Q: How did you get started in marketing?

A: I actually went to school for musical theater and had a dream of being an actress on Broadway. So for my first few years out of college, I was in New York City trying to make it as an actress on Broadway. I was temping and the best kind of side jobs were in financial services. 

I wound up in a private equity firm because they would give me health insurance and one thing led to another and they offered me a full-time job as a marketing associate. I did that for a year or two and then decided to go get my MBA at the University of Texas. 

Q: In marketing?

A: I did not focus on marketing. I didn’t love marketing. The classes and the coursework didn’t light me up. I concentrated on entrepreneurship. I thought I’d do the VC entrepreneur thing, but there was an opportunity to go to GE which had this experience commercial leadership program. I thought of it as a vocational MBA because it was two years of training. You do three, eight-month-long rotations in different GE business units. It was a great gig. 

Dig deeper: MarTech Salary and Career Survey shows a profession coming into its own

Well at GE, pretty early on, I got the digital bug. My sponsors and mentors kind of thought it was a fad and like something for the interns and very marcom-y and not very strategic. But I was like, “Well, we’re supposed to be like the future marketing and sales leaders of the company. And all of the data shows that users, whether they’re B2B buyers or B2C buyers, they’re increasingly spending time online. So, are we going to be relevant and understand that?”

Q: You called it. That must have positioned you very nicely.

A: Yeah, I started becoming known for being a digital expert inside GE. When it was time to graduate from the program, GE was actually one of the first brands to spend more on digital ads than traditional ads. And Jeff Immelt, the CEO, had mandated that every business unit have a mid-to-senior-level digital leader. I kind of got to choose which unit to work with and I went and led digital for GE Transportation, which was a $5 billion business, but GE’s smallest division. 

Q: Sounds great, what made you leave?

A: What I was doing in transportation was great and really well received across the company, but I couldn’t get bigger budgets. There was no CMO in that business and I was one of three marketers for the entire division. There were bigger business divisions that wanted me to come and do digital for them, but at GE at the time, the transportation business would have had to be willing to sell me to the energy business and they weren’t willing to do that. 

Q: Where did you go from there?

I had a friend at a consumer packaged goods company called Central Garden and Pet, and they wanted a digital leader and it was in Atlanta. I was in Atlanta at the time and didn’t want to leave. And I got really excited about the idea of it being a CPG and marketing was really in the driver’s seat. They had a lot of classically trained CPG marketing leadership and they had this big vision for digital. I was going to come in and manage a digital agency, have big budgets, build a team, so I was excited. 

My second week there they laid off the entire senior leadership team. I went from I was going to have a multimillion-dollar digital ad budget to getting $100,000, and you get to fire the agency because of how much they cost you. So we did content marketing, we did social. I replaced our agency with software companies. We also re-platformed all of our websites to Sitecore, like 50-60 sites, and did a lot of training and stuff like that. 

Q: How did you go from Atlanta to Oregon?

A: I wanted to move back to Portland where I was born and raised and got offered a job at Oregon Tool, at the time it was called Blunt International. Up until that point, I’d really only done digital marketing, I really hadn’t done much with ecommerce. And the opportunity at Oregon Tool was 50/50 digital marketing and ecommerce. That was really intriguing. 

Q: But there were problems?

I get there and they’re like, “We’ve spent all this money and hired all these people.” And I’m thinking, “Oh my God, they bought the absolute wrong technology. And I think I can get this team to work together and there’s some diamonds in the rough here, but this isn’t the right skill set for what they say they’re trying to do.”  So I spent my first two years cleaning up and course-correcting. 

I think most senior leadership teams, especially those of a certain age, don’t want to admit that they don’t understand this stuff. They feel like, “Oh, by now I should sort of get that the Internet matters.” The truth is they don’t really know what kind of capabilities and resources they need, but they don’t want to admit it. 

