Trending December 2023 # Top 5 Cryptocurrency Trading Bots That Investors Can Use In 2023 # Suggested January 2024 # Top 15 Popular

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These cryptocurrency trading bots make the lives of crypto fanatics a lot easier

Pionex: Pionex is one of the world’s 1st exchanges with 18 Free trading bots. Users can automate their trading 24/7 without always checking the markets. It aggregates the liquidity from Binance and Huobi Global and is one of the biggest Binance brokers

Features: 1. Pionex provides 18 free trading bots for retail investors. 2. The trading fee is the lowest compared to most of the major exchanges. The trading fee is 0.05% for the maker and taker. 3. Grid Trading Bot allows users to buy low and sell high in a specific price range. 4. Leveraged Grid Bot provides up to 5x leverage. 5. Spot-Futures Arbitrage bot helps retail investors to make passive income with low risk. The estimated return for this strategy is 15~50% APR. 6. Martingale bot performs DCA buy, one-time sell to capture fluctuation profit. 7. Rebalancing bot helps you to hodl the coins. 8. Dollar-Cost Averaging (DCA) Bot Sets repeated purchasing at regular intervals to offset the effects of volatility. 9. Smart Trade terminal allows traders to set up stop-loss, take profit, trailing in one trade. 10. U.S. FinCEN’s MSB (Money Services Business) License approved Price: Free Mobile Apps: iOS & Android Exchanges: Binance，Huobi，CoinbasePro，Pionex

Mudrex: Mudrex is a Y-Combinator-backed platform that’s been around for a while now – since 2023 to be precise. What we find particularly interesting is the Coin Set offer. The platform does offer a separate algo offering as well but seems to be doubling down on Coin Sets as far as we can tell. According to Mudrex, Coin Sets are basically baskets of tokens built on a specific theme or an idea. Some Coin Sets that we find particularly interesting:

Crypto Blue Chip

NFT

Metaverse

are offering a guaranteed reward of up to $1000 upon every investment

We actually reached out to Mudrex to offer something special to Analytics Insights users – and for this week,

Cryptohopper: The Cryptohopper bot is a powerful system that offers several facilities to help cryptocurrency traders make the right trading decisions. Bots on this platform are called hoppers who can either use strategies, templates, or signals to guide the users on when to buy and sell cryptocurrencies.

Cryptocurrency trading might seem complicated to even long-term market investors. With the rising popularity of cryptocurrencies and blockchain, several innovations are taking place in the industry to make crypto trading an easy affair. Crypto trading bots are computer software that places and manage trades based on existing regulations. Automated crypto trading efficiently helps investors understand the algorithms of the crypto market and invest accordingly. These bots help capitalize on market opportunities and cut down time spent on monitoring. In this article, we have listed the top 5 crypto trading bots that can make life easier for investors.1. Pionex provides 18 free trading bots for retail investors. 2. The trading fee is the lowest compared to most of the major exchanges. The trading fee is 0.05% for the maker and taker. 3. Grid Trading Bot allows users to buy low and sell high in a specific price range. 4. Leveraged Grid Bot provides up to 5x leverage. 5. Spot-Futures Arbitrage bot helps retail investors to make passive income with low risk. The estimated return for this strategy is 15~50% APR. 6. Martingale bot performs DCA buy, one-time sell to capture fluctuation profit. 7. Rebalancing bot helps you to hodl the coins. 8. Dollar-Cost Averaging (DCA) Bot Sets repeated purchasing at regular intervals to offset the effects of volatility. 9. Smart Trade terminal allows traders to set up stop-loss, take profit, trailing in one trade. 10. U.S. FinCEN’s MSB (Money Services Business) License approved Price: Free Mobile Apps: iOS & Android Exchanges: Binance，Huobi，CoinbasePro，Pionex

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Top 10 Biggest Cryptocurrency Asset Gainers In January 2023

If you are a cryptocurrency enthusiast, learn about these top biggest cryptocurrency asset gainers in 2023

With the volatile nature of

cryptocurrency

, the market sees a lot of ups and downs when it comes to the values of the coins. For some coins, it can be really profitable as the price soars high. When something like this happens, a lot of assets joined with those coins also gain profit. Here are the top biggest cryptocurrency asset gainers in 2023.

