Politics
RPA Get Smarter – Ethics and Transparency Should be Top of Mind
Published
2 years agoon
By
Drew Simpson
The early incarnations of Robotic Process Automation (or RPA) technologies followed fundamental rules. These systems were akin to user interface testing tools in which, instead of a human operator clicking on areas of the screen, software (or a ‘robot’ as it came to be known) would do this instead. This freed up user time spent on exceedingly low-level tasks such as scraping content from the screen, copy and paste, etc.
Whilst basic in the functionality, these early implementations of RPA brought clear speed and efficiency advantages. The tools evolved to encompass basic workflow automation in the following years, but the process was rigid with limited applicability across an enterprise.
Shortly after 2000, automation companies such as UiPath, Automation Anywhere, and Blue Prism were founded (albeit some with different names at their initial incarnation). With a clear focus on the automation space, these companies started making significant inroads into the enterprise automation space.
RPA gets smarter
Over the years, the functionality of RPA systems has grown significantly. No longer are they the rigid tools of their early incarnations, but instead, they offer much smarter process automation. UiPath, for example, list 20 automation products on their website across groups such as Discover, Build, Manage, Run & Engage. Their competitors also have comprehensive offerings.
Use cases for Robotic Process Automation are now wide and varied. For example, with smart technology built-in, rather than just clicking on-screen regions, systems may now automatically extract content from invoices (or other customer-submitted data) and convert this into a structured database format. These smart features may well be powered by forms of Artificial Intelligence, albeit hidden under the hood of the RPA application itself. Automation Anywhere has a good example of this exact use case.
Given the breadth of use cases now addressed by RPA technologies across enterprise organizations, it is hard to see a development and product expansion route that does not add more AI functionality to the RPA tools themselves. Whilst still being delivered in the package of Robotic.
Process Automation software, it is likely that this functionality will move from being hidden under the hood and used to power specific use cases in the RPA software (such as content extraction) to function in its own right that is accessible to the user.
The blurring of AI & RPA
The RPA vendors will compete with the AI vendors that sell automated machine learning software to the enterprise. Termed AutoML, these tools enable users with little or no data science experience (often termed citizen data scientists) to build custom AI models with their data. These models are not restricted to specifically defined use cases but can be anything the business users wish to (and have the supporting data to) build.
With our example above, once the data has been extracted from the invoices, why not let the customer build a custom AI model to classify these invoices by priority without bringing in or connecting to an additional 3rd party AI tool? This is the logical next step in the RPA marketplace; some leaders in the space already have some of this functionality in place.
This blurring of the lines between Robotic Process Automation and Artificial Intelligence is particularly topical right now because, alongside the specialized RPA vendors, established technology companies such as Microsoft are releasing their own low-code RPA solutions to the market. Taking Microsoft as an example, it has a long history with Artificial Intelligence. Via Azure, its many different AI tools, including tools to build custom AI models and a dedicated AutoML solution. Most relevant is the push to combine their products to make unique value propositions. In our context here, that means it is likely that low-code RPA and Azure’s AI technologies will be closely aligned.
The evolving discussion of AI ethics
Evolving at the same time as RPA and AI technologies are the discussions, and in some jurisdictions regulations, on the ethics of AI systems. Valid concerns are being raised about the ethics of AI and the diversity of organizations that build AI.
In general, these discussions and regulations aim to ensure that AI systems are built, deployed, and used in a fair, transparent and responsible manner. There are critical organizational and ethical reasons to ensure your AI systems behave ethically.
When systems are built that operate on data that represents people (such as in HR, Finance, Healthcare, Insurance, etc.), the systems must be transparent and unbiased; even beyond use cases built with people’s data, organizations are now demanding transparency in their AI so that they can effectively assess the operational risks of deploying that AI in their business.
A typical approach is defining the business’s ethical principles, creating or adopting an ethical AI framework, and continually evaluating your AI systems against that framework and ethical principles.
As with RPA, the development of AI models may be outsourced to 3rd party companies. So evaluating the transparency and ethics of these systems becomes even more important given the lack of insight into the build process.
However, most public and organizational discussions of ethics are usually only in the context of Artificial Intelligence (where the headlines in the media are typically focused). For this reason, developers and users of RPA systems could feel that these ethical concerns may not apply to them as they are ‘only’ working with process automation software.
