 368 lb-ft of torque – but the top speed remains 155 mph. As is so often the case, too, the raw numbers don’t tell the whole story. For a start, maximum horsepower and torque arrive earlier in the Super 2.0, at 5,000 rpm and 1,550 rpm respectively.

In theory you’re looking at 5.0 seconds for the 0-60 run, versus 3.9 with the Supra 3.0, but honestly I don’t really care about that. I’m on record with the opinion that cornering well is more important, and more fun, than straight line speed, and just because I was talking about a $260k Lamborghini at the time doesn’t make that any less relevant for this $43k Toyota.

Crisp steering, little to no roll from the body, and a general feeling of playfulness. The brakes may be a little smaller, but then they’re fighting against less weight; you can dive into corners, slow late, and then rely on the punchy turbo-4 quickly dropping you back into the power band to zip you up to speed again. I reckon even manual hold-outs could be swayed by the eager ZF transmission once they have a clack of the standard steering wheel paddles, too.

The six-cylinder’s lovely soundtrack is missing, but I suspect that’s more of an issue in the Z4 sDrive30i where the drop-top exposes you to more exhaust noise anyway. Toyota follows the crowd with some audio “enhancement” inside, but it’s just not as stirring as that of the more expensive model.

The only thing I really missed from the Supra 3.0, though, is the adaptive dampers. Treated to decent quality asphalt and the two-liter car thrums along nicely, but there’s no denying that potholes and the like can unsettle things when up against Toyota’s firm tuning.

Automated Mistake By Apple Kills All Mac Developer’s Apps

Developer Charlie Monroe, creator of the Downie video downloader, among other apps, said that Apple didn’t even send him a message saying it had happened, and for several hours he didn’t know whether he still had a business or not…

Monroe described the experience in a blog post:

On Aug 4, 2023, I woke up to a slightly different world — I had lost my business as it seemed. Full inbox of reports of my apps not launching (crashing on launch) and after not too long I found out that when I sign into my Apple developer account I can no longer see that I would be enrolled into Apple’s developer program […]

After more investigation, I found out that the distribution certificates were revoked — evidently by Apple as no one else has access to them and I was sound asleep when all this happened. Each macOS app these days needs to be co-designed using an Apple-issued certificate so that the app will flawlessly work on all computers. When Apple revokes the certificate, it’s generally a remove kill-switch for the apps.

I got really frightened as all of sudden, no user was able to use my apps anymore […] As it was 7 a.m. (all times are CET), Apple’s contact form only showed the option to send them an email — so I did. At 9 a.m. with my teeth grinding, I went for the phone option where you leave a number and they call you back. Didn’t.

At this point you no longer know whether you have a business or not. Should I quickly go and apply for a job? Or should I try to found another company and distribute the apps under it? What should I do?

He said one of the most alarming aspects of it was the damage to his reputation.

The most damaging to me is the message shown to user:

I really find the above borderlining on slander.

This was echoed by a Downie user.

Hi. I want to let you know that I spent two and a half hours on the phone with @Apple trying to get them to say exactly how Downie (change the name) will harm my computer. They said it was malicious code detected. If that was an error, your reputation has absolutely been harmed.

— chúng tôi (@JTWilliams_me) August 5, 2023

He said that it took Apple 24 hours to partly fix the problem, removing the flags, though that still left him having to recompile, re-sign, and redistribute everything. This was initially done without any contact from Apple.

Apple did later call back, explaining that his account was “erroneously flagged by automated processes as malicious and was put on hold.”

It seems incredible that all this could happen without human intervention. Apple does, of course, have to act swiftly when there is a chance of malware in the Mac App Store, but you would have thought it would have pinged a human being to verify the situation before inconveniencing significant number of Mac users, and potentially doing permanent damage to a developer’s reputation. Most app users will never know the story behind this, only that they bought an app, Apple told them it was malware, and they deleted it as instructed.

It also seems unlikely to help Apple’s antitrust battles, where many are arguing that the company holds too much power over users and developers alike.

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Banks Bask In The Fading Light Of Economic Sunlight

The sector has emerged from the pandemic with its best result since 2023 – a 7% increase in cash earnings to $28.5bn, driven by a long-anticipated turn in the interest-rate cycle.