Ecomi (OMI) +15,034.09%

Ecomi is a

marketplace

for licensed premium digital collectibles built on the GoChain blockchain that enables users to buy, sell, or trade virtual goods or NFTs through its VeVe app. The protocol has a

utility token

called OMI, which is used as a medium of exchange in purchasing and trading digital collectibles.

Ecomi

has secured partnerships with some of the most iconic brands in gaming and pop culture including Star Trek, Marvel, DC, GhostBusters, Adventure Time, etc.

Gala (GALA) +10891.26%

Gala Games

aims to give players back control over their games and make “

blockchain games

you’ll actually want to play.” It plans to reintroduce creative thinking into games by giving players control of the games and in-game assets with the help of

blockchain

technology. So far, Gala Games has released one playable game – Town Star and a popular NFT collectible series –

VOX

. It plans to release more games in the future, such as a fantasy RPG game, a sci-fi strategy game and a tower defense game. The platform also claims to have 1.3 million monthly active users, and 26,000

NFTs

sold, with the most expensive piece valued at $3 million.

Axie Infinity (AXS) +10598.52%

Axie Infinity

is a Pokemon-inspired NFT gaming ecosystem

built

Ethereum

where players can battle and interact with each other, manage their own in-game characters and assets, and earn rewards for their participation in in-game activities. It’s the most high-profile example of the

Play-to-Earn (P2E)

crypto trend that’s been creating tremendous buzz in 2023, as NFTs and gaming begin to intertwine, and some even credit it for resurrecting the bull market after a few months of downward action.

Axie is modeled as an open-ended, digital pet universe where the in-game assets and the lives of Axies (pets) depend on the steps taken by players, who also have the option to perform community-based tasks that contribute to the ecosystem and gain rewards in return.

Telcoin (TEL) +9597.44%

Telcoin (TEL)

is an Ethereum-

based

platform designed to support cross-border remittances and spur the utilization of telecommunications infrastructure and blockchain to disrupt the international remittance industry. The project partners with telecommunication service providers to help their clients perform money transfer activities, especially in areas without accessible banking options. Established in July 2023, Telcoin is the brainchild of Paul Neuner and Claude Eguienta.

Solana (SOL) +7998.67%

Solana (SOL)

is one of the

latest

Ethereum-alternative blockchain networks known for its fast transaction throughput, capable of processing 50,000 transactions per second. It has seen a massive influx of support as Ethereum’s gas prices continue to surge despite the

rollout of EIP-1559

. SOL climbed from a measly $1.84 on January 1st to a staggering $191 by the beginning of September 2023. Solana employs a novel form of

delegated proof-of-stake (dPOS)

that relies on

Byzantine Fault Tolerance (BFT)

and proof-of-history (PoH), which enables the platform to confirm transactions much faster and support greater scalability.

Fantom (FTM) +7155.14%

Fantom

is a

decentralized

protocol designed to run

dapps

and host digital assets in its high-performance network, blending blockchain and direct acyclic graph (DAG) technologies to solve the blockchain scaling problem without sacrificing security and decentralization. Its Opera mainnet boasts having

full range

smart contract capability, superior speed, and quick finality that has enabled it to rise through the ranks and become one of the fastest-growing Layer 1 smart contract platforms to date.

Polygon (MATIC) +6805.13%

Self-described as Ethereum’s “Internet of Blockchains”,

Polygon

is a

layer-2

scaling protocol that connects Ethereum to multiple compatible blockchain networks to allow for interoperability and optimum scalability. Polygon aims to address Ethereum’s current biggest problems such as gas costs and slow transaction confirmation, and offers instantaneous

cryptocurrency

transfers at negligible costs. In the future, the team intends to add more scaling solutions to allow its deployment on non-Ethereum networks.

