Customer Retention Archives - gettectonic.com
02Aug

Agentforce AI Platform Expands with 200+ Prebuilt Agents

Salesforce has rapidly scaled its Agentforce AI platform, now offering over 200 prebuilt AI agents—a significant leap from the handful available at its October 2024 launch. This expansion addresses a critical challenge for businesses: how to effectively deploy AI automation without extensive technical overhead. Solving the AI Implementation Challenge Enterprises are eager to adopt AI but often struggle with execution. Martin Kihn, SVP of Market Strategy at Salesforce Marketing Cloud, explains: “Customers were excited about AI’s potential but asked, ‘Can I really make this work?’ We took that feedback and built ready-to-use agents that simplify adoption.” Rather than leaving businesses to build AI solutions from scratch, Salesforce’s strategy focuses on preconfigured, customizable agents that accelerate deployment across industries. Proven Business Impact Early adopters of Agentforce are already seeing measurable results: According to Slack’s upcoming Workforce Index, AI agent adoption has surged 233% in six months, with 8,000+ Salesforce clients now using Agentforce. Adam Evans, EVP & GM of Salesforce AI, states: “Agentforce unifies AI, data, and apps into a digital labor platform—helping companies realize agentic AI’s potential today.” Agentforce 3: Scaling AI with Transparency In June 2025, Salesforce launched Agentforce 3, introducing key upgrades for enterprise-scale AI management: Kihn notes: “Most prebuilt agents are a starting point—helping customers overcome hesitation and envision AI’s possibilities.” Once businesses embrace the technology, the use cases become limitless. The Human vs. AI Agent Debate A major challenge for enterprises is how human-like AI agents should appear. Early chatbots attempted to mimic people, but Kihn warns: “Humans excel at detecting non-humans. If an AI pretends to be human, then transfers you to a real agent, it erodes trust.” Salesforce’s Approach: Clarity Over Imitation Kihn illustrates the risk: “Imagine confiding in a ‘sympathetic’ AI agent about a health issue, only to learn it’s not human. That damages trust.” What’s Next for Agentforce? With thousands of AI agents already deployed, Salesforce continues refining the platform. Kihn compares the rapid evolution to “learning to drive an F1 car while racing.” As businesses increasingly adopt AI automation, Agentforce’s library of prebuilt solutions positions Salesforce as a leader in practical, scalable AI deployment. The future? More agents, smarter workflows, and seamless enterprise AI integration. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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August 2, 2025in Agentforce Platform, Agentic AI, Data, Enterprise, Salesforce, Salesforce Marketing Cloud, Technology
CaixaBank and Salesforce Partner to Revolutionize Banking with AI-Powered Personalization
23Jun

The AI Personalization Revolution

The AI Personalization Revolution: Crafting Hyper-Relevant Experiences Beyond One-Size-Fits-All: The New Era of Customer Engagement Modern businesses are abandoning generic content in favor of AI-powered hyper-personalization—delivering unique experiences tailored to individual preferences, behaviors, and contexts. When executed ethically, this approach drives: How AI Personalization Works: The Technology Stack Core Machine Learning Techniques Technique Application Impact Collaborative Filtering “Customers like you also bought…” recommendations 30% lift in cross-sell revenue Reinforcement Learning Dynamic content optimization 45% improvement in engagement Deep Neural Networks Emotion/personality-aware customization 2X brand affinity Data Signals Powering Personalization Four Transformative Applications 1. Next-Gen Recommendation Engines 2. Ethical Dynamic Pricing 3. Conversational AI with Memory 4. Predictive Personalization The Privacy-Personalization Paradox Balancing Act: Our Framework for Ethical AI: Industry-Specific Implementations Healthcare Education Financial Services Travel Implementation Roadmap The Future of Personalization Emerging innovations will bring: “The winners in the next decade will be companies that master responsible personalization—using AI to amplify human uniqueness rather than exploit it.”— Tectonic AI Ethics Board Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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June 23, 2025in Data, Deep Learning, Technology
What is Salesforce Einstein 1
29May

