digital marketing
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Unlike a weak phone signal solely causing a grainy sound, in growth marketing, it can mean the difference between a successful program or a massive cash bleed. As we move toward an increasingly privacy-centric world, it is even more necessary for companies to nail down signal early on.
So what exactly is “signal” in growth marketing? It can carry many different meanings, but holistically speaking, it’s the event data in our arsenal to help guide decisions. When it comes to paid acquisition, it’s vital to optimize and pass back the correct event data to paid channels. This is so that targeting and bidding algorithms have the most enriched data to utilize.
I’ve seen startups spend thousands of dollars inefficiently as a result of not having optimal signal in their paid acquisition campaigns. I’ve also spent millions at companies such as Postmates refining our signal to the best possible state. I’d like every startup to avoid the painful mistake of not having this set up correctly, instead making the most of every important ad dollar.
When starting out, it may seem obvious to optimize toward a north-star metric such as a purchase. If spend is very minimal, that could mean that the conversion volume will be low across campaigns. On the flip side, if the optimization event is set at a top-of-funnel event such as a landing page view, the signal strength may be very weak. The reason that the strength may be weak is due to passing back a low-intent event as successful to the paid channels. By marking a landing page view as successful, paid channels such as Facebook will continue to find users that are similar to these lower-propensity users that are converting.
Let’s take an example of a health-and-wellness app with a goal of driving memberships to their coaching program. They’re just starting out with exploring paid acquisition and spending $5,000 per week on Facebook. Below is a look at their events in the funnel, weekly volume and cost per event:
Example of a health-and-wellness app and their weekly conversion volume at $5,000 spend. Image Credits: Jonathan Martinez
In the above example, we can see that there’s significant volume for landing page views. As we go down the simplified flow, there is less volume as users drop off the funnel. Almost everyone’s instinct would be to optimize for either the landing page view, because there’s so much data, or the subscription event, because it’s the strongest. I would argue (after extensive testing across multiple ad accounts) that neither of these events would be the correct pick. With landing page views as an optimization event, the users have an egregiously low propensity since the landing page view to subscription conversion rate is 0.61%.
The correct event to optimize for here would either be sign up or trial start because they have sufficient enough volume and are strong signals of a user converting to the north-star metric (subscription). Looking at the conversion rate between sign up and subscription, it’s a much healthier 10.21%, versus the 0.61% from landing page view.
I’m always a huge proponent of testing all events, as there can definitely be big surprises in what may work best for you. When testing events, make sure that there’s a stat-sig baseline that’s being followed to make decisions. Additionally, I think it’s a great practice to test events regularly early on because conversion rates can change as other channel variables are adjusted.
In certain cases, the current events that are set up aren’t optimal for paid acquisition campaigns. I’ve seen this happen frequently with startups that have long windows of time between conversion events. Take a startup such as Thumbtack, which provides a marketplace of providers who can help with home repairs. After someone signs up to their app, the user may place a request but not hire someone until a few weeks later. In this case, making flow adjustments could potentially improve the signal and data that you collect from users.
A solution that Thumbtack could implement to gather a stronger signal would be to add another step between the request being placed and hiring someone. This could potentially be a survey with propensity check questions that could ask how soon the user needs help or how important their project is from a 1–10.
Example of in-app survey responses to “How important is your project?” Image Credits: Jonathan Martinez.
After accumulating the data, if there’s a high correlation between survey answers and someone starting their project, we can start to explore optimizing for that event.
In the above example, we see that users who responded with “9” have a 7.66% likelihood to convert. Therefore, this should be the event we optimize for. Artificially adding steps that qualify users in a longer flow can help steer optimization targeting in the right direction.
Let’s imagine that you have the most ideal flow that captures large volumes of event signal without much of a delay to your optimization event. That’s still far from perfect. There are myriad solutions that can be implemented to further enhance the signal.
