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Trends: Conversational AI Chatbots, Google Analytics 4, and More
For the Week of June 26th, 2023
Welcome to the Monday edition of Leveling Up!
Here are the top 3 trends you need to know this week:
Conversational AI chatbots are on the rise. One of the latest developments in AI chatbots is the use of natural language processing (NLP) to allow chatbots to respond to questions.
New Google Analytics 4 updates. GA4 has recently updated its attribution models and conversion settings, giving marketers more flexibility and control over how they measure campaign performance.
Retail media is evolving. Retail media is a rapidly growing marketing channel, with spending expected to reach $160 billion by 2027. This channel is growing rapidly, and marketers need to start thinking about how they can participate.
So buckle up, because it's time to get informed.
41.37% Cheaper Leads From Google Ads?
![](https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/18601e46-3487-4265-acea-b51c44a3fea3/image.png)
This client decreased their cost per lead by 41.37% on paid ads.
Single Grain, the agency responsible for the campaign, is now accepting applications for new Google Ads clients (for a limited time only).
🔥 Trend 1
Conversational AI Chatbots
Marketers are increasingly using AI chatbots to answer customer questions, provide support, and even close sales.
One of the latest developments in AI chatbots is the use of natural language processing (NLP) to allow chatbots to understand and respond to natural language questions.
This means that chatbots can now have more natural and engaging conversations with customers.
As AI chatbots continue to develop, we can expect to see even more innovative ways to use them in marketing.
For example, chatbots could be used to personalize the customer experience, upsell and cross-sell products, or even generate leads.
Dive Deeper: Why Chatbots Are a Must-Have for Businesses
🔥 Trend 2
Google Analytics 4 Updates
![](https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/fada9c9e-4e91-44a0-8e87-cf16dbcf8bbd/mnvcd6hkiLmdsH3ekCjypYFfvMctr5ikacJe.png)
Google Analytics 4 (GA4) has recently updated its attribution models and conversion settings, giving marketers more flexibility and control over how they measure campaign performance.
Attribution Models
GA4 has removed its default attribution models, which were based on last-click, first-click, and linear attribution.
Instead, marketers can now choose between Google Ads conversion credit eligibility, which uses Google's machine learning to determine attribution, or they can create their own custom attribution models.
Conversion Settings
GA4 has also updated its conversion settings, making it easier to track conversions across different channels.
Marketers can now create conversion events for any type of action, such as a purchase, a lead, or a page view. They can also set up conversion goals, which allow them to track the progress of their marketing campaigns.
These updates to GA4 offer marketers more flexibility and control over how they measure campaign performance.
Dive Deeper: Meet the Next Generation of Google Analytics
🔥 Trend 3
The Evolution of Retail Media
Retail media is a rapidly growing marketing channel, with spending expected to reach $160 billion by 2027.
This growth is being driven by the increasing popularity of online shopping and the growing amount of data that retailers have about their customers.
Latest Developments
Some of the latest developments in retail media include:
The expansion of retail media networks: Retailers are increasingly creating their own retail media networks, which give advertisers the opportunity to reach a large audience of potential customers.
The growth of programmatic retail media: Programmatic retail media is a way for advertisers to buy and sell retail media inventory programmatically, which allows them to target their ads more effectively.
The use of data-driven targeting: Retailers are using data to target their ads more effectively, such as by targeting ads to customers who have previously viewed or purchased a product.
Dive Deeper: The Next Generation of Retail Media Is Here
What did you think of today's newsletter? |
Until next week,
The Leveling Up Team
P.S.
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