The Real Impact of Salesforce Einstein

The Real Impact of Salesforce Einstein: Beyond the Checkbox Implementation When AI Moves From Feature to Force Multiplier We’ve implemented Einstein across dozens of organizations, witnessing a clear pattern: the difference between superficial adoption and transformational results comes down to one factor – how deeply predictive intelligence is woven into operational workflows. When done right, the impact manifests in tangible, measurable ways. 1. Precision Focus: Working Smarter, Not Harder The first visible sign of successful Einstein adoption is the elimination of wasted effort. Teams stop operating on guesswork and start acting on intelligence: *”Our SDR team regained 15 hours per week by focusing only on Einstein-scored hot leads.”*– VP of Sales, SaaS Company 2. Real-Time Leadership: From Rearview Mirror to Windshield Einstein transforms management from historical reporting to predictive guidance: Traditional Approach Einstein-Enabled Leadership Monthly pipeline reviews Daily deal health pulse checks Gut-based forecasting AI-weighted revenue projections Post-mortem analysis Preemptive risk intervention Example: A manufacturing firm reduced forecast variance from ±15% to ±3% using Einstein Predictive Forecasting. 3. Your Data Finally Works For You Einstein unlocks trapped value in existing CRM data: “We discovered our highest-value customers shared three unexpected behavioral patterns we’d never tracked before.”– Director of Customer Success, FinTech 4. The Silent Efficiency Revolution AI-driven automation eliminates repetitive work: Process Before → Process AfterManual lead scoring → AI-prioritized inbound leadsFirst-in case assignment → Urgency-based routingBatch-and-blast emails → Behavior-timed campaigns 5. The Trust Transformation When teams see consistent accuracy, behavior changes fundamentally: Implementation Essentials for Real Impact Data Foundation Change Management Playbook Adoption Metrics to Track The Road Ahead Organizations that fully integrate Einstein see compound benefits: Year 1: Process efficienciesYear 2: Predictive operationsYear 3: Prescriptive automation “What began as lead scoring evolved into our competitive advantage in customer retention.”– CRO, Healthcare Technology Ready to move beyond checkbox AI?Contact us today! Transform your Einstein implementation from shelfware to strategic advantage with operationalized AI. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 29, 2025in Data, Salesforce, Salesforce Einstein, Technology
Return on Sales (ROS)
20Mar

Return on Sales (ROS)

Return on Sales (ROS): Definition, Calculation & How to Improve It Want to know how efficiently your business converts sales into profit? Who doesn’t? Return on Sales (ROS) measures operational efficiency, helping you maximize earnings and identify wasteful spending. Even profitable businesses can struggle with cash flow if they overspend on marketing, R&D, or other expenses—leaving little profit despite high revenue. ROS answers: “How much profit do we keep from each dollar of sales?” Let’s break down what ROS is, how to calculate it, and strategies to improve it. What Is Return on Sales (ROS)? Return on Sales (ROS) is a profitability ratio that shows how much of your revenue turns into operating profit. Also called operating profit margin, it excludes interest and taxes, focusing purely on operational efficiency. Formula: ROS=(Operating ProfitNet Sales)×100ROS = (Net SalesOperating Profit​)×100 ROS vs. ROI vs. Net Profit Margin Metric What It Measures Key Difference ROS Profit from operations (before interest & taxes) Focuses on operational efficiency ROI (Return on Investment) Profit generated from an investment Measures effectiveness of capital spent (e.g., new equipment, marketing) Net Profit Margin Profit after all expenses (taxes, interest, etc.) Shows final profitability after all costs How to Calculate ROS Step-by-Step Formula Example Calculation Item Amount Revenue $10,000,000 Returns $1,000,000 COGS $2,000,000 Operating Expenses (SG&A) $4,000,000 Operating Profit $3,000,000 Net Sales $9,000,000 ROS = (3,000,0009,000,000)×100=∗∗33.3%∗∗ROS=(9,000,0003,000,000​)×100=∗∗33.3%∗∗ What Is a Good ROS? It depends on your industry. Here are average benchmarks: Industry Average ROS Healthcare 6-30%* Hotels 8-15% Manufacturing 6-8% Restaurants 3-7% Retail 2-5% Tech 10-20%+ *Higher for specialized services (e.g., surgical centers at 30%) Key Insight: If ROS declines as revenue grows, your costs may be rising too fast. 5 Ways to Improve Your ROS 1. Optimize Pricing Strategy 2. Reduce Costs 3. Boost Operational Efficiency 4. Improve Sales Process 5. Lower Customer Acquisition Cost (CAC) Why ROS Matters Pro Tip: Monitor ROS quarterly—if it drops, investigate rising costs or pricing issues. Summary ROS is a powerful metric for assessing how well your business turns sales into profit. By optimizing pricing, cutting costs, and improving efficiency, you can increase profitability and ensure sustainable growth. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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March 20, 2025in Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy
Smart Communications Partners with Salesforce
13Jul

