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Why is AI important for digital marketing agencies?

AI can not just do the basic spade work for marketers but can also gaze down the proverbial crystal ball with its clairvoyant powers and deliver results at half the manual TAT and cost to companies with the right kind of prompts and knowledge bases.

Findings have led the way to the light with a 27% marked uptick in AI adoption and implementation of the 341 surveyed top marketers of for-profit U.S. companies. The bi-annually held CMO survey reported the following three top scenarios of AI deployment in the marketing genre:

Chart showing AI adoption percentages

Deploying AI to streamline mundane and creative tasks can be extremely important for digital marketing agencies along the following three pillars: personalization, optimization, and innovation.

Let’s delve into all of them:

Delivering personalized experiences

One of the most magical aspects of AI is that it can help you deliver a personalized experience to every valued customer. With tools for social listening, web analytics, and an in-depth analysis of customer behavior and purchase history, AI can analyze huge chunks of data from a repertoire of erstwhile-mentioned sources.

Marketers can use it to create customer segments, personas, and profiles. AI can also use natural language processing (NLP) and natural language generation (NLG) to create relevant and engaging content for each customer, such as emails, headlines, landing pages, and ads.

Marketers can leverage a wealth of AI tools to curate and offer personalized experiences, such as Jasper, 6Sense, Copy.ai, Persado, Lately, etc.

Data Analytics

In marketing, AI can analyze massive campaign data sets and provide concise insights.

AI can also forecast the results of marketing campaigns based on past data, such as how customers interact and engage with your brand, buy your products/services, or open your emails.

This will help you optimize your time when planning and creating marketing materials for your campaigns.

Looking to leverage AI to save time and efforts you put into client projects and still deliver value?

Generating content

AI tools can be used to come up with email subject lines, blog copy, and social media posts. But the jury is still divided on the efficacy of these, and human experience is still needed to peruse the copy before you may consider hitting the publish button!

Many marketers may use AI tools such as Writesonic or Copy.ai to curate first drafts, which they can later refine and render a human touch, too. This helps quicken the content delivery process by reducing the massive amount of time that can be spent coming up with ideas for first copies.

A recent infographic published by Email Uplers brought up some interesting results.

When asked whether AI tools were already a part of RPEOrigin’s email copywriting tool kit, this is what Ryan Phelan, Managing Partner, RPEOrigin, had to say about the question at hand,

“Interestingly enough, the premise that AI can help bridge the gap between effective copy and scale has not yet come to fruition. We do not use AI for copywriting but are exploring a wide array of other uses that may increase production. Our approach is not to replace something for the sake of innovation, but to do so in a responsible matter that benefits the customer and end consumer.”

On the other hand, some are more candid and experimentative with the advent of the inevitable change on the horizon. Here’s what Des Brown, GM TouchBasePro, had to say when posed the same question,

“I think I'd be chastised by any marketing community if I say I don't use ChatGPT or Google's Bard, but they are one of my email idea-generation tools, which is a start.

My ESP, TouchBasePro, has some advanced AI content and copy features, which include AI-article processing and recommended content. This saves a ton of time moving copy over to the email environment by clustering content preferences based on the activity users on a website are taking. This works super well for Publisher customers I work with. It takes away a ton of the manual segmentation and effort in content creation when news feeds into emails.”

So, the binding segue to this discussion may be that some welcome AI-generated content with open arms while others are a little conscious of going out and about with this new baby of generative AI.

What AI can do for your marketing campaigns and goals?

We are standing on the cusp of a major wave of change that some may call disruptive and feed the fears of an ever-compressing job economy. However, at the cost of standing cliched, we maintain that change is the only constant, and it is in the best interest of our marketing agencies community to make the best of the power on offer that comes with the incorporation of AI.

Let’s crunch some numbers before we proceed to leverage AI to achieve your marketing goals and campaigns.

Now, that’s some solid food for thought! Let’s dive deep into the scenarios where marketers working in agencies can leverage AI to achieve your clients’ marketing goals and campaigns.

How to get started with AI in your agency?

If you want to start implementing AI for your marketing agency, you might find the following steps helpful:

Too much unsurity about AI? Wish to talk to a fellow agency that’s already adopted the AI revolution?

Chapter 1

AI in Marketing:What It Is and How It Works

AI, the key applications, and some use cases of leveraging AI in marketing. Let’s hit the throttle, shall we?

The definition and types of AI

Artificial Intelligence can be categorized into multiple types based on a plethora of categories. Here is one such categorization that is most commonly used.

  • Reactive machines are the most fundamental type of artificial intelligence. They can only respond to current situations based on predefined rules, much similar to Newton’s third law of motion. However, they cannot learn from past experiences or use memory. An example of a reactive machine is IBM's Deep Blue, which defeated chess champion Garry Kasparov in 1997.
  • Limited memory machines are equipped to use some information from past events to make decisions, but they cannot store it permanently. They are often deployed for tasks that require short-term memory, such as self-driving cars or chatbots.
  • Theory of mind machines are hypothetical machines that can understand the mental states of others, such as emotions, beliefs, and intentions. They can also interact with humans and other agents in a natural and social way.
  • Self-aware machines are hypothetical “sentient” machines that have a sense of self and consciousness. They can reflect on their own actions and goals and modify them accordingly. They can also understand their role and impact in the world.

