#customer-segmentation

[guerillamarketingguy]

AI's Role in Revolutionizing Customer Segmentation: The Future Is Now

AI's Role in Revolutionizing Customer Segmentation Read more 🔗

In today’s digital marketing realm, understanding your customer base is no longer just advantageous—it’s essential. Artificial Intelligence (AI) revolutionizes customer segmentation by offering transformative potential and enabling precise targeting. AI’s integration leads to increased accuracy, efficiency, discovery of new customer insights, real-time data processing, and continuous refinement…

[art-of-a-ghostie]

The fact that Prison of Plastic reveals that in the Banzai Blasters the Captain is not the one who gives nicknames but it's more a group activity implies that Giovanni's boys simply started calling Crusher basically the upgrade of "Lover Boy" and he either was on board with that or they just kept doing that until it became an official thing against his will and I don't know which is more hilarious.

[mocury-moto]

okokok so this is definitely the most weirdly specific question ive ever asked but does anyone know if the symmetrical worm enemies in terraria (eater of worlds, destroyer, bone serpent, etc.) flip to stay upright in the same way the asymmetrical ones (wyvern, blood eel, and phantasm dragon) do and we just cant tell bc their designs are symmetrical

[lottieratworld]

someone ages ago asked me if lottieratworld on roblox was my avatar cause they thought it was cute and the stop sopa sign was funny. yea thats me. i got that sign ages ago for free when it was relevant, they since removed it but u keep it forever and can still equip it whenever u want

i cant play this anymore bc they ended linux support (theyre homophobic 💔) and playing on my phone sux. pls allow me to play it on linux again ill buy robux again <3

[delightfuldevin]

People in the comments of the new splatfest song are kinda annoying ngl,,

Marina is very smart y’all. Even if she was sheltered by growing up in the Octarian domes, I’m preeetty sure everyone wasn’t super kind and genuine to each other all the time. There’s no way Marina doesn’t know what being passive aggressive looks like. She’s not too uwu pure to tell that Shiver was insulting her. She’s just a genuine fan of Deep Cut and she ain’t about that petty insults stuff.

[wastelandhell]

I haven't posted any mods or screenshots in a while, here's a little something for you! A more refined BOS uniform for taking screenshots.

I tweaked the brotherhood uniform to give more polygons to the shoulders, collar, chest, butt, crotch, and thighs. This should let the outfit morph better with more extreme body presets, and look much smoother in screenshots. I also did the same for the elbows and knees after taking these shots, so they will not be as jagged as in the pictures.

Requires Bodytalk 3, must be built in bodyslide. Search "knight" in the outfit filter to find it. This will replace the male mesh for the vanilla bos uniform and the full outfit from my custom uniform mod, though it doesn't affect the other outfit variants. This only includes the mesh, the textures are on my nexusmods page.

GOOGLE DRIVE

Please note that this is made for screenshots and mashups, it doesn't have segmentation for vats and won't morph with the pip boy if worn with one. I would recommend only using this for screenshots, and removing it by either deleting the built meshes from your overwrite or rebuilding the outfit using the bodyslide files included with the bodytalk 3 install before returning to gameplay.

[hiya-im-mary]

It seems not everyone is taking well to the UCN…

SO I REDREW AN SFM SCREENSHOT!!!! This was from Domme23!!

Comparrison:

It’s not the most polished thing ever,but I really wanted to take a stab at drawing it,sooo- 👉👈

[snazzi-strawberri]

i love u adblock i love u firefox plugins i love you xkit i love u betterdiscord i love customizing sites to my own favorite colors and fonts and preferences and taking away the features that annoy me as well as adding quality of life plugins that i cant imagine living without i LOVE you i love uuu muah muahhh chuchu🥺🥺💋💋💋😘

[libertys-lovers]

So I had a dream where a group of heroes & I were looking for this sword that had literally unlimited power? And because my dreams give me the abilities of my sona (and my sona’s fucking OP), the group decided I was the only one strong enough to handle it??? I guess???

So ya know, I pulled it out of the ground, and of COURSE as soon as I did we got ambushed by these… creatures? A disembodied voice called them Eldritch, but they were more like trolls that looked like stone. And the whole point of the ambush was to test the sword & the people that wanted it.

Anyways, I’m telling you this, because you’ll NEVER guess who was in my group

fucking LÚCIO!!!

THAT’S RIGHT! You thought it was a normal dream, but it was actually me, SELF INDULGENCE!

He wasn’t wearing his normal aesthetic though. Like he was wearing all yellow? I distinctly remember a yellow tank-top. His locs were shorter than normal too, I noticed. But like it was still obviously him ya know?

