Zendesk acquires agentic customer service startup Forethought

Zendesk is acquiring Forethought, a company that builds software to automate customer service interactions, the companies announced on Wednesday. The deal is expected to close by the end of March.
While AI agents, particularly for customer service, may be all the rage now, Forethought was years ahead of its time. In fact, it was the 2018 winner of TechCrunch Battlefield, our iconic startup pitch…

Zendesk acquires agentic customer service startup Forethought

Zendesk Acquires Forethought: Unleashing Agentic AI for Service

On Wednesday, it was revealed that Zendesk is set to purchase Forethought, an enterprise specializing in creating software to streamline client support engagements. This transaction is anticipated to conclude prior to the end of March.
Even though artificial intelligence assistants, especially for client support, are exceedingly popular today, Forethought demonstrated remarkable foresight,…

Zendesk Acquires Forethought: Unleashing Agentic AI for Service

Lloyds: Your Data, Their Fintech Empire

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Lloyds Banking Group plans to market additional client data and streamline regulatory audits, aiming to cut tech expenses and reposition itself as “the United Kingdom’s leading fintech entity.”
This prominent financial institution, serving 28 million…

Lloyds: Your Data, Their Fintech Empire

How 1,000+ customer calls shaped a breakout enterprise AI startup

This isn’t David Park’s first rodeo. The veteran founder and TechCrunch Startup Battlefield alumnus has certainly been battle-tested in the enterprise arena. On this episode of Build Mode, Park joins Isabelle Johannessen to discuss how he and his team are intentionally iterating, fundraising, and scaling Narada. This enterprise AI solution uses large action models to automate complex, multistep…

How 1,000+ customer calls shaped a breakout enterprise AI startup

A married founder duo’s company, 14.ai, is replacing customer support teams at startups

The customer service industry is in a bit of flux, thanks to AI. Investors and corporate leaders have rung alarm bells for the BPO (Business Process Outsourcing) industry. On the other hand, AI-powered customer support startups such as Decagon, Parloa, and Sierra have picked up millions of dollars in funding from venture capitalists.
14.ai, a Y-Combinator-backed startup, is taking an approach of…

A married founder duo’s company, 14.ai, is replacing customer support teams at startups

Whopper’s New Reign: Burger King Delivers Customer-Inspired Bun & Box

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Burger King is refreshing its renowned Whopper for the initial time in almost a decade, as the company disclosed on Thursday.
Following input gathered from patrons, the quick-service restaurant announced it would now present the sandwich on a “more premium, better tasting bun,” and within a carton, rather than the existing paper wrapping.
“Over the…

Whopper’s New Reign: Burger King Delivers Customer-Inspired Bun & Box

What Is User-Generated Content and Why Does It Matter?

You know your product is good. Your customers know it too—the ones who’ve found you. But reaching everyone else? That’s the challenge that keeps business owners up at night.

Quick Answer:

User-generated content (UGC) refers to any form of content—reviews, photos, videos, testimonials—created by customers rather than brands. In 2024, leveraging UGC authentically means encouraging customers to share their real experiences, amplifying their voices through social proof, and integrating this content strategically to build trust and engagement. Best practices include incentivizing participation, showcasing diverse customer stories, and optimizing UGC for SEO and social reach.

What Is User-Generated Content and Why Does It Matter?

User-generated content (UGC) is any content—text, images, videos, or reviews—created and shared by customers or fans of a brand. In marketing, UGC acts as authentic social proof, showing potential customers real-life experiences rather than polished advertisements. This authenticity is what makes UGC a powerhouse for brand engagement.

According to a 2024 report by

Stackla

,

79% of people say UGC highly impacts their purchasing decisions

. This statistic highlights how critical genuine customer voices are in influencing brand trust and conversions.

From my experience working with brands across niches, UGC not only boosts engagement but also fosters a community feeling—customers become advocates, not just consumers. This emotional connection is where authentic brand engagement truly starts.

How to Effectively Leverage User-Generated Content for Authentic Engagement

Authentic engagement through UGC means more than reposting customer photos. It involves a strategic approach that respects and amplifies customer voices. Here’s how to do it well in 2024:

Encourage Diverse Content Creation:

Ask customers to share their stories in their own words and formats—whether it’s video testimonials, unboxing clips, or creative photos. Diversity in UGC adds richness and relatability.