CME Cloud Salesforce

Salesforce CME: The Industry-Specific Cloud for Communications, Media & Energy Transform Your Business with Tailored Industry Solutions Salesforce Communications, Media & Energy (CME) Cloud is a purpose-built industry solution that empowers organizations in these sectors to digitally transform operations, accelerate revenue, and deliver superior customer experiences. Built on the Salesforce platform, CME combines industry-specific workflows with powerful CRM capabilities to address unique challenges in: ✔ Telecommunications✔ Media & Entertainment✔ Energy & Utilities Key Capabilities of Salesforce CME 1. Configure, Price, Quote (CPQ) for Complex Offerings 2. Enterprise Product Catalog (EPC) 3. Intelligent Order Management 4. Digital Commerce Transformation 5. Contract Lifecycle Management (CLM) 6. Low-Code Customization with OmniStudio Industry-Specific Benefits Communications Providers Media Companies Energy & Utilities Implementation & Administration ✅ Managed package installation✅ Pre-configured industry data models✅ Granular permission controls✅ Detailed Salesforce documentation Typical Implementation Timeline: Why Choose Salesforce CME? “After implementing CME, we reduced service activation time from 5 days to 2 hours while improving NPS by 18 points.”— VP of Operations, Global Telecom Provider Next Steps Accelerate your digital transformation with Salesforce’s #1 industry cloud for Communications, Media & Energy. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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July 13, 2023in Data, Enterprise, Salesforce
Always Be Curious
24Aug

Always Be Curious

“Always Be Curious”: A Modern Approach to Sales The classic sales mantra “A-B-C: Always Be Closing” has become emblematic of an outdated, aggressive approach to sales that prioritized closing deals at all costs. However, as the sales landscape evolves, so does the mindset of successful sales professionals. In today’s market, an approach centered around curiosity—”Always Be Curious”—is emerging as a more effective strategy. Here’s a look at why this shift matters and how it can transform your sales approach. Is “Always Be Closing” Still Relevant? The old-school sales tactic of relentless deal-closing often sacrificed customer relationships and long-term satisfaction. However, today’s customers are more informed and connected, expecting sales reps to act as trusted advisors rather than pushy sellers. According to Salesforce’s latest State of Sales report, 87% of business buyers expect this advisory role from sales reps. In my experience, the “Always Be Closing” mindset is less effective today. Customers seek to be understood, not just sold to. They want solutions to their problems, and they value genuine relationships over a quick transaction. Thus, sales strategies must evolve to focus on understanding customer needs, building trust, and delivering value. Alternative Sales Strategies Modern sales strategies prioritize understanding customer needs and building lasting relationships over the urgency of closing a deal. Here are three approaches that align with an “Always Be Curious” mindset: From “Always Be Closing” to “Always Be Curious” Transitioning from “Always Be Closing” to “Always Be Curious” is more than a change in slogan; it’s a strategic shift that transforms how deals are won. Here are some key elements of this approach: How a CRM Can Help A Customer Relationship Management (CRM) system can be invaluable for adopting an “Always Be Curious” approach. Here’s how: Embrace Curiosity in Sales In the modern sales environment, success hinges on building relationships and truly understanding customer needs. By adopting a curious, customer-centric approach, you can create lasting partnerships that benefit both parties. Embrace this shift, and let curiosity lead you to deeper connections and more successful closes. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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August 24, 2022in Salesforce
crm analytics
25Jun

Understand Customer Service Analytics

Customer Service Analytics: Types, Use Cases & Key Benefits Customer service analytics transforms raw customer data into actionable insights—helping businesses improve support, boost retention, and drive revenue. With today’s complex customer journeys, analytics tools are essential for tracking interactions, predicting trends, and optimizing experiences. What Is Customer Service Analytics? Customer service analytics involves collecting and analyzing data from every touchpoint—support tickets, purchases, surveys, social media, and more. Companies use this data to: By leveraging analytics, businesses move from reactive problem-solving to proactive customer success strategies. 4 Key Types of Customer Service Analytics 1. Customer Experience (CX) Analytics What it does: Tracks key support metrics to assess performance and identify trends.Key metrics: Why it matters: 2. Customer Journey Analytics What it does: Maps the full customer lifecycle—from first contact to repeat purchases.Key data sources: Why it matters: 3. Customer Retention Analytics What it does: Measures loyalty and identifies churn risks.Key metrics: Why it matters: 4. Customer Engagement Analytics What it does: Tracks interactions across all channels (email, chat, social media).Key insights: Why it matters: Top 7 Customer Service Metrics to Track Metric What It Measures Why It Matters CSAT Customer satisfaction Gauges service quality First Response Time Speed of initial reply Impacts customer perception Time to Resolution Issue resolution speed Reduces frustration Customer Effort Score Ease of getting help Lower effort = higher loyalty Churn Rate Lost customers Identifies retention issues Lifetime Value (CLV) Customer profitability Guides long-term strategy Loyal Customer Rate Repeat buyers Measures brand advocacy How Analytics Improves Customer Service “Analytics turns raw data into stories—revealing relationships and driving smarter decisions.” – Susan Lahey Choosing the Right Analytics Software The best tools integrate data from all customer touchpoints, offering: Key takeaway: Don’t fear the data—embrace it. With the right analytics strategy, businesses can enhance CX, reduce churn, and boost revenue. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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June 25, 2022in Analytics Builder, Data, Google Analytics

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