Albert.AI improves YouTube ROI by 16.3% for a leading CPG marketer.

CPG breakfast food marketer uses Albert’s AI technology which continuously optimizes audience performance and shifts ad spend as audience segment performance changes, to maximize advertising ROI

Despite the challenges marketers face due to the loss of targeting data, marketers can still rely on their own self-defined audience targeting segments to improve campaign performance by utilizing AI technology, according to the results for a leading CPG.

Albert AI improved Return On Investment (ROI) by 16.3% on YouTube for a leading CPG marketer over a 12-months period by continuously optimizing campaign performance across a broad range of audience segments.

To achieve improved ROI, Albert continuously analyzes the performance of the various affinity audience segments (Google ads targeting audiences based on people’s interests). Examples of affinity audience segments include Frequently Eats Breakfast Out, Sports Game Fans and Thrill Seekers. By targeting all relevant affinity audiences and continuously analyzing performance, Albert recommended shifting ad budgets as ad performance changed. The combination of starting broad and continuous optimization resulted in an improved campaign ROI.

Analyzing tens of affinity audience segments to uncover ad performance shifts as they happen according to product SKU and location is only possible by using AI technology. When Albert detects a shift in performance, ad spend is shifted instantly to the affinity audiences performing better, resulting in a better marketer ROI.

A second optimization tactic that was effective for this CPG marketer was retargeting. The re-engagement of users who had previously clicked on and engaged with an ad from said marketer was a targeting segment that delivered a strong ROI.

Finally, like most marketers, this CPG marketer is asking users to provide first-party data, which users provide as part of the value exchange for the benefits of customer loyalty programs. The use of first-party data in conjunction with Albert was highly effective, further improving campaign ROI for this CPG marketer.

“The privacy changes that the ad industry is going through do not mean that audience targeting is dead. Far from it. AI solutions like Albert use technology to successfully target users in a privacy-compliant manner,” said Yair Yaskerovitch, COO, Albert AI/Zoomd. “Even when working with the leading platforms with access to a treasure trove of first-party user data, Albert AI technology is able to deliver a significant improvement in ROI.”

Albert’s technology leverages AI to find new audience segments to optimize campaign performance according to creative, keywords, platforms, and device selection and bidding, to maximize marketer KPIs across search, social, display, and cross-channel. Albert assists marketers and agencies – from defining campaign strategies and messaging to the creation and optimization of audience segments and ads across platforms. By working continuously 24/7 to optimize customer performance, Albert AI complements marketer and agency teams, giving them the insights to make them smarter, more efficient, and extra effective.

want to learn more about Albert capabilities and how it can help your bottom link? send us a message and lets schedule a demo.

True marketing attribution is enabled by Albert, which allows offline sales to be tied to online marketing 

By integrating IRI based past sales and marketing performance data as the benchmark, Albert AI enables marketers to identify the increase in sales generated in physical stores by digital marketing  

Digital marketing started its tremendous growth in the 1990s on the promise that marketers would finally know which ad to serve which user and when to maximize sales. But due to changes in global privacy legislation like GDPR in Europe and CCPA in California (and state privacy laws in 10 other states), coupled with vendor-driven privacy changes from Apple and soon Google, 25 years later, marketers can no longer receive all the data and marketing signals from a consumer’s digital customer journey.  

Despite these privacy-driven changes in digital marketing, using machine learning and artificial intelligence technology, marketers can better understand their campaign performance. Working with Albert AI, marketers are even able to attribute offline sales in physical stores to online campaigns, based on IRI data.

Be disciplined and consistent with your marketing data  

Given all of the data marketers now have at their disposal, the first rule of effective data management is to monitor the same streams of data over time across all targeted audience segments. If marketers focus their campaigns on a set and limited number of channels, when supported by detailed and continuous sales data, then they will be able to understand specifically which ads are generating the greatest sales lift and optimize performance by serving the top-performing ads.  

In fact, Albert AI is most effective when working with a disciplined marketer that has a treasure trove of data. Whereas humans can get lost when there’s too much data, Albert doesn’t have this problem. On the contrary: Albert’s best results are for Fortune 100 marketers because they’re data-rich and disciplined.  

Albert’s AI technology facilitates the optimization of campaign performance by analyzing results from among the creative variables submitted by the marketer including images, text, and videos. For example, Albert’s technology coupled with in-depth SKU IRI data can enable a marketer to understand that the video with the puppy dogs is more effective in Texas whereas the video set on a ski slope performs better in Vermont and Massachusetts. By providing Albert AI with a range of creative variables, the technology is able to assemble ads that generate the most cost-effective performance for selected target audiences and ad channels. And Albert is also able to determine when it’s time to refresh or change ad creative to ensure an optimal Return On Ad Spend (ROAS).  

For a leading CPG breakfast marketer, Albert AI was able to tie online advertising on the leading digital platforms with an offline increase in sales at physical supermarkets in specific markets across north America. This knowledge enabled the marketing team to optimize their marketing spend according to ad platforms and specific creative ad units. Albert AI is able to answer John Wanamaker’s famous question about not knowing which half of his advertising spend is wasted.  

By enabling marketers to understand which creative impacts sales, Albert AI serves not only marketers but the entire sales and product operations team. Albert AI data enables optimizing factory production schedules according to seasonality and other factors. This level of data is used to facilitate company production schedules that can maximize company sales and profitability.   