Automation can impact people’s lives
If we go back to our example of invoice processing used before, we saw the potential for a custom AI model within the RPA software to automatically prioritize invoices for payment. The technology shift would be minor to change this use case to one in healthcare that prioritized healthcare insurance claims instead of invoices.
The RPA technology could still extract data from claims documents automatically and translate this into a structured format. The business could then train a custom classification model (using historical claims data) to prioritize payments, or conversely, flag payments to be put on hold pending review.
However, here the ethical concerns should now be very apparent. The decision made by this model, held within the RPA software, will directly affect individuals’ health and finances.
As seen in this example, what may seem like relatively benign automation software is actually evolving to either reduce (or potentially completely remove) the human in the loop from critical decisions that impact people’s lives. The technology may or may not be explicitly labeled and sold as Artificial Intelligence; however, the notions of ethics should still very much be top of mind.
We need a different lens
It may be better to see these ethical concerns, not through a lens of AI but instead, one focussed on automated algorithmic decisioning.
The reality is that it is not just the fact that AI technology may be making decisions that should be of concern, but in fact, any automated approach that does not have sufficient human oversight (whether this is powered by a rules-based system, Robotic Process Automation, shallow machine learning or complex deep learning for example).
Indeed if you look to the UK’s recently announced Ethics, Transparency and Accountability Framework, which is targeted at the public sector, you will see that it is focussed on ‘Automated Decision-Making.’ From the guidance document, “Automated decision-making refers to both solely automated decisions (no human judgment) and automated assisted decision-making (assisting human judgment).”
Similarly, the GDPR has been in force in the European Union for some time now, making clear provisions for individuals’ rights concerning automated individual decision-making. The European Commission gives the following definition: “Decision-making based solely on automated means happens when decisions are taken about you by technological means and without any human involvement.”
Finally, the state of California proposed in 2020 the Automated Decision Systems Accountability Act with similar goals and definitions. Within this Act Artificial Intelligence (but not Robotic Process Automation explicitly) is called out: “‘Automated decision system’ or ‘ADS’ means a computational process, including one derived from machine learning, statistics, or other data processing or artificial intelligence techniques, that makes a decision or facilitates human decision making, that impacts persons” with assessment for accuracy, fairness, bias, discrimination, privacy, and security. Therefore, it is clear that the principle of the more general lens is recognized in public policymaking.
Enterprises should apply governance to RPA too
As organizations are putting in place teams, processes, and technologies to govern the development and use of AI within their organization, these must be extended to include all automated decisioning systems. To reduce the burden and facilitate operation at scale within large organizations, there should not be one set of processes and tools for RPA and one for AI (or indeed, for each AI model).
This would result in a huge manual process to gather the relevant information, make this information comparable, and map it to the chosen process framework. Instead, a unified approach should allow for a common set of controls that lead to informed decision-making and approvals.
This should not also be seen at odds with the adoption of RPA or AI; clear guidelines and approvals enable teams to go ahead with implementation, knowing the bounds in which they can operate. When using the more general lens, rather than one just targeted at AI, the implication becomes clear; ethics should be top of mind for developers and users of all automated decisioning systems, not just AI, which includes Robotic Process Automation.
Image Credit: pixabay; pexels; thank you!
Stuart Battersby
Chief Technology Officer @ Chatterbox Labs
Dr Stuart Battersby is a technology leader and CTO of Chatterbox Labs. With a PhD in Cognitive Science from Queen Mary, University of London Stuart now leads all research and technical development for Chatterbox’s ethical AI platform AIMI.
Politics
A Guide to Identifying and Avoiding Top Crypto Scams
Published
3 hours agoon
06/04/2023By
Drew Simpson
The surge in popularity of Bitcoin and other cryptocurrencies has a dark underbelly. It is spurring the growth of a vast cybercrime industry rife with numerous scams. Cunning wrongdoers are preying on unsuspecting Internet users, hoping to trick them into losing their Bitcoins. In this article, I will shed light on the most common cryptocurrency-related scams, providing tips on staying safe when using crypto.