Rari Governance Token (RGT) +5491.43% BAO Token (BAO) +5279.38%

BAO Finance

is a second-layer

protocol

for synthetic assets built on top of UniSwap, SushiSwap and Balancer, making it a cross-chain platform. BAO prides itself in providing a fair token distribution, making its utility token, BAO, available only through farming with a three-year lockup period and eliminating VC funding and allocation.

Verasity (VRA) +5200.33%

The Top 7 Best Cryptocurrency Subreddits That You Should Check Out

Known as “The front page of the internet”, Reddit is one of the most popular websites in the world, accumulating over 1.7 billion visits every month. With an estimated 3.4 million subreddits, Reddit is home to a wide range of content, including news, discussions, photos, and videos, making it one of the best social media platforms to join active communities and participate in endless conversations.

It’s no surprise that one of the most popular topics on Reddit is cryptocurrency. There are currently have been over 500 cryptocurrency subreddits created on the platform during the last decade, with each varying in size, focus, and moderation level. Whether you’re after hot trading tips, serious discussions, market analysis, or light-hearted content, there’s a crypto subreddit that’s suited to you! If you’re unsure where to start when it comes to Reddit, keep reading to find out the best crypto subreddits to check out now!

Source: Pexels

What is Reddit?

This high level of regulation has made Reddit a content-oriented social media platform that’s perfect for users who want to have serious conversations about topics they are interested in. Reddit users have reported that Reddit gives them a fantastic sense of community as they can share stories, knowledge, and opinions in subreddits that are packed with others who have similar interests.

“On other social media, you subscribe to people, and they share their interests. On Reddit, you subscribe to interests, and they share their people.” – Reddit user /u/Baconator004

Top 7 Best Cryptocurrency Subreddits That You Should Check Out

If you’re looking for tips, news, and discussions regarding cryptocurrency, the crypto market, and various crypto coins, then you should take a look at some of the following subreddits!

1) r/Cryptocurrency 2) r/CryptoMarkets

Orientated around crypto market analysis, r/CryptoMarkets is a fantastic subreddit for users looking for guidance. Members will typically discuss how coins are performing and predict which may gain traction in the future, making this subreddit ideal for anyone who wants to learn how to analyse the cryptocurrency market.

3) r/Bitcoin

You guessed it, r/Bitcoin is a huge subreddit that’s dedicated to the world’s most well-known cryptocurrency – Bitcoin. With almost 5 million members and thousands of posts created daily, this subreddit gives you all the latest updates, tips, and news regarding Bitcoin. r/Bitcoin also has plenty of resources available to help beginners start buying and trading with this coin.

4) r/BitcoinBeginners

r/BitcoinBeginners is where new traders can go to ask any Bitcoin-related questions. This includes how to buy Bitcoin, what to use it for, and how to protect their wallets. Users in r/BitcoinBeginners also recommend various tools that can help new traders get started in the crypto world.

There have been many posts in this subreddit where users have helped newcomers to choose reliable platforms such as Gemini, Etoro, and Immediate Edge which helps them to connect with brokers and receive all the support needed to start trading Bitcoin for the first time.

5) r/Ethereum

6) r/CryptoTechnology

This subreddit is the place for serious and technical discussion of cryptocurrency. At r/CryptoTechnology, users will participate in in-depth conversations that are free from promotional and low-effort content. This subreddit is heavily moderated to ensure it consists of the highest possible quality content that is purely informative. If you’re looking for serious discussions about cryptocurrency, then r/CryptoTechnology is the best subreddit for you.

7) r/CryptocurrencyMemes

For more light-hearted crypto content, head to r/CryptocurrencyMemes. As the name implies, this subreddit is where you can find all memes related to cryptocurrency. Memes have significantly affected how we communicate with each other online and are important to many communities as they enable individuals to express themselves whilst still maintaining relatability.

Summary

To conclude, you can join and participate in a great selection of cryptocurrency-related subreddits to help expand your understanding of crypto, learn about exciting cryptocurrency news, connect with other traders, and share your own trading success stories. The beauty of Reddit is that the platform is divided into different communities, each with its own set of rules and attributes. This means that no matter what type of content you’re looking for, there’s a range of crypto subreddits that are suited to you.