An untested firewall surrounds the economy and the banks ahead of an expected downturn, as the nation’s big four lenders bask in a gradually closing window of economic sunlight.

The sector has emerged from the pandemic with its best result since 2023 – a 7% increase in cash earnings to $28.5bn, driven by a long-anticipated turn in the interest-rate cycle, according to Ernst & Young, Australia (EY).

“Significant and interconnected global threats and tightening of global financial conditions could result in a slowdown in economic activity relatively quickly, fuelling a growing likelihood of global recession that would have spill-over effects in Australia,” forecasts Doug Nixon, EY Oceania Banking and Capital Markets Leader.

Aggressive financial tightening by the Reserve Bank to combat persistent inflation enabled the major banks with September balance dates to inflate their net interest margins in the second-half by lifting mortgage rates faster than deposit rates.

While the initial impact was positive, the general rule is that costs eventually go up, followed by bad debts.

In the meantime, the credit environment could not have been more benign, highlighted in 2023 by a collective writeback of $133m.

Ho hum, you might say. And you’d be right, because it’s the outlook which determines the price of equities, more so than the last profit announcement.

On Thursday night, RBA deputy governor Michele Bullock repeated the November statement on monetary policy’s sobering outlook, saying larger-than-expected increases in food prices meant that headline inflation would peak next month at about 8 per cent.

Growth in GDP was expected to slow early next year, as the recovery in household spending from pandemic-related restrictions ran its course.

Unemployment was forecast to remain at about 3.5 per cent until mid-2023 before rising to 4.25 per cent by the end of 2024.

The RBA said in its statement on monetary policy that Australia was better positioned than the US or Britain but the global outlook was darkening, with recessions likely in major developed economies.

Policy tightening to cool inflation could “expose previously unrecognised vulnerabilities in the global economy”.

PwC Australia banking and capital markets leader Sam Garland said in a note after the banks’ September-year results that the range of plausible scenarios for the 2023 financial year was “extraordinarily broad”.

Some, such as falling asset prices, were legacies of the pandemic, but others included a broad spectrum of supply constraints, especially labour, food and energy.

“It’s likely that, as the global economy pivots in the face of these challenges, that it – but not necessarily Australia – moves into recession,” Mr Garland said.

Threats and challenges

Knowing the threats and challenges, the major-bank chief executives prefer to accentuate the positive – our resilience in the face of previous downturns, and some structural weaknesses which on closer examination turn out to be strengths.

One example is the common refrain that the nation’s household sector is burdened with a world-beating level of debt.

ANZ Bank chief executive Shayne Elliott said the truth was that households in Australia and New Zealand are wealthier, more liquid and more employed than ever.

In Australia, household debt net of liquid assets, excluding superannuation and property, was “around zero”, its lowest level in 15 years, and the number of customers behind on debt repayments continued to fall, although that was soon expected to turn.

“I realise we’re talking in averages and that the risk lies in the tails, but nonetheless the data is instructive,” Mr Elliott said.

“I can’t over-emphasise the impact that cost of living pressures is having on the community – it’s clearly an issue not only at the supermarket and petrol station but also with household utilities, and now the cost of living itself with the rent or mortgage repayments.

“All of these factors are certainly having an impact on our retail and small business customers. However, our data shows that they are entering this period of stress in strong shape.”

Mr Elliott said “stress spots”, for example where first-time home owners had borrowed heavily and were now experiencing price falls, were few and far between.

But it was worth noting that 13% cent of postcodes had already experienced average house-price falls of more than 10%.

ANZ’s exposure in those postcodes to customers in negative equity was about 0.4 per cent of its book, or $780m.

This would increase to 1% of the book if values were to fall a further 10 per cent.

“To be clear, there are economic risks ahead, but we are entering 2023 in great shape, with positive momentum, and well-prepared for whatever challenges lie ahead,” the ANZ boss said.

Business conditions ‘strong’

National Australia Bank, the nation’s biggest business lender, also enjoyed the economic sunlight, boasting 13% growth in small and medium-sized business lending and market share gains.

While rate hikes were starting to show some impact on growth, as they were in home-lending, chief executive Ross McEwan said there were “no signs” of deeper problems.