Ponzi schemes
Some websites may entice you with irresistible crypto offers that seem too good to be true. They promise to multiply your Bitcoin holdings in a short span, like doubling them overnight. However, this is often a classic sign of a Ponzi scheme. Once you part with your Bitcoin, the chances of even recovering your original amount are slim to none.
Protection:
- Be suspicious of any investment that promises guaranteed returns. Investments always come with risk, and anyone promising a sure profit is likely not being honest.
- Legitimate investments make money through a clear business model. If you cannot understand how an investment makes money, that is a red flag.
- Ponzi schemes are highly dependent on recruiting new members. If you are pressured to bring in more people to make money, it might be a Ponzi scheme. These websites often incorporate referral programs enabling members to earn money by bringing in new customers. If you spot a referral link in URLs, it should raise a red flag. These referral links typically look something like this: superwebsite.com/?ref=9472.
- Before investing, check with your country’s financial regulators to see if the company is registered and if any complaints or actions have been taken against it.
- Do not invest more than you can afford to lose.
Cloud mining
Cloud mining is a cryptocurrency mining process that utilizes a remote data center with shared processing power. In essence, cloud mining providers rent out their mining hardware and their computational abilities to clients, who can then mine cryptocurrencies without having to purchase and maintain expensive mining equipment. While the concept itself is excellent and entirely legitimate, fraudsters often launch deceptive schemes. They entice potential investors with lofty promises, only to deliver significantly lower returns than promised if any at all.
Protection:
- Ensure the website provides clear and transparent information about which mining pool is used and who manages it. This also includes information about their mining facilities, the types of hardware they use, and their mining capacity.
- Check contract details. In a legitimate cloud mining contract, details like the cost of the contract, the amount of processing power you will receive, and other terms should be clearly stated. If these details are not precise, be cautious.
- Seek advice from an independent cloud mining advisor or someone knowledgeable about cryptocurrency mining.
Bogus crypto exchanges
Beware of advertisements promising to sell Bitcoins at bargain prices or with minimal transaction fees. These could be a bait to draw you to a fraudulent cryptocurrency exchange website. Another telltale sign of a scam is the PayPal to BTC exchange ruse. Websites running this scam typically present you with a form asking for your PayPal email and the amount you wish to spend. Following this, a QR code is generated to authenticate the transaction. But, alas, the promised Bitcoins never arrive, and you are left with a compromised PayPal account instead.
Protection:
- Before using any Bitcoin exchange, do your research. Read reviews from reputable sources and seek opinions from experienced users. You can also check the exchange’s website for information about the company, including how long it has been operating, its physical address, and the names of its team members.
- Many countries require crypto exchanges to be registered and comply with specific regulations. Check if the exchange is compliant with these regulations in your country.
- Be careful not to click on any suspicious links that might be trying to lead you to a fake exchange. Always double-check the URL of the exchange before logging in.
Fake wallets
Identifying deceptive Bitcoin wallets can be a bit trickier, as the main purpose of a wallet is to hold crypto, not to trade it or execute BTC smart contracts. This means that these scams are not usually about immediate financial gain. While they may ultimately pilfer your assets, these rogue wallets often first aim to snatch sensitive data.
Protection:
- Always download wallet software from the official website or a reputable app store. Rogue wallets often disguise themselves as the real thing, but they can only be found in unofficial or unregulated app stores.
- Enable MFA for added security. This requires you to provide two forms of identification, usually a password and a verification code.
- If you are dealing with large amounts of cryptocurrency, consider using a hardware wallet. These are physical devices that store your cryptocurrency offline.
- Ensure your device and any applications you use are kept up to date. This includes the wallet software, your device’s operating system, and any security software.
- If the Bitcoin wallet comes as a downloadable application, it is a good idea to scrutinize it for any potentially harmful code first. Websites such as VirusTotal can be quite useful, as they scan software binaries for recognized threats using multiple antivirus programs at once. If the wallet is open-source, you can check its code on platforms like GitHub. While this may require some technical knowledge, it can provide insight into the wallet’s security and functionality.
- Many crypto wallets provide a way to back up your wallet, often in the form of a seed phrase. You can use this phrase to recover your funds if you lose access to your wallet. Keep this phrase safe and secure.