Incentivize Participation Thoughtfully:

Offer rewards such as discounts, exclusive access, or features on your official channels—not just giveaways. This creates meaningful motivation beyond transactional exchanges.

Integrate UGC Across Channels:

Use customer content on social media, emails, websites, and even paid ads. This cross-channel integration maximizes reach and reinforces authenticity.

Engage and Acknowledge Creators:

Quick Answer

You know your product is good. Your customers know it too—the ones who’ve found you. But reaching everyone else? That’s the challenge that keeps business owners up at night.

Quick Answer

AI-powered analytics in digital marketing

refers to the use of artificial intelligence technologies to collect, process, and analyze vast amounts of marketing data, enabling smarter and faster decision-making. By leveraging machine learning algorithms and predictive analytics, marketers can identify trends, optimize campaigns, and boost ROI more effectively than traditional methods.

What Is AI-Powered Analytics in Digital Marketing?

At its core, AI-powered analytics combines artificial intelligence with data analysis to improve how marketers understand customer behaviors, campaign performance, and market trends. Unlike manual analysis, these tools sift through huge datasets in real-time, uncovering insights that would be impossible or time-consuming for humans alone.

Key features of AI analytics tools include:

Predictive Analytics:

Forecast future customer actions based on historical data.

Natural Language Processing (NLP):

Analyze customer sentiment from social media and reviews.

Automated Reporting:

Generate easy-to-understand dashboards and alerts.

Behavioral Segmentation:

Group customers by activity patterns for targeted marketing.

For marketers eager to deepen their understanding, this

post about marketing

offers complementary insights into data-driven strategies.

How AI Improves Data Analysis for Marketing Strategies

AI improves marketing data analysis by:

What Is AI-Powered Analytics in Customer Segmentation?

You know your product is good. Your customers know it too—the ones who’ve found you. But reaching everyone else? That’s the challenge that keeps business owners up at night.

Quick Answer:

Leveraging AI-powered analytics to optimize customer segmentation in digital marketing means using advanced machine learning algorithms to analyze customer data and identify distinct groups based on behavior, preferences, and demographics. This approach enhances segmentation accuracy, enabling marketers to tailor campaigns more effectively and boost engagement and ROI.

What Is AI-Powered Analytics in Customer Segmentation?

At its core,

AI-powered analytics

refers to the use of artificial intelligence technologies—such as machine learning, natural language processing, and predictive modeling—to process and interpret vast amounts of customer data. In the context of customer segmentation, it means automatically discovering meaningful groups within a target audience that share similar characteristics or behaviors.

This approach goes beyond traditional segmentation methods by adapting dynamically to new data and uncovering subtle patterns humans might miss. For example, instead of just segmenting by age or location, AI can identify micro-segments based on browsing habits, purchase history, or even social media sentiment.

How AI Enhances Customer Segmentation in Digital Marketing

AI transforms customer segmentation through several key techniques:

Clustering algorithms

like K-means or hierarchical clustering group customers with shared attributes without predefined labels.

Predictive analytics

forecasts future behaviors, helping marketers segment customers by likelihood to purchase or churn.

Natural language processing (NLP)

analyzes qualitative data from reviews or social media to enrich segmentation profiles.

By leveraging these techniques, marketers can create highly personalized campaigns that resonate deeply with each segment. For instance, AI can identify a cluster of customers who frequently abandon carts but respond well to discount offers, enabling targeted re-engagement strategies.

According to a recent report by

Gartner

, companies using AI-driven customer segmentation see an average increase of 15-20% in marketing ROI. This boost comes from more efficient targeting and improved customer experiences.

What Is Unlocking Customer Loyalty?

Being locked out feels like time stops. Your keys are right there—on the other side of a door that won’t budge. Whether you’re standing outside your home, car, or business, that moment of realization brings a unique kind of frustration. In many ways, losing a customer feels just like that—a door closed while your brand’s potential remains just beyond reach. Unlocking customer loyalty is the key to keeping your clients inside, engaged, and coming back for more, especially in today’s fiercely competitive marketplace.

Quick Answer:

Customer loyalty can be unlocked by delivering exceptional customer experiences, personalizing interactions, and consistently adding value. Retaining loyal clients drives sustainable business growth and profitability by reducing acquisition costs and increasing lifetime customer value.

What Is Unlocking Customer Loyalty?

“Unlocking Customer Loyalty” refers to implementing proven strategies that retain clients by fostering trust, satisfaction, and emotional connection in a competitive marketplace. It involves understanding customers’ needs deeply and consistently delivering value that encourages repeat business and advocacy.