I was there for about four-and-a-half years and built a global ecommerce business and grew revenue from $2.5 million to $30 million. We also developed a direct consumer fulfillment capability and were really starting to do some cool things, like re-platforming the websites. But it was bought by private equity owners. They took on a lot of debt and I was part of a mass layoff. I think unfortunately it’s probably only a matter of time till it’s a shell of its former self. 

Q: What do you like about marketing?

A: I love how multidisciplinary it is. I love how the art meets the science and how it’s all just an ecosystem. It’s the perfect blend between structure and creativity, between technology and art, between data and feeling. And I love how cross-functional it is, especially digital marketing. 

Q: I have to ask, is there a Broadway musical hiding in digital marketing?

A: Funny you should ask that. I have started this side project that I’m calling corporate karaoke. I’m taking musical theater and pop songs and I’m reperforming them with corporate context. My latest is Joni Mitchell’s “A Case of You,” but it’s about SAP and how SAP is the invasive vine in your tech stack that you just can’t quit.

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(You can check out Kathleen’s other funny songs on her YouTube channel, @Corporate-Karaoke.)

The post Salary and Career: Kathleen Voboril can make martech sing appeared first on MarTech.

Dig deeper: ChatGPT under threat from European regulators

This is the largest GDPR fine ever handed down, surpassing the previous record of $887 million against Amazon in 2021. The ruling gives Meta five months to put in place measures to halt future transfers of personal data to the United States and six months to stop “the unlawful processing, including storage, in the US of personal data of EU/EEA users transferred in violation of the GDPR.”

Why we care. If the ruling is put in place Facebook would have to delete a huge amount of data and restructure its IT systems at a very fundamental level. It also would have enormous implications for any company transferring data between the two areas.

The best hope for staying the ruling is a new data transfer treaty between the U.S. and E.U.

Until 2020, these transfers were protected by the Privacy Shield treaty between the two governments. That year the E.U.’s highest court invalidated the treaty by ruling it did not sufficiently protect E.U. citizens’ data from American spy agencies. 

Negotiations have been underway since the high court’s ruling. Last year, President Biden and Ursula von der Leyen, the president of the European Union, announced the outlines of a deal, but the details are still being hammered out. No doubt Monday’s decision will increase the pressure on the U.S. to get it done. However, the complexity of the issues makes it difficult to move quickly.

Are you getting the most from your stack? Take the 2023 MarTech Replacement Survey

By the numbers. May 25 will be the fifth anniversary of GDPR, and Privacy Affairs has been tracking the fines – all 1,701 of them, for a grand total of over $4 billion:

• Meta accounts for over 50% of all GDPR fines – the company has amassed $2.5 billion in penalties.
• Meta has been fined seven times – including four just in 2022.
• By comparison, Amazon and Google have combined for more than $800 million in GDPR fines.

Only Facebook. The decision applies only to Facebook and not other Meta-owned platforms such as Instagram and WhatsApp.

The company said it plans to appeal.

“This decision is flawed, unjustified and sets a dangerous precedent for the countless other companies transferring data between the EU and U.S.,” Nick Clegg, Meta’s president of global affairs, and Jennifer Newstead, its chief legal officer, said in a statement.

The post EU fines Facebook $1.3 billion for privacy violations appeared first on MarTech.

Newest jobs in Martech:

Marketing Technologies Director @ Midan Marketing (U.S. remote)

• Salary: $105,000 – $133,000 (est.)
• Provides functional management and leadership to the MarTech team. Provides vital cross-functional contributions and serves as team leader.
• Work with Human Resources in the recruiting process of new team members. Provide new hire overview of creative functions.

Marketing Engagement Lead @ Humana (U.S. remote)

• Salary: $55,000 – $80,000 (est.)
• Engage with business stakeholders to gather, analyze requirements and map them to solutions that leverage Marketing Technology capabilities – primarily Salesforce Marketing Cloud.
• Maintain a good understanding of Marketing Technology landscape and take advantage of emerging capabilities.