Good old phishing
Phishing, arguably the most common scam in the digital realm, aims to trick users into visiting a deceptive website masquerading as a well-known and trustworthy service. The malicious email could seemingly come from a cryptocurrency exchange or wallet service you currently use. Cybercriminals typically gather your personal details from numerous past data breaches to use in their phishing emails.
Scammers might also employ online advertisements or dubious SEO tactics to lead you to a counterfeit Bitcoin exchange or wallet when you search for terms like “Buy Bitcoin,” or “Bitcoin exchange,” or “Buy Crypto.” These trapped sites often appear among the top search results.
Protection:
- As a rule of thumb, avoid clicking on links within emails. A deceptive link might appear authentic at first glance, but it uses multiple redirection steps to ultimately land you on a hacker-controlled site. To avoid this risk, directly type URLs into your browser or use your bookmarked links.
- Also, be sure to treat every email attachment with caution. Hackers often use attachments as a means to distribute malicious software.
- Be suspicious of unsolicited communications. When in doubt, check the email address or phone number and get in touch with the company using the contact details provided on their legitimate website.
On-the-spot crypto trading hazards
As Bitcoin theft reaches beyond the digital sphere, new laws and regulations controlling cryptocurrency trading are emerging globally. In some areas, these changes pose challenges to conventional online buying and selling of Bitcoins. This has spurred a shift in the Bitcoin economy, with traders turning to in-person meetings for transactions.
There have been several incidents highlighting the potential dangers of in-person Bitcoin exchanges. For instance, in India, an entrepreneur fell victim to a robbery while attempting to purchase BTC at an appealingly low price. He arranged a meeting with the alleged sellers at a shopping center, only to be ambushed by them and lose the $50,000 he had brought for the transaction.
Protection:
- Avoid in-person meetings with strangers for Bitcoin exchanges, especially if you are carrying large amounts of money.
- If in need, conduct transactions in public places like coffee shops or shopping centers. These locations are generally safe as they are often crowded and have surveillance cameras. Inform others of your whereabouts.
- If possible, bring a friend along with you.
- Use reliable peer-to-peer platforms with features like blind escrow.
- Utilize the platform’s reputation and feedback systems to select trustworthy traders and thoroughly clarify all trading specifics using encrypted chat before proceeding with any transactions.
- Ensure the other party shows you the agreed sum of money first before you send any coins.
- Trust your instincts; if something does not feel right, walk away. It is better to miss out on a trade than to risk your safety.
Pump-and-Dump schemes
Crypto “pump-and-dump” schemes are a type of manipulation where the price of a cryptocurrency is artificially inflated (pumped) through coordinated buying or spreading of misleading positive news. Once the price has significantly increased, the manipulators sell off their holdings (dump), leading to a rapid price drop. This can result in substantial profits for the scammers but causes significant losses for those who bought in during the pump. These schemes are illegal in many jurisdictions due to their fraudulent nature. However, cryptocurrencies’ decentralized and global nature can make them difficult to prevent.
Protection:
- Do not rush into investments based on hype or pressure. “Fear of Missing Out” can lead you to rash decisions.
- Spread your investments across different assets. This can reduce the impact of a bad investment.
- Be skeptical of “Get Rich Quick” promises. If it sounds too good to be true, it probably is.
- Set Stop-Loss Orders. This will limit potential losses if the price of a cryptocurrency suddenly crashes.
Fake airdrops
Fake airdrops are a common type of cryptocurrency scam where fraudsters promise free coins in an attempt to lure unsuspecting victims. These scams require participants to provide sensitive information like private keys or personal data or make a small payment to “unlock” their supposed reward. However, after fulfilling the conditions, victims receive nothing in return. By creating an illusion of a free giveaway, scammers prey on the desire for easy profits.
Protection:
- Always confirm the airdrop is from a legitimate and reputable company. Check their official website and social media channels for announcements.
- Legitimate airdrops will never ask for your private keys. Your private key is your most sensitive piece of information. Never share it with anyone.
- Be cautious if an airdrop asks for excessive personal information. Although you might need to provide some data, consider any unreasonable requests as potential red flags.
- It is likely a scam if an airdrop requires you to send cryptocurrency to receive tokens. Legitimate airdrops do not require a purchase.
