Best future-proof CRM with AI for customer service in 2025
Customer expectations have never been higher. Here is your guide to help you choose the best CRM for customer service in 2025 and beyond.

Customer expectations have never been higher: faster replies, more accurate answers, and support that feels personal. A CRM software for customer service is no longer just a place to store tickets. In 2025, it’s your team’s AI-powered command center.
The best platforms now use artificial intelligence to cut first response times, boost First Contact Resolution (FCR), and shorten Mean Time to Resolution (MTTR). Instead of drowning in repetitive requests, support teams can focus on complex issues that truly drive loyalty.
When choosing a CRM with AI, don’t just look at features. Look for proof of time saved and customer satisfaction improved. The right system doesn’t just centralize conversations: it actively frees your team to deliver better support, faster.
✨ Here is what you'll get by reading this article :
- Which CRM platforms in 2025 deliver the biggest time savings thanks to AI.
- How AI features (routing, assisted replies, predictive analytics) improve speed and satisfaction.
- Real benchmarks from Salesforce, HubSpot, Crisp, Zoho, and others, showing measurable productivity gains.
- Reviews and testimonials from actual customers from leading CRM vendors.
- Which KPIs to track (FCR, MTTR, TTV) to prove ROI on your next CRM investment.
- A practical evaluation checklist to guide your vendor selection.
8 Best customer relationship management software (CRM) for customer support
Salesforce Service Cloud: "Salesforce Service Cloud provides powerful automation and case management, but it can feel overwhelming without dedicated admins." - AI-driven case management will autonomously resolve 80% of customer issues by 2029 (Gartner via SaaStr)
HubSpot Service Hub — "The tight integration with HubSpot CRM means we have the full history of every customer, which helps our support team respond faster and more personally." - 30% of organizations are already more than halfway toward automating front-office processes such as customer support (IDC)
Microsoft Desk 365 — "Dynamics 365 helps us route cases intelligently and leverage AI suggestions, but setup is complex if you’re not already in the Microsoft ecosystem."
Zoho Desk — "Zoho Desk is affordable and easy to use, perfect for growing teams, though reporting could be more advanced" - 78% of organizations now apply AI in at least one business function — service operations is one of the fastest-growing areas (McKinsey AI Survey)
FreshDesk — "Freshdesk’s omnichannel support makes it easy to manage chat, email, and calls in one place. The AI-powered suggestions are a big help." - 80% of companies already use AI to enhance customer experience, including contact center replies and proactive support (Gartner Study)
Crisp — "Crisp is simple to set up, and the AI automations help us handle up to 60% of our conversations without human intervention." - Agentic AI in CRM shows staff productivity gains of 17% and major drops in manual triage after adopting AI-native CRMs. (IDC Europe)
Pipedrive — "While mainly a sales CRM, Pipedrive’s shared inbox and integrations let us centralize customer emails and ensure no support request slips through."
Quick comparison table of leading support CRM on time savings and AI features
CRM Platform | Entry Price (€/month) | Pricing Model | Target Audience | AI Automations (1-5) | Estimated Time Saved (h/week) | AI Copilot (Yes/No) | Key Strengths for Customer Support | Free Trial (Yes/No) |
---|---|---|---|---|---|---|---|---|
Salesforce Service Cloud | 175 € | Per user | Large enterprises | 5 | 10 | Yes | Enterprise-grade ticketing, customizable workflows, strong SLA management | Yes |
HubSpot Service Hub | 90 € | Per user | SMBs | 4 | 8 | Yes | All-in-one support, simple setup, effective AI automation | Yes |
Desk 365 | 20 € | Per user | Enterprises | 3 | 6 | Yes | Native Microsoft ecosystem, secure ticket handling, integrated knowledge base | Yes |
Zoho Desk | 50 € | Per user | All businesses | 3 | 5 | No | Affordable multi-channel support, solid automation, context-rich customer profiles | Yes |
Freshdesk | 78 € | Per user | Growing startups | 4 | 7 | Yes | Omnichannel ticketing, AI-driven prioritization, fast agent onboarding | Yes |
Crisp | 95 € | Per workspace | SMBs, SaaS startups | 4 | 8 | Yes | Unified inbox (chat, email, social), AI for assisted replies & smart routing, real-time visitor insights | Yes |
How to read this table: Prices are listed per month and includes AI unless stated otherwise.
AI automations are rated on a scale of 1 to 5, based on task automation and support feature capabilities reviewed on platforms such as g2 or Capterra.
Estimated time savings are approximations based on typical use cases. “Not disclosed” indicates information unavailable from the source.