For Facebook specifically, there are connections such as CAPI that can be integrated to pass back data in a more accurate way. CAPI is a method of passing back web events server-to-server rather than relying on cookies and the Facebook pixel. This helps mitigate browsers that block cookies or users who may delete their web history. This is just one example. I won’t run through all the channels, but each has its own solution to help enhance event signal being passed back to it.
This wouldn’t be a column written in 2021 without mention of iOS 14 and the strategies that can be leveraged for this growing user segment. I’ve written another piece about iOS-14-specific tactics, but I’ll cover it here on a broad level. If the north-star metric (i.e., purchase) event can be triggered within 24 hours of the initial app launch, then that’s golden.
This would bring large volumes of high-intent data that would not be at the mercy of the SKAD 24-hour event timer. For most companies, this may sound like a lofty goal, so the target should be to have an event fire within 24 hours that is a high-likelihood indicator of someone completing your north-star metric. Think of which events happen in the flow that lead to someone eventually purchasing. Maybe someone adding a payment method happens within 24 hours and historically has a 90% conversion rate to someone purchasing. An “add payment info” event would be a great conversion event to use in this case. The landscape of iOS 14 is constantly changing but this should apply for the immediate future.
As a rule of thumb, incrementality checks should constantly be performed in growth marketing. It gives an important read on whether advertising dollars are bringing in users that wouldn’t have converted had they not seen an ad.
When comparing optimization events, this rule still applies. Make sure that costs per action aren’t the only metric that’s being used as a measure of success, but instead, use the incremental lift on each conversion event as the ultimate key performance indicator. In this piece, I detail how to run lean incrementality tests without swarms of data scientists.
So how do you stay ahead and continue moving the needle on your growth marketing campaigns? First and foremost, constantly question the events you’re optimizing for. And second, leave no stone unturned.
If you’re using the same optimization event forever, it will be a disservice to your campaign performance potential. By experimenting with flow changes and running tests on new events, you’ll be way ahead of the curve. When iterating on the flow, think about user behavior and events from the user’s perspective. Which flow events, if added, would correlate to a high propensity conversion segment?
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2021 has been a good year to be an adtech investor. Valuations are surging, Wall Street is happy and exits are frequent and satisfying. It’s the perfect time to double down and invest in an area that has been largely ignored but is poised for major upside in the next few years: Digital creative ad technology.
Think about it. When was the last time we saw a major adtech funding round that was directed at the actual ads themselves — the messages people actually see everyday? I’d argue that now is the perfect time.
The adtech startups that can figure out how to adapt ads that can interact with the remote control, a synced smartphone or voice commands — maybe even make them shoppable — can theoretically produce a game-changer.
Here are five reasons why VCs should consider ratcheting up their investment into adtech startups building the next generation of creative tools:
Consider how much has been spent over the 15 years on digital advertising mechanics such as targeting, serving, measuring and verification. Not to mention the trillions that have gone toward helping brands keep track of customer data and interactions — the marketing clouds, DMPs and CDPs.
Yet you can count the number of creative-centric adtech companies on one hand. This means there is a lot of room for innovation and early leaders. VideoAmp, which helps brands make ads for various social platforms, pulled in $75 million earlier this year. Given how fast platforms like TikTok and Snap are growing, it won’t be the last.
Ads need to do more work today. Between regulation, cookies going away and Apple locking down data collection, we’ve seen a renewed interest in contextual advertising, including funding for the likes of GumGum, as well as identity resolution firms like InfoSum.
But the digital ad ecosystem can’t get by only using broader data-crunching techniques to replace “retargeting.” The medium is practically crying out for a creative revival that can only be sparked by scalable tech. The recent funding for creative testing startup Marpipe is a start, but more focus is needed on actual tech-driven ideation and automation.
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Which terms come to mind when you think about SaaS?
“Solutions,” “cutting-edge,” “scalable” and “innovative” are just a sample of the overused jargon lurking around every corner of the techverse, with SaaS marketers the world over seemingly singing from the same hymn book.