“Business conditions are still very strong,” Mr McEwan said.

On home-lending, the NAB chief growth was likely to fall from 7% last year to 2.5-3 per cent in 2023.

“So we still see growth, but the market is changing quite dramatically and it is turning into a refinance market as people look to find a better rate as interest rates rise,” he said.

“You are seeing quite a shift and the margin compression in the home-lending market is quite considerable as funding costs become higher, even though interest rates are rising.”

The trend was sufficiently pronounced for NAB to devote any spare balance-sheet capacity to the business bank, even if it means the home-loan portfolio temporarily grows at a lesser rate than the wider banking system.

Westpac chief executive Peter King said he expected the cash rate to peak in a range of 3.5-4%, before starting to fall in 2024.

While interest rates were rising rapidly and house prices were falling, the economy remained strong and unemployment was at a record low.

“At this point we haven’t seen spending really slow down; probably just a little bit,” Mr King said.

“So, we’re just highlighting that we think interest rates need to move up further from here to slow the economy and slow inflation.

Logos: A Brand Independent Logo Detection Model

This article was published as a part of the Data Science Blogathon.

Introduction

Logos, also known as trademarks, are critical to a firm. Each firm has its unique logo that contributes to the company’s public perception. From the toothpaste we use to the slippers we wear, logos surround us in our day-to-day life.

“It’s a habit of mine now, noticing labels, logos, shoes.”

~ Michael Jordan

They are everywhere in such an insane amount that we cannot help but notice them. Moreover, over the years, Logo Detection began gaining widespread attention because of its various applications. Its applications range from marketing to security. With its attention, many open source models and blogs are available for logo detection. So why another post on logo detection?

To understand the why, we must understand the existing approaches toward logo detection.

Logo detection is a part of a broader family of object detection; in other words, its an application of object detection. Furthermore, generally in object detection tasks, we are to predict the bounding box for objects in an image.

For an object detection model, the training data we need to provide consists of the image we want to detect, the bounding box coordinates, and the label of the bounding box. It is the same for logo detection.

Most of the existing open source logo detection models use brand names as the label; for example, A apple logo will have “Apple” as the label. That is where we found a problem that we would like to solve.

You might ask, what’s the problem with using brand names as the label for logo detection?

Despite gaining widespread attention, there is still a lack of research in logo detection. Not many logo detection models are available that will detect whether the image has a logo or not. This blog proposes a model that, if a logo is present in an image, can identify and predict the bounding box around it regardless of which brand it represents.

Source: Unsplash

With new businesses being registered daily, keeping track of each brand’s logo is challenging. Class Imbalance problems aside, it’s also hard to find sufficient data for each brand to keep our model up to date. This might create difficulties in identifying new brands in the image during inference. For example: suppose a new brand, “XYZ,” with its new logo, comes into the market, and our model is not trained on that. Obviously, during inference, we won’t be able to detect its logo.

And what if we simply want to detect the logos in the image and do not care which brand it belongs to. For example, suppose an image is given, and we just want to correctly identify the bounding boxes around the logos in the image irrespective of whether that logo belongs to “Apple” or “Google.” That’s the problem we want to address in this blog.

Source:  Unsplash

Approach

A Machine learning pipeline is used to construct and automate machine learning workflows. It contains steps like preparing data, training and validating the model, etc. We also follow a similar workflow for the logo detection model development.

Firstly the datasets will not consist of all the brands. Therefore we will never have sufficient training data. Curating such large-scale data will take lots of time. Apart from that, we also have to keep track of all new brands registering daily, which will create a problem in identifying new brands in the image during inference.

The datasets we create might be prone to imbalance which again creates that problem during inference. For example, We might have more images from one brand than the other.

We have to keep training each day to keep up to date.

To solve this problem, we annotated the data; differently, we divided logos into two classes:

Text logos: Logos with text in it

No Text logos: Logos with no text in them.

A glimpse of the training data

We annotate the data concerning these two classes; this mitigates our previous problem of brand dependency.

Why use this approach?

Rather than creating our own data set and custom model, this approach lets us use already available datasets and object detection models. Conveniently looking at all the logos, it makes sense to divide logos into two groups logos with text in them and logos without the text. Also, we have to give at least two classes to train on for any object detection model.