“Though Albert’s AI technology enables improving ad creative performance which results in a sales lift, our Fortune 100 clients are able to utilize the data to support operations and optimize factory production schedules to maximize sales and profitability,” said Sagi Weinberg, Albert AI’s Sales Director. “Beyond optimizing campaign performance, Albert provides real business accountability.”  

Albert’s technology leverages AI to create new ad variations that optimize campaign performance, from keyword, audience, platform, and device selection and bidding to creative optimization across search, social, display, and cross-channel. Albert assists marketers and agencies – from defining campaign strategies and messaging to the creation and optimization of ads across audience segments and platforms. By working 24/7 to continuously optimize campaign performance, Albert AI complements marketer and agency teams, giving them the insights to make them smarter as well as more efficient and effective.  

Bridging the gap between advertisers and technology with 

In today’s world, technology is advancing at an unprecedented rate. From artificial intelligence to virtual reality, we’re seeing an explosion of new technologies that promise to revolutionize the way we live, work, and play. However, with all of this new tech comes a problem: a growing gap between advertisers and technology. As technology becomes more complex and specialized, it can be difficult for advertisers to keep up. is a platform that was created to help advertisers of all sizes gain a better ability to maximize their performance on both social and search ad platforms. With Albert, marketers can quickly identify customer needs, optimize their campaigns, and measure their success with AI-driven insights. 

One of the key features of is its ability to provide real-time data and insights. This allows companies to make more informed decisions about their marketing strategies, and to be more agile and responsive to changing market conditions. By using, companies can gain a better understanding of their audience and their behaviors, allowing them to create more personalized experiences that can drive engagement and increase conversion rates. 

How is Albert bridging this gap: 

Efficient and effective: uses artificial intelligence to automate and optimize marketing campaigns, reducing the amount of time and resources required to achieve the desired results. Albert can also integrate with other marketing channels and tools, streamlining your marketing efforts altogether.  

Transparent and informed: provides real-time data and insights, allowing advertisers to make more informed decisions about their marketing strategies. This can help advertisers be more agile and responsive to changing market conditions. Albert’s AI capabilities also enable it to learn from past campaigns and make adjustments in real-time, leading to better results over time.  

Profitable and competitive: By automating and optimizing marketing campaigns, can help advertisers achieve better returns on their marketing investments. This can help companies be more profitable and competitive in their respective markets.  

User-friendly platform: has a super user-friendly interface that is easy to use and understand. Making it easier for marketers to adopt and use the platform, no matter how tech-savvy they are.  

Personalized experience: uses the advertiser’s owned data to create personalized experiences for each user, improving engagement and conversion rates. This can help companies build stronger relationships with their customers and increase revenue. 

To bridge the gap between advertisers and technology,’s user experience is designed with simplicity in mind. The platform provides a clear and easy-to-understand interface, minimizing the number of clicks and providing clear feedback to users. also prioritizes accessibility and ensures that its interfaces are accessible to all users, including those with disabilities. 

In addition, provides training and support to help advertisers get up to speed. The platform has an extensive knowledge base and support team that is available to assist with any questions or issues. also provides video training and tutorials, making it easy for users to learn how to use the platform at their own pace. 

Embrace the culture of innovation 

It’s up to people to understand that we are in the middle of a new technological revolution, the AI revolution. While AI tech won’t replace you, humans who adapt\embrace AI will replace you. This means fostering an environment where experimentation and creativity are encouraged. Where employees are given amazing resources and support that they need to explore new technologies and ideas. By testing and embracing innovation, companies and their employees can stay ahead of the curve and continue to develop new technologies that meet the needs of people worldwide. 

AI for the masses 

Worth noting that is not just a tool for large companies with large budgets. The platform is designed to be accessible to advertisers of all sizes, and to provide a cost-effective solution for those who are looking to improve their marketing efforts. By providing a self-service platform that is easy to use and understand, makes it possible for even small businesses to take advantage of the benefits of AI-powered marketing. 

In conclusion, bridging the gap between advertisers and technology is an essential challenge that is tackling head-on. By leveraging the power of AI and machine learning Albert is simplifying the user experience, providing training and support, and fostering a culture of innovation, is helping advertisers overcome their fear of technology and embrace the exciting possibilities of the future. 

If you’re looking to improve your marketing efforts and stay ahead of the competition, is definitely worth considering. 

Talk to us and schedule your personalized demo, with a real person.

How AI Supercharges Your Paid Media Campaigns 

You feel a rush of excitement, don’t you? When they click on your ads, go down the funnel, click the buy button. When you see the metrics add up to something you know will get the entire department gasping. It makes all the hours you’ve poured into your campaign worth it, except… 

It’s not easy to replicate this success, especially with a constantly changing technological landscape. For some of us, it’s becoming challenging to target the right people, at the right time, with the right message, the right format, the right platform. Sometimes you wish you could click a button and get some validation that you’re doing things right. That you could have some consistency. That it will become a little easier soon.

In a way, that’s what AI is here for. It specializes in making more data-based decisions (that it analyzes automatically), faster, with a bigger return on investment and surprisingly creative solutions. Today, we’ll explore how AI can help you maximize your paid media campaigns.