Marketing Manager @ Fastpath (U.S. remote)

• Salary: $65,000 – $75,000 (est.)
• Driving accelerated growth through the design, creation and execution of high-quality lead generation programs, and customer advocacy through effective nurture programs, including content development, launch, measurement, and optimization.
• Collaborate with creative partners, SME’s and Product Management to write marketing content that advances the Fastpath brand and directly impacts pipeline/ROI goals.

Director of Marketing Operations @ R1 RCM, Inc. (U.S. remote)

• Salary: $115,000 – $130,000 (est.)
• Shepherd the adoption, management, and ongoing review of operational processes in pursuit of efficiency.
• Support the marketing team’s planning, budget management, project management, and platform/tools management.

Director roles:

Head of Go-To-Market @ KeyBank  (U.S. remote)

• Salary: $135,000 – $200,000 (est.)
• Lead baseline industry and competitive research to develop comprehensive view of target markets and marketing strategies. 
• Develop and manage a yearly marketing and external communications plan that supports and informs KeyBank’s Payments product and revenue goals.

VP of Marketing @ Zaelab (U.S. remote)

• Salary: $130,000 – $160,000 (est.)
• Define and implement a marketing strategy that results in increased brand awareness and increased demand.
• Identify and define Zaelab’s ICP and industry trends to ensure Zaelab is appropriately positioned and communicating to the marketplace. Maintain and improve messaging across all channels.

Senior roles:

Senior Data Product Manager @ Home Depot (U.S. remote)

• Salary: $190,000 (est.)
• Seeks to empathize with and understand the end user deeply and use that knowledge to determine the fastest path to deliver value.
• Translates business goals and end user needs into product strategy; communicates direction and product priorities to the development team, other matrixed teams, and third-party partners.

Sr. Manager of Digital Analytics @ 85SIXTY (U.S. remote)

• Salary: $105,000 – $120,000 (est.)
• Maintain accountability for the overall data quality, conduct audits and troubleshoot tracking gaps to maintain data confidence and implement data standardization.
• Establish and maintain best-practices for tag management including design strategy, technical documentation, approvals workflows, and quality assurance

Product Marketing Manager – Europe @ Radancy (U.S. remote)

• Salary: $104,000 – $132,000 (est.)
• Creating and delivering internal and external communications for product / enhancement releases to EU markets. This includes:
• Understanding each global release; and then modifying materials and delivering to each local EU market to ensure they are optimal/appropriate (in terms of message, language and product capabilities) 
• Ensuring messaging separates our solutions from competitors in EU markets

Demand Generation Manager @ Verato Inc. (U.S. remote)

• Salary: $85,000 – $108,000
• Help plan and drive execution of the digital lead gen strategy and end-to-end campaigns that clearly demonstrate and articulate value and achieve business objectives.
• Cross collaboration with marketing operations, content, product marketing, sales and other departments to deploy and optimize campaigns across the U.S.

Associate roles:

Growth Marketing Strategist @ New Worth (U.S. remote)

• Salary: $80,000 – $120,000 (est.)
• Be the main point of contact for 5-10 CMO’s/marketing heads at B2B tech companies.
• Collaborate with marketing strategy specialists in those fields to ensure the success of New North’s clients.

Marketing Technology Specialist @ SmartAcre  (U.S. remote)

• Salary: $80,000 – $95,000
• Successfully execute auditing, consulting, and implementation tasks for clients using marketing automation (HubSpot, Pardot, Marketo). 
• Help clients execute major marketing automation tasks and implement best practices.

Marketing Technology Associate @ SmartAcre  (U.S. remote)

• Salary: $75,000 – $85,000
• Play a role in auditing marketing technology and sales technology platforms. Report results to the Director of Marketing Technology.
• Contribute to client communication, responding to MarTech questions within the same day.

The post The latest jobs in martech appeared first on MarTech.