Crisp : Improve response time with a built-in support CRM
Crisp is a customer support platform that centralizes chat, email, SMS and social messaging in one inbox, making it ideal for SMBs and startups. Alongside features such as knowledge base, AI Copilot, and customer feedback tools, and support CRM, Crisp platform for customer support offers a unified view of customers' interactions for customer around the world.
Average customer ratings coming from multiple platform
- Capterra: 4.5/5 (140+ reviews); high usability and feature ratings, but some complaints about API complexity and billing
- G2: 4.4/5 (179 reviews); praised for collaborative features, some concerns around AI/automation depth.
- Product Hunt: Reviews say Crisp excels at ease of use, fast setup, and friendly pricing, making it a strong pick for startups and SMBs. Makers of NotionApps highlight reliable support workflows and quick intervention during onboarding; makers of Floot praise embedded live chat for responsive, human support; makers of SuperCraft note smooth in-app conversations.
- Reddit & X: Power users love co-browsing, status sharing, and multi-agent chat.
Why support teams pick Crisp as a good support desk CRM system :
- Crisp’s AI automates repetitive tasks and adapts to your message volume, whether you’re handling 10 or 1,000 conversations a day.
- Its automations optimize customer interactions by providing assisted replies for common requests and smart routing to the right agents.
- Unified inbox & multichannel support: Crisp aggregates conversations from live chat, email, SMS, WhatsApp and Messenger. Reviews highlight its unified inbox and easy collaboration between agents
- Built‑in co‑browsing & video chat: Agents can instantly view a user’s screen to troubleshoot complex flows.
- AI automations & plug‑in marketplace: Crisp supports automated chatbots, triggers, and integrations (Slack, HubSpot, Zapier). Users praise its flexible integrations and the ability to build workflows with plug‑ins
Points to consider before choosing Crisp:
- Advanced AI configuration requires manual setup, which may be challenging for beginners.
- Costs can increase as you add features or team members.
- Some users report occasional slowdowns under heavy traffic, which can impact real-time communication.
“Crisp distinguishes itself through advanced segmentation capabilities, enabling us to effectively target and personalize customer interactions. Additionally, the platform’s AI functionality, which learns directly from our website content, FAQs, knowledge base, and saved snippets, is exceptional.”
Pieter-Jan D.
💡 Pro tip: Use Crisp’s built-in CRM integration to seamlessly sync support conversations to deals into your sales software.
Service Hub : The support tool suite for Hubspot CRM customers
HubSpot Service Hub is built on HubSpot’s smart CRM, combining ticketing, live chat, knowledge base, surveys and customer feedback tools with marketing and sales data.
The Service Hub offers a unified view of customers, making it appealing for businesses already using HubSpot.
Average customer ratings coming from multiple platform
- Capterra: 4.4/5 (181+ reviews in September 2025);
- G2: 4.4/5 (2841+ reviews in September 2025);
- Product Hunt: no mentions of Hubspot Service Hub is made on Producthunt.
- Reddit & X: Several commenters noted that the client portal has rigid layouts and only basic branding options; you can’t build custom dashboards, vary permission levels or create richer views without third‑party tools. Others note that the subscription cost may be hard to justify unless your ticket volume is high.
Why support teams pick Service Hub as a good ticket desk addon for Hubspot CRM system :
- Integrated CRM + support: HubSpot unifies customer data across marketing, sales and service. Pylon notes that it’s a good fit for companies already using HubSpot for sales or marketing
- Omnichannel help desk: Service Hub combines tickets, live chat, self‑service knowledge base and surveys. The platform supports omnichannel communication, which is key for modern support
- AI‑powered tools: HubSpot’s Breeze agents provide AI customer agents, AI prospecting and AI content creation. These features help resolve queries 24/7 and automate routine tasks.
- Customer success metrics: HubSpot reports that customers who adopt its platform see a 37 % improvement in ticket closure rates and significant increases in leads and deals closed after one year.
Points to consider before choosing Service Hub
- Pricing scales by seat and tier: While the Service Hub offers a free plan for up to two users, advanced features (analytics, custom reports, AI automation) require higher‑tier subscriptions. Pylon warns that costs climb as teams grow.
- CRM‑centric approach: HubSpot’s strength is its all‑in‑one CRM. If you only need help‑desk software and don’t plan to use its marketing and sales hubs, other tools may provide deeper ticketing and automation options.
- Learning curve: Integrating Service Hub with the broader HubSpot ecosystem can take time and training, especially if your team isn’t already using HubSpot’s CRM.