Let Go of Fear of Replacement 

As AI makes more headlines, the fear-based conversation gets bigger. The rumor that AI will replace advertisers feels like the truth. That’s likely why we see advertisers who “don’t give [Albert] enough creative materials to allow it to efficiently optimize, or give it too many restrictions,” as Nir Huberman, our product solutions manager here at Albert, shared with us in an interview

But this feeling, like many other fear-based feelings, isn’t likely to represent reality in the foreseeable future. As Sagi Weinberg, Albert’s sales director, clarified in another interview, AI might continue replacing some advertising tasks, but advertising and marketing management will remain human-based, including: 

=> Developing business models and goals. 

=> Deciding on KPI measurement strategies. 

=> Leading the way to the next big steps. 

Therefore, the best way to maximize AI tech for your paid media campaigns is to see it as your ally and work with it. 

For example, the team at Telenor, one of the largest telecom companies in the world, used Albert’s AI powers to supercharge its own and to amplify its capabilities. As a result, its members can more easily turn their vision into results that impress their CEO. Following is what they did. 

Turn Weak Spots into Advantages 

Being smart and strategic, Telenor’s B2B marketing team set out to test their ad campaigns. Unfortunately, they quickly discovered that creating enough assets for all the tests they wanted to run would break their budget. Who wants to go to management and ask for an increase? 

Go explain the details of every test and why it matters. 

So, instead, they tested our platform, Albert

=> Albert mixed and matched countless creative assets. 

=> It ran way more tests than its humans could have beforehand. 

=> Within two days, team members knew which combinations drive the best results. 

=> The team used this data to continually improve their content, creatives, strategies and offers. 

Within a year, the team that almost went to management to ask for a bigger budget is now driving: 

=> 30% lower cost. 

=> 122% year over year lead increase. 

=> 423% return on advertising spend. 

Of course, one of the biggest weak spots preventing advertisers from reaching better results is that they don’t know how to link the top and bottom of the funnel to each other. AI tech has solutions for this, too. 

Connect the Top & Bottom of Your Funnel 

AI can perform multivariate, cross-channel tests, process data, conduct ongoing statistical analysis, and figure out typical behavioral patterns for each part of the funnel… all without coffee. 

We especially loved seeing this with a food and beverage client. As we previously shared, they had ambitious goals, just like we like: 

=> Determine that their branding translates to dollars across 189 counties, and 

=> Grow a new ecommerce site. 

To help them out, our platform, Albert, combined performance ads with a branding video. It leveraged its collected data to understand when to send viewers down the funnel based on engagement levels. 

The result? Much better return on advertising spend. 

Discover Unexpected, Profitable Audiences 

The ability to run so many tests simultaneously also means AI can easily test different types of audiences. That’s something many of us human campaign managers find challenging to do properly. After all, we have endless daily tasks, including… 

=> Structure campaigns. 

=> Test out campaigns. 

=> Optimize creative assets. 

=> Adjust bids. 

You name it, we probably do it. 

However, AI finds it pretty easy to achieve relevance at scale. It has mountains of data that, somehow, don’t overwhelm or distract it. It doesn’t lead to procrastination, and doesn’t take ages to complete. 

It quickly tries thousands of variations – both text-only and text-image combinations – on a variety of… 

=> Segments. 

=> Keywords. 

=> Placements. 

AI tools, like Albert, can work efficiently while still rocking existing activities and budgets. As a result… 

=> Existing KPIs get sacrificed very little, if at all. 

=> At the same time, AI finds new, profitable audiences. 

=> It also discovers the best performing keywords and ad variations to serve each of these new, profitable audiences. 

As campaign managers, we’re left redefining our conclusions about our creative and marketing strategies in ways we never would have considered before. 

Give AI its Freedom, But Stay in Control 

Being an autonomous digital marketing ally, a platform like Albert serves highly personalized creatives and messages to increasingly larger audiences. It can act upon its conclusions, without pausing to ask for permission. This allows us advertisers to maximize performance, scale and budgets with little effort and dedicated time. 

However, letting AI run free could lead to disastrous results, of course. Therefore, like we said above, humans are still needed. Importantly, advertisers that successfully maximize their AI tech for paid media success… 

=> Define campaign goals. 

=> Define a measurement strategy and one source of truth. 

=> Set guardrails. 

Guardrails can include rules to stop or shift activity if certain things take (or don’t take) place. It could also mean monitoring keeping humans at the forefront of campaigns. 

At Albert, for example, we provide two human managers for each client. The intention is to… 

=> Support our advertiser clients in leading the direction of their campaigns. 

=> Monitor campaign progression and verify campaigns go according to human intentions. 

=> Protect brands’ safety and health. 

As the AI-based world progresses, get a couple of extra managers and a platform that’s trusted by the world’s leading companies on your side, too. Book your demo to see how you can scale in 90% of the biddable universe. 

How AI-Human Collaboration Skyrocketed 4 Real Campaigns

ChatGPT, Dall-E… AI is making a lot of global noise, especially taking over the advertising and marketing industry with great hopes of making it better. At Albert, we believe that AI isn’t about fully replacing us humans. Instead, it’s about empowering marketers with tools that help with some of our tasks, and free us to focus on business driving strategies, that take our efforts to the next level. 

Albert was developed based on the notion that you can simply get much more done and see immediate results in less time than you could expect. It’s the AI platform that combines marketing departments, plans advertising strategies in advance, executes campaigns, and optimizes along the way. 

