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Forrester: CMOs will need to reinvent roles as pandemic's impact endures - Marketing Dive

Forrester: CMOs will need to reinvent roles as pandemic's impact endures - Marketing Dive | The MarTech Alert | Scoop.it
  • Chief marketing officers next year will need to reinvent their roles at U.S. companies to make the consumer experience central to their operations, expanding beyond the management of advertising and promotional activities, Forrester Research said in a report emailed to Marketing Dive.
  • Economic challenges going into 2021 will expose the deficiencies of some marketing technology, systems and processes that were able to survive under stronger growth. CMOs can expect a year of reduced media budgets, fewer internal resources and less support from advertising partners like agencies and ad tech companies, according to Forrester.
  • To survive the tumultuous times ahead, CMOs will need to foster diversity and inclusion among their teams to reflect changes in the marketplace, upend their business models to prioritize consumer experiences and focus on retaining their most valuable customers. In addition, CMOs will need to be more engaged with their employees and show leadership by getting things done rather than delegating key priorities. This reinvention will help to create new opportunities for businesses coping with the disruptions of the pandemic.
CYDigital/marteq.ios insight:

The key: building the relationship with existing consumers. It's where the focus needs to be over the next 12-18 months.

 

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Walgreens Marketing Moves Into Mass Personalization - Forbes

Walgreens Marketing Moves Into Mass Personalization - Forbes | The MarTech Alert | Scoop.it
What noteworthy changes have we seen in the usefulness of predictive analytics over the past few years?

Walgreens Boots Alliance, VP Cecilia Wu: With more than 100 million members of our loyalty programs, we now have more data than ever, as well as a mature and scalable technology stack, to improve customer use cases with predictive analytics.

On the retail side, we are making life easier by basing product recommendations on purchase history and comprehensive customer profiles. Within pharmacy, predictive analytics are helping patients manage their health by improving medication adherence.

As we bring all of our data together to develop a more singular, unified view of the customer, we will continue to replace rules-based models with machine-learning models to create more seamless, personalized customer interactions.
CYDigital/marteq.ios insight:

Now imagine combining that data with the consumer's online behavior including shopping at competing sites. It's doable, and available right now.

 

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Customer Data: Wielding the Power of AI Wisely - CMSWire

Customer Data: Wielding the Power of AI Wisely - CMSWire | The MarTech Alert | Scoop.it
As brands everywhere grapple with the "new normal,” which includes a new receptivity on the part of many consumers to trying new brands and ways of shopping, knowing what they want is more important than ever. Not surprisingly, there’s a significant push to embrace personalization across a brand’s digital touchpoints. According to market research Acquia recently completed surveying 8,000+ marketers across eight countries, 96% of respondents reported they have seen improvements with customer engagement after personalization initiatives. Half of marketers surveyed also reported seeing increased engagement with their brand and 41% experienced more repeat purchases.

AI is swiftly becoming one of the most important ways brands are maximizing the value of vast amounts of customer data and creating the most personalized digital experiences at scale. In that same study from Acquia, 44% reported adopting AI and ML tools in the past 12 months. Strong uptake isn’t surprising: a 2019 Deloitte survey of 1,100 U.S. advertising and marketing firms considered early AI adopters found that 82% reported positive ROI for their AI initiatives.
CYDigital/marteq.ios insight:

AI usage does not resolve the issue of data privacy, and is not as accurate as the data provided directly from the consumer to you.

 

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Can privacy and personalization coexist? - KnowTechie

Can privacy and personalization coexist? - KnowTechie | The MarTech Alert | Scoop.it
Federated learning, for example, has given rise to a privacy-centric approach to personalization. A search engine, for example, would still collect your data, but it would never leave the device you used to perform the search. Rather than sending it to a central server for analysis and to be used in future AI training, the data stays with you, and personalization algorithms train themselves without ever sharing your most personal information.  

 In the privacy vs personalization debate, it’s really the best solution we have moving forward, one that protects consumers while still delivering the experiences they’ve come to expect. And it will only get better with time, and increased use. 
CYDigital/marteq.ios insight:

Nope: completely disagree. They've got it wrong: the best solution is where the consumer owns their data, and permits your use of the data in exchange for a digital reward.