Dig deeper: Artificial Intelligence: A beginner’s guide

Here is a roundup of actual AI-powered martech products, platforms and features announced this week. 

• Wurl’s ContentDiscovery is a machine learning-powered advertising platform for streamers and content publishers. It finds high-value viewers by promoting content they will want to watch across streaming apps and on mobile devices.
• Messagepoint has added AI-powered content generation to its AI engine, MARCIE (Messagepoint Advanced Rationalization and Content Intelligence Engine). The new feature enhances the existing Assisted Authoring capabilities by providing content rewrite suggestions that align communications with desired reading levels, sentiment and length.
• Brandwatch has added ChatGPT features to Iris, its AI-powered platform for managing social media presence. These features include natural language summaries of themes and trends, a writing assistant and generating content insights into owned and competitor materials.
• Stensul has added AI-powered content creation features to its collaborative email and landing page creation platform. These features include a subject line, preheader text, and title generator; a writing style changer; and a CTA (call-to-action) text generator.

Dig deeper: Email creation platform Stensul expands its offering to landing pages

• Evocalize has added a generative AI content creator to EVOLVE, its suite of intelligent marketing capabilities. The new feature can generate headlines and ad copy and tailor the ad copy to different styles and tones of voice. 
• Seedtag has added a generative AI capability to Liz, the company’s contextual AI platform. The new feature lets users build tailored creative based on the context of the surrounding page-level content. 
• NetElixir’s audience intelligence platform LXRInsights now has an AI-powered content generator that can create ad copy and product descriptions.
• IZEA has added two ChatGPT-powered features to IZEA Flex, its influencer marketing platform. One is AI Briefs which prompts users for inputs and generates an influencer marketing campaign brief that can be converted into a Flex Campaign. The other, AI Brainstorm, generates creative campaign concepts.
• Yopto‘s new email marketing solution for ecommerce brands, Yotpo Email, includes AI-powered product recommendations tailored to each subscriber. 

The post AI in martech: this week’s new features, products and platforms appeared first on MarTech.

Advertisers and audiences missed the memo and continue to flock to podcast programming. Last year, podcasting ad revenues increased 26%  — more than twice the rate of the total internet ad market, according to a new IAB report. By 2025 they are expected to hit $4 billion, up from $1.8 billion last year.

And the audience?

“I don’t understand this, like how are people talking about podcasting is not growing?” says Hetal Patel, iHeartMedia’s executive vice president of SmartAudio Intelligence. “On daily reach, every single demographic — 18 to 24, 25 to 34, 35 to 44, 45 to 54, 55 plus — have seen double-digit growth.”

Last year 62% of Americans over 12 — an estimated 177 million people —  listened to a podcast. More than half of those people are now weekly podcast listeners. This year the news is even better: 183 million Americans have listened to a podcast, tuning into an average of nine podcast episodes per week, up from eight episodes in 2022, according to The Infinite Dial, Edison’s 2023 Report.

Dig deeper: Podcasts now a top channel for B2B marketing

While big audiences are great, what marketers really want is data that allows them to segment that audience and tailor content to each segment. This brings up something else “everyone knows” about podcasting: It’s not targetable or measurable. This idea is rooted in how podcasts are distributed. While some are heard on certain streaming platforms, they are mostly downloaded.

How targetable is it?

Patel understands how this idea came about.

“Podcasting, for the most part, is based in a download environment, outside of when it gets played on certain streaming services where they have server level data, right? So you have more visibility in those environments. 

“In the last two years alone, we’ve made so much progress to get so much more deterministic about who you are reaching,” she says. “At iHeart, obviously, we can target by genre, we can target by age, by demographic, by location and enrich that data with information from our own app” to tell us about the audience that’s downloading on Apple and other platforms.

In addition to that, two years ago, the company launched 20 psychographic networks as part of its programmatic ad offering. They enable brands to buy across a set of shows that speak to specific consumer behaviors like the conqueror, explorer, legend, cultivator, decider, thriver, rising star, advocate, backer and intrepid. 