Sadly for them, new research has proven that such jargon-heavy copy — along with unclear features and benefits — is deterring customers and cutting down conversions. Around 57% of users want to see improvements in the clarity and navigation of websites, suggesting that techspeak and unnecessarily complex UX are turning customers away at the door, according to The SaaS Engine.
That’s not to say SaaS marketers aren’t trying: Seventy percent of those surveyed have been making big adjustments to their websites, and 33% have updated their content. So how and why are they missing the mark?
They say there’s no bigger slave to fashion than someone determined to avoid it, and SaaS marketing is no different. To truly stand out, you need to do thorough competitor analysis.
There are three common blunders that most SaaS marketers make time and again when it comes to clarity and high-converting content:
We’re going to unpack what the research suggests and the steps you can take to avoid these common pitfalls.
It’s a jungle out there. But while camouflage might be key to surviving in the wild, in the crowded SaaS marketplace, it’s all about standing out. Let’s be honest: How many SaaS homepages have you visited that look the same? How many times have you read about “innovative tech-driven solutions that will revolutionize your workflow”?
The research has found that of those using SaaS at work, 76% are now on more platforms or using existing ones more intensively than last year. And as always, with increased demand comes a boom in competition, so it’s never been more important to stand out. Rather than imitating the same old phrases and copy your competitors are using, it’s time to reach your audience with originality, empathy and striking clarity.
But how do you do that?
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Trust wants to give smaller businesses the same advantages that large enterprises have when marketing on digital and social media platforms. It came out of beta with $9 million in seed funding from Lerer Hippeau, Lightspeed Venture Partners, Upfront Ventures and Upper90.
The Los Angeles-based company was started in 2019 by a group of five Snap alums working in various roles within Snap’s revenue product strategy business. They were building tools for businesses to fund success with digital marketing, but kept hearing from customers about the advantage big advertisers had over smaller ones — the ability to receive good payment terms, credit lines, as well as data and advice.
Aiming to flip the script on that, the group created Trust, which is a card and business community to help digital businesses navigate the ever-changing pricing models to market online, receive the same incentives larger advertisers get and make the best decision of where their marketing dollars will reach the furthest.
Trust dashboard
Trust does this in a few ways: Its card, built in partnership with Stripe, enables businesses to increase their buying power by up to 20 times and have 45 days to make payments on their marketing investments, CEO James Borow told TechCrunch. Then as part of its community, companies share knowledge of marketing buys and data insights typically reserved for larger advertisers. Users even receive news via their dashboard around their specific marketing strategy, he added.
“The ad platforms are walled gardens, and most people don’t know what is going on inside, so our customers work together to see what is going on,” Borow said.
The growth of e-commerce is pushing more digital marketing investments, providing opportunity for Trust to be a huge business, Borow said. E-commerce sales in the U.S. grew by 39% in the first quarter, while digital advertising spend is forecasted to increase 25% this year to $191 billion. Meanwhile, Google, Facebook, Snapchat and Twitter all recently reported rapid growth in their year-over-year advertising revenues, Borow said.
The new funding will go toward increasing the company’s headcount.
“We have active customers on the platform, so we wanted to ramp up hiring as soon as we went into general release,” he added. “We are leaving beta with 25 businesses and a few hundred on our waitlist.”
That list will soon grow. In addition to the funding round, Trust announced a strategic partnership with social shopping e-commerce platform Verishop. The company’s 3,500 merchants will receive priority access to the Trust card and community, Borow said.
Andrea Hippeau, partner at Lerer Hippeau, said she knew Borow from being an investor in his previous advertising company Shift, which was acquired by Brand Networks in 2015.
When Borow contacted Lerer about Trust, Hippeau said this was the kind of offering that would be applicable to the firm’s portfolio, which has many direct-to-consumer brands, and knew marketing was a huge pain point for them.