For instance, if you’re looking for general news about the cryptocurrency world and the crypto community, then r/Cryptocurrnecy is an excellent place to start. Alternatively, if you’re interested in a specific coin, then you’re best off joining subreddits such as r/Bitcoin and r/Ethereum. Or, if you’re just after some fun and carefree content, then the relaxed meme-oriented subreddit r/CryptocurrencyMemes will be your best option.

5 Top Vulnerability Management Trends In 2023

Vulnerability management seeks to lower risk by identifying and dealing with any possible lines of incursion into a network by cybercriminals.

The field of vulnerability management includes automated scans, configuration management, regular penetration testing, patching, keeping track of various metrics, and reporting. The category has been evolving rapidly within cybersecurity, and here are some of the top trends in the vulnerability management market:

Vulnerability management is all about identifying, prioritizing, and remediating vulnerabilities in software.

As such, it encompasses far more than the running of vulnerability scans repeatedly to look for known weaknesses lurking within the infrastructure. Traditionally, vulnerability management also includes patch management and IT asset management. It addresses misconfiguration or code issues that could allow an attacker to exploit an environment as well as flaws or holes in device firmware, operating systems, and applications running on a wide range of devices.

“These vulnerabilities can be found in various parts of a system, from low-level device firmware to the operating system all the way through to software applications running on the device,” said Jeremy Linden, senior director of product management, Asimily.

See more: A holistic approach to vulnerability management solidifies cyber defenses

Some analysts and vendors stick strictly to the NIST definition when they’re talking about vulnerability management. Others include security information and event management (SIEM) with vulnerability management as part of larger suites. And a few combine it with threat intelligence, which prioritizes actions and helps IT to know what to do and in what order.

Gartner recently originated the new term attack surface management (ASM). The analyst defines ASM as the “combination of people, processes, technologies, and services deployed to continuously discover, inventory, and manage an organization’s assets.”

ASM tools are said to go beyond vulnerability management. The aim is to improve asset visibility, understand potential attack paths, provide audit compliance reporting, and offer actionable intelligence and metrics.

The as-a-service trend has invaded so many areas of IT, so it’s no wonder that vulnerability management as a service has emerged.

“With more than 20K vulnerabilities found and published in a single year, vulnerability management has become an enormous task,” said Michael Tremante, product manager, Cloudflare.

“This is made worse for large enterprises who also have the challenge of not necessarily knowing the full set of software components being used internally by the organization, potentially putting the company at risk. A big trend is adoption of managed services/SaaS environments, as they are externally managed, and offloading of vulnerability management to third parties.”

Thus, a growing set of products are hitting the market that help companies tackle vulnerability management via managed services of one kind or another.

See more: Vulnerability Management as a Service (VMaaS): Ultimate Guide

Containers and Kubernetes have become largely synonymous with modern DevOps methodologies, continuous delivery, deployment automation, and managing cloud-native applications and services.

However, the need to secure containerized applications at every layer of the underlying infrastructure — from bare-metal hardware to the network to the control plane of the orchestration platform itself — and at every stage of the development life cycle — from coding and testing to deployment and operations — means that container security must cover the whole spectrum of cybersecurity and then some, said KuppingerCole.

See more: Securing Container and Kubernetes Ecosystems

Due to the way the threat landscape is evolving, the way vulnerability management platforms are shifting, and the fast pace of innovation as evidenced by containerization, digitalization, and the cloud, a new approach is needed, according to Ashley Leonard, CEO, Syxsense.

“Businesses possess incredibly powerful processors inside storage equipment, servers, and desktops, which are underutilized in many cases” Leonard said.

For example, Syxsense has been incorporating more features into its vulnerability management tools. This includes more orchestration and automation capabilities, stronger endpoint capabilities, and mobile device management. These augment existing patch management, vulnerability scanning, remediation, and IT management capabilities.