Anyways it was just really fucking cute. We were teaming up & fought together! And despite us being in this action-packed scenario, we still found time for us to smooch a lil 🥺🥺. I could really feel him man…. It was so damn wild 😭🙏

[selldorealestatecrm]

How To Enhance Your Re Marketing & Sales by Segmenting Your Customers

Marketing & sales are the most crucial operations undertaken by any business. It is only through marketing that a brand can communicate information about itself and its product, and reach its target audience. Sales, on the other hand, are the primary source of revenue for a business, and essential for its survival.

The real estate sector has high-involvement products, which lengthens the buying cycle. Hence, marketing becomes even more important since consumers must be kept engaged and interested through this longer buying cycle. Real estate marketing must be strategically planned and executed in order to gain the best results from it and drive more sales. 

Customer segmentation is one of the best ways to achieve this. Let us explore how real estate segmentation enhances the scope of operations of the industry.

[jcmarchi]

How AI-Led Platforms Are Transforming Business Intelligence and Decision-Making

New Post has been published on https://thedigitalinsider.com/how-ai-led-platforms-are-transforming-business-intelligence-and-decision-making/

How AI-Led Platforms Are Transforming Business Intelligence and Decision-Making

Imagine a retail company anticipating a surge in demand for specific products weeks before a seasonal shopping event. Or consider a healthcare provider accurately predicting patient influx during peak flu season, enabling them to allocate resources efficiently and improve care. These scenarios are not hypothetical—they are becoming the norm in organizations leveraging artificial intelligence (AI) for real-time, actionable insights.

AI is revolutionizing the way businesses strategize, make decisions, and maintain a competitive edge. As Deloitte’s “State of AI in the Enterprise” report reveals, 94% of business leaders view AI as essential for achieving success in the next five years. AI is no longer just a tool; it is a strategic enabler that high-performing organizations are leveraging to enter new markets, enhance products, and drive significant revenue growth.

This is where AI-led platforms come into play. Moving beyond traditional data processing, these platforms continuously analyze and interpret data from diverse sources, transforming it into intelligence that guides strategic actions in real-time. By integrating AI at the core of decision support, these platforms empower businesses to anticipate market shifts, adjust strategies, and respond swiftly to evolving conditions.

From Static Data to Real-Time Strategic Agility

AI-led platforms are a leap forward from static reporting and periodic insights. Today’s organizations need intelligence that continuously adapts to market shifts and consumer behaviors. According to McKinsey, by 2030, many companies will be approaching “data ubiquity,” where data is not only accessible but also embedded in every system, process, and decision point. This embedded data will drive automated, insight-driven actions with sufficient human oversight, allowing businesses to react to changes instantly and improve operational effectiveness.

For instance, healthcare organizations rely on AI-led platforms to predict patient needs with remarkable accuracy. These platforms analyze vast, real-time datasets from patient records, treatment histories, and diagnostic trends, enabling providers to optimize care delivery. By predicting patient inflow and aligning resources accordingly, healthcare institutions can improve outcomes and increase operational efficiency. This kind of agility is not just a benefit; it addresses the urgent demands of an industry that frequently operates under resource constraints, making healthcare delivery more adaptable and responsive.

Speeding Up Decision Cycles with AI-Driven Responsiveness

A core advantage of AI-led platforms is their ability to dramatically accelerate decision cycles, enabling organizations to respond to changes in real-time. Traditional business intelligence processes often involve time-consuming data collection, analysis, and interpretation, limiting an organization’s ability to act swiftly. In contrast, AI-led platforms provide continuous analysis, equipping leaders with data-backed insights that empower rapid, confident decision-making.

In retail, where customer preferences shift quickly, and demand can fluctuate hourly, AI-led platforms are invaluable. By continuously analyzing live data from sales, inventory, and customer interactions, these platforms allow retailers to dynamically adjust stock levels and adapt pricing strategies. According to a Deloitte report, by 2025, 20% of top global retailers are expected to achieve holistic results by using distributed AI systems. Additionally, 91% of executives identified AI as the most game-changing technology for retail in the next three years.

This responsiveness helps retailers minimize waste, avoid stockouts, and ensure products are available exactly when and where customers expect them. Such agility does not just meet immediate needs—it transforms retailers from reactive to proactive, allowing them to deliver exceptional customer experiences and operational efficiency in a competitive market.

Building Compounding AI Value Through Learning Systems

AI-led platforms do not merely provide static insights; they are self-learning systems that improve with each interaction. This ability to “learn” from past data and refine recommendations makes AI platforms more adept at predicting future outcomes, creating an ongoing cycle of improvement that helps organizations build resilience and foresight. By building compounding AI value, these platforms allow every successful decision to enhance future outcomes across interconnected areas of the business.

For financial services providers, this compounding value is transformative. Predictive models within AI-led platforms enable banks, investment firms, and insurers to identify and mitigate risks proactively. By recognizing emerging patterns in market data, these platforms help financial institutions adjust their strategies, make informed investment choices, and comply with regulatory requirements. This proactive approach safeguards their operations and enhances customer trust—a critical advantage in a sector where stability and trust are paramount. Over time, this cumulative learning leads to a stronger, more resilient organization equipped to navigate evolving financial landscapes with confidence.