To provide an idea of what’s possible when advertisers join forces with AI, we decided to pull the curtains for a behind the scenes look at our customers’ campaigns. Check out these 4 case studies: 

1) A Retail Brand Increased Return on Ad Spend by 30% with Better Efficiency and Insights 

Challenge: Crabtree & Evelyn has been pampering customers with home spa products and fragrances, among others, since 1972 in over 200 stores across 65 countries. Its advertisers managed campaigns manually and kept reaching the same audience. The company wanted to reach new audiences, yet lacked necessary insights. 

Solution: Albert gained data from all previous media campaigns initiated by the brand, understanding what’s working via multivariate testing, and only then, cautiously, used the company’s budget to run new and smarter campaigns on social and search platforms 

Results: The company welcomed new personas data and, with Albert’s insights, understands its customer journey better. That contributes to both branding and product development. Return on ad spend quickly increased by 30% – without increasing media spend. 

Read the full case study here

2) A CPG Brand Gains a 20% Revenue Increase during the Most Competitive Time of Year… in Previously Considered Lackluster Geographies 

Challenge: A high growth CPG brand, with thousands of products, needed to grow its margins for established distribution channels as well as its developing eCommerce presence. It needed to do so in a crowded market. Moreover, it decided to let go of its agency and needed in-house help. 

Solution: Around Black Friday, the country was split between the agency and Albert, the latter getting less valuable territories. Albert combined previously connected campaigns into one prospecting machine, and discovered profitable customer micro-segments. It autonomously strategically shifted budgets between channels. The scale it reached was more than a human could do. 

Results: At the most competitive time of the year, in geographies the brand discounted, Albert generated a 20% revenue increase for the brand. 

Read the full case study here. 

3) FMCG/CPG Company Reduces 72% of Costs After Quickly Testing 11,340 Options 

Challenge: A global snack food company wanted to increase registrations for its loyalty program. 

Solution: Using all the historical data, Albert targeted the most obvious customers and reduced the cost per lead from $10.75 to less than $3 – within a week. Then, it started testing other audiences and gave them more signup options. It created 30 ad sets, tested them out, paused the low performing 15 creative assets, and autonomously shifted the budget to high performers. Then, the company was able to produce more accurate new assets. Albert used them to create 30 more ad sets. 

Results: After quickly testing 11,340 variations in strategies, channels and audiences, Albert had 35 ad sets it created, which, together, delivered 87% of the budget. The added bonus? The company discovered their audience doesn’t respond well to the character-focused messaging it had been using. Instead, their audience prefers promotions while getting shown a range of options. 

Read the full case study here

4) Global Insurance Firm Increases ROAS by 130% Within 30 Days, 200% Within a Month 

Challenge: Siloed marketing efforts and lack of data kept a global agency from scaling. 

Solution: Albert took over the company’s advertising. It discovered new insights, such as when there was a need for more visuals, as well as new audience segments – all within a week. 

Results: The goal of 130% return on advertising spend was met within 3 days. 200% within a month. 227% year over year conversion increase. 

Read the full case study here

Skyrocket Your Campaign, Too 

When advertisers work with Albert, you give it your KPIs and creative assets. And access to your data, of course. Albert takes over all the time consuming stuff – planning your strategy, executing your campaigns, restructuring creative assets in a large variety of combinations, optimizing audience targeting and budget allocation… you name it. It has over 200 skills. 

That said, Albert is, of course, a software. A very smart AI software, but still not a human being. Therefore, anyone who works with Albert also gets an account manager and a campaign monitor, who verify Albert doesn’t make some embarrassing mistakes. Advertisers get lots of automation without giving up campaign control. 

Make your next campaign (and the one after that) a success story. Check out Albert here

Why AI Won’t Replace Marketers 

An interview with Sagi Weinberg, Sales Director at Albert

We completely understand why people fear the recent uprising technology. “As ChatGPT, MidJourney and other AI tools gain popularity, people hear about their phenomenal capabilities, yet aren’t familiar with these technologies. Therefore, they tend to think that, just like AI-based robots have replaced employees in large logistical facilities, they’ll replace content writers, programmers, designers and marketers,” says Sagi Weinberg, Albert’s Sales Director. Sagi, a long-time digital marketer with background in Sales, has vast experience in leading brands to great success. Sagi is highly experienced in planning and executing holistic marketing strategies aimed to drive measurable and sustainable bottom line results by identifying the business’ structure and needs, considering online and backend flows, creating a healthy marketing mix, devising a full funnel, channel-customized approach and implementing the right technologies.

With the latest talk about AI, many online publications are capitalizing on this trend, as amplifying fears means amplifying clicks. Before we know it, a range of professions seems to be on the edge of extinction. But for marketers, at least, it’s not the end of the story. As the following interview clarifies, AI won’t replace marketers. 

Why AI Makes Marketers More Valuable 

It’s true, Sagi says – “humans have inherited limitations. They take vacations, take weekends off, get sick and need to sleep. A machine doesn’t. It also doesn’t tire or get confused by processing amounts of data humans simply aren’t able to.” So again, marketers’ fears are understandable. But “that’s exactly where humans can capitalize and use machines to enhance their capabilities,” Sagi says. 

Set the Foundation for More Efficient Campaigns 

“AI helps you connect the dots between online and offline marketing efforts,” and between top and bottom of the funnel, Sagi says. “It closes the loop on the whole funnel,” he says. 

Therefore, he explains, marketers can focus on a coherent, unified strategy that leads to better growth, more efficiently. 