See more: 12 Top Vulnerability Management Tools

Top 10 Docker Alternatives That Stand Out That You Should Know In 2023

The top Docker alternatives that stand out in 2023 do not need modification to run across any desktop

Docker has several standalone alternatives, some of which offer virtualization technologies and cross-platform support. Docker alternatives that stand out are also Open Container Initiative (OCI) tools that work with Docker, replace some Docker components, or work with other Docker alternatives to form robust Docker competitors.

Thanks to its contemporary tools, compatibility, sizable community, and simplicity of use, Docker is still relevant for the majority of container projects, apps, and developers today. The licensing for Docker Desktop has recently changed, among other modifications made by Docker Inc. Consider these Docker alternatives that stand out in 2023 if you’re worried about the future of Docker and the exponential growth of Kubernetes because there are probably yet more changes to come. In this article, we’ll discuss the top Docker alternatives that stand out in 2023.

LXD

Containerd

For many years, Docker’s primary container runtime has been Containerd, a CNCF-graduated project. RunC is presently used by Docker. For its host system, Containerd manages every facet of the container lifecycle.

ZeroVM

A portable, lightweight, and secure tool called ZeroVM is used to build isolated environments where a single process may operate at a time. The Chromium Native Client (NaCl) project provides the basis for this strategy. Other virtualization and container technologies, in comparison, offer a completely virtualized operating system and running environment for running several processes.

Podman

The lib pod library is used by the Linux-native container engine Podman to provide tools for managing the lifetime of containers. The application is excellent at executing the commands and operations, such as pulling and tagging, that update and modify OCI pictures. Additionally, it aids in building, running, and maintaining the containers you build using those images.

Vagrant

You may replicate several, conditioned virtual environments across several operating systems and virtual machines with HashiCorp’s Vagrant. It makes it easier to create a virtual environment that you can duplicate on various networks, VMs, and OSs. Interoperability is facilitated by this. For app development, staging, and deployment, you may also establish complementary virtual environments.

Microsoft Azure Container Registry

You may use Docker Command-Line Tools to store and manage container images using a private Docker registry that is accessible through Microsoft Azure Container Registry. It supports Twist Lock compatibility, runtime protection, and screening for container vulnerabilities in addition to strong security features. Running container projects on Microsoft Azure makes sense because it is the second most popular cloud computing platform behind Amazon Web Services (AWS).

RunC

RunC is a Command-Line Tool for spawning and operating containers on Linux systems that are hosted on GitHub. Based on OCI standards, it performs this. RunC used to be a low-level utility, hence it wasn’t recommended for end users to use it directly. Now that a standalone version of runC is available, you may use it independently or with Docker.

BuildKit

BuildKit is an image-building tool included in Docker Build that was developed by the Moby Project (Docker version 18.09 and later). Additionally, Moby offers it as a standalone tool. BuildKit runs as a daemon, just like Docker. Conversely, BuildKit uses parallel build processing to increase speed for quicker builds whereas Docker creates each image layer individually.

Buildah

Buildah could be your best option if you want to create OCI container images without setting up a standalone container runtime or daemon. Buildah’s main goal is to produce OCI photos. Its instructions repeat those found in a Dockerfile. As a result, you can construct images both with and without Dockerfiles without having to have root access. Both Docker and Kubernetes will continue to support the images.

Rkt

5 Surprising Ways You Can Use Ai In Marketing Right Now

When you think of artificial intelligence, or AI, humanoid robots or some kind of computer-generated all-knowing being, like Don Cheadle’s character in the new Space Jam, may come to mind. While artificial intelligence sounds like a far-off concept, it’s actually more accessible than you might think.

Never thought that the villain in Space Jam: A New Legacy would be an AI. But here we are in 2023.

In fact, most of us encounter some type of artificial intelligence every day. It’s how you receive product recommendations while browsing online, it’s that magical skill that understands your voice when you speak to Siri or Alexa, it recognizes the faces in your photos, it automatically moves the spam emails you receive into your Junk folder, and it sends you a text message when it suspects you might be a victim of credit card fraud.

Artificial intelligence is all around us. And it’s making life easier. But what about AI in marketing?