“Digital marketing is important to all brands, but it is also a black box that you put marketing dollars into, but don’t know what you get,” she said. “We hear this across our portfolio — they spend a lot of money on ad platforms, yet are treated like mom-and-pop companies in terms of credit. When in reality Casper is outspending other companies by five times. Trust understands how important marketing dollars are and gives them terms that are financially better.”
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Everyone at an organization should own growth, right? Turns out when everyone owns something, no one does. As a result, growth teams can cause an enormous amount of friction in an organization when introduced.
Growth teams are twice as likely to appear among businesses growing their ARR by 100% or more annually. What’s more, they also seem to be more common after product-market fit has been achieved — usually after a company has reached about $5 million to $10 million in revenue.
Image Credits: OpenView Partners
I’m not here to sell you on why you need a growth team, but I will point out that product-led businesses with a growth team see dramatic results — double the median free-to-paid conversion rate.
Image Credits: OpenView Partners
According to responses from product benchmarks surveys, growth teams have transitioned dramatically from reporting to marketing and sales to reporting directly to the CEO.
Some of the early writing on growth teams says that they can be structured individually as their own standalone team or as a SWAT model, where experts from various other departments in the organization converge on a regular cadence to solve for growth.
Image Credits: OpenView Partners
My experience, and the data I’ve collected from business-user focused software companies, has led me to the conclusion that growth teams in business software should not be structured as “SWAT” teams, with cross-functional leadership coming together to think critically about growth problems facing the business. I find that if problems don’t have a real owner, they’re not going to get solved. Growth issues are no different and are often deprioritized unless it’s someone’s job to think about them.
Becoming product-led isn’t something that happens overnight, and hiring someone will not be a silver bullet for your software.
I put early growth hires into a few simple buckets. You’ve got:
Product-minded growth experts: These folks are all about optimizing the user experience, reducing friction and expanding usage. They’re usually pretty analytical and might have product, data or MarketingOps backgrounds.
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Around 15% of website traffic comes through paid search ads. But to turn passive searchers into active shoppers, your ads should answer their question and entice them to click.
We’ve tested thousands of paid search ads at Demand Curve and through our agency Bell Curve. This post breaks down 14 questions your paid search ads should answer to ensure you’re only paying for the highest-intent shoppers.
An important distinction between paid search and organic search is that paid ads are an interruption. Users of search engines are simply looking for an answer to their question. The people who see your ads don’t owe you anything. Just because you’re paying to have your ad show up first doesn’t mean they’re going to pay attention to it.
To generate genuine interest in your paid ads, reframe your offer as a favor.
You can do this in two ways:
For example, reframing free delivery as an extra convenience makes the offer that much more attractive.
Use ad extensions by listing additional benefits in the description of the page. For example, including “customized plans” in the pricing extension page signals to your customer that they’ll have control over the cost. This will help to attract the curiosity of even the most cost-conscious buyers.
Image Credits: Demand Curve
Approximately 80% of e-commerce shopping carts are abandoned, mostly because shoppers don’t feel any urgency to complete the transaction. Online shoppers aren’t in any rush, as the internet is open 24/7 and inventory feels unlimited.
Use ad copy that bridges the gap between their problem and your solution. The easiest way to create that curiosity bridge is by asking a question.
To answer the question, “Why should I buy now?”, you’re going to have to create an incentive to get them to take action now.
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Sendlane, a San Diego-based multichannel marketing automation platform, announced Thursday it raised $20 million in Series A funding.
Five Elms Capital and others invested in the round to give Sendlane total funding of $23 million since the company was founded in 2018.
Though the company officially started three years ago, co-founder and CEO Jimmy Kim told TechCrunch he began working on the idea back in 2013 with two other co-founders.
They were all email marketers in different lines of business, but had some common ground in that they were all using email tools they didn’t like. The ones they did like came with too big of a price tag for a small business, Kim said. They set out to build their own email marketing automation platform for customers that wanted to do more than email campaigns and newsletters.