Simplify and Deepen Market Research 

… and do so at a greater speed, Sagi says. AI can find low hanging fruit audiences that us humans never would have considered, like Americans buying gifts for an Australian holiday because they have loved ones in Oz. It can also let you know how to communicate better with your existing, but lower performing audiences. 

Test A Wide Range of Creative Assets 

There’s only so much campaign managers can do manually on a daily or weekly basis, but there’s no limit for what AI can do. In our platform, Albert, for example, you can automatically test a wide range of copy-visual combinations to quickly find the best fit for each audience segment. It actually does it for you, without the need to set anything up. With one time setting and uploading of assets, Albert creates new creative sets for either search or social platforms, knowing the limitation of each platform (creative wise). 

Free Up Your Creativity 

Even though AI takes the mixing and matching of creative assets, humans are still the ones creating the assets. In addition, according to Sagi, when AI does the heavy lifting on time consuming activities, such as massive testing and data analysis, marketers have more availability to delve into and express their creativity – not just in copy or design, but in strategy, too. 

As Joe Hart, president and CEO at Dale Carnegie & Associates, reports, “creative companies are 1.5 times more likely to command a greater market share” and 67% of “the most creative companies… had above-average organic revenue growth.” Meaning, AI won’t replace marketers because companies need the marketers that combine forces with AI tools. 

Make the Most of Your Budget 

Sagi says that, with AI, “you can manage budgets in an unbiased, efficient manner. AI tools don’t have a platform preference. They can look at your whole activity from a bird’s eye view, and automatically shift budgets within the channel and across channels, toward the best performing activities.” 

Optimize 24/7 

“Campaign managers, and CMOs use tools like Albert to perform optimizations 24/7, even when they sleep,” Sagi says. “AI can analyze huge volumes of data at any given moment. Tools like Albert are capable of simultaneously analyzing stats of multiple ads, across multiple campaigns in various platforms, and across different channels,” he says. 

“Plus, rather than looking at last month’s best performing ad, keyword or audience, which us humans usually do, AI can do it live, while also exploring new audiences,” he says. “It uses one set of logics that make all the decisions unified and persistent, without compromising KPIs,” he says. 

And it keeps you in the loop. Albert, for example, “plugs into your ad account, manages the activity and later shows the number of calculations that were made, the amount of actions that were taken, the best performing ad variations and geographies. It breaks down the most relevant audiences and provides in-depth insight on every step of the marketing funnel in every channel respectively, as well as the whole paid media activity holistically, to help marketers make the right decisions in terms of brand-level creatives, localizing creatives for specific markets, and all the way down to adding keywords they could never have discovered otherwise to a landing page,” he says. 

Before AI, “humans could only dream of such efficiency,” he says. 

How AI Helps Marketers Prove Their Value to the C-Suite 

As a late 2022 LinkedIn and YouGov survey revealed, “77% of CMOs globally feel under pressure to prove greater short-term ROI on their marketing campaigns.” 

Sagi agrees. He thinks that, not only AI won’t replace marketers – but it will also help them keep their jobs and thrive professionally. “A clear view of results is essential for decision makers,” he says. Thankfully, “there are many ways to test the efficiencies of humans vs. machines. Efficiencies can be measured on many levels, including saved time, growth and other success metric improvement,” he says. 

You can even measure the machine’s success directly vs. your best PPC marketers. But be aware – every time we did this here at Albert, the machine won. So be prepared to share that alongside the achievements your human team accomplished thanks to more time, better data processing and deeper audience targeting. 

AI Won’t Replace Marketers Because AI Needs Marketers to Succeed 

According to Sagi’s insights, today’s popular AI tools are great for amplifying marketing, but marketing management still requires the human element. Marketers are still needed – and will be needed for a while – to develop and manage the vision, goals and business model. They need to decide how they measure KPIs, and take all the above into account, in addition to the company’s limitations, when reviewing actionable analytics and deciding on next steps, he explains. 

Therefore, it’s marketers who “decide on appropriate budgets, determine dates for time-sensitive or seasonality related promotions, etc. Those are strategy level decisions humans will always be necessary for,” he adds. 

And there’s more. Marketers are the ones who understand their brands best – on top of industry regulation, sensitivities and brand safety. “They need to make sure they adhere to those requirements,” he clarifies. 

“This is how Albert was designed,” he says, inviting you to get in touch for a free demo with his team. “It was designed to work hand-in-hand with humans. Humans are the ones who set the guardrails, define guidelines, and have a confined framework configured to the AI to work within,” he says. “It’s your brand, and you’re still its leader.”

Albert AI for Creative Optimization generates 800% Ad Spend Return

With ad creative optimization subject to user biases, like preferences for bold headlines, images, and colors, etc., Zoomd-owned Albert AI technology enables true creative optimization driven by real-time creative performance across products, ads, campaigns, and market segments.

One of the last areas of marketing to benefit from AI-driven optimization is ad creative.

The actual creation of ads will probably be the last area of marketing to benefit from AI-driven technology, even with the recent breakthrough of technologies like Chat GPT-4.

But the optimization of ad creative is very well-suited for AI technology today because of the subjectivity people apply when optimizing ads. While it’s easy to compare the performance of two distinctly different ads, optimizing creative performance to determine the optimal size and color of the font for the ad’s headline and other subjective creative elements is difficult for people because of our inherent biases.