 

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Gartner's strategic tech trends for 2021 turn pragmatic - CIO Dive

Gartner's strategic tech trends for 2021 turn pragmatic - CIO Dive | The MarTech Alert | Scoop.it
Privacy-enhancing computation
This technology maintains the security and privacy of data in use, beyond existing and standardized data-at-rest security controls. Technology candidates for more privacy include instances where sensitive data — such as personal data, data monetization or fraud analytics — are processed or transferred, according to Gartner.  

By 2025, the research firm expects half of large organizations to process data in "untrusted environments and multiparty data analytics use cases" using privacy-enhancing computation. 

Hyperautomation

Organizations can use hyperautomation to "rapidly identify, vet and automate" business and IT processes, a need heightened by the pandemic. By redesigning operations and using hyperautomation technologies, organizations can lower operating costs by 30% by 2024, according to Gartner.
CYDigital/marteq.ios insight:

I highlighted the two topics that most stood out to me.

 

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How 'Big Blockchain' Is Inevitable - CoinDesk

How 'Big Blockchain' Is Inevitable - CoinDesk | The MarTech Alert | Scoop.it
The essential question is, therefore, whether, if and when blockchain finds its own killer apps that those services will be meaningfully more decentralized than the current options. And the answer is – unless the blockchain industry proactively works to prevent it – probably not. There’s a good chance that in a decade or two we’ll be complaining about the evil nature of “Big Blockchain” in the same way we complain about Big Tech today.

At a minimum, blockchain founders and investors need to recognize that many of the fundamental economic forces that are driving consolidation across the economy will also apply to blockchain-based applications. Distributed ledgers are not immune to “winner takes all” market dynamics, the increased globalization of markets, and more lax regulation and weaker antitrust enforcement simply because they are distributed.  Thinking deeply and realistically about the economic similarities between blockchain and other industries now will help the industry to anticipate potential problem areas.

Second, blockchain presents a new environment that requires custom-designed decentralized governance. As of now, governance systems are far from ready to oversee complex, billion-dollar products. Hundreds of years of insights in economics, political science, law and business must be translated and adapted into collective decision-making processes suitable for blockchain and resistant to consolidation.
CYDigital/marteq.ios insight:

Blockchain is a technology whose application to problems is limited...for now. It will find its footing, eventually.

 

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Introducing the new Google Analytics - MarTechCube

Introducing the new Google Analytics - MarTechCube | The MarTech Alert | Scoop.it
By applying Google’s advanced machine learning models, the new Analytics can automatically alert you to significant trends in your data – like products seeing rising demand because of new customer needs. It even helps you anticipate future actions your customers may take. For example, it calculates churn probability so you can more efficiently invest in retaining customers at a time when marketing budgets are under pressure. We’re continuing to add new predictive metrics, like the potential revenue you could earn from a particular group of customers. This allows you to create audiences to reach higher value customers and run analyses to better understand why some customers are likely to spend more than others, so you can take action to improve your results.

The new Analytics gives you customer-centric measurement, instead of measurement fragmented by device or by platform. It uses multiple identity spaces, including marketer-provided User IDs and unique Google signals from users opted into ads personalization, to give you a more complete view of how your customers interact with your business. For example, you can see if customers first discover your business from an ad on the web, then later install your app and make purchases there.

You’ll also get a better understanding of your customers across their entire lifecycle, from acquisition to conversion and retention. This is critical when people’s needs are rapidly changing and you have to make real-time decisions in order to win – and keep – new customers. Based on your feedback, we simplified and re-organized reporting so you can intuitively find marketing insights based on the part of the customer journey you’re interested in. For example, you can see what channels are driving new customers in the user acquisition report, then use the engagement and retention reports to understand the actions these customers take, and whether they stick around, after converting.
CYDigital/marteq.ios insight:

A piece written by Google about Google Analytics.

 

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We’ve Got One Too: SAP Launches Its Customer Data Platform - AdExchanger

We’ve Got One Too: SAP Launches Its Customer Data Platform - AdExchanger | The MarTech Alert | Scoop.it
SAP said it will release its enterprise customer data platform globally next month. SAP first teased its plan to roll out a CDP in May of last year.

But SAP stressed its foray into the CDP category is about more than marketing. That expansiveness is one of its differentiators, said Bob Stutz, who joined SAP as president of customer experience late last year after a stint as CEO of Salesforce’s marketing cloud.

Most CDPs are “geared toward marketing,” said Stutz (who somewhat famously referred to CDPs as a “passing fad” while at Salesforce), whereas SAP’s offering can also handle other scenarios, he noted, including commerce, service, support and supply-chain management, which all fall under the umbrella of customer experience.
CYDigital/marteq.ios insight:

Honestly, I was under the impression that they already had one. What took them so long?