Decoding the benefits and challenges of AI in marketing

While the benefits of leveraging the power of AI in marketing are aplenty, it is also pertinent to watch out for potholes and blind spots that might backfire on your carefully articulated marketing strategies and campaigns. Let’s weigh the pros and cons of using AI in enhancing your campaigns and become privy to the lanes you should watch out for!

Benefits of deploying AI in marketing campaigns

01. Levelling up Social Media Listening

AI can boost your social marketing efficiency by enhancing your social listening capabilities.

AI can also analyze and extract relevant information from millions of social listening data points in real-time, using aspect-clustering algorithms. They help you filter out the irrelevant noise and tune into the customer's thoughts and feelings through social media sentiment analysis. This way, you can predict your customers' next actions and plan your strategies accordingly.

02. Enhance your ROIs

With AI's speed, efficiency & automation capabilities, you can reach your ultimate goal of hearing that cash register jingle faster. Higher ROI results from leveraging AI-powered data analytics and deeper insights into consumer behavior and browsing patterns that help curate enhanced marketing assets, improving campaign performance in real-time.

03. Enhance Customer Relationships

When you deliver personalized suggestions and purchase recommendations to every customer or subscriber on your emailing list, it sends out the message that you care.

AI helps you hyper-personalize content and marketing assets in real-time, thereby giving you a chance to lay the foundation of a strong relationship between the brand and the consumer, as well as re-engaging those who might have lost touch with the brand.

04. Carry Out Audience Segmentation & Personalization

When you deploy AI marketing, you can tailor your omnichannel business strategies to target the customers who are most likely to purchase your product or service based on market segmentation. You can also use programmatic advertising to automate the process of selection and setup of digital ads to realize the best ROI. This empowers you to create more personalized marketing approaches to foster brand loyalty and awareness.

Challenges of Integrating AI in Marketing Campaigns

Much like there are two sides to the coin, there are certain challenges or cons that AI naysayers have in mind. Let’s check out some of them.

  • Lack of human touch and personalization: AI may not be able to replicate the emotional intelligence and personal touch that human marketers can provide. Building strong customer relationships often requires empathy, intuition, and the ability to adapt to unique situations, which are areas where AI may fall short.
  • Ethical concerns and privacy issues: AI-powered marketing techniques heavily rely on collecting and analyzing user data to provide targeted advertisements and personalized experiences. However, this raises ethical concerns and privacy issues, as consumers may be worried about their privacy and the potential misuse of their personal information. If not properly addressed, these concerns can lead to a loss of trust, damaging a brand's reputation and success.
  • Dependence on data accuracy and quality: AI algorithms rely on high-quality, accurate data to make informed decisions and predictions. However, data can be imperfect, incomplete, or biased, leading to poor outcomes. Additionally, AI systems require continuous training and updating to adapt to changing trends and user behaviors. Marketers relying solely on AI without ensuring data accuracy and quality can result in misguided strategies and ineffective campaigns.
  • Limited creativity and intuition: Creativity and intuition are crucial components of successful marketing campaigns. However, when relying solely on AI, there are certain limitations in creativity and innovation. It may lack the ability to generate innovative ideas or think outside the box. These limitations can result in AI-driven marketing strategies becoming formulaic and lacking the human touch that sparks true creativity.
  • Implementation challenges: Implementing AI for marketing campaigns may require significant investment in terms of budget, time, and resources. Marketers may also face technical difficulties or compatibility issues when integrating AI tools and platforms with their existing systems. Moreover, marketers may need to acquire new skills or hire experts to use AI for their marketing campaigns effectively.

Key Applications and Use Cases of AI in Marketing

There are multiple use cases of leveraging AI skillfully and ethically in a brand’s marketing strategies. Some of them are;

  • Media Buying: AI can help a business find the best ad and media placements to reach their target audience and increase their marketing strategy ROI.
  • Analyzing Data: AI can help marketers save time and effort by collecting and analyzing large amounts of marketing data from various campaigns and programs instead of manually sorting them.
  • Natural Language Processing (NLP): AI can help marketers generate human-like language for various purposes, such as content creation, customer service bots, experience personalization, and more.

Other use cases include content generation and real-time personalization, to name a few aspects.

Chapter 2

AI in Content Marketing: How to Create and Distribute EngagingContent & Design Experiences with AI

Ways AI can help with content marketing- In a nutshell
Research, write, and optimize content for audience and SEOPersonalize, automate, and measure content distribution
Augment the website design process: create sitemaps, wireframes, style guidesSave time, effort, and resources in content creation and marketing

In this section, we will shed light on how marketers can leverage the power of AI in taking your SEO game to the next level, as well as rendering the penultimate wings of freedom in elements of design.

How AI can help you research, write, and optimize
content for your audience and SEO

Every brand has a specific tone, voice, and segment of audience centered around which they create their content pillars. With a plethora of ever-evolving AI tools at our disposal, the process of content generation has witnessed a boost in the speed of churning out relevant content that may serve as a skeletal framework for humans with an eye for the written word to build upon.

Once you have the framework ready for a blog copy or even that email or social media post copy, human writers can easily work their magic and infuse just the right amount of brand flavor, chutzpah, quirk, and that WOW factor that machine learning is yet to replicate!

Here’s how AI can help you rank higher on those SERPs with fresh, off-the-oven-baked blogs and copies that make your writers’ work easier and stay true to the brand’s voice!