Dig deeper: Casted adds firmographic data to its B2B video and podcast platform

“Sneakerhead is an example of one of those,” Patel says. “So if you’re trying to reach ethnic audiences sneakerheads tend to be more African American and Hispanic. I don’t think it’s so much that you couldn’t do that [level of segmentation] in podcasting before. I think it was more about we weren’t doing big enough campaigns to be able to measure that with the right thresholds.”

Brand safety

Another thing that can concern marketers about podcasts is brand safety. Unlike streaming, where shows are overseen by large companies, many of the most popular podcasts are independently produced. Can brands be sure of the content’s suitability?

Yes, says the IAB.

“Last year, the podcast industry made great advancements in brand safety and suitability targeting solutions via contextual transcript analysis including the opportunity to exclude individual podcast episodes,” they wrote. “As a result, advertiser awareness of these solutions are expected to grow and thus, advertisers will be more likely to tap into them.”

Patel says this technology also helps find content and content producers who are in synch with a brand’s values.

“It’s one thing to say these are 10 words I don’t want to be aligned with,” she says. “But it’s another thing to say and by the way, I want to be aligned around these things.” 

IHeartMedia is using an AI-powered program that analyzes transcriptions of every podcast for the tone and context of the content. 

“This gives you 35 attributes about this content,” she says. “You want to run next to content that’s uplifting? This is how you can do that. You want to run next to content that is XY&Z? You can do that.”

The post Advertisers and audiences refute the idea that podcasts are on the wane appeared first on MarTech.

Dig deeper: Facebook agrees to revamp adtech over discrimination charges

What it does. It lets advertisers: 

• Create different versions of the same ad copy for different target groups, while maintaining the main message. 
• Generate different assets for a campaign with the background generation feature.
• Crop images to adjust visuals for different formats, such as social posts, stories, or short videos like Reels.

AI Sandbox is available to select advertisers at the moment with expanded access in July.

Why we care. Meta is lagging in the AI publicity wars and knows it. The first sentence in the AI Sandbox announcement is, “Since the earliest days of News Feed in 2006, we have used machine learning and AI to power all of our apps and services, including our ads system.”

Last September, CEO Mark Zuckerberg gathered his top execs for an extended meeting on this. “We have a significant gap in our tooling, workflows and processes when it comes to developing for AI. We need to invest heavily here,” wrote new head of infrastructure Santosh Janardhan, an attendee. 

Zuckerberg seems determined to put his foray into the metaverse behind him and is spending billions to catch up with AI. If it makes life easier for marketers, we’re all in favor of it. 

The post Meta unveils generative AI tool for Facebook and Instagram advertisers appeared first on MarTech.

Dig deeper: MarTech’s marketing AI experts to follow

Here is a roundup of actual AI-powered martech products, platforms and features announced this week. 

• Factoreal has released four new AI-powered email marketing features: Smart Headings generates email headings, Smart Buttons creates call-to-action suggestings, Image Generator converts text into images and Text Generator creates text based on an analysis of the brand’s voice.
• Talking Medicines launched Drug-GPT on its PatientMetRx 2.0 platform, providing healthcare advertising agencies access to real-world insights about the lived experience, opinions, and sentiment of patients and healthcare professionals. Drug-GPT only uses Talking Medicines’ curated social data, making it more efficient and effective for subscribed healthcare advertising agencies to secure instant and accurate insights compared to alternative solutions. 
• Zendesk’s Zendesk AI improves customer experiences with several new features: Enhanced, pre-trained bots for messaging and email that automatically solve issues and leverage the company’s extensive database of customer intents; Agent assistance provides AI-powered insights and suggestions to quickly solve customer issues and use AI-generated content; Intelligent triage uses intent and language detection and sentiment analysis to create iterative workflows based on its classification of incoming customer requests.
• Capillary Technologies’s AskAira is an AI-powered content assistant which suggests appropriate messaging and personalized content to improve customer loyalty.
• Logiq’s programmatic ad platform has AI-powered fraud detection and analytics. It analyzes vast amounts of data to detect fraudulent practices, such as click fraud, impression fraud and traffic manipulation.