Why Does Customer Loyalty Matter for Business Growth?

Customer loyalty is not just a feel-good concept—it’s a measurable driver of business success. According to

Invesp

, acquiring a new customer can cost five times more than retaining an existing one. Moreover, loyal customers are 60-70% more likely to buy again and spend 67% more than new customers.

This means a loyal client base directly improves profitability by lowering marketing and acquisition costs and boosting lifetime value—key metrics for sustainable growth. But how do you cultivate this loyalty in a crowded market where choices are endless?

10 Proven Strategies for Retaining Customers in a Competitive Marketplace

Based on my experience working with diverse brands, here are ten actionable strategies that have consistently unlocked strong customer loyalty:

Deliver Exceptional Customer Experience (CX)

: Prioritize seamless, personalized interactions across every touchpoint. A well-crafted CX builds trust and emotional connection, which is crucial for retention.

Personalize Communication and Offers

: Use data analytics and CRM tools to tailor emails, promotions, and content that resonate with individual preferences.

Implement a Loyalty Rewards Program

: Reward repeat business with points, discounts, or exclusive access to reinforce positive buying behaviors.

Engage Through Social Proof

: Showcase testimonials, reviews, and user-generated content to build community and credibility.

Quick Answer

You know your product is good. Your customers know it too—the ones who’ve found you. But reaching everyone else? That’s the challenge that keeps business owners up at night.

Quick Answer

Optimizing your marketing funnel in 2024 means strategically improving each stage—from awareness to conversion—by leveraging personalization, data-driven insights, and automation tools. The most effective strategies include refining customer segmentation, integrating user-generated content, and continuously tracking key metrics like conversion rates and customer lifetime value.

Understanding Marketing Funnel Optimization in 2024

At its core,

marketing funnel optimization

is the process of enhancing every step prospects take toward becoming loyal customers. In 2024, this means more than just tweaking landing pages; it involves a holistic approach that adapts to evolving consumer behaviors and technological advances.

Recent years have seen a shift toward hyper-personalization and real-time data analysis, fueled by AI-powered tools that allow marketers to deliver the right message at the right time. According to a 2023 report by HubSpot, businesses that use funnel optimization techniques see an average conversion rate increase of 30%, directly impacting ROI.

Key metrics to monitor include:

Conversion rates at each funnel stage

—from visitor to lead, lead to customer

Customer acquisition cost (CAC)

and

customer lifetime value (CLV)

Bounce rate and engagement metrics

on landing pages and emails

10 Proven Strategies to Optimize Your Marketing Funnel in 2024

Here are actionable tactics you can implement today to supercharge your funnel performance:

Leverage Personalization at Every Touchpoint

Use data to tailor messaging, offers, and content dynamically, increasing relevance and engagement.

Quick Answer

You know your product is good. Your customers know it too—the ones who’ve found you. But reaching everyone else? That’s the challenge that keeps business owners up at night.

Quick Answer

AI-powered analytics in marketing uses artificial intelligence to analyze vast data sets, uncover patterns, and predict customer behavior. By leveraging these insights, brands can create highly targeted marketing campaigns that resonate with specific audiences, improving engagement and conversion rates.

Understanding AI-Powered Analytics in Marketing

At its core,

AI-powered analytics

refers to using machine learning algorithms and data processing techniques to analyze marketing data in a way that human analysts alone cannot match. This includes data from customer interactions, browsing behavior, social media activity, and transaction histories.

For marketers, it means turning complex data into actionable insights that drive precise targeting. AI identifies segments with similar preferences, predicts which offers will perform best, and optimizes ad placements in real time.

Common types of data used include:

Demographic data (age, location, gender)

Behavioral data (website visits, clicks, purchase patterns)

Psychographic data (interests, lifestyle preferences)

Customer feedback and reviews

Social media engagement metrics

For a deeper dive into how customer content influences engagement, check out

What Is User-Generated Content and Why Does It Matter for Brand Engagement?

How AI Analytics Improve Targeted Marketing Campaigns

AI enhances targeted marketing by:

Predictive Modeling:

AI models predict customer preferences and future buying behavior with remarkable accuracy. According to Salesforce, 72% of high-performing marketers use AI to improve personalization.

What Is Agile Methodology and How Does It Differ from Traditional Project Management?