“A creative director who has succeeded with bold headlines or has a preference for certain colors and color combinations will bring these biases to the ad creation and optimization process,” said Nir Huberman, VP Product at Albert AI, part of the Zoomd marketing and publisher platform. “But Albert is more methodical, breaking down each potential parameter that impacts performance, testing each one by one. That’s why Albert’s technology can improve creative performance by optimizing ad parameters from among the options provided which enables exceeding client KPIs. Albert also provides a lot of value for marketers by knowing when to refresh or replace an ad’s creative.”

And by determining which ad creative performed best using Albert, marketers are in a better position to create new ads that will perform.

An e-commerce company contracted to work with Albert AI with the stated KPI of increasing Return On Ad Spend (ROAS) by 500%, a KPI that Albert’s team believed was realistic. A few months after the conclusion of the onboarding process, Albert achieved an 800% improvement in ROAS. And in subsequent years, this e-commerce company, now in its fourth year working with Albert, is still achieving improvements in ROAS that are between 10-20%.

For this e-commerce company, Albert was able to optimize ad creative by creating the best-performing ads for each target segment and each ad platform/channel. Albert’s technology creates the optimal ad by selecting the best images, colors, fonts, and texts that will generate the most cost-effective performance for the target audience. Finally, Albert’s technology was able to efficiently determine when to refresh and then change ads to ensure optimal ROAS.

Albert is an advertiser and an agency’s autonomous marketing ally. The technology leverages AI to create ads that optimize campaign performance, from keyword, audience, platform, and device selection and bidding to creative optimization across search, social, display, and cross-channel. Albert assists marketers and agencies – from defining campaign strategies and messaging to the creation and optimization of ads across audience segments and platforms. By working 24/7 to continuously optimize campaign performance, Albert AI complements marketer and agency teams, giving them the insights to make them smarter as well as more efficient and effective.

6 Advertiser Blind Spots To Overcome in 2023

With the excitement of a new year comes an increasing sense of responsibility to deliver meaningful results for our companies. 2023 started with a bang – not only a looming recession but also article after article predicting how machines will replace many of us in the advertising industry. 

The best and most optimal results can only be achieved with human-machine collaboration even in these AI-ruled days. We have seen AI helping advertisers overcome significant blind spots time after time, and we know it can help you too, whichever tool you choose to use. Here are 6 major blind spots you must overcome in 2023 to make a real difference in your company’s bottom line. 

1) Acquisition or Retention? 

Now that we’re in a recession, budgets get limited, and you find yourself wondering where to invest more. Some say retention must come first. They say that, if you invest in the customers you already have, you’ll grow tenfold. Customers that have already had great experiences with your product, will want to buy more. They’ll tell their friends – a recommendation that’s worth way more than anything we can say about our brand ourselves. 

Some are pro acquisition – the more customers you have, the better. They know that many customers churn, and you have to keep spreading brand awareness, to keep introducing your products to as many people as possible. This way, they say, you’ll always have a solid, growing customer base. 

Usually, they’re both right. We need to take good care of the customers we already have, while constantly introducing our brand to new audiences. But we often don’t have enough data on what drives larger lifetime value in our specific situation, what that lifetime value is worth to us, or what types of campaigns work best for each type of customer. And if we’re looking for new customers… We don’t always know where to find them. 

2) We Can’t Find New Audiences 

If you set out to find new audiences and keep landing on the same ones you’ve already reached, you’re not alone. 

=> Maybe we’ve thought of our product one way, and didn’t know it could have additional usages. 

=> Maybe a feature we discounted was gold for someone out there. 

=> Maybe new audiences hide in plain sight, like a small market within our segmentation, that with some new messaging, could grow exponentially. 

If you’re not reaching new audiences, you’re not leveraging enough – or the right – media sources. You need to find new places to advertise. Albert, for example, uses existing audiences’ interests and lookalikes on Google and Facebook, among others, to find new audiences. It also makes it easier to discover what each of your audience segments wants. 

3) What Each of Our Segments Wants 

After testing 11,340 variations in audiences, channels and strategies, we managed to discover a global FMCG/CPG company used the wrong messaging. Wanting to connect with their audience, they used messaging that focused on character, when their audience actually wanted to get promotions across a range of options. 

But who has the time to run 11,340 tests? 

An AI software. In this case, testing was done quickly, way faster than what a human could do. 

4) The Right Personalization for Every Situation of Every Segment 

The more accurate you are, the more each segment will feel understood and seen, the more likely they are to click and convert. But what happens if you have hundreds, or even thousands, of segments? 

You need automation. 

Some AI-driven AdTech, like Albert, can take… 

=> A wide variety of ad copy options 

=> … and visual options 

=> … and audience segmentation options 

… and create a long list of combinations, which it can then check across audiences and channels. It can do so responsibly, spending most of your budget only on the best-performing options. It can give you insights, or use them itself to plan the next step of the campaign. 

5) How Unconnected Campaigns Impact Each Other 

If you advertise offline – OOH, TV, CTV – you need a way to connect these ads’ performance with your KPIs, so you can know how effective they are. There’s a variety of ways to do it. Connecting what seems like unconnected campaigns can help. For example, one of our clients only advertised on a specific TV show, then targeted that show’s audience online for better measurement. 

But whether you advertise offline or not, what do you do when you reach your audience members? How do you know they’re ready for the next funnel stage? 

Data, of course. You want to see enough signals that tell you this lead is “worth” investing in further. But there’s only so much you can discover about a lead from one channel or one point in time. To truly understand a lead, you’ve got to look at… 

=> Her behavior and preferences in every separate channel. 