When two other companies Kim was involved in exited in 2017, he decided to put both feet into Sendlane to build it into a system that maximized revenue based on insights and integrations.
In late 2018, the company attracted seed funding from Zing Capital and decided in 2019 to pivot into e-commerce. “Based on our personal backgrounds and looking at the customers we worked with, we realized that is what we did best,” Kim said.
Today, more than 1,700 e-commerce companies use Sendlane’s platform to convert more than 100 points of their customers’ data — abandoned carts, which products sell the best and which marketing channel is working — into engaging communications aimed at driving customer loyalty. The company said it can increase revenue for customers between 20% and 40% on average.
The company itself is growing 100% year over year and seeing over $7 million in annual recurring revenue. It currently has 54 employees right now, and Kim expects to be at around 90 by the end of the year and 150 by the end of 2022. Sendlane currently has more than 20 open roles, he said.
That current and potential growth was a driver for Kim to go after the Series A funding. He said Sendlane became profitable last year, which is why it has not raised a lot of money so far. However, as the rapid adoption of e-commerce continues, Kim wants to be ready for the next wave of competition coming in, which he expects in the next year.
He considers companies like ActiveCampaign and Klaviyo to be in line with Sendlane, but says his company’s differentiator is customer service, boasting short wait times and chats that answer questions in less than 15 seconds.
He is also ready to go after the next vision, which is to unify data and insights to create meaningful interactions between customers and retailers.
“We want to start carving out a new space,” Kim added. “We have a ton of new products coming out in the next 12 to 18 months and want to be the single source for customer journey data insights that provides flexibility for your business to grow.”
Two upcoming tools include Audiences, which will unify customer data and provide insights, and an SMS product for two-way communications and enabled campaign-level sending.
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In nearly every Google algorithm update in recent memory, Google has rewarded old, megatraffic sites, sending their search rankings soaring at the expense of smaller, newer sites. Big sites have increased their search traffic by 28% year over year, according to GrowthBar’s organic search data on the 100 most visited sites.
Why? Large sites such as Wikipedia, LinkedIn, Pinterest, Amazon, Home Depot and Target have something the rest of us don’t — they’ve got years of built-up Google trust signals.
Start with best practices like making incredible content and securing backlinks to your best web pages, but also be willing to think a bit outside the box.
I’d contend that Google favors large sites more than ever before — and it’s a trend that doesn’t seem to be slowing down. After all, Google exists to deliver the best search experience to users. Bad search results would be a death sentence for their business, since Googlers would flock to alternatives like DuckDuckGo and Bing.
Especially today, where distrust of the media is at an all-time high, Google can’t risk its reputation by surfacing bad search results, so I think their algorithm errs on the side of caution. It’s simply safer for their business to surface household names at the top of the search engine results page, particularly in ultrasensitive your money, your life categories.
John Mueller, Google’s SEO mouthpiece, practically settled the debate that older sites are preferred by the algorithm when he said, ” … freshness is always an interesting one because it’s something that we don’t always use. Because sometimes it makes sense to show people content that has been established (SEJ).”
So, how can you hope to compete if you’re deploying an SEO strategy on one of the billions of smaller sites?
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Of course, you should start with best practices like making incredible content and securing backlinks to your best web pages, but you should also be willing to think a bit outside the box. The cards aren’t in your favor, so you need to be even more strategic than the big guys. This means executing on some cutting-edge hacks to increase your SEO throughput and capitalize on some of the arbitrage still left in organic search. I call these five tactics “advanced-ish,” because none of them are complicated, but all of them are supremely important for search marketers in 2021.
Businesses spent over $300 billion on content marketing last year. That’s in part because creating new content is the most straightforward way to draw in organic search traffic. Whether you’ve got a mature site or you’re just starting a WordPress SEO site, content is likely a large part of your SEO strategy.
But to scale content like a startup, you’ll need to devote a lot of time to it and/or manage a fleet of writers. Your time is probably better spent building your product or helping customers than on planning hundreds of blog articles. This is precisely where a content generator tool comes into play.