Finding the right “How to Implement Agile Methodologies in Your Small Business for Enhanced Productivity and Growth” service shouldn’t feel like a gamble. Yet too often, it does. You read reviews, compare prices, and still wonder: will they actually deliver what they promise?

Quick Answer:

Agile methodologies enhance small business productivity by fostering flexibility, collaboration, and iterative progress. Small businesses can implement Agile frameworks effectively by adopting key principles like customer focus, continuous improvement, and adaptive planning, often starting with simple frameworks such as Scrum or Kanban tailored to their unique needs.

What Is Agile Methodology and How Does It Differ from Traditional Project Management?

Agile methodology is a project management approach centered on iterative progress, team collaboration, and adaptability to change. Unlike traditional waterfall methods, which follow a linear, rigid sequence of phases, Agile embraces flexibility and continuous feedback to deliver value faster.

For small businesses, this means breaking projects into manageable pieces, regularly reassessing priorities, and involving customers throughout the process. This dynamic approach contrasts with the fixed scope and timelines of traditional methods, making Agile particularly well-suited to evolving markets and limited resources.

Key Principles of Agile and How Small Businesses Can Implement Them Effectively

Understanding Agile starts with its core principles, which include:

Customer Collaboration Over Contract Negotiation:

Engage customers frequently to ensure the product or service meets real needs.

Responding to Change Over Following a Plan:

Stay flexible and adaptable, adjusting priorities based on feedback and market shifts.

Individuals and Interactions Over Processes and Tools:

Empower your team to communicate openly and solve problems collaboratively.

To implement Agile effectively in a small business, consider the following actionable steps:

Start Small with a Suitable Framework:

Scrum and Kanban are popular Agile frameworks that can be customized for small teams. Scrum focuses on sprints and regular stand-ups, while Kanban visualizes workflow and limits work in progress.

Train Your Team:

Introduce Agile concepts through workshops or online courses to build a shared understanding. This helps avoid misapplication and aligns expectations.

Use Simple Tools:

What is Customer Segmentation and Why It Matters

You know your product is good. Your customers know it too—the ones who’ve found you. But reaching everyone else? That’s the challenge that keeps business owners up at night.

Quick Answer:

Customer segmentation in marketing is the process of dividing your customer base into distinct groups based on shared characteristics such as demographics, behavior, or preferences. This allows you to create personalized marketing strategies that resonate more deeply with each segment, improving engagement and conversion rates.

What is Customer Segmentation and Why It Matters

Customer segmentation is the practice of categorizing a business’s audience into smaller groups that exhibit similar traits, such as age, buying behavior, location, or interests. These segments enable marketers to tailor messages and offers specifically to each group, rather than using a one-size-fits-all approach.

Why is this important? According to a study by

MarketingCharts

, segmented email campaigns can result in a 760% increase in revenue. Personalization doesn’t just feel nicer to customers; it drives significant business impact.

From my experience working with various brands, companies that invest time in refining their customer segments often see higher open rates, improved customer loyalty, and stronger brand affinity. Yet many businesses struggle to identify the right segments or lack the tools to implement segmentation effectively.

Main Types of Customer Segmentation

Understanding the different types of segmentation is key to building effective groups that truly reflect your audience:

Demographic Segmentation:

Based on age, gender, income, education, or occupation.

Geographic Segmentation:

Dividing customers by location—country, city, climate, or urban/rural.

Psychographic Segmentation:

Focuses on lifestyle, values, interests, and personality traits.

Behavioral Segmentation:

Groups customers by purchasing habits, brand loyalty, usage frequency, or online behavior.

Each type offers unique insights, and combining them often yields the most precise targeting. For example, targeting young urban professionals (demographic + geographic) who frequently shop online (behavioral) can guide you to craft highly relevant promotions.

Quick Answer

You know your product is good. Your customers know it too—the ones who’ve found you. But reaching everyone else? That’s the challenge that keeps business owners up at night.

Quick Answer

AI-powered analytics in marketing

refers to the use of artificial intelligence technologies to analyze vast amounts of customer data and predict future behaviors. By leveraging these insights, predictive marketing strategies anticipate customer needs, optimize campaigns, and improve ROI. In 2024, key AI technologies like machine learning, natural language processing, and data mining drive these predictive capabilities.

Understanding AI-Powered Analytics and Predictive Marketing

At its core,

AI-powered analytics

in marketing means harnessing algorithms that can process diverse customer data—purchase history, browsing behavior, social media activity—to uncover patterns and forecast future actions. This predictive marketing approach enables brands to target the right audience segments with personalized messages before customers even realize their needs.