  • Research is often the make or mar ingredient of every well-written or curated piece of content. The good news is that we roped in our team techie to share his latest learnings on AI, and he came up with this super cool custom-made bot (generated using Botpress) that can help content creators analyze a particular URL and ask questions about it! How cool is that? This saves the time involved in reading each blog, assimilating parts that you think might be relevant, and then getting down to the process of framing and writing the piece based on similar research through multiple resources.
  • When we interacted with our SEO experts, they had the following insights to offer,
    1. Currently, they are focussing majorly on deploying AI for generating content and automating redundant tasks in the field of SEO. They have successfully deployed Publer.io to deep dive into and leverage all elements of local SEO.
    2. With a future goal of being an AI-empowered company in the years to come, they make use of Chat GPT 4.0 and have also invested in the paid version of Jasper.
    3. Here’s a list of AI tools that they have experimented with to automate their repetitive and time-consuming tasks.
      Time Consuming SEO TasksRecommended AI Tools
      Internal Linking TasksAhrefs Tool
      Image Alt Text TaskChat GPT 4.0 using API
      Creating Guest Blogging Prospects Website ListLinkhunter.com
      Writing Meta DescriptionChat GPT 4.0 using API
      Creating Topic IdeasChat GPT 4.0
      Content PlanningChat GPT API
    4. With a lack of free versions of AI tools and an absence of solid branding, there is a major lack of trust in investing in the paid version of multiple AI tools that can be repackaged using Python script running on existing Chat GPT API.
    5. With regards to content quality generated using AI, they voiced mixed emotions. Firstly, it is definitely making life easier for professionals, as well as helping firms cut corners wherever possible. Secondly, experts have voiced concerns over AI rehashing existing content from websites that are already ranking and serving it to the viewers. However, people are usually on the lookout for fresh, unadulterated content. However, AI can definitely not match the finesse and content quality dished out by a human expert in the field. So, as of now, the content generated by AI may be identified by Google as something that doesn’t offer any extra value to the user and, therefore, might not rank on SERPs.
    6. Google might come out with algorithm updates to identify content and suitably filter out AI-generated content that doesn’t add more value. The end goal is to offer value to the end consumer.
    7. In the EEAT ranking factors, the experience factor might be totally missing in AI-generated content. Therefore, the experts conceded on one point that in generating numerical value or customer-journey-related content, AI might help deliver content that works. However, in YMYL topics, human experts are still the best to bank on!
    8. They also had an interesting observation to share that AI-generated content ranked on Google SERPs only for a fortnight or so and then lost its position to those that were probably written by human experts who had the experience and relevant content to offer.
    9. The reliability and trustworthiness of AI-based tools is still a major loophole that needs to be addressed before we can hand over the reins of content and SEO to intelligence that is not entirely human.

How AI Can Help You Personalize, Automate, and Measure Content Distribution Across Channels

AI can help you personalize, automate, and measure content distribution across channels in various ways. Here are some examples:

  • AI can help you draft personalized content for different audiences, platforms, and devices. You can use AI to analyze your audience's preferences, behavior, and needs and deliver tailored content that will resonate with them. For example, Persado is an AI platform that helps you generate creative and effective messages for your marketing campaigns.
  • AI can help you automate the process of content creation and distribution. You can use AI to generate content from outlines, repurpose content for different channels, and create support content like newsletters and social posts. For example, Jasper is an AI writing assistant that can create SEO-optimized blog posts, emails, and other written marketing materials based on seed words and tone of voice.
  • AI can help you measure your content performance and optimize your strategy. You can use AI to collect and analyze data from various sources, such as web analytics, social media, and customer feedback. You can also use AI to test different versions of your content and find the best one for your goals. For example, Optimizely is a platform that uses AI to create personalized web experiences based on real-time data.

How To Use AI Tools and Platforms for Content Creation and Marketing

AI tools and platforms can help you with various aspects of content creation and marketing, such as generating ideas, writing, editing, optimizing, and distributing content. Here are some steps you can follow to use AI tools and platforms for content creation and marketing:

Step
01

Identify your content goals and audience. Before you use any AI tool or platform, you need to have a clear idea of what you want to achieve with your content and who you want to reach. This will help you choose the right AI tool or platform for your needs and tailor your content accordingly.

Step
02

Research and brainstorm content ideas. You can use AI tools and platforms to generate content ideas based on your keywords, topics, or industry. For example, you can use ChatGPT to brainstorm ideas for social media posts, blog articles, newsletters, and more. You can also use Kive.ai to create mood boards for your video projects based on the style or tone you want to emulate.

Step
03

Write and edit your content. You can use AI tools and platforms to write short and long content pieces, such as headlines, captions, summaries, paragraphs, and more. For example, you can use Jasper to write SEO-optimized blog posts, emails, and other written marketing materials based on seed words and tone of voice. You can also use Grammarly to check your grammar, spelling, tone, and readability scores.

Step
04

Optimize your content for SEO and conversions. You can use AI tools and platforms to amp up your search rankings and drive more organic traffic to your website. For example, you can use AlliAI to optimize your website for SERPs in just minutes. You can also use Persado to generate creative and effective messages for your marketing campaigns that resonate with your audience.

Step
05

Create visual and audio content. You can use AI tools and platforms to create engaging and attractive visual and audio content to capture your audience's attention and interest. For example, you can use Lumen to turn your text into videos in minutes. You can also use Lilt to create multilingual content with speed and accuracy.