The post This week’s AI-powered martech features, products and platforms appeared first on MarTech.

The DAM Capability Model (DCM) is an established process for doing this. Corey Davis, digital asset manager for the brand team at Lucid Motors, explains what DCM is and how to use it.

“The areas of focus and strength within the application of DAM differ from organization to organization,” Davis said in his presentation at The MarTech Conference. “As a result, many businesses need to know where they stand in order to set smart, focused goals to get to the place where they need to be when it comes to … digital asset management.”

Dig deeper: Building a DAM (Digital Asset Management) business case

Capability models provide a way to document common experiences and pain points within the organization, a framework for prioritizing actions and a way to define what improvement means. They also help develop a common language and shared vision. For DAM it is a self-assessment tool to establish an ongoing solid road map for continuing success.

Five measures 

“There are the five measures that are applied in DCM to measure maturity and to establish that road map,” said Davis. 

“The initial measure is processes are individual-based and not regulated within the organization,” he said. “Emerging processes are starting to be established at a group level. Standardizing processes are agreed upon and centralized. And operationalizing processes can be measured and controlled. Finally, the highest point that you can reach is the focus on process improvement.”

Five levels

For each process there are five levels determine of maturity.

1. Ad hoc. when processes are being defined and introduced. There is no organized process and things are done ad hoc at this level. 
2. Repeatable. When processes are established, basic and consistent, but not documented and repeatable, and roles and responsibilities are aligned to process. 
3. Controlled. When standards are defined for processes at an enterprise level, creating end-to-end defined documented processes that are available transparent and available to all in the central repository. 
4. Metrics. Processes are controlled and measured with key performance metrics. Metrics are analyzed to determine process gaps and process owners agree on adherence to all of these touchpoints and processes. 
5. Optimized. Where the stage is set for continuous improvement. 

Four categories

The DCM also uses four categories.

1. Organization. The “people” roles, responsibilities, technical know-how, strategic alignment and talent in an organization’s use and management of DAM
2. Information. The core material and context that enable using an asset.
3. Systems. The related components that work together to facilitate the lifecycle of an asset.
4. Process. The repeatable set of steps and operations designed to realize each step of an asset’s lifecycle.

“Within those categories are dimensions which are the building blocks of DAM,” he said. “Each of these dimensions describes different functions in them that are needed for a fully functioning and progressive DAM.”

Within the DCM there is a chart for each category that outlines its dimensions and characteristics. On the top row along the X axis are the measures. The first column along the Y axis are the dimensions of that specific category and within the body of the chart. You have descriptive characteristics of each stage of maturity of these dimensions.

Here is an example of assessing strategic alignment withing the organization category.

“So after looking at all of these details, a big question comes up: How do we apply the DAM capability model?” Davis said. “To apply the DCM, you want to bring the elements of the previous charts together to establish where we are and to set clearly defined goals at each level.”

Choose what to explore

First, choose the categories you want to explore and identify its power users, the people with a vested interest in the success of DAM. Then survey them to evaluate the efficacy of DAM operations. This will tell you where your problem areas are. Once you know that, go back to them and brainstorm possible solutions and pathways to optimization. 

“This is not a checklist or a one-time-around-the-block type of tool,” said Davis. “The DAM Capability Model is meant to be used again and again to make sure that we reach those levels and that we are always staying on top of our digital asset management system’s growth and progression.”

Learn more about the DCM here.

The post Use this model to improve your digital asset management system appeared first on MarTech.

Not holding out for long. Thirty-one percent of those not using it expect to do so within a year and 46% within two years, according to the report from Botco.AI.