=> Consider your ideal customer’s overall experience and behavior across channels. Maybe she searches on Google, but only buys the actual product from TikTok influencers she trusts? 

=> Analyze her historical data, including what she’s searched, what she’s put in her cart, the content she’s interacted with, etc. 

As human advertisers, we’ve got to prioritize our data analysis and campaign tasks. No matter how big our departments are, we can’t do it all. Therefore, it’s very challenging – especially if you have lots of products and/or large audiences – to do it manually. With AI, you dedicate some time to set it up and monitor it, but it can do a lot more than we can in a lot less time. 

6) Where Our Money is Best Spent 

Ultimately, overcoming your advertising blind spots means you’ll know how your money is best spent. Among others, you need to know: 

=> Which messaging works best for which segment, and in which situations 

=> Which visuals work best with which texts 

=> Which channels convert best with which audience segment and/or creative asset 

=> How different channels impact one another, and how to build an omnichannel campaign that takes historical data into consideration, too.  

If you need a tool that can simplify this for you – even automate it for you – check out Albert:  

Do Things Differently This Year 

Albert is all about saving you time, making your work more efficient, empowering your creativity, simplifying your work and keeping you in control. 

Our AI AdTech software can take your KPIs, analytics and creative assets and turn them into a data driven, self-improving omnichannel campaign.  

That said, while we trust Albert, we do provide extra human support to monitor campaigns, to verify they’re brand safe and everything is going on track, just as you want. 

Ready to give it a try? Schedule your free demo

Our Product Solutions Manager Reveals: 7 Critical Requirements for Machine-Advertiser Collaboration in 2023 

We’ve been hearing about robots taking over humans’ jobs for decades in almost every professional specialty imaginable, including industrial factories, the legal industry and, of course, advertising. 

Yet here at Albert, we believe in human-machine collaboration (AKA advertising technology). There are some tasks that only humans can do, so outsourcing the rest to machines helps us do them better. But what makes a great collaboration? You know, the kind that generates significant results, that make advertisers the new stars of their companies? 

To find out, we talked to our very own Product Solutions Manager, Nir Huberman. Nir has been in the industry for about a decade and a half. At Albert alone, he spent the past 12 years climbing his way up from head of optimization to head of product and, then, to VP of product solutions, so he has tons of behind the scenes knowledge. Here are his top requirements for machine-advertiser collaborations that will increase your bottom line in 2023. 

1) Create a Holistic, Omnichannel Marketing Operation 

If your marketing departments work in silos, you’re not alone. Too often, companies separate teams per channels, platforms or strategies. They have different departments for Google, TikTok, direct marketing, digital marketing – you name it. It’s understandable, as every part of marketing requires its own specialization. But no channel or platform exists on its own. 

What you do on one platform impacts how customers experience your brand elsewhere, online or off. Just as importantly, the data you generate on one platform can help you optimize results everywhere else you operate. 

Therefore, after working with leading brands from across the world, Nir suggests unifying your entire marketing operations. This is especially useful when working with machines. You already have a machine that can process lots of data, plan and execute a complex strategy… You might as well make the most of it and let it optimize your entire marketing results across channels. 

2) Combine Paid with Organic 

Nir recommends taking your holistic marketing collaboration even further by combining paid with organic into one plan. 

“As a strategic business, you want to use your paid efforts to empower your organic efforts – brand awareness, direct communications, loyalty programs, email, etc,” he says. “When you strengthen your customer base, you create a business that’s objectively healthier,” he explains. 

3) Plan Way Ahead 

“If I give my machine a $100,000 budget in November and don’t tell it there’s this thing called Black Friday, it’ll likely blow the entire budget before Black Friday. The same goes for annual planning,” Nir says. 

“Look ahead at your entire year. This is my budget, these are my KPIs, these are my strategic dates, milestones and promotions across the year. Strategize on an annual level, and your advertising machine will work much more efficiently,” he says.  

4) Set Undisputed Success Metrics 

The most critical part of collaborating with machines, according to Nir, is getting clear on your KPIs (key performance indicators or success metrics). Often, we want… 

=> Leads, but also to… 

=> Limit how much we pay per click, but also to… 

=> Determine our lead to sale conversion rate, but also to… 

=> Use multiple tools to measure the same metrics, but also… 

… it’s a sure way to set ourselves to fail, or at the very least, leave ourselves without an accurate measurement we can use to strategically predict future success. 

“Understanding what’s actually essential for the business and being specific are prerequisites,” says Nir. “When I tell a machine to rely on Google Analytics, it pulls all the data and studies the process there. If I change things a week later, I lose everything the machine has learned and need to start training it from scratch,” he says. 

5) Conduct Ongoing Monitoring 

Another key requirement when choosing and working with AdTech is your ability to monitor its activity and impact how it will move forward. “Don’t just set it and forget it, or come back a month later,” Nir says. 

Sure, your advertising machine relieves a lot of your previous duties, but your help is still needed. “Look at how your campaign is going at a high level, and if something looks off, talk about it with your account manager or make changes in the software. Maybe you need a specific integration, for example. Either way, without your feedback, it’s hard for the machine or its providers to help you, because there are things only you and your team know,” Nir says. 

6) Choose Great Tools 

Nir stretches the significance of choosing tools that actually support your goals. Once you figure out your long term and short term KPIs – remember to be specific and consistent – make a list of everything you want to accomplish with the type of tool you’re looking to add to your toolbox. 