 

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Reimagining the new social contract for the digital age - ZDNet

Reimagining the new social contract for the digital age - ZDNet | The MarTech Alert | Scoop.it

"Driven by fear and also a deep hope for a brighter future, people everywhere began to undertake a new process, to reimagine our social contract -- the basic expectations between business, government and civil society for a new digital age," said Don Tapscott, co-founder and executive chairman of the Blockchain Research Institute. The six principles were: 

 

  1. Inclusive models of global problem-solving. 
  2. Rethinking democracy for citizen engagement. 
  3. A new commitment to justice. 
  4. New models of work and education. 
  5. New models of identity. 
  6. A commitment to sustainability

 

The pandemic has a lot to do with data or lack thereof. An example is health data. Data is captured in silos. We do not own the data. Data cannot be aggregated across all of our individual identities. "Let's move away from the industrial-age system of stamps, seals, and signatures we depend on to this day. We need to protect the security of personhood and end the systems of economic exclusion and digital feudalism. Individuals should own and profit from the data they create from the moment of their birth," said Tapscott.   

Data ownership and access is a key success factor in the new digital age. We must be able to use our data to plan our lives. Tapscott talked about how we can use blockchain to create a self-sovereign and portable identity. 

CYDigital/marteq.ios insight:

We struggle with the notion of all consumer data on the blockchain, as the very nature of blockchain makes this data immutable. Does the consumer want all their data unerasable?

 

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Is YouTube a shopping powerhouse waiting to happen? – RetailWire

Is YouTube a shopping powerhouse waiting to happen? – RetailWire | The MarTech Alert | Scoop.it
YouTube is asking creators to tag and track products featured in their videos as part of an “experiment” in what is potentially a major step toward fulfilling the platform’s e-commerce ambitions.

Creators have largely monetized their YouTube content from advertisements served on their videos and from YouTube Premium subscribers watching their content. Some videos include links in their descriptions to Amazon or other retailers designed to drive affiliate sales.

The video tags that YouTube is now testing are linked to analytics and sales through Google, YouTube’s parent. A Shopify integration is also being explored, according to Bloomberg. The report stated, “The goal is to convert YouTube’s bounty of videos into a vast catalog of items that viewers can peruse, click on and buy directly.”
CYDigital/marteq.ios insight:

Ahhhh, the great promise of video shopping, part deux. Not going to happen.

 

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Blockchain marketing, more power in the hands of consumers - ET BrandEquity

Blockchain marketing envisions an entirely new environment, where consumers are able to own and sell their data directly to marketers and advertisers. This will put more power in the hands of the customer and will usher in the era of democracy in marketing.
CYDigital/marteq.ios insight:

This is the killer solution for blockchain: permitting consumers to own their data and manage it as they see fit. When this occurs, then the trust between the brand and consumer is magnified.

 

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Twilio Buying Segment for Improved Customer Engagement - Channel Partners

Twilio Buying Segment for Improved Customer Engagement - Channel Partners | The MarTech Alert | Scoop.it
Twilio is buying Segment, a startup that helps businesses track and manage customer data, for $3.2 billion. By combining the two companies, Twilio says it can deliver a single, unified view of customers’ insights. That helps companies better understand their customers to engage more effectively.

“By building the customer engagement platform of the future, Twilio will help our customers gain insights into interactions with their own end customers,” Glenn Weinstein, Twilio‘s chief customer officer, said. “We expect Twilio partners to participate in building this future, by bringing their expertise and technology to the table.”

Segment will form the data that fuels Twilio’s Engagement Cloud.
CYDigital/marteq.ios insight:

FYI.

 

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Companies invest more to deal with data privacy rules - Beta News

Companies invest more to deal with data privacy rules - Beta News | The MarTech Alert | Scoop.it
A new study from data discovery and intelligence company BigID, in partnership with the International Association of Privacy Professionals (IAPP), shows that more than half of respondents plan to invest more in data discovery.

Other areas of planned investment include consent and preferences management capabilities and enhanced consumer privacy portals. Companies in the US plan to invest in data rights management resources more than those located in the rest of the world, which may reflect the recent adoption of the California Consumer Privacy Act (CCPA).