Step
06

Distribute your content across channels. You can use AI tools and platforms to automate your content distribution process across different channels, such as social media, email, web, etc. In addition to the previously mentioned Optimizely, you can also use Predis.ai to analyze your competitors' social media strategies and optimize your own.

Deploying AI in Augmenting
The Design Process

When we collaborated with the design and web development experts on our team to understand their journey so far with using AI tools to complement the design process, this is what they had to say.

  • The idea was to leverage AI tools that will help designers with the research part, wherein earlier, they had to go through references on Google for creating sitemaps, information architecture, wireframes, and carrying out competitor analysis before designing a user interface.
  • This process of research takes a day or two manually. This is where Relume comes into the picture to simplify a day or two long process into a couple of minutes by generating sitemaps, wireframes, and the like by giving simple prompts.
  • For instance, if the client needs a website for a SaaS product, then you can use the following company description in the Generate Sitemap text box: “A SaaS-based company with three products that are automation-oriented.”Also, remember to insert the number of pages. Then, proceed to click on “Generate.”
  • The platform then automatically proceeds to generate a Primary Sitemap for the website along with the list of sections that should be covered.
  • The designer can use the drag and drop feature to adjust the sections as per their convenience or delete a section/s that they do not deem fit.
  • Once the designer is satisfied with the sitemap, they can proceed toward generating the wireframe, which will be generated automatically.
  • Conclusively, the tool can help you create sitemap wireframes, shuffle the elements, add or eliminate sections, and experiment with multiple wireframe layouts available in the tools’s library. This helps create first drafts for client perusal within minutes so that they can clearly envision the look and feel of their upcoming website. The editable feature of the page copy also helps in making any last-minute changes the client might recommend.
  • The wireframe can be easily exported to Figma, a design tool. The Figma Relume Library has multiple style guides that can be made to reflect in the end design automatically. The process of creating a style guide, which also takes a lot of time, is saved over here. The Figma Relume library plugin does not run on AI elements; it simply helps integrate style guides in the wireframes created on Relume.
  • Relume also has the option to export the wireframe to Webflow, which is a CMS platform similar to Wix & Framer. With a very design-friendly interface, Webflow helps create websites using drag and drop editor.
  • The whole process of creating a sitemap, exporting it into Figma, and then exporting it into a first draft homepage took around 8-10 hours, which normally takes 3-4 days to complete (once it undergoes the design and development cycle without using AI.)
  • It is important to note that the AI elements are restricted only till Relume. The rest of the process has been set up in such a way that it takes less time to create the web pages.
  • Human intervention is still needed to ensure seamless quality and turnout of the responsive pages.
  • The TAT of delivering a five-page website to the client using AI comes down to one week by making use of AI tools instead of the erstwhile three to four weeks. These are examples of webpages designed using Relume, Figma & Webflow by our designers at Mavlers: https://spiritflow.webflow.io/, https://indiegigs.webflow.io/.
  • Figma AI Email Library has also revolutionized the process of designing emailers at Mavlers. Erstwhile, it took our designers approximately three to four hours to design an emailer, and they took one day’s time to show the first proof concept to the client. The designers have created a style guide in Figma similar to the one mentioned earlier, with ten-fifteen incorporated elements such as logo, header, hero banner, etc. By making use of this Figma Email Library, designers can now design an emailer in one hour instead of the usual three to four hours. The elements or sections are created using Figma Auto Layout. There is a tool known as Magician Plugin, which is a magical design tool for Figma powered by AI. This can be used to generate unique and relevant icons, copies, and images.
  • For a moment, close your eyes and imagine the following scenario, you are a designer with an awesome design up your sleeves and you are ready to deliver the first proof to your client. Now think of a scenario where you could let the client know the expected user engagement with specific portions of the design and its overall clarity. Yes! You can now deploy the power of Attention Insights, a Figma plugin that turns your dream into reality with the following three USPs;
  • Delivers crucial feedback in less than a minute
  • Provides AI-generated predictive attention analytics that are 90-96% accurate
  • No data leak worries with 100% GDPR and privacy compliance

Another cool feature of this tool is the added value that you can offer to your clients along with the AI generated heatmaps. If the clarity is not optimum, you can tweak the design and deliver the optimized design version.

  • We are all familiar with leveraging MidJourney for creating images. Designers at team awesome@Mavlers experimented with Dall-e3 in Chat GPT Plus and came up with realistic images that gave serious competition to the outputs of MidJourney. These images can be used in websites or other design platforms after citing due credits to Dall-e 3.
  • If you are an avid user of Photoshop & Illustrator, you can make use of Generative AI feature that can help you edit, extend their size or remove portions of the images you created using Dall-e 3.
  • We are all privy to the levels of market, industry and UX research that goes into building an app or product.QoQo.aioffers solutions for problem statements that can help one design landing pages according to user needs. It can be used to create user personas, carry out journey mapping, affinity mapping, design briefs, etc.

Faster & Better! Design emails, landing pages, banners, and more with Mavlers’ team of experts.

Chapter 3

AI in Social Media Marketing:
How to Connect and Convert with AI

Ways AI can help with Social Media Marketing- In a nutshell
Understand, segment, and target your social media audienceCreate, schedule, and optimize social media posts and ads
Engage with your audience by setting up chatbots, joining viral conversations, providing feedbackMonitor and analyze your social media performance by collecting and analyzing data

In this section, we will delve into how AI can help marketers segment their target audience, create, schedule, and optimize social media ads and posts as well as an insight into AI tools relevant for social media management and analytics.