Elevating Customer Engagement with Hyper-Personalized Intelligence

AI-led platforms are reshaping customer engagement by enabling unprecedented levels of personalization. Traditional customer segmentation methods are limited in scope, often categorizing customers into broad groups. AI, on the other hand, can deliver hyper-personalization by analyzing individual behaviors, preferences, and purchasing patterns. This enables businesses to provide experiences tailored to each customer’s unique needs, fostering stronger connections and driving loyalty.

Retailers, for example, are already harnessing the power of AI-led platforms to understand customer behavior in real-time. By analyzing data on previous purchases, browsing habits, and even location data, retailers can provide tailored product recommendations, exclusive promotions, and personalized reminders at optimal times. This level of engagement boosts immediate sales and builds lasting customer loyalty and brand affinity. In the competitive retail landscape, where customer expectations for personalization are constantly rising, such capabilities are becoming essential for long-term success.

Engineering Excellence and Optimizing for Scalability

To fully realize the potential of AI-led platforms, tech leaders must prioritize several strategic and operational imperatives. These include a commitment to engineering excellence, adaptability, scalability, and ethical transparency:

Precision in Model Development AI models are only as effective as the data and design behind them. Developing models that provide reliable, accurate insights demands rigorous attention to data quality, model training, and validation processes. Effective deployment also means ensuring that AI models can perform well in a wide range of real-world scenarios and adapt as new data comes in.

Modular and Adaptive Architectures Organizations benefit significantly from modular architectures that support rapid deployment and adapt to evolving needs. This flexibility enables tech teams to adjust components or integrate new capabilities without disrupting the entire platform. As market conditions change, this adaptive architecture becomes invaluable for maintaining relevance and responsiveness.

Optimizing for Scalability Beyond the Pilot Phase Many organizations struggle to move AI initiatives beyond the pilot stage. To truly capture AI’s value, it is essential to develop platforms that are scalable, robust, and consistent. Successful scaling requires platforms that can handle increased data volumes and user demands without compromising performance. Scalable solutions maximize the reach and impact of AI across the organization, ensuring predictable ROI and seamless transitions from experimentation to enterprise-wide deployment.

Deterministic Outcomes for Stability and Reliability As organizations rely on AI-led platforms to make critical, data-driven decisions, ensuring deterministic outcomes—consistent, predictable, and reliable results—becomes essential. Deterministic AI systems reduce the risk of unexpected behaviors or “hallucinations,” delivering accuracy and stability even as data volumes increase and environments shift. This predictability allows organizations to maintain confidence in AI-driven insights, crucial for supporting innovation without compromising operational stability.

Security and Ethical Transparency As AI systems gain access to sensitive data, particularly in sectors like healthcare and finance, security and ethical considerations become predominant. AI-led platforms must incorporate rigorous data governance, privacy measures, and ethical safeguards to operate transparently and responsibly. Building trust through transparent practices and a commitment to ethical standards is crucial for the successful adoption of AI-led systems in high-stakes industries.

Setting a New Standard for Decision Support and Competitive Foresight

The power of AI-led platforms lies not in doing things better, but in reshaping how businesses operate and compete. Future leaders will leverage AI for incremental gains and seize strategic opportunities others overlook, creating positions unique to AI-enabled enterprises.

These platforms allow businesses to build models that grow stronger with each decision, balancing human expertise with AI capabilities to deliver lasting value. By anticipating and proactively meeting customer needs, they foster loyalty and drive exponential growth.

For today’s leaders, the question is not how AI can improve decisions, but how it can redefine the game. Those who embrace AI as a foundation for sustainable growth will set the benchmarks for tomorrow—using platforms that continually innovate, adapt, and add value, positioning their organizations to lead in the future of intelligent business.

[grapheneai]

Customer segmentation is a powerful tool for businesses looking to maximize their product portfolio and marketing investments. In competitive B2C markets, benefit-based segmentation powered by AI can provide a significant advantage.

[dravidious]

You're more amazing than pits

Had a neat idea for a sacrifice effect, also Trauma Center cards

[abhibaj]

Mastering GTM for Growth: Insights with Connor Clancy from Workday

Effective go-to-market (GTM) strategies have become essential for business growth, particularly in today’s competitive landscape. Connor Clancy, a growth strategist at Workday, shares insights on how companies can successfully implement GTM strategies through cross-functional collaboration, amplifying the voice of the field, and crafting relevant customer incentives. This guide distills Clancy’s views, offering actionable strategies to drive growth and improve GTM outcomes.

What Makes a Successful GTM Strategy in 2024?