We identified two datasets for our problem LogoDet-3K: A Large-Scale Image Dataset for Logo Detection and Visually29K: a large-scale curated infographics dataset.

Annotation

We used the following steps to annotate the data:

Extracted the bounding box coordinates from the already available annotated logo datasets.

Cropped the image for that bounding box to get that particular region

Gave cropped logo image as input to the text detection model. We used CRAFT: Character-Region Awareness For Text detection as the text detector.

If text is detected, we label that particular bounding box as “Text”. Else we label the bounding box as “NoText”.

Datasets

LogoDet-3K: A Large-Scale Image Dataset for Logo Detection

LogoDet-3k is a large-scale high-quality logo detection dataset consisting of 3000 logo categories, 158,652 images, and 194,261 bounding boxes. In this dataset, according to our approach, we observe three types of images:

Images that contain only text logos.

Images that contain logos of label text only

2. Images that contain only no text logos.

Images that contain logos of label no text only

3. Images that contain both text and no text logos.

Images that contain logos of both the “Text” label and “NoText” label

After we finish the process, we observe a severe class imbalance between text bounding boxes and no text bounding boxes, with no text bounding being the limiting class. To compensate for this imbalance, we next use the Visually29K dataset.

Visually29K: a large-scale curated infographics dataset

Visually29K consists of 28,973 infographics to cover a fixed set of 391 tags (filtered down from free-form text). They provide a bounding box for icons in the infographics from the dataset. As icons are very similar to no text logos, we use that to compensate for the imbalance of no text logos; in simple words, use the icons as no text logos. Hence we proceed to annotate the Visually29K dataset similar to how we annotated the LogoDet-3K dataset.

After the annotation step, we now proceed to train our model.

Model

We use the icevision library for our model training and inference purposes. We use mmdetection’s retinanet architecture for the object detection model with a pre-trained resnet50_fpn_1x as its backbone. The Metric used was COCOMetric.

Training

Data after applying some augmentations

For the training process, first, a custom data parser is used that will parse our data and present it to the model for training and testing purposes. We first train our data on 30,000 images. Later we increase the number of images to 53000. The 30,000 images only include images from LogoDet-3K, and 53,000 contain images from LogoDet-3K and Visually29K. We train them for 30 epochs and 50 epochs, respectively.

Later it is found that the validation loss or Metric is not increasing significantly, so training is stopped.

We saved the checkpoints from the previous step, letting the 30k images checkpoint be checkpoint 1 and the 53k images be checkpoint 2. So we find that checkpoint 1 is more inclined toward text logos; it might be because we did not check for imbalance at that moment, but the 30K images dataset was imbalanced towards text logos. And checkpoint 2 detected more no text logos. We later created an ensemble of checkpoint 1 and checkpoint 2 for our final model.

Results Some good cases Some bad cases Conclusion

An enormous number of companies are in the market, each with its logo and brand name. It isn’t easy to develop a logo detection model with brand names as the classes. In this case, we have to reduce the number of classes. In this blog, I describe an approach of reducing the number of classes to train a generic logo detection model that detects a logo if it is present in the image.

Some of the key takeaways from the article are:

1. Logo detection with brand names as classes creates lots of problems. We need to reduce the number of classes to develop a model for general use to resolve these issues.

2. Logos can be divided into two classes logos with text and logos without text. We can annotate some existing datasets according to those two classes and train an object detection model.

3. Some of the approach’s shortcomings might be that it won’t tell which brand the logos belong to. Second, there might be false positives because we are using the VisuallyData dataset, which is a dataset for icons. Subsequently, our logo detection model might recognize icons as logos.

This marks the end of this blog!

A big thanks to Divyam Shah and Shashank Pathak!

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Related

How To Create A Personal Brand In 2023

The secrets to personal branding success

Good branding can make or break your success: it stands for companies, and it stands for personal brands as well. Nowadays, personal branding is more important than ever, particularly if you are an entrepreneur or solopreneur, or if you work in a company. In this blog post, I want to show you the best way to start building up your personal brand in 2023.

Why personal branding?