There are practical ways to use artificial intelligence in marketing that are accessible for businesses both large and small. In this post, we’ll discuss

What AI in marketing is

Examples of AI in marketing

How you can use artificial intelligence in marketing right now

So, take my (non-robotic) hand, and let’s learn about AI in marketing together.

What is AI in marketing?

Let’s start off with a few basic definitions. The definition of AI, or artificial intelligence, is “intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.” AI is essentially the science of programming machines to be smarter than we are by making accurate predictions based on large sets of data.

AI in marketing is the practice of applying artificial intelligence to marketing tactics, strategies, or practices.

AI for marketing often happens in:

Data collection

Data analysis

Content creation and curation

Product recommendations

Search recommendations

Ad targeting

Website chatbots

Marketing automation

We’ll get into some of these in-depth a little later.

Types of AI in marketing and examples

There are four common types of artificial intelligence applications that are used in marketing: virtual reality, augmented reality, voice, and machine learning.

Virtual reality

Virtual reality, or VR, is when you’re immersed in an environment outside of your own reality. Created with stereoscopic sound and 3D computer imaging, VR creates an immersive, believable experience that makes you feel like you are there both mentally and physically. Turn your head and the world turns with you, so the illusion created is never lost.

Examples of virtual reality in marketing

Virtual reality is used in marketing to create experiences, and it’s something that’s becoming more commonplace for businesses.

This use of AI marketing in the form of a virtual reality campaign allowed Volvo to target users who weren’t near a dealership or who may not have visited the dealership prior to the XC90 Experience.

Other brands, such as LiveNation, have also used VR to create experiences for customers—and it’s something that we know will only continue.

Augmented reality

Augmented reality, or AR, is the augmentation of your own reality, the one that you’re currently in and surrounded by. AR lets us see the real-life environment right in front of us—my computer screen, my cup of coffee, my dogs sleeping in a chair—and overlays it with digital augmentation. So the real world and the digital world are intertwined.

Examples of augmented reality in marketing

There are some really cool examples of augmented reality marketing campaigns, and brands are getting more and more creative in how they’re using AR in marketing.

One example comes from IKEA. Their app, IKEA Place, allows users to place “true-to-scale” models of IKEA furniture right in their own spaces. Not sure if a rug will work with your current furniture? Try the app. Looking for a new bedside table but want to make sure it will fit? The app helps with that, too.

This genius application of AI marketing in the form of an AR app solves a problem many shoppers have when it comes to their furniture purchases.

Another one of my favorite examples of AR is USA TODAY’s 321 Launch app, which lets you use augmented reality to experience a rocket launch right from your phone on any flat surface.

Through immersive storytelling and creative experiences that solve consumer problems, augmented reality provides a practical and impactful use for AI marketing.

Voice

Voice is one of the forms of artificial intelligence that the majority of us are most familiar with. Artificial intelligence powers Siri, Alexa, Google Home, and other voice assistants and uses natural language processing to understand our queries and identify our unique voices.

Examples of voice AI in marketing

Marketers, brands, and local businesses are still trying to harness the power of voice search, even though it’s technically been around since 2010. If your business or brand can be the one recommended by voice assistants after a local search, you can win a large share of the market. It just comes down to how to do that.

Related: Get our guide to master voice search for your business.

If you’re looking for a real-world example, just ask your voice assistant for “best restaurant near me” or “dry cleaners open now” and see what results you get.

An example of voice search results from Siri.

Machine learning

Machine learning is a type of AI that means a machine can learn on its own without being programmed to do so by a human. Its system can automatically learn and improve from experience. Sounds a little crazy, right?

AI will gather information like what types of shows you watch on Netflix, the kinds of products you buy on Amazon, how many minutes you leave your refrigerator open, whether you prefer the scenic route or the quickest route in the car, and what kinds of jokes you like. It can then make recommendations based on this data and improve over time.

Machine learning is the reason your Spotify playlists can become so narrowed in on what you like or don’t like—it’s learning from your behavior based on every liked or skipped song.

Dave gets it.

Examples of machine learning in marketing

Machine learning is probably the most common application of artificial intelligence in marketing because it can happen in the backend of a lot of systems and programs. Google and Bing both use machine learning AI to refine search results.