“There are many tools that help you run campaigns. Usually, they recommend what’s best to do, or you set a test and use the tool to better understand your audience. We built Albert to both plan and execute campaigns. Among others, it builds a budget, manages your creative assets, stops what doesn’t work, continues what does, and so much more,” he says. You need to understand what’s missing from your current arsenal of team members and software products, and only then go out and get it. 

7) Trust the Process 

“Think about autonomous cars. There are many driving aids, but there isn’t a car where you get in, tell it to take you to the office, and that’s it. You still have control over the car. You can still make changes. But you need to trust the car to take you where you need to go. Yet people are scared. And it’s hard for them to let go of control in campaigns too. For some, there’s a big fear to let go of a large media budget. For others, they think they can drive the campaign better than other humans or machines,” Nir says. 

“We see this with Albert. Sometimes, people don’t give it enough creative materials to allow it to efficiently optimize, or give it too many restrictions,” he says. Again, it’s important to stay on top of what your machine is doing, to monitor it, give feedback and make adjustments when necessary. You’re in charge of teaching it how to serve your campaigns best. But simultaneously, you’ve got to let go and let it do its thing if you want it to thrive. 

Is There Really a Robot You Can Trust to Combine Departments, Plan Ahead, Execute Campaigns, Optimize as it Goes and Leave You with Full Control? 

Yep. It’s called Albert. 

We built it to be an AI marketing solution that’s basically your self learning ally – with over 200 skills. To give you an idea of what you can expect with Albert: 

=> You give it your KPIs, creative assets and analytics. 

=> It plans and executes your advertising strategy. You don’t have to choose which one to automate. 

=> It takes your creative assets and restructures them in a wide range of ways, so it can run countless tests across channels. 

=> You get protection mechanisms – both an account manager and a campaign monitor – to prevent unwanted mistakes. 

=> You get lots of automation, but still maintain control to verify Albert focuses on what matters most for you. 

It’s like getting more time, or an extra team member. Click here to learn more, let go of day to day tasks, and focus on business driving moves. 


How to Achieve Cross-Channel Advertising Success

What is Cross-Channel Marketing?

Hubspot defines cross-channel marketing as “blending together your various marketing channels in a way that creates logical progression for your target audience to progress from one stage to the next.” In other words, cross-channel marketing involves using different channels to make sure consistent, holistic, and seamless messaging is reaching your target audience across devices, technologies, and platforms.

The Importance of Personalized Marketing

Cross-channel marketing is the best way to reach more people, build better audience connections, and drive ROI. According to last year’s Salesforce State of Marketing report, 84% of customers say being treated like a person instead of a number is very important to winning their business. It’s so important that 69% of buyers even expect Amazon-like buying experiences – like very personalized recommendations – that only a truly cross-channel approach can deliver. Marketers have realized this need by noting it as their #1 priority; however, it’s also their top challenge. Only 49% of marketing leaders report providing an experience that completely aligns with customer expectations. High performing marketers stand out by delivering personalized messages to the right people at the right time on the right channels.

Solving Cross-Channel Complexities

Delivering personalized messaging is daunting, so many marketers avoid coordinating across paid search, social and programmatic channels due to the complexity and speed required to execute. With so many moving parts to keep track of, it can be nearly impossible for even the most sophisticated marketing teams or agencies to break down silos, sync up, and maintain consistency across audiences, campaigns and promotions.

So, how can marketers execute effective cross-channel campaigns to keep up with the rapidly changing demands of consumers? Intelligent, cross-channel marketing AI software is proving to be the only way.

Machine Learning: The Cross-Channel Answer

There are inherent limitations when people manually optimize campaigns, try to align messaging across paid channels, and aim to inform other teams about insights gleaned from campaigns. Artificial intelligence tools can manage the complexities of personalized marketing involved in cross-channel campaigns at a pace and scale not humanly possible.

Autonomous AI software can conduct time-consuming, data-intensive tasks required to compete in today’s digital advertising channels. The technology can ingest and precisely measure mass amounts of structured and unstructured data from multiple touchpoints and interactions across channels. It is technology that can learn on the fly and execute on marketers’ behalf in ways that were previously impossible. Marketers suddenly discover that it is possible to master the challenging digital advertising landscape.

Successes With AI

Albert, the world’s first autonomous marketing AI, manages cross-channel, paid digital campaigns by using a complex, multivariate approach to relentlessly evolve and optimize towards the goals marketers provide.

Within the guardrails set by an agency or brand, Albert will optimize bids, shift budgets, and test creative combinations 24/7. The intelligent machine gathers valuable insights about the customer experience in a way that has never been possible before. For example, AI can uncover ad variations that are resonating with segments of consumers at a certain stage, identify which creatives are outperforming, and unveil prospects that brands can target to increase conversions in other channels.

Additionally, Albert’s technology aligns to each brand’s source of truth to inform marketers about the contribution that each channel delivers during different customer journeys, as well as impact on total conversions. Ultimately, an AI tool like Albert helps marketers understand the most efficient paths to conversion, achieve greater visibility, and drive greater ROI.

Marketing AI isn’t just the future of digital advertising; it’s already here and is proving to be the ideal way for marketing and advertising teams to achieve cross-channel success and stay ahead of the competition.

To learn how one marketing team tied real-time insights to cross-channel digital ad campaign orchestration using Albert, read this case study.