Drivers for this investment include integration with governance, risk and compliance efforts, plus integration with legal initiatives and data security.
CYDigital/marteq.ios insight:

What a colossal waste of money! If you love your consumers and their data, set them free: give them ownership. 

 

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How AI in Marketing leads to Enhanced Branding - MarTech Cube

How AI in Marketing leads to Enhanced Branding - MarTech Cube | The MarTech Alert | Scoop.it
One of the most talked-about products of AI in marketing is a reliable insight into the buyer’s personas. These financial representations of buyers or customers help businesses make well-informed marketing decisions.

A case study discovered that a website constructed on its buyer personas resulted in a 900% increase in visit duration and a 171% increase in marketing-generated revenue. AI simulation and modeling techniques draw a clear picture of the psychology and purchasing behavior of buyers.

This year, in 2020, AI and ML are expected to bring context and relevance to every marketing brief. The use of AI and ML has enabled businesses to enhance brand positioning, deliver strategic and targeted communication, apart from improving the consumer experience. More importantly, AI has allowed brands to become more relevant to consumers by getting a peek into their requirements and delivering upon it Demandbase Research with Salesforce Pardot Shows that 85% of Marketers Using AI Believe It Will Drive Double-Digit Revenue Growth Within Two Years
CYDigital/marteq.ios insight:

When you apply AI to the data volunteered by consumers to you (in exchange for a digital reward), there can be no better approach for the marketer.

 

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Customer Journey Lessons You Don't Want to Learn the Hard Way - Ascend

Customer Journey Lessons You Don't Want to Learn the Hard Way - Ascend | The MarTech Alert | Scoop.it
CYDigital/marteq.ios insight:

It's a pain, but well worth it...if you have the resources.

 

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BitLicense Has Done More Good Than Bad to the Bitcoin Sector - NewsBTC

BitLicense Has Done More Good Than Bad to the Bitcoin Sector - NewsBTC | The MarTech Alert | Scoop.it
When BitLicense was introduced, it was hailed as a defining moment, where the government-less and regulation-less cryptocurrency platforms meet regulatory machinery set up by governments and centralized organizations. A bit over one year down the line, BitLicense is being constantly referred back to, in order to avoid doing the same mistakes.

BitLicense, introduced by Benjamin Lawsky, then Superintendent of the New York State Department of Financial Services led to the implementation of a stringent regulatory framework for the digital currency industry. The license was seen on par with the regulatory practices mainstream financial services are subjected to. However, the requirements stated by BitLicense, in order to overcome the decentralized and pseudonymous nature of Bitcoin far exceeded the AML and KYC practices otherwise followed by traditional banks and financial institutions. These factors proved to be detrimental to the majority of Bitcoin businesses operating in the State of New York.

Bitcoin was and still is relatively new, the sector being in its nascent stage makes most of the companies working on Bitcoin and Blockchain technologies startups. The stringent requirements stated by BitLicense was impossible to adhere to unless the company had venture capital backing. In addition, the BitLicense also threatened the very principle of Bitcoin, which was developed as a decentralized currency for peer to peer transactions where governments or any third party has no business meddling with.
CYDigital/marteq.ios insight:

And worthy of note: adhering to BitLicense standards still does not give anyone a pass with the SEC.

 

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KuCoin Hack: We Never Learn Our Lessons - CDO

KuCoin Hack: We Never Learn Our Lessons - CDO | The MarTech Alert | Scoop.it
On September 26, cryptocurrency exchange KuCoin issued a statement that it experienced a ‘security incident’. At that point, some USD 150 million in BTC (bitcoin), ERC-20 (ethereum-based tokens), and other cryptocurrencies were estimated to be stolen. 

Over the next couple of days, that amount had grown to USD 280 million, effectively making the KuCoin hack the third-largest crypto hack. Only Coincheck, which suffered a USD 534.8 million hack in 2018, and Mt. Gox, which lost USD 460 million in 2014 to another hack, were ahead in terms of loss.

According to Johnny Lyu, KuCoin’s chief executive officer, the funds were emptied out of KuCoin’s hot wallets. The assets in their cold wallets “remained safe and unharmed.” Hot wallets are used as temporary storage systems for assets that are being traded on exchange platforms and are often a point of weakness in the security architecture of exchanges. 
CYDigital/marteq.ios insight:

Why would they store so much in hot wallets? FWIW: cold wallets is the path to take when you're using crypto as your digital reward system.