Cryptojacking
Cryptojacking is a form of cybercrime where hackers covertly use other people’s computing resources to mine cryptocurrencies. This is often done by infecting a website or an individual’s computer with malicious code. Once the unsuspecting victim visits the compromised website or installs the infected software, their computer’s processing power is harnessed to mine crypto without their knowledge. This can lead to degraded system performance, increased power consumption, and hardware wear and tear. It is a stealthy and unethical way for hackers to profit at the expense of others’ resources and can pose significant cybersecurity risks.
Protection:
- Use reliable and powerful antivirus software that includes features to detect and block cryptojacking scripts.
- Install browser extensions that can help prevent cryptojacking scripts from running in your browser.
- Regularly monitor your system’s performance. Unusually high CPU usage might indicate a cryptojacking attack.
- Regularly update your operating system and all software, including browsers, as updates often include security patches.
Conclusion
Despite the initial hype surrounding cryptocurrencies subsiding, the industry continues to grow with the emergence of new projects. Cryptocurrencies are here to stay and will remain a part of our lives. However, as a relatively new form of currency, the crypto sphere will always attract new scammers. By being aware of popular scams and following the recommended protection measures, you can reduce the potential risks involved in trading cryptocurrencies.
Alex Vakulov
Alex Vakulov is a cybersecurity researcher with over 20 years of experience in malware analysis. Alex has strong malware removal skills. He is writing for numerous tech-related publications sharing his security experience.

In the present day, there are a myriad of challenges that developing enterprises have to contend with in the pursuit of success, not least of which is the ever-changing needs of the modern consumer. Recent years have brought about a tangible shift in customer preferences, as consumers are placing more importance on experiences with brands than ever before.
In such a climate, companies that boast the best product or service are not guaranteed to win over their competition as they once might have been. Rather, to accommodate modern consumers, businesses must create a cohesive and wholly-gratifying modern customer experience for their consumers. That means achieving excellence company-wide and empowering employees to maximize your organization’s value.
This is where Total Quality Management (TQM) can be a genuine game-changer for your business.
What is a TQM?
Total Quality Management is a management approach that embodies a holistic view of business success. With TQM, a business strives to achieve an exceptional level of performance in every facet of its operations, on both a macro and micro scale and aims to reach its goals organically by optimizing processes.
At the heart of the TQM philosophy is a strong concept of quality. Those who embrace this approach view quality as something intrinsic rather than superficial. As such, TQM adopters do not seek to create or even achieve quality but rather to embody it and make it a core part of their companies’ identities.
Due to its scope, TQM encompasses a wide variety of principles that serve to foster excellence at a company, from manufacturing and product testing to marketing, sales, and customer service. By putting measures in place to encourage continuous improvement in every area, companies can improve efficiency and achieve greater ROI on their efforts.
What can TQM do for a business?
TQM can bring a variety of significant benefits to an ambitious, developing enterprise.
One of the primary benefits is operational efficiency. By creating an internal culture of continuous improvement, a company can iterate on its processes to optimize them over time. This eliminates resource wastage and revenue leakage, which improves the overall performance of the business.
Adopting TQM also encourages companies to embrace a data-driven approach to business. This promotes an analytical mentality and more intelligent, informed decision-making at the top level. By garnering actionable insights from data analysis and incorporating them into future planning, companies can devise more comprehensive business strategies that drive growth and yield greater ROI in the long term.
Most importantly, TQM helps to produce a high level of customer satisfaction. Through the creation of an improvement culture and the continuous optimization of processes, it’s possible to exceed customer expectations on a routine basis. This result is immense consumer engagement, a positive brand perception, and increased revenue through repeat business and referrals.
For those who embrace Total Quality Management, the customer is at the top of the totem pole, but is the employees who allow it to stand tall. For the principles of TQM to take root and yield dividends, there must be a high degree of employee involvement at every organizational level. For this reason, employee empowerment is considered one of the core tenets of TQM.
How can TQM affect employees’ experience and productivity?
When implemented effectively, TQM can have a substantial effect on both the experience and productivity of employees. There are three primary reasons for this:
Firstly, TQM helps to create more effective training and development programs for employees. By consciously seeking out the latest training methods and most advanced onboarding technologies, companies can help employees to acquire new skills and achieve optimal proficiency in their roles. This makes them more efficient and increases employee satisfaction due to an elevated sense of competency.