Why we care. Artificial intelligence is not new to marketing technology. It’s been part of it for at least a decade. However, since OpenAI’s release of ChatGPT last December, generative AI/chatbots are everywhere in martech. So many AI-powered products, features and platforms are being released now that we started a weekly roundup.

Ford’s Model T transformed transportation by making cars affordable to an enormous part of the population. AI has reached its Model T moment and reached it in less than six months.

What it’s being used for. Two-thirds of those surveyed say they use it for brainstorming sessions, first drafts and outlines. Nearly half (49%) say they rely on AI to produce final content. More specifically:

• Image creation 69%
• Text creation 58%
• Audio/voice 50%
• Chatbots 37%
• Coding 36%

B2B leads the way in using AI, with 78% having adopted it, compared to 65% of B2C companies.

Dig deeper: 3 ways B2B marketers can use generative AI

Why it’s not being used. Exactly half of those not using generative AI yet say its because of the team training required to use it effectively. Meanwhile, 45% cited the cost and 45% cited privacy and security concerns as obstacles.

What are they using. The most commonly used tools are:

• ChatGPT 55%
• Copy.ai 42%
• Jasper.AI 36%
• Peppertype.ai 29%
• Lensa 28%
• DALL-E 25%
• Midjourney 24%

Methodology. Botco.AI surveyed 1,000 B2B and B2C marketing professionals in March. Three-quarters of them were from companies with 100 or more employees.

The post 73% of marketers now using generative AI tools appeared first on MarTech.

Dig deeper: MarTech’s marketing AI experts to follow

Here is a roundup of actual AI-powered martech products, platforms and features announced this week. 

• Dealtale’s Dealtale IQ uses generative AI to analyze/create complex data and generate insights on performance metrics reports via a natural language interface.
• Roku introduced an AI-powered contextual search that finds “iconic plot moments” in Roku content that would match a brand’s message and places their ads in real-time.
• Fooji’s Safesail is an AI-powered brand safety solution that detects harmful text, images and videos “across nine psychologically-validated dimensions — including hate, racism, explicit content, violence, murder, drugs and weapons.” It is a feature of Crowdsail, “a surprise and delight platform for companies to easily interact with fans on social media.”
• Chatmeter has launched new modules and custom topic features for its AI-powered sentiment analysis tool, Pulse. The new modules show: The best and worst topics with how people feel and rate them on all online channels; category trends of how many times people talk about things online over a chosen time; and top locations by rating a picture of the most talked about topics
• Acceleration Partners has integrated artificial intelligence into its partnership marketing data and analytics platform, APVision. The platform is now able to provide intelligent outcomes from various inputs, generate reports and recommendations and segment publishers and influencers.
• Metric Insights’ BI Concierge is part of the company’s Enterprise BI Portal. It enables conversational discovery of reports and dashboards and provides content recommendations based on knowledge of all BI across an organization. 
• StructuredWeb’s ChannelGPT, an AI-powered feature of its enterprise through-channel marketing automation platform. It uses vendor’s sales, marketing and product content to create content for a variety of channels, including news articles, blogs, websites, emails, social media posts, ads and scripts.
• YouScan, a platform for social media listening with image recognition, has introduced Insights Copilot which can provide insights based on a very large number of online conversations. It answers any questions related to a specific monitoring query and removes mentions that are not relevant or spam, increasing the accuracy of the response. 
• Contentful’s Composable Content Platform AI Content Generator generates content and can translate it into several languages.
• EcoSend launched a free, ChatGPT-based subject line generator as part of its efforts to diminish martech’s environmental impact. The company believes the generator can cut email campaign development time by 15%. 
• InnerAction Media’s StoryMaker uses generative AI to help small businesses write their perfect 30 second pitch – and other important marketing messages – instantly. It uses a business’ marketing data to create the content which can be used on social media platforms, traditional media, emails, presentations and in-person events.

The post AI-powered martech: This week’s new releases appeared first on MarTech.