How AI can help you understand, segment, and target your social media audience.

AI can help you understand, segment, and target your social media audience in various ways. Here are some examples:

How AI can help you create, schedule, and optimize social media posts and ads:

With the help of AI tools, one can create, schedule, and optimize social media posts and ads in multiple ways. Here are some ways to do that:

How to use AI tools and platforms for social media management and analytics:

AI tools and platforms can help you with various aspects of social media management and analytics, such as creating content, scheduling posts, engaging with followers, monitoring performance, and optimizing strategy. Here are some steps you can follow to use AI tools and platforms for social media management and analytics:

Step
01

Choose the right AI tool or platform for your social media goals and needs. While choosing amongst the many AI tools available in the market, consider factors such as your budget, your target audience, your preferred channels, your content type, and your desired outcomes. For example, if you want to curate engaging visual content for your social media posts, you can use Lumen5, an AI-powered video maker that helps you turn your text into videos in minutes.

Step
02

Link your social media accounts to your AI tool or platform. You should be able to link your social media accounts to your AI tool or platform easily and securely. This will enable you to manage your social media content from one place. For example, if you use Sprout Social, a platform that uses AI to help you plan, organize, and deliver your social media content across multiple channels, you can connect your Facebook, Twitter, Instagram, LinkedIn, and Pinterest accounts to Sprout Social.

Step
03

Create and schedule your social media content using AI. You can use AI to generate content ideas, and write captions, headlines, summaries, and more. You can also use AI to schedule your social media posts at the best times and frequencies based on your audience's behavior, engagement, and conversion patterns. For example, if you use ChatGPT, an AI tool to brainstorm ideas for social media posts, blog articles, newsletters, and more based on your keywords, topics, or industry, you can create captivating social media posts in minutes. You can also use Optimizely, a platform that uses AI to create personalized web experiences based on real-time data, to optimize your social media posts for maximum performance and ROI.

Step
04

Engage with your social media audience using AI. You can use AI to provide customer service to your social media audience by setting up chatbots that can respond to their queries, requests, and feedback. You can also use AI to identify new trends and viral topics across social platforms and join the conversation. For example, if you use Sprout Social, you can use their chatbot to cater to their customers' support needs on Twitter.

Step
05

Monitor and analyze your social media performance using AI. You can use AI to collect and analyze data from various sources, such as web analytics, social media analytics, and customer feedback. You can also use AI for social listening by using sentiment analysis. For example, if you use Predis.ai, an AI tool that helps you analyze your competitors' social media strategies and optimize your own, you can get a comprehensive report on your social media campaign performance, including metrics such as reach, engagement, conversions, sentiment, etc.

Manage your clients’ social media marketing with ease with Mavlers.

Chapter 4

AI in Email Marketing:
How to Deliver and Delight with AI

Ways AI can help with Email Marketing- In a nutshell
Build, segment, and update your email listDesign, write, and test email campaigns and subject lines
Automate,optimize your email marketing by analyzing customer data and behavior

In this chapter of the ebook, we will familiarize ourselves with the ways to build, segment, and update your email list with the help of AI tools, and generate, test email campaigns, subject lines in addition to email marketing optimization and automation.

We got in touch with the email development experts on our team and they were kind enough to share their repertoire of productivity-enhancing AI-powered tools. Feel free to take notes, amazing people!

Here are some breathtaking insights into the results afforded by deploying these tools. Take a look!

How AI can help you build, segment, and update your email list

With the help of AI tools and platforms, marketers can build, segment, and update their email list in various ways. Here are some examples:

How AI can help you design, write, and test email campaigns and subject lines:

AI can help marketers design, write, and test email campaigns and subject lines in numerous ways. Let's check out some of them:

How to use AI tools and platforms for email marketing automation and optimization

Using AI tools and platforms for email marketing automation and optimization can greatly enhance your campaign's effectiveness and efficiency. Here's a step-by-step guide on how to leverage AI for these purposes:

By following these steps and leveraging AI tools and platforms, you can automate and optimize your email marketing efforts, leading to more effective campaigns, higher engagement, and better overall ROIs.

Email templates, campaign management, and automation taking too much of your time?

Chapter 5

AI in PPC Advertising:
How to Bid and Win with AI

Ways AI can help with PPC Advertising- In a nutshell
Research, plan, and execute PPC campaignsOptimize your bids, budgets, keywords, creatives, and landing pages
Streamline your PPC advertising efforts

We got in touch with PPC experts on our team @Mavlers regarding what kind of AI interventions were they deploying in their campaigns to achieve better daily functions and ROIs. This is what they had to say and share in a nutshell.

Problem StatementsValidation ResultsBetter/FasterKey Metrics
Ad copies, content writingCopy.ai has proven to be a good choice, Zeno Chat is still a little far out there!A better and faster option than going through the traditional writer route.Time saving, good quality ad copies
Keywords ResearchRyan Robinson’s Keyword Tool has been great forA good and efficient optionGood quality results, multiple options, time saving

For creating ad copy, they utilize tools such as Copy.ai, ZenoCHAT, Chat GPT, and Harpa.ai. They mix and match copies generated through multiple AI tools. They also noticed that the ad copies generated using such tools got a good score on the copy quality as well as took less time than when they followed the conventional route of going through a writer.