Secondly, TQM creates a culture of innovation. In the pursuit of organization-wide excellence, a company can create an environment in which employees have the bandwidth to engage in critical thinking and problem-solving. This helps to create a more engaged and dynamic workforce that is continually evolving itself.
Lastly, and perhaps most importantly, TQM instills a sense of responsibility in employees. By creating a workplace that emphasizes excellence in every aspect, businesses place their evolution in the hands of their employees. This trust helps them to understand that their contributions have value, which boosts morale and performance, and encourage active participation in the improvement culture. The result is a more gratifying employee experience and higher levels of productivity.
Final thoughts
Total Quality Management has the potential to revolutionize a business’s output as well as how it evolves over time. By continuously striving to enrich the employee experience, companies can empower their staff and imbue them with a sense of responsibility that enables them to drive optimization organization-wide and bring ever-greater value to customers.
To sustain growth and success in the long term, employee empowerment is a must, and TQM is currently unrivaled in this regard.
Alon Ghelber
CMO
Alon is a Tel Aviv-based Cheif Marketing Officer who supports b2b tech startups in capturing customers’ (and VCs’) attention through marketing based on data-driven storytelling.
Politics
Making Data Talk: How Marketers can Humanize their Campaigns through Zero- and First-Party Data
Published
15 hours agoon
06/04/2023By
Drew Simpson
Without a comprehensive U.S. consumer privacy law, U.S. state and federal lawmakers have been looking toward Europe’s General Data Protection Regulation (GDPR) to serve as inspiration as states begin to introduce data privacy laws in 2022. But this year, roads are being paved. Now on the heels of the E.U. announcing their Digital Markets Act to combat Big Tech’s hold on the world, the U.S. is working to pass the Choice Online Act and the Open App Markets Act, on top of the already existing state-led legislation like the California Consumer Privacy Act. For example, Massachusetts announced its intent to pass Massachusetts Information Privacy and Security Act (MIPSA) in late 2021, a digital-privacy bill that would protect the residents’ safety and privacy, giving them more autonomy over personal information in the digital world. If the bill passes, Massachusetts would be the fourth state joining Colorado, Virginia, and California to enact comprehensive data-privacy legislation.
And with Google announcing a slew of privacy updates following increased privacy concerns with another new cookie replacement and new features on Android devices to limit user tracking, marketers are anxious to see how the data-privacy battle unfolds.
While it may seem like these laws and regulations will limit the personalization capabilities of marketers, zero- and first-party data remain key to humanizing digital interactions and experiences.
Personalizing campaigns through existing data
The first step to creating digital experiences that satisfy the human experience is for companies to get to know their customers. Think about your interpersonal relationships: you take the time to understand your friends and family’s needs and wants, and humanizing digital experiences requires the same effort. Zero-party and first-party data, which customers share voluntarily, or marketers collect through behavioral patterns, can create personalized marketing experiences without sacrificing customer privacy.
By leveraging this customer data, marketers can develop campaigns that inform customers of relevant information such as the closest physical store’s hours, cart reminders, or product suggestions that anticipate customer needs. These tactics improve customer experience by putting the customer first. There’s an important and understood value exchange between consumers and marketers. Consumers willingly give brands information about them and their interests, and marketers leverage it to build a seamless shopping and browsing experience.
Humanizing the digital world through the omnichannel
Digital can also help bridge human connection. For example, if your friend is making a recommendation on a TV show, workout, or pair of jeans, that “social proof” is valuable information that we use as cues in our everyday lives. Digital experiences can achieve the same thing. At a pivotal moment in the consumer journey, companies should show consumers the social proof in the form of ratings and reviews or how many other shoppers are engaging with the product they’re viewing. This connects other people’s behaviors to their own, making the experience feel more personal than transactional.
Zero- and first-party data have been and always will be fundamental components of marketers’ toolkit to create personalized marketing campaigns. As the consumer path to purchase becomes increasingly non-linear, however, brands now must incorporate and prioritize omnichannel strategies to level up the overall experience.