 

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It’s Going to Get Messy: Looking Inside Your Customer’s Mind - Digital Agency Network

It’s Going to Get Messy: Looking Inside Your Customer’s Mind - Digital Agency Network | The MarTech Alert | Scoop.it

The decision-making process is anything but linear. In fact, during this process, they are going round in circles. Researchers concluded that when shopping online and sorting through all the information thrown at them, they are either exploring or evaluating. When they are in the exploration stage, they are discovering a brand, product category or item, looking for any relevant information. Then in the evaluation stage, they assess all this information and look at the options. They go back and forth between these two mental modes until they’ve made their decision on whether and what to buy.

During this process, consumers use mental shortcuts, or cognitive biases, to help them decide whether or not to buy something. There are hundreds of these cognitive biases, but in their experiment, Google and the behavioural scientists focused on six:

1. Category heuristics
2. The power of now
3. Social proof
4. Authority bias
5. Scarcity bias
6. Power of free

CYDigital/marteq.ios insight:

Excellent article that is based on Google and Google-funded findings. You're going to learn something from this post.

 

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A Framework for Leaders Facing Difficult Decisions - HBR

A Framework for Leaders Facing Difficult Decisions - HBR | The MarTech Alert | Scoop.it
1. Clarify your current worldview.
Without judgment, only observation, ask yourself:

How do I want to be perceived as a leader? What do I want to stand for?
What do I think is the purpose of business in general? Is it to maximize shareholder value and, by extension, to improve communities by increasing collective wealth? Is it to improve communities and the world regardless of creating wealth? Some combination of the two? Something entirely different?
What do I think is the purpose of our business? Is it the same as my view of business at large or is there some nuance based on our size, location, or services?
What is my role within our business? What are my obligations, and to whom do I hold them?
What am I willing to sacrifice in service of a desired goal? What am I never willing to sacrifice?
2. Choose a recent major decision and evaluate it against the observations you just made.

3. Next, look at a decision you’ll have to make soon.

4. Develop a plan to communicate the decision.

5. Engage in rigorous self-reflection.
CYDigital/marteq.ios insight:

Worthwhile to click through for the whole article.

 

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Personalization is key for marketers to drive consumer connections: study | Ad Age

Personalization is key for marketers to drive consumer connections: study | Ad Age | The MarTech Alert | Scoop.it

According to new research from Magna and IPG Media Lab, personalized ads based on major life events perform best.

 

The study included responses from over 6,600 participants from the auto, retail and finance industries. Testing was conducted using each brand’s demographic target, as well as high-value audiences, which use people-based IDs for brand-identified targeting personas created by Kinesso.

 

“Relevance is a critical part of brand marketing strategy because people today are inundated with content on a daily basis and it can be overwhelming,” said Kara Manatt, senior VP, group director, Intelligence Solutions at Magna Global, in a statement.

 

“Personalized messaging can not only help create more relevant ads, but also help amplify brand stories, forging stronger, more solid personal connections.”

 

While utilizing precision targeting of high-value audiences is effective, these consumers are typically critical of mass-market messages, and are much more open to personalized ads. Of course, personalization doesn’t guarantee branding. The performance of a personalized ad is amplified when branding is incorporated into the messaging, making them 8% more memorable than standard ads. The same best creative practices should be applied when planning for personalization.

CYDigital/marteq.ios insight:

That last finding is incredible: the boost when branding is incorporated into the personalization.

 

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Retail adopts smarter technology as industry relearns operations - CIO Dive

Retail adopts smarter technology as industry relearns operations - CIO Dive | The MarTech Alert | Scoop.it
The shift to online shopping, as well as the use of associated AI technologies that support personalization, will persist in the post-pandemic era, according to Arun Sundararajan, Harold Price Professor of Entrepreneurship and Technology at New York University's Stern School of Business. 

AI was already spreading its reach in the technology stack that powers retail, by way of personalization engines and predictive analytics that suggest to shoppers what they may need next. The pandemic will solidify these tools as the default as the retail industry relearns operations.

"The entire business model has changed in a way that requires humans less and is reliant more on simple AI technologies like recommendation systems," said Sundararajan. "I think what the pandemic has done is dramatically accelerate the shift online."
CYDigital/marteq.ios insight:

Note that the fuel for those personalization engines need to improve dramatically so that predictive analytics can operate at a higher level. Alternatively, you can just collect the data you need from your consumers.

