AI Tools for Marketing

If you have anything to do with Marketing, you are probably already using AI. Even if you don’t notice it.

In fact, 64% of marketing professionals use AI tools in their jobs, with varying degrees of integration. From personalised content creation to dynamic ad generation, AI tools are transforming how marketers connect with their audiences, from customer insights, to dynamic ad creation.

Why is it important and what can it achieve?

Just as for Sales, AI is becoming better and better at taking over some of the tasks that traditionally either:

A) Take a long time to complete

B) Are annoying and repetitive

C) Allow too much room for human error

D) ?

By now you should get the idea. But either way.

Leveraging Customer Insights

AI enables marketers to delve into customer data and offers valuable insights that were previously hard to obtain.

By congregating data from various sources such as website interactions, social media behaviour, purchase history, and more - AI helps create a comprehensive profile of each customer.

Think about it, the more information you have about each customer, the more personal the approach you can provide them with.

Dynamic Content Creation & Personalisation

AI enhances content marketing and personalisation by:

• Content Generation: Producing high-quality content such as blogs, social media posts, and email newsletters.

• Content Optimization & Repurposing: Using AI to determine the best keywords, publishing times, even formats. It might be that you want to use videos, instead of text.

• Fact Checking: Ensuring your content is accurate and up to date. By the way, we can also help out with that.

• Performance Tracking: Continuously analysing content performance to provide insights and recommendations for improvement.

• Behavioural Analytics: Understanding customer behavior to tailor experiences and offers.

• Recommendation Engines: Suggesting products or services that match customer preferences.

Automating Routine Tasks

You predicted it!

• Social Media Management: Scheduling posts, analyzing engagement, and optimizing content.

• CRM Management: Updating customer records, tracking interactions, and setting reminders.

• Email Marketing: Automating the creation, sending, and analysis of email campaigns.

Steps you need to take to implement AI in your marketing strategy

Before we give you the list, our top tip is… To just start.

Implementing AI for marketing is the easiest, as you can simply start playing around with a few tools and double down on what works for your operations.

After you’ve figured out your objectives by playing around with these tools, these are the steps to follow:

1. Make sure you know your objectives - What do you want to achieve with AI?

2. Evaluate data needs - Assess the quantity & quality of data available to you (if applicable).

3. Choose the right tools - Select AI tools that align with your goals and integrate into your existing systems.

4. Pilot and measure - Start with a small pilot project to test effectiveness and measure results.

5. Scale and optimise - Based on initial results, Double down on what works and scale your AI initiatives.

Bringing it to the point

AI is transforming marketing by providing tools that enable deeper insights, enhanced personalisation, and greater efficiency.

By integrating AI into your marketing strategy, you can stay ahead of the competition, better understand your customers, and deliver more impactful campaigns.

If you struggle to see where you can start off with optimising your marketing through AI, join our waitlist today and become part of the next cohort of applicants!

This Week in AI

• Google is rolling out a new AI Note Taker for gmeet meetings.

• OpenAI’s new mysterious Chatbot passed the “strawberry” test. This would be a huge deal as strawberry is supposed to be the model reaching level 2 - a.k.a the model can “reason”.

• Apple is looking to charge between $10-$20/month for premium AI features.