For example, estimates show that consumers now check their phone between 52 and 80 times a day. Consumers use their phones for new product discovery and identifying brick-and-mortar locations for in-store purchasing, creating a heightened need for more seamless omnichannel communication strategies. Consumers don’t shop Brand X in Mobile, Brand X in email, Brand X in Social – they shop Brand X.
Once marketers collect first-party data, they can then leverage the consumer data when focusing on personalizing the omnichannel experience. With 71% using multiple channels to start and complete a single transaction, we’re continuing to experience rapid growth in mobile commerce.
A first-party use case that became very popular during COVID-19 and remains a core tenet of retailers’ strategy is BOPIS and curbside pick-up, i.e., leveraging zip codes to drive consumers to in-store availability (and not just at-home delivery). Similarly, as COVID-19 closed borders and brought long distance travel to a standstill, travel brands were able to leverage first-party data to surface hotel destinations within driving distance (using zip codes).
Lastly, 68% of marketers gained new customers during COVID and loyalty programs became a key trend for many marketers where they can leverage first-party data to communicate the value of their brand and elevate the role of loyalty in their communications with consumers. We expect the importance of loyalty programs to continue growing as retailers begin leveraging their existing troves of data to personalize their marketing.
To provide digital experiences that satisfy and personalize human experiences, the experiences need to be connected regardless of channel. Failure to do so would be akin to texting with your friend about upcoming plans, and then you call them “not knowing” what you’re talking about. The experience can’t be siloed.
Embracing the legal landscape with data
This is uncharted territory for marketers. However, it needs to be recognized that a push towards greater privacy is a good thing for the consumer and the marketer. Brand marketers will have to earn each customer relationship and deliver value. For years, our most successful customers have been personalizing content from zero- and first-party data from data stores like internal APIs, CDPs, and CRMs, solving the content bottleneck to realize the 1:1 personalization that customers have come to expect from the brands they trust.
But the legal landscape on data privacy is just beginning to develop, making many industry experts nervous since data is the fuel marketers live on. However, this is why knowing how to leverage existing customer data to produce valuable business results is so vital. By establishing the right data strategy by leveraging zero- and first-party data, the overall digital experience will improve.
When Apple rolled out its new privacy measures last fall, marketers were signaling the doomsday bells. In Movable Ink’s analysis of iOS 15’s content caching, we found that 45% of consumers use the Apple Mail client. According to Wired, the new caching protocol routes tracking pixels “through a relay that strips out (recipient) data gathering.” Contextual personalization was thrown for a loop after this update.
For marketers trying to navigate the new data-private world, the challenge and opportunity is to devise new modes of data collection through existing zero- and first-party data. Data is something that needs constant attention. How marketers collect and integrate data with other systems and how they measure it should be under constant review and optimization, especially with the fluctuating legal landscape.
The future of marketing has always been data, but now that third-party sources are dwindling and more consumers are fighting for control of their data, it’s time to work smarter. The next two years will be a turning point in how marketers collect data and build personalization campaigns.
Instead of focusing on what brands cannot do with all the new laws coming to fruition, this is an opportunity to evolve what marketers’ can do. Balancing personalization with consumers’ increased demands for more privacy, can–and if dont right, will–ultimately lead to more personalized, scalable campaigns that drive revenue and build better relationships with customers.
Julio Lopez
Julio is Senior Director of Strategy, Retail Practice Lead at Movable Ink. He has worked across multiple Mar-Tech SaaS companies whose integrated solutions focused on driving digital innovation for retailers, including Cheetah Digital, RevTrax, and Eversight. During his tenure at these organizations, he worked closely with brands like Men’s Wearhouse, Cost Plus World Market, Hallmark, Sherwin Williams, and Carrefour. While at Experian CheetahMail (now Cheetah Digital) he worked on strategic email program development and deployment. At RevTrax he worked closely with the executive team to manage the evolution of the product, define go-to-market strategies, and led the Customer Experience organization. Julio also helped establish and lead the penetration into the European market for Eversight, whose software helps drive pricing and promotion strategies for retailers.
Julio’s expertise and passion for retail has kept him focused on the vertical. He joined Movable Ink as an Associate Director focusing on Retail, continuing to add to his 10+ years of experience in Retail Services. He was also one of the founding members of the Strategy Team.