 

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Edge Computing and Its Impact Change Marketing and Personalization in 2021 and Beyond - CMSwire

Edge Computing and Its Impact Change Marketing and Personalization in 2021 and Beyond - CMSwire | The MarTech Alert | Scoop.it
Customer expectations are higher than ever due to the hyper-personalization they routinely experience with the familiar tech giants. Using traditional approaches, it’s difficult to provide real-time interactions however by combining edge computing with artificial intelligence, brands will be able to provide real-time personalization and access and analyze in-depth customer data and behavior analytics, providing actionable insights for up-to-the-minute personalization.

According to Janakiram MSV, principal analyst at Janakiram & Associates, edge computing and AI are a marriage made in heaven because machine learning and AI are all about real-time decision making. “By moving AI to the edge, the results are delivered much faster. AI models have two phases — training and inference. While training continues to happen in the public cloud, inference — the mechanism of making predictions from unseen data — is moving to the edge.”

He said edge computing is a way to ensure exceptional customer experience extends to the brick-and-mortar world. It brings the level of personalization we see in online shopping to physical shopping. “In a multi-branded store or a mall, edge computing can calculate how much time you spend at each brand’s outlet and provide a recommendation through a contextual online ad. The combination of AR/VR and edge computing is set to revolutionize the consumer experience,” he said.
CYDigital/marteq.ios insight:

However, you cannot do better than extended zero party data as your data source for personalization.

 

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How AI has evolved in the marketing industry – and where it’s headed next - ClickZ

How AI has evolved in the marketing industry – and where it’s headed next - ClickZ | The MarTech Alert | Scoop.it
  • The arrival of personalization and artificial intelligence-based technologies has vastly changed how marketers can achieve the ultimate customer experience, equipping them to better connect with their target audiences.
  • Machine learning algorithms found a new home in marketing stacks in the late 2000s, but marketers were not ready to accept a black box.
  • Soon enough AI gained further trust from marketers and became a must-have, with more and more brands viewing it not as the sole decision-maker, but as a vital tool for augmenting the decision-making process.
  • As the deployment of cloud infrastructure made AI more affordable and scalable, some brands began putting such faith in AI that they began treating it as black box, leaving it to make decisions with little human involvement.
  • Today, these advanced algorithms are providing a quantum leap in the quality of experiences they enable, but marketers must understand the value they yield. In the future, a hybrid approach should be expected, with greater investments in algorithms that provide results while also affording marketers control.
CYDigital/marteq.ios insight:

Just remember that AI is as good as the data upon which its created. And the absolute best consumer data available today is extended zero-party data. BTW: to leverage eZPD, you don't need AI.

 

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AI in Marketing: What, Why, and How? - MarTech Outlook

AI in Marketing: What, Why, and How? - MarTech Outlook | The MarTech Alert | Scoop.it
Here is more about the applications AI marketing platforms consist and how they are working in favor of digital marketers today.

1) AI Marketing focuses on media and provides thorough analysis in media selection and media purchasing, including audience analysis, conversion contexts, bid and cost management, and investment analysis.  

2) Chatbots is a major medium for marketers to deliver timely responses and customer service to visitors. 

3) AI-based marketing automation tools enable marketers to create content, customer segmentation, and email templates automatically.
CYDigital/marteq.ios insight:

All nice, but I'm still looking for AI as applied to product innovation.

 

See how extended zero-party data is your greatest marketing resource...and you can tap into it right now!: http://un.marteq.io/WP1/ #martech #marketing

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Tips from the Experts: Recovery and Growth in B2B Marketing and Sales - TechTarget

Tips from the Experts: Recovery and Growth in B2B Marketing and Sales - TechTarget | The MarTech Alert | Scoop.it
  • Destination CRM | Customer Loyalty and COVID-19: Make Loyalty Your Top Priority Before It’s Too Late
  • TOPO | Responding to a Crisis: A New Revenue Framework
  • MarketOne | Virtual Progress: How 2020 is bringing B2B marketing and sales closer together
  • Forrester | Steering into the Skid, Part Two: Marketing Operations Considerations for Redirecting Spend in a Sudden Market Disruption
  • Demand Gen Report | Examining the Post-COVID Buyer’s Journey
CYDigital/marteq.ios insight:

Please click-through for the links to each resource.

 

See how extended zero-party data is your greatest marketing resource...and you can tap into it right now!: http://un.marteq.io/WP1/ #martech #marketing

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