A whole new era of SEO tools is emerging, and some of these are augmented by OpenAI’s GPT-3 technology, the most advanced artificial intelligence language model. These tools have changed the game for SEOs and content creators by automating parts of the content creation cycle. Several tools utilize SEO signals and combine them with OpenAI to help you create blog outlines that include SEO-optimized titles, word counts, keywords, headlines, intro paragraphs and much more.
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One of VR’s prospective revenue streams is ad placement. The thought is that its levels of immersion can engender high engagement with various flavors of display ads. Think billboards in a virtual streetscape or sporting venue. Art imitates life, and all that.
This topic reemerged recently in the wake of Facebook’s experimental ads in Blaston VR. As TechCrunch’s Lucas Matney observed, it didn’t go too well. The move triggered a resounding backlash, followed by the game publisher, Resolution Games, backing out of the trial.
This chain of events underscored Facebook’s headwinds in VR ad monetization, which stem from its broader ad issues. In fairness, this was an experimental move to test the VR advertising waters … which Facebook accomplished, though it didn’t get the result it wanted.
VR advertising is a bit of a double-edged sword. It could take several years for VR usage to reach requisite levels for meaningful ad monetization.
Regardless, we’ve taken this opportunity to revisit our ongoing analysis and market sizing of VR advertising in general. The short version: There are pros and cons on both qualitative and quantitative levels.
VR advertising’s opportunity goes back to factors noted above: potentially high ad engagement given inherent levels of immersion. On that measure, VR exceeds all other media, which can mean higher-quality impressions, brand recall and other common display-ad metrics.
Historical evidence also suggests that VR could follow a path toward ad monetization. VR shows similar patterns to media that were increasingly ad supported as they matured. These include video, social media, mobile apps and games (just ask Unity).
To put some numbers behind that, 75% of apps in the Apple App Store’s first year were paid apps — similar to VR today. That figure declined to 15% in 2014 and hovers around 10% today. Over time, developers learned they could reach scale through free downloads.
Prevalent revenue models today include in-app purchases — especially in mobile gaming — and advertising. The question is whether VR will follow a similar path as developers learn that they can reach scale faster through free apps that employ “back-end monetization” like ad support.
This trend also follows audience dynamics: Early adopters are more likely to pay for content and experiences. But as a given technology or media matures, its transition to mainstream audiences requires different business models with less upfront commitment and friction.
“Today, there are only about 18% of applications in VR stores such as Steam and Oculus that are free,” Admix CEO Samuel Huber said. “This is fine for now because we are still very early in the market and most of these users are early adopters. They are willing to pay for content, just like they were willing to pay for prototype unproven hardware and generally, they have higher purchasing power than the average person.”
Considering the above advantages, VR advertising is a bit of a double-edged sword (or beat saber). Those advantages are counterbalanced by a few practical disadvantages in the medium’s early stage. Much of this comes down to the requirement for scale.
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The U.K.’s more expansive, post-Brexit role in digital regulation continues to be felt today via a policy change by Google, which has announced that it will, in the near future, only run ads for financial products and services when the advertiser in question has been verified by the financial watchdog, the FCA.
The Google Ads Financial Products and Services policy will be updated from August 30, per Google, which specifies that it will start enforcing the new policy from September 6 — meaning that purveyors of online financial scams who’ve been relying on its ad network to net their next victim still have more than two months to harvest unsuspecting clicks before the party is over (well, in the U.K., anyway).
Google’s decision to allow only regulator-authorized financial entities to run ads for financial products and services follows warnings from the Financial Conduct Authority that it may take legal action if Google continued to accept unscreened financial ads, as the Guardian reported earlier.
The FCA told a parliamentary committee this month that it’s able to contemplate taking such action as a result of no longer being bound by European Union rules on financial adverts, which do not extend to online platforms, per the newspaper’s report.