  1. One just needs to mention the keywords, character limit, etc., in the prompt to get better results in terms of getting good ad copies, headlines, and descriptions.
  2. For keyword research, they aren’t currently using any AI tool. They are using Google Keyword Planner as of now. They have tried using Ryan Robinson’s Keyword tool, which yielded quality results efficiently with multiple keyword suggestions. One can then paste these keywords in Google Ad Planners and find out their CPCs, etc.
  3. For landing page design, Relume has already been discussed in the first chapter.
  4. For Ad Creatives, there are multiple AI tools that help create images and videos that can reduce the TAT as compared to going through a designer in a conventional way. However, they have yet to explore these tools for designing images and videos.
  5. Another cool AI tool that our PPC ninjas have explored and validated is Gimmefy.ai. It comes equipped with multiple copywriting abilities that marketers can exploit to the fullest. Once you exhaust the first fifty credits, you will have to invest in a paid version of the tool. But the question is, is it worth your dollars?! Hell yeah! So, our team noticed a fifty percent increase in efficiency when they used the said AI tool for coming up with a PPC ad campaign, email content, and landing page deliverables. Tasks that earlier demanded a day’s time of writing and research can now be accomplished within a neat 6-7 hours window. Super cool, we say! Interestingly, it also offers to curate copy in different formats such as AIDA, BABA, and PAS models. Take your pick, people! In case you aren’t satisfied with the first draft, you can always ask for a fresh response, though that will take up some credits.
  6. One of our PPC team members curated a cool prompt for ChatGPT in order to hyper-personalize the process of outreach for link building. This amped up productivity and reduced the time invested to a neat ten-minute task instead of an hour or two of dedicated research and efforts by an outreach executive. The prompt goes something like this,

    “I'm writing a content collaboration email to [website name].
    [INSERT HERE THE MAIN USP OF THE WEBSITE / BRAND / COMPANY]

    Get demo companies to show their product engagingly and delightfully. They have recently written articles on the following topics.

    [ INSERT HERE AT LEAST 10 LATEST BLOG POST TITLES FOUND ON THE COMPANY'S WEBSITE]

    So, with this list of topics in mind, can you develop some original and compelling titles that can interest the Podium team to consider us for writing on their blog? The title you create should be relevant to email marketing and the related posts given. Hence, the title should contain the word "email". I need at least 10 title suggestions from you. Use colloquial expressions for titles. The title should be technical or hack-based content. Make the titles cohesive; strictly don't use colons in titles. Titles must be less than 60 characters. Do not use action words or superlatives. Write them in a neutral tone.”

    This is the output that we were served,

    1. "Email Marketing Lift-Off: Hacking Conversions with Top Landing Page Builders"
    2. "Popup Precision: Craft Email Campaigns with 7 Must-Have Examples"
    3. "Unveiling Marketing Metrics: Your Go-To Guide for Email Success"
    4. "Boosting Email ROI: The Insider’s Guide to Superior Landing Pages"
    5. "Crack the Code: Personalized Popups for Email Engagement Mastery"
    6. "Email Evolution: Transforming Metrics into Marketing Gold"
    7. "Landing Page Alchemy: 5 Builders for Email Conversion Alacrity"
    8. "Popup Wizardry: Unearth the Secrets Behind 7 Conversion Kings"
    9. "The Email Equation: Masterful Metrics for Marketing Triumph"
    10. "Conversion Chronicles: How Top Landing Page Builders Redefine Email Success."

    Another problem statement that our PPC ninjas were able to address deploying AI seamlessly was bridging the gap between the marketing and design teams. This was achieved using Dall-E. To quote the ninjas themselves, “One of the trickiest parts of promoting stuff on social media is ensuring the design team gets what we want without spending ages explaining it. You know how it goes—marketing talks one language, design talks another. It's even worse when we're all swamped and need things ASAP.

    So, to dodge that whole mess, we started using Dall-E. We cook up images that match what we need, toss them to the design team, and let them sprinkle their magic. It's like a shortcut that saves us from hours of back-and-forth, ensuring we have the perfect picture.”

Optimizing bids, budgets, keywords, creatives, landing pages can be too much to handle for too many clients.

How AI can help you research, plan, and execute PPC campaigns across search, display, video, and social networks.

AI can play a significant role in researching, planning, and executing PPC (Pay-Per-Click) campaigns across various platforms, such as search engines, display networks, video platforms, and social networks. Here's how AI can assist you at each stage of the process:

01. Research

Keyword Research:

AI can analyze massive amounts of data to churn out relevant keywords and search terms with high search volume and low competition. This helps you target the right keywords for your campaigns.

Competitor Analysis:

AI tools can analyze your competitors' ad strategies, keywords, and performance metrics to help you understand the competitive landscape.

Audience Insights:

AI can provide insights into audience demographics, interests, and online behaviors, helping you refine your targeting strategies.

02. Planning:

Budget Allocation:

AI algorithms can suggest optimal budget allocations for different platforms and campaigns based on historical data and performance predictions.

Bid Management:

AI-powered bid management tools can adjust bids in real-time to optimize ad placements and maximize ROI.

Ad Copy and Creative Generation:

AI can generate ad copy variations and creative assets that are more likely to ring home with your target audience.

03. Execution:

Ad Campaign Setup:

AI can automate the process of creating ad campaigns, including setting up ad groups, ad placements, and targeting options across multiple platforms.