A successful GTM strategy in 2024 isn’t solely about product features or price competitiveness; it’s about how well a business can align its efforts to solve real customer challenges. According to Clancy, a successful GTM strategy begins with customer understanding and must be supported by cross-functional collaboration that unites teams around a shared mission.

Get full insights@ https://itechseries.com/interviews/unlocking-gtm-and-growth-success-with-connor-clancy-from-workday/

To achieve this, marketing, sales, customer success, and product teams need to be in lockstep. Clancy emphasizes that each department brings valuable insights that contribute to a comprehensive view of the customer’s needs and pain points. This alignment allows for quicker adaptations, especially as customer preferences change. When teams work together, they can streamline GTM execution, ensure brand messaging consistency, and increase the speed of delivering customer solutions.

How Does Cross-Functional Collaboration Drive GTM Success?

In B2B organizations, cross-functional collaboration enables smoother execution of GTM plans, helping ensure that every part of the organization works toward the same goals. Clancy describes collaboration as the "glue" that unites different perspectives, allowing teams to make informed decisions that drive growth.

For example, marketing teams contribute customer insights, while sales teams offer feedback on lead quality and closing strategies. Customer success teams share knowledge of ongoing customer pain points, which can influence new feature rollouts or service enhancements. This communication helps the organization adjust to market shifts faster, ultimately leading to a cohesive and effective GTM strategy.

By establishing regular cross-functional meetings and shared performance metrics, companies can align their efforts, respond more quickly to market changes, and ultimately deliver a superior customer experience.

Why is the “Voice of the Field” Essential to Growth?

The voice of the field refers to the invaluable feedback from sales and support teams who interact directly with customers. These insights can reveal customer expectations, preferences, and common pain points that might otherwise go unnoticed. According to Clancy, incorporating the voice of the field into GTM strategies helps tailor solutions to meet specific needs.

For instance, feedback from sales teams might reveal customer hesitations or feature requests, while customer success teams can shed light on what keeps customers satisfied and loyal. By incorporating these insights into GTM strategies, businesses can make adjustments that resonate with customers and anticipate their needs. This information flow empowers product and marketing teams to refine offerings, ultimately resulting in improved customer acquisition and retention rates.

Explore the latest marketing and tech insights@ https://itechseries.com/gtm-library/

What Role Do Customer Incentives Play in GTM Strategies?

Customer incentives have proven to be effective tools in B2B settings, helping to attract and retain clients by adding tangible value to the buyer experience. Clancy highlights that, in the context of a GTM strategy, customer incentives can serve as powerful motivators, sparking interest and driving conversions.

B2B incentives might include value-driven offers such as extended trial periods, onboarding support, and loyalty rewards. However, it’s essential that these incentives align with customer needs and goals. For example, if a company’s customer base values cost-efficiency, a discount on upfront annual subscriptions can drive engagement. Alternatively, businesses that focus on premium customer experience might benefit from incentives like dedicated account management or exclusive access to new features.

By understanding the unique motivators for their audience, companies can use targeted incentives as part of their GTM strategies to drive engagement, retain clients, and ultimately foster growth.

How Can Companies Track the Success of Their GTM Strategies?

Clancy suggests that measuring GTM success requires a clear set of performance metrics that reflect both short- and long-term goals. Key performance indicators (KPIs) such as customer acquisition costs (CAC), lifetime value (LTV), and conversion rates can provide an accurate assessment of a strategy’s effectiveness.

Regular review of these metrics helps companies determine which aspects of the strategy need adjustment. If customer acquisition costs are too high, it may be time to revisit lead generation strategies. If conversion rates are low, it could indicate a need for more targeted marketing content or enhanced product value. By focusing on data-driven decision-making, companies can refine their GTM strategies to achieve better outcomes.

Furthermore, tracking customer satisfaction scores (CSAT) and Net Promoter Scores (NPS) provides insight into how well GTM strategies align with customer expectations. High satisfaction and promoter scores often indicate that a GTM strategy is resonating with its intended audience, setting the stage for sustained growth.

How Will GTM Strategies Evolve in the Coming Years?

Looking ahead, Clancy believes GTM strategies will become increasingly customer-centric and data-driven. As customer expectations continue to evolve, companies must prioritize agility and responsiveness in their approaches. The integration of AI and machine learning will enable businesses to gather real-time insights and make proactive adjustments, fostering more personalized customer interactions.

Get your business boost, visit now@ https://itechseries.com/contact-us/

Conclusion

In 2024, a strong GTM strategy requires a foundation built on cross-functional collaboration, an emphasis on the voice of the field, and customer-centric incentives. Connor Clancy’s insights remind us that understanding and adapting to customer needs is key to driving sustained growth. By prioritizing alignment between sales, marketing, and customer success teams, companies can refine their GTM efforts and create impactful experiences that resonate with their audience.