Until gaining the power to go after Google itself, the FCA appears to have been trying to combat the scourge of online financial fraud by paying Google large amounts of U.K. taxpayer money to fight scams with anti-scam warnings.
According to the Register, the FCA paid Google more than £600,000 (~$830,000) in 2020 and 2021 to run “anti-scam” ads — with the regulator essentially engaged in a bidding war with scammers to pour enough money into Google’s coffers so that regulator warnings about financial scams might appear higher than the scams themselves.
The full-facepalm situation was presumably highly lucrative for Google. But the threat of legal action appears to have triggered a policy rethink.
Writing in its blog post, Ronan Harris, a VP and MD for Google UK and Ireland, said: “Financial services advertisers will be required to demonstrate that they are authorised by the UK Financial Conduct Authority or qualify for one of the limited exemptions described in the UK Financial Services verification page.”
“This new update builds on significant work in partnership with the FCA over the last 18 months to help tackle this issue,” he added. “Today’s announcement reflects significant progress in delivering a safer experience for users, publishers and advertisers. While we understand that this policy update will impact a range of advertisers in the financial services space, our utmost priority is to keep users safe on our platforms — particularly in an area so disproportionately targeted by fraudsters.”
The company’s blog also claims that it has pledged $5 million in advertising credits to support financial fraud public awareness campaigns in the U.K. So not $5 million in actual money then.
Per the Register, Google did offer to refund the FCA’s anti-scam ad spend — but, again, with advertising credits.
The U.K. parliament’s Treasury Committee was keen to know whether the tech giant would be refunding the spend in cash. But the FCA’s director of enforcement and market insight, Mark Steward, was unable to confirm what it would do, according to the Register’s report of the committee hearing.
We’ve reached out to the FCA for comment on Google’s policy change, and with questions about the refund situation, and will update this report with any response.
In recent years the financial watchdog has also been concerned about financial scam ads running on social media platforms.
Back in 2018, legal action by a well-known U.K. consumer advice personality, Martin Lewis — who filed a defamation suit against Facebook — led the social media giant to add a “report scam ad” button in the market as of July 2019.
However research by consumer group, Which?, earlier this year, suggested that neither Facebook nor Google had entirely purged financial scam ads — even when they’d been reported.
Per the BBC, Which?’s survey found that Google had failed to remove around a third (34%) of the scam adverts reported to it versus Facebook failing to remove well over a fifth (26%).
It’s almost like the incentives for online ad giants to act against lucrative online scam ads simply aren’t pressing enough.
More recently, Lewis has been pushing for scam ads to be included in the scope of the U.K.’s Online Safety Bill.
The sweeping piece of digital regulation aims to tackle a plethora of so-called “online harms” by focusing on regulating user generated content. However, Lewis makes the point that a scammer merely needs to pay an ad platform to promote their fraudulent content for it to escape the scope of the planned rules, telling the “Good Morning Britain” TV program today that the situation is “ludicrous” and “needs to change.”
It’s certainly a confusing carve-out, as we reported at the time the bill was presented. Nor is it the only confusing component of the planned legislation. However on the financial fraud point the government may believe the FCA has the necessary powers to tackle the problem.
We’ve contacted the Department for Digital, Media, Culture and Sport for comment.
Update: A government spokesperson said:
We have brought user-generated fraud into the scope of our new online laws to increase people’s protection from the devastating impact of scams. The move is just one part of our plan to tackle fraud in all its forms. We continue to pursue fraudsters and close down the vulnerabilities they exploit, are helping people spot and report scams, and we will shortly be considering whether tougher regulation on online advertising is also needed.
The government also noted that the Home Office is developing a Fraud Action Plan, which is slated to be published after the 2021 spending review; and pointed to the Online Advertising Programme that it said will consider the extent to which the current regulatory regime is equipped to tackle the challenges posed by the rapid technological developments seen in online advertising — including via a consultation and review of online advertising it plans to launch later this year.
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