It’s one thing to ramp up content production, but is the added productivity pumping out waste? This week, digital content experience company Siteimprove acquired MarketMuse, a content strategy and intelligence company.
The aim of the acquisition is to connect content creation with content strategy capabilities, including research, planning and execution. This, in turn, cuts down on content waste.
Organizations using genAI to spark ideas and assist with copy and design can get content out quicker, sure. But the content has to be optimized for traditional search engines, as well as AI-driven search. The acquisition aims to cover these needs.
Sixty-one percent of marketers said one-quarter to three-quarters of their content goes to waste, according to a study last year from Forrester Research.
And now, here’s this week’s AI-powered releases.
- Adobe announced new Adobe Express features using AI to streamline production and ensure brand consistency. The “Animate All” feature allows users to add motion to static images and text in one click. The AI emphasizes key information like calls to action and headlines. “Draw Shape” adds hand-drawn elements for a more organic look and feel in assets.
- Raptive launched Raptive Intelligence, a suite of groundbreaking data and targeting solutions for advertisers. Among its standout features is Mindset Targeting, an AI-powered tool that predicts emotional responses to deliver more relevant and attention-grabbing in-context ad targeting.
- Wayvee Analytics uses radio frequency waves and proprietary AI algorithms to anonymously analyzes emotional responses based on physiological signals in real time, evaluating Customer Satisfaction Score (C-SAT) and key performance metrics for retailers.
- CallMiner, the leading provider of conversation intelligence to improve customer experience (CX), today announced CallMiner AI Assist, a collection of new and enhanced generative artificial intelligence capabilities that help organizations take action within the CallMiner platform and automate analytical tasks across the entire customer spectrum.
- DocketAI announced product updates to optimize how B2B sales teams operate. DocketAI Docs and DocketAI Collections enhance the platform’s existing capabilities, solving everyday challenges like delays in receiving necessary content due to product marketing’s limited time and bandwidth. DocketAI Docs generates tailored, up-to-date, sales assets like product guides, one-pagers, landing pages, etc. DocketAI Collections essential content, competitive intelligence and training materials into easily accessible Collections for sales reps.
- FullThrottle.AI’s SafeMatch connects ad exposures to actions and outcomes using anonymous browser data. It assigns unique identifiers to anonymous browser sessions, analyze key session data, and connect this data to ensuing user actions without infringing on user privacy.
- Integral Ad Science (IAS) announced AI-powered Content Block Lists, giving digital advertisers proactive pre-screen capabilities at the content level. This gives advertisers more control over avoiding risky content than publisher-level block lists. The list refreshes every hour to make sure it keeps up with new content. It will be available to all advertisers by early 2025.
The post AI-powered martech news and releases: September 19 appeared first on MarTech.
# Latest AI-Powered Martech Updates and Product Releases: September 19
The world of marketing technology (MarTech) continues to evolve at a rapid pace, with artificial intelligence (AI) playing a pivotal role in transforming how businesses engage with their customers. As of September 19, 2023, several key updates and product releases have emerged in the AI-powered MarTech space, promising to enhance marketing efficiency, personalization, and data-driven decision-making. In this article, we’ll explore the latest developments and their potential impact on the marketing landscape.
## 1. **Salesforce Unveils New AI-Powered Marketing Cloud Features**
Salesforce, a leader in customer relationship management (CRM) software, has introduced new AI-driven features to its Marketing Cloud platform. These updates are designed to help marketers deliver more personalized customer experiences at scale. Key features include:
– **AI-Powered Segmentation**: Salesforce’s new AI-driven segmentation tool uses machine learning to analyze customer data and automatically create highly targeted audience segments. This allows marketers to deliver more relevant content and offers to specific customer groups, improving engagement and conversion rates.
– **Predictive Analytics for Campaign Optimization**: The platform now includes predictive analytics capabilities that help marketers forecast the performance of their campaigns. By analyzing historical data and current trends, the AI can suggest optimizations in real-time, such as adjusting ad spend or modifying messaging to maximize ROI.
– **Generative AI for Content Creation**: Salesforce has integrated generative AI into its content creation tools, enabling marketers to quickly generate high-quality copy, images, and even video content. This feature is expected to reduce the time and effort required to produce marketing materials, while also ensuring that content is aligned with brand guidelines and customer preferences.
## 2. **HubSpot Introduces AI-Powered Customer Journey Analytics**
HubSpot, a popular inbound marketing and sales platform, has launched a new AI-powered customer journey analytics tool. This feature provides marketers with a comprehensive view of how customers interact with their brand across multiple touchpoints, from initial awareness to post-purchase engagement.
– **Journey Mapping with AI Insights**: The tool uses AI to map out the customer journey, identifying key moments where customers are most likely to engage or drop off. This allows marketers to pinpoint areas for improvement and optimize their strategies to reduce churn and increase conversions.
– **Predictive Customer Behavior**: HubSpot’s AI can now predict future customer behavior based on past interactions. For example, it can identify which customers are most likely to make a purchase or which ones may need additional nurturing. This helps marketers prioritize their efforts and allocate resources more effectively.
– **Automated Journey Orchestration**: The platform also includes automated journey orchestration, allowing marketers to set up personalized, multi-channel campaigns that adapt in real-time based on customer behavior. This ensures that customers receive the right message at the right time, improving overall engagement and satisfaction.
## 3. **Adobe Launches AI-Enhanced Creative Cloud for Marketers**
Adobe, known for its industry-leading creative software, has rolled out new AI-powered features in its Creative Cloud suite specifically aimed at marketers. These updates are designed to streamline the creative process and enable marketers to produce high-quality content more efficiently.
– **Generative AI for Design**: Adobe’s new generative AI tools can automatically create design elements such as logos, banners, and social media graphics based on a marketer’s input. This allows marketers to quickly generate on-brand visuals without needing extensive design skills.
– **AI-Powered Video Editing**: Adobe has also introduced AI-driven video editing capabilities that can automatically edit footage, add transitions, and even suggest music tracks based on the tone and style of the video. This feature is particularly useful for marketers looking to create engaging video content without the need for a professional video editor.
– **Content Personalization at Scale**: Adobe’s AI tools can now automatically generate personalized content variations for different audience segments. For example, the AI can create multiple versions of an email newsletter, each tailored to a specific customer group based on their preferences and behavior.
## 4. **Google Ads Introduces AI-Powered Campaign Management Tools**
Google Ads has introduced several new AI-powered tools aimed at helping marketers optimize their ad campaigns more effectively. These tools leverage machine learning to automate key aspects of campaign management, allowing marketers to focus on strategy and creativity.
– **Smart Bidding Enhancements**: Google’s Smart Bidding feature, which uses AI to optimize bids in real-time, has been enhanced with new capabilities. The AI can now take into account additional factors such as seasonality, competitor activity, and changes in customer behavior to adjust bids more accurately.
– **AI-Driven Ad Copy Suggestions**: Google Ads now offers AI-generated ad copy suggestions based on the performance of existing ads. The AI analyzes which headlines, descriptions, and calls-to-action are resonating with audiences and suggests improvements to boost click-through rates and conversions.
– **Automated Campaign
Recent Comments