Predictive marketing strategies work by:

Collecting multi-source data and feeding it into AI models.

Analyzing customer trends and segmenting audiences intelligently.

Forecasting which customers are most likely to convert, churn, or respond to offers.

Automating personalized outreach based on these predictions.

For example, an e-commerce brand might predict which users are likely to abandon their cart and trigger timely email reminders or discounts. This proactive approach boosts engagement and sales.

In 2024, the primary AI technologies empowering these strategies include:

Machine Learning (ML):

Enables continuous learning from new data to improve prediction accuracy.

Natural Language Processing (NLP):

Analyzes customer sentiment from reviews and social media.

Deep Learning:

Illusion of Resolution by SBI Exposed

Here are the main points from the analysis of the dispute. It covers your missing refund and the bank’s procedural conduct. This case highlights what many customers experience as the Illusion of Resolution by SBI.

1. Systematic Failure of Technical Traceability

The ARN Gap: SBI has the Acquirer Reference Number (ARN) 82305096028500012763392, which is the definitive digital “fingerprint” for…

Illusion of Resolution by SBI Exposed

25-Day ‘Goods Train’ Refund: A Digital Dilemma

Here are the key takeaways from the blog post regarding the systemic mismanagement of digital refunds. In particular, the ongoing concerns around the 25-Day ‘Goods Train’ Refund process are highlighted.

1. The Efficiency Gap

There is a massive contradiction in modern banking: payments are instant, but refunds are manual. While banks use high-speed automation to debit your account, they rely on…

25-Day 'Goods Train’ Refund: A Digital Dilemma

Sauce ain’t real, only results are

https://getmysocial.com/gavinmagoonofficial

Since I’m going to a screening of “The Room” later tonight:

Ways to approach the poll if the character isn’t a royal:

If you think they’d be from a smaller house, go with the Great House that that smaller house is sworn to (ex: House Manderly —> vote Stark)

They don’t have to be a nobleperson, they can be someone working for the house or being ruled by them. Roles could be a sworn-sword, a septa, a butcher, a blacksmith, or even a lowly peasant.

You can consider the region itself. For example, if you feel the character would be from Dorne, pick House Martell.

You can consider the personality of the character. For example, if your character is all about honor, then consider either House Arryn or House Stark.

Last, but not least, be creative with it! For example, there was a comment I read that the character who was the subject of the poll would be pulling a Littlefinger, so they went with either Lannister or Tyrell as that would be that character’s target houses.

How to Leverage AI for Enhanced Customer Experience in Small Businesses

Quick Answer

Small businesses can significantly enhance customer experience by leveraging AI technologies such as AI-driven customer engagement tools and data analytics. According to a study by Forrester Research in 2026, 60% of small enterprises that adopted AI for customer service reported a 30% increase in customer satisfaction within six months. Implementing personalized service and automating support channels can lead to substantial improvements in customer relationships and operational efficiency.

Introduction

In today’s competitive market, customer experience is not just a differentiator; it’s a necessity for small businesses seeking growth and sustainability. The integration of artificial intelligence (AI) into customer service processes allows small enterprises to provide personalized, efficient service that meets customer expectations. As AI technologies continue to evolve, they offer cost-effective solutions for customer experience optimization that can rival those of larger corporations.

According to McKinsey & Company, businesses that invest in AI-driven customer engagement strategies can see up to a 50% increase in customer retention. This guide aims to provide actionable steps for small business owners to leverage AI effectively, ensuring enhanced customer satisfaction and loyalty.

Step-by-Step Process to Leverage AI for Enhanced Customer Experience

Identify Customer Pain Points

Tip

: Use surveys and feedback forms to gather data on customer challenges.

Example

: A local coffee shop discovered through customer feedback that long wait times during peak hours were a significant pain point. They implemented AI chatbots to manage orders during busy times, reducing wait times by 40%.

Choose the Right AI Tools

Tip

: Look for AI tools designed specifically for small enterprises, such as chatbots for customer support or AI-driven analytics platforms.

Example

: Businesses like Xero have adopted AI-powered invoicing solutions that automate repetitive tasks, saving up to 15 hours a week in administrative work.

Implement AI-Driven Customer Engagement

Tip

: Incorporate AI technologies that personalize customer interactions, such as recommendation engines.

Expert Perspective