Personal branding has become almost a necessity in recent years, especially for people in certain niches. The reason for that is other people that you come into contact with, particularly clients and employers will likely also check your online persona.

By building up your personal brand, you’ll be able to put your best foot forward online – which will also influence your success in the real world as well.

As an entrepreneur, there are even more benefits to creating a personal brand. People generally prefer the person behind the business to the actual business, as it’s something they can connect with. By building up your personal brand, you will be able to grow your business faster and find potential investors and clients more easily.

Now, let’s get into what you need to do in order to start your very own personal brand:

Be visible and be active

The first step towards building up your personal brand is that you need to be as visible as possible online:

Create a blog or a website where people can learn more about you

Join social profiles and be active

Join online communities and social groups where you interact with others

You don’t necessarily need to be on every major social network and start a blog. Rather, keep to what you know realistically you have the time to manage properly and stick with it.

Since you will need to be very active in order to be successful, and engage as much as possible with other people, it’s better to not stretch yourself too thin.

That said, if you’re not seen by people, you won’t be able to truly brand yourself. Find the perfect balance for yourself, so as to make sure that you are visible, but not on so many platforms that you don’t have the time to manage any of them properly.

Grow your social influence

Social media offers even the most regular of people a chance at growing their influence online. And an improved influence, means a better, stronger personal brand.

In order to grow your own social influence, you will need to be extra active online, and preferably, also have a blog which is updated regularly with new posts. Influencers can’t grow unless there is consistency.

Another important factor is engagement: just like with personal branding, if you want to grow your influence, you will need to engage with other users as much as possible. Ask and answer questions, join groups and engage there regularly to get your name seen by others, network online and at events, take part in Twitter Chats and so on. The more you engage with others, the better for your influence, and for your personal brand.

Know who you are and what makes you unique

Just like with regular brands, a personal brand needs to have a clear direction.

In order to be able to build your brand, you need to know who you are: what makes you, you? What qualities make you unique? What makes you stand out? And how can you use these for your personal brand.

This is not a question of hiding things about yourself, or changing your personality to fit the idea of the perfect personal brand. Rather, it’s about using your best qualities and always bringing your best foot forward when you’re presenting yourself to others, online and offline.

Consistency is also very important to your success – just like with regular brands. Before you start building your brand, be clear on who you are and what image you want to portray to others, and then stick to it.

Branding: it’s in the little things

With branding, it’s sometimes the little things that can make the biggest difference to your success.

For example, you could consider creating a logo for yourself. This is especially useful if you have a website or a blog. A logo can help you look more professional, as well as make your brand stand out. You can use a tool like Tailor Brands to quickly create yourself a custom logo.

Another thing that can make a big difference is including a professional signature to all of your emails.

Most email providers will let you create a signature, or if you want a more professional-looking signature and one that includes links to your social profiles, you can use a tool like WiseStamp to create it.

Live streaming

Live streaming continues to be huge this year on social media. Use this popular (relatively) new medium to grow your personal brand and reach more people.

As Facebook is pushing this feature, it’s much more likely that a live stream will pop up in people’s news feeds, rather than a regular update. It’s unclear how long this will last – but while it still is, make sure to profit from the increased reach that live streaming gives you. And, now that Twitter has also included this feature, you have even more options for platforms.

There are lots of ways that you can use live streaming, for example to perform a product tutorial for a product that your audience would be interested in, to live stream from an event, or to take an interview of an interesting person that your audience would love to hear from.

Engage with social influencers

Another way of building up your profile online is to create connections with social influencers. As they start mentioning you or your work, it can really help you build your profile, not to mention, you will also be reaching their larger than average and very engaged audience.

Search for influencers in your niche and then simply start engaging to build these relationships. A platform like Clearvoice can help you map out and connect with influencers in many niches. Engage on their websites and blogs, as well as on social media and, where possible, take it to the offline as well: go to industry events, conferences and so on as this will not only help you meet influencers, but it will also improve your own visibility. The more people get to meet you, the better the chances of your personal brand growing and evolving.

Conclusion

A good personal brand can help you achieve more success in your career, or as an entrepreneur, it can help propel your business to success, much faster and easier. Are you thinking of building up your own personal brand? What are some of the best personal brands you’ve encountered online and why?

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