Google even has a name for theirs: RankBrain. RankBrain is “a component of Google’s core algorithm which uses machine learning to determine the most relevant results to search engine queries.”

According to Moz, “the query goes through an interpretation model that can apply possible factors like the location of the searcher, personalization, and the words of the query to determine the searcher’s true intent. By discerning this true intent, Google can deliver more relevant results.”

In layman’s terms, RankBrain is using machine learning to process searches and deliver what it deems as the most useful result to the searcher.

Machine learning is hugely useful in instances where there is a large amount of data to process and has optimized many aspects of marketing for businesses and brands both large and small.

Related: The benefits of artificial intelligence in marketing.

5 ways to use artificial intelligence in marketing

You’re sold on artificial intelligence in marketing now, right? Great! So how do you get started? Here are a few ways your business—no matter the size or budget—can use artificial intelligence to power your marketing.

1. AI and lead management

Here’s an example of email templates that use AI and automation to keep contacts engaged after becoming a lead from LOCALiQ’s Client Center.

2. AI and A/B testing

A/B testing has many benefits for your marketing campaigns. By A/B testing your campaigns, you can identify what is resonating with your customers so you can drive better results and maximize your budget.

When AI is used in A/B testing, automatic tests and tweaks can be created and analyzed without you needing to manually isolate variables and create tests. The AI can then select the best-performing ad variation and run that without you lifting a finger.

This combination of AI and automation allows you to A/B test more variations and zero in on the factors that will drive the best results. Plus, with machine learning involved, the AI will continue to learn what’s working best for your campaigns and make recommendations based on those results.

3. AI and budget optimization

One challenge many brands and business owners encounter is distributing their marketing budget across channels. This is often an extremely manual process that requires the use of multiple systems, reports, and calculations to determine the right budget mix. And when it comes time to make changes, you’re going through the steps all over again.

By incorporating AI into your marketing budget mix, automatic optimizations can be made to your budget and bids across channels through a single system.

Often, these optimizations can be made based on the channel and channel-specific factors like targeting, bid strategy, and more, that are driving the best results for your business. This makes your cross-channel marketing more effective and easier for you to execute.

4. AI and ad design optimizations

Similar to A/B testing, there are times when you’ll want to test ad design variations to find out what will drive the best results. One way you can do this is by using AI in your design optimizations.

This can result in small design changes, such as shortening copy, changing the color of a call-to-action button, or updating font, which can lead to meaningful results.

Here’s an example of an ad design that was tested and optimized using AI:

5. Creating experiences with AI

What’s going to set your business apart from others in your market? Many marketers believe the answer is through creating unique experiences that engage your customers. If you can provide a way for customers to engage with your business in a meaningful and impactful way, you can stand out from the competition and win more than just new business—you can win brand loyalty.

Not every business and brand has the means to host or create mind-blowing in-person experiences like customer appreciation events or conferences featuring the biggest celebrities. But you can think creatively and use AI in the form of virtual reality or augmented reality to create experiences and connections with your customers—no matter where they, or you, are located.

One of my favorite examples is St. Jude’s Hall of Heroes campaign. Using virtual reality, St Jude gives people a way to hear stories from childhood cancer survivors and their families so they can experience something through VR that they wouldn’t get to experience otherwise.

Think of ways you can use AI in marketing to create experiences and connect with your customers—even if it’s something as simple as adding chat to your website or creating automatic email replies when you receive an inquiry after hours.

Artificial intelligence in marketing: An intelligent decision for any business

Artificial intelligence in marketing will only continue to gain steam in the coming years. You can set your brand apart by using AI to deliver a good customer experience, demonstrate value to your customers, streamline processes for your business, and make meaningful optimizations that will drive better results.

Stephanie Heitman

Stephanie is the Associate Director of Content for LocaliQ and WordStream. She has over 10 years of experience in content and social media marketing and loves writing about all things digital marketing. When she’s not researching the latest and greatest marketing news and updates, she’s probably watching reality TV with her husband, reading, or playing with her two pups.