Ad Personalization:

AI tools can dynamically customize ad content based on user context, increasing the relevance of your ads.

Real-time Optimization:

AI can monitor campaign performance in real-time and make automatic adjustments to bidding, targeting, and ad placement to achieve the best results.

04. Performance Analysis:

Data Analysis:

AI can analyze and process large volumes of data quickly to provide insights into campaign performance metrics such as clicks, conversions, and cost-per-click.

Pattern Recognition:

AI algorithms can identify patterns and trends in campaign data, helping you understand what's working and what needs improvement.

Predictive Analytics:

AI can predict future performance based on historical data, helping you make informed decisions about campaign adjustments.

05. Ad Testing and Optimization:

A/B Testing:

AI can automate the A/B testing process by testing different ad variations and providing recommendations for the most effective combinations.

Multivariate Testing:

AI can test multiple variables simultaneously, optimizing various aspects of your ads and landing pages.

06. Audience Targeting:

Lookalike Audiences:

AI can analyze your existing customer data to identify patterns and create lookalike audiences that share characteristics similar to your best customers.

Behavioral Targeting:

AI tools can analyze user behavior to target individuals who are more likely to engage with your ads based on their online activities.

07. Ad Format Optimization:

Dynamic Ad Creation:

AI can dynamically generate ad content based on user intent, device, location, and other factors.

Format Adaptation:

AI can optimize ad formats for different platforms, ensuring your ads look and perform well across search, display, video, and social networks.

08. Cross-Channel Campaign Coordination:

Unified Insights:

AI platforms can provide a holistic view of your campaigns across different channels, making it easier to coordinate strategies and budgets.

Automated Cross-Channel Adjustments:

AI can automatically allocate budgets and optimize bids across channels based on real-time performance data.

By harnessing AI's capabilities for researching, planning, and executing PPC campaigns, you can streamline your efforts, improve targeting precision, enhance ad performance, and achieve better overall campaign results across diverse online platforms.

How AI can help you optimize your bids, budgets, keywords, creatives, and landing pages

AI can help you optimize your bids, budgets, keywords, creatives, and landing pages in various ways. Here are some examples:

These are some of the ways that AI can help you optimize your bids, budgets, keywords, creatives, and landing pages.

How to use AI tools and platforms for PPC advertising management and analytics

AI tools and platforms can help you with various aspects of PPC advertising management and analytics, such as creating, launching, and optimizing PPC campaigns, tracking and measuring PPC performance, and improving PPC ROI. Here are some steps you can follow to use AI tools and platforms for PPC advertising management and analytics:

Step 01

Choose the right AI tool or platform for your PPC advertising goals and needs. There are many AI tools and platforms available in the market, each with different features and functionalities. You should consider factors such as your budget, your target audience, your preferred channels, your content type, and your desired outcomes. For example, if you want to create and optimize PPC campaigns across Google Ads, Facebook Ads, Instagram Ads, YouTube Ads, and Microsoft Ads, you can use WordStream, a platform that uses AI to help you create and optimize your PPC campaigns.

Step 02

Connect your PPC advertising account to your AI tool or platform. You should be able to link your PPC advertising account to your AI tool or platform easily and securely. This will allow you to access and manage your PPC campaigns from one place. For example, if you use WordStream, you can connect your Google Ads, Facebook Ads, Instagram Ads, YouTube Ads, and Microsoft Ads accounts to WordStream.

Step 03

Create and launch your PPC campaigns using AI. You can use AI to generate content ideas, headlines, summaries, paragraphs, images, videos, and more for your PPC campaigns. You can also use AI to optimize your bids, budgets, keywords, creatives, and landing pages based on real-time data and feedback. For example, if you use Persado, an AI platform that helps you generate creative and persuasive messages for your PPC campaigns, you can create captivating ads in minutes.

Step 04

Track and analyze your PPC campaigns using AI. You can use AI to collect and analyze data from various sources, such as web analytics, conversion tracking, customer feedback, and more. You can also use AI to provide insight into how your PPC campaigns are affecting your business goals, such as sales, leads, or brand awareness. For example, if you use Predis.ai, an AI tool that helps you analyze your competitors' social media strategies and optimize your own, you can get a comprehensive report on your PPC campaign performance, including metrics such as impressions, clicks, conversions, cost per click (CPC), cost per acquisition (CPA), return on ad spend (ROAS), etc.

These are some of the steps you can follow to use AI tools and platforms for PPC advertising management and analytics.

Chapter 6

AI in Video Marketing:
How to Produce and Promote with AI

Ways AI can help with Video Marketing- In a nutshell
Create, edit, and enhance video contentDistribute, optimize, and monetize video content
Streamline your video marketing efforts

It's a proven fact that consumers like engaging with video content, and according to the findings of a recent study, 91% of consumers would love to see more AV content from brands, while 86% of businesses already use video content in their marketing campaigns.

In this chapter, we will delve deep into the ways you can leverage AI in creating, optimizing, distributing, and monetizing video content across platforms.

How AI can help you create, edit, and enhance video content for your audience and SEO

AI has revolutionized the way video content is created, edited, and enhanced, offering a range of tools and techniques that can benefit both your audience and your SEO efforts. Here's how AI can help you in these areas:

01. Video Creation

AI-powered tools can assist in various stages of video creation, from conceptualization to production:

Content Ideas:

AI can analyze trending topics and user preferences to suggest content ideas that are likely to resonate with your audience.

Scriptwriting:

AI can generate scripts based on your input, optimizing for readability and relevance. This can save time and ensure your video's messaging is on point.

Voiceovers:

AI-generated voiceovers sound increasingly natural, allowing you to choose different tones and languages for your videos.

Automated Video Generation:

AI can assemble video clips, images, and text into coherent videos, which is particularly useful for creating videos from templates or for generating quick updates.

02. Video Editing:

AI can significantly speed up and improve the video editing process:

Automated Editing:

AI can analyze footage and automatically edit together the most relevant scenes, saving time and effort.

Visual Effects:

AI can enhance visual elements, like stabilizing shaky footage, removing background noise, and improving lighting.

Transitions and Montages:

AI can suggest creative transition styles and montage sequences to make your videos more engaging.

03. Video Enhancement:

AI tools can enhance the quality and appeal of your videos. For example, Kapwing is an AI-powered online video editor that helps you edit and enhance your videos with ease:

Upscaling:

AI can upscale lower-resolution videos, improving their quality and making them suitable for larger screens.

Color Correction:

AI can analyze and adjust colors for better visual consistency and appeal.

Background Replacement:

AI can replace video backgrounds with custom images or videos, allowing for more professional-looking settings.

Object Removal:

AI can identify and remove unwanted objects or distractions from videos.

04. Audience Engagement and SEO:

AI can play a crucial role in optimizing your video content for both SEO and user engagement. For instance, Tubebuddy is an AI-powered tool that helps you optimize your YouTube videos for SEO and growth.

Personalization:

AI can analyze user preferences and viewing history to recommend relevant videos, increasing engagement and watch time.

Transcription and Subtitles:

AI can automatically generate accurate transcriptions and subtitles, improving accessibility and SEO by making your video content searchable.

Keyword Analysis:

AI tools can help identify high-performing keywords related to your video content, enabling you to optimize titles, descriptions, and tags for SEO.

Metadata Generation:

AI can assist in generating relevant metadata, making your videos more discoverable on platforms like YouTube.

Remember that while AI can offer numerous benefits, a human touch is still important to ensure the final product aligns with your brand, messaging, and goals. It's also essential to keep up with the latest developments in AI tools and techniques to take full advantage of their capabilities.

How AI can help you distribute, optimize, and monetize video content across platforms.

There are multiple ways by which one can leverage AI to distribute, optimize, and monetize video content across platforms. Let's check out some instances:

These are some of the ways that AI can help you distribute, optimize, and monetize video content across platforms.

Chapter 7

AI in Web Analytics:
How to Track Metrics and Improve Them with AI

Ways AI can help with Web Analytics- In a nutshell
Collect, analyze, and visualize web dataUncover insights, trends, patterns, and opportunities from your web data
Streamline your web analytics and reporting efforts

There is a reason behind those awesome Netflix movie recommendations and Google Docs' almost uncanny ability to “complete” your sentences. You just need to press Tab, and you are good to go. You guessed it right! With the power of AI, many brands, such as the above-mentioned ones, have examined tonnes of data to know what you’d like and what you are more likely to say or write next.

We joined flanks with web development ninjas on our team and asked them to share their knowledge and experience using AI tools in their daily projects. This is what they had to share;

When asked about the increase in efficiency, this is what they had to say, “We witnessed a marked improvement of 15-20% in our efficiency with a documented decrease in man hours that amounts to a cool 40-75 hours saved! Yes, imagine the amount of extra work that they can get done in the hours saved without affecting output quality! We deployed CodeWP, AndiSearch, and Divi AI in achieving such phenomenal results.”

In this section, we will discuss the ways in which marketers can deploy the services of AI in analyzing web data from multiple sources unveiling new insights, trends, and patterns from the data collected.

Looking for web development support to ensure you deliver a flawless client experience? Our team of experts has your back.

How AI can help you collect, analyze, and visualize web data from your website and other sources,

AI can help you collect, analyze, and visualize web data from your website and other sources in various ways. Here are some examples:

These are some of the ways that AI can help you collect, analyze, and visualize web data from your website and other sources.

How AI can help you uncover insights, trends, patterns, and opportunities from your web data:

AI can play a significant role in uncovering insights, trends, patterns, and opportunities from web data by leveraging its capabilities in data processing, analysis, and prediction. Here's how AI can assist in this process:

In essence, AI can sift through vast amounts of web data quickly and accurately, revealing epiphanies that would be slightly challenging for humans to identify on their own. It helps businesses make data-driven decisions, stay competitive, and capitalize on emerging opportunities.

How to use AI tools and platforms for
web analytics and reporting

AI tools and platforms for web analytics and reporting are software applications that use artificial intelligence to collect, analyze, and visualize data from websites. They can help you understand how your website is performing, who your visitors are, what they are doing on your site, and how you can improve your website's user experience and conversion rate.

There are many AI tools and platforms for web analytics and reporting available in the market, each with its own features and benefits. Some of the best ones are:

To deploy these AI tools and platforms for web analytics and reporting, you need to follow these general steps:

Conclusion

On that note, we have successfully reached the last leg of this behemoth journey. We adopted a collaborative, inter-departmental approach to compile this resource and sincerely hope that it will mark the beginning of an era of human-AI amalgamation where the existence of one doesn’t undermine the importance of the other in the years to come. Got bouquets & brickbats to share? Please feel free to get in touch with the team at contact@mavlers.com.