"Hubspot Service is a very user friendly module to the Hubspot Ecosystem. We built a ticketing and Knowledge base system in a short amount of time. With how fast we move as a startup, the integrations with service hub has been fantastic"
Mike Q.
Salesforce Service Cloud : Enterprise-grade CRM support platform
Salesforce Service Cloud is a heavyweight customer service platform built on the same cloud as its sales CRM.
Einstein, the platform’s AI engine, automates routing, drafts responses and delivers predictive insights, while multichannel support unifies voice, chat, email and social.
Automating tasks like case routing and data entry can save reps up to 30% of their time, and AI‑powered chatbots can reduce response times by up to 50% In verified user reviews, agents praise the console shortcuts that make it possible to handle multiple chats simultaneously, 50% faster than before
Average customer ratings coming from multiple platform
- Capterra: 4.4/5 (802+ reviews in September 2025);
- G2: 4.4/5 (2841+ reviews in September 2025);
- Product Hunt: no mentions of Service Cloud is made on Producthunt.
- Reddit & X: Cost and complexity of setup/use are the two most frequent drawbacks, followed by usability issues and reliance on expert admins.
Why support teams pick Service Cloud as a good support desk CRM platform:
- Robust automation and AI: Einstein automates repetitive work (case routing, knowledge article suggestions) and provides predictive insights, freeing agents to handle complex issues
- Multichannel support: Service Cloud natively supports voice, chat, email and social, with self‑service portals and knowledge bases
- Scalability and reliability: Enterprises note its strong ticket and call management features and integrated reporting.
- Built‑in collaboration: Agents can swarm on cases, share knowledge and manage escalations within a unified console.
Points to consider before choosing Service Cloud
- Steep learning curve: Reviewers repeatedly warn that Service Cloud’s broad feature set requires significant training and onboarding New users may find the interface overwhelming.
- Customization limits & integration challenges: Despite its flexibility, certain customizations aren’t possible and integrating with non‑Salesforce tools can require workarounds.
- AI isn’t flawless: Some users felt the AI “agents” were impersonal or buggy, sometimes misdiagnosing issues or providing irrelevant suggestions.
- Pricing adds up: Plans start at $25 per user per month, but costs climb quickly as you add AI features and advanced modules. Small or mid‑tier SaaS teams may find it overkill.
- Occasional outages & reliability issues: A few reviewers mentioned service interruptions and dropped chats, which can undermine trust.
The 5 vital features you need to choose your next CRM software for customer service
Here's what your support team actually needs to save time and nail every customer interaction:
Multi-step AI automations (no-code)
Your support team isn’t drowning in tickets because they’re bad at their job.
They’re drowning because 70% of requests are the same copy-paste questions. With AI-powered available in your support system, those repetitive questions disappear, in minutes.
Pricing, delivery times, Password lost, Invoice? Gone from your queue.
No engineering tickets, no six-month rollouts.
Just a few clicks, and suddenly your agents are free to deal with customers who actually need them.
Assisted replies & real-time suggestions
Every support manager knows the nightmare: peak hours hit, queues explode, and agents freeze. AI-assisted replies act like a coach on every agent’s shoulder, suggesting the right answer at the right time, in your brand’s voice.
That’s 40% faster replies, even on day one of onboarding. Imagine cutting ramp-up time for new hires from weeks to days, while veterans finally focus on tough cases instead of copy-pasting boilerplate.
Auto-routing/intent detection & deduplication
How much time is wasted on routing tickets to the wrong person, or chasing duplicates? With AI intent detection, tickets don’t wander around your org anymore.
Where’s my order?" for ecommerce goes straight to Tier 1. ‘Billing error’ for SaaS lands with Finance.
Urgent VIP complaint? Instantly flagged and escalated.
No more human guesswork, no more wasted clicks. Just cleaner queues, happier agents, and customers who feel you read their mind.
Unified context (KB + CRM) to reduce resolution time
Nothing kills CSAT like agents scrambling through 6 tabs to answer one customer.
Unify your knowledge base and CRM, and suddenly the full story is right there: past purchases, last ticket, KB article with the fix, all on one screen.
The result? First contact resolution soars.
Agents stop apologizing for delays, and customers stop repeating themselves. It’s the kind of efficiency that turns support from cost center to loyalty driver.
4 innovative features to improve customer support
As per IDC Europe, Agentic AI in CRM shows staff productivity gains of 17% by handling routine work automatically, freeing up your team to handle complex customer issues that drive retention.
Your team saves 2-3 hours daily when common questions get instant answers, leaving more time for tricky customer situations. When a customer writes about a billing issue, the system instantly pulls up their payment history and suggests relevant solutions - no more digging through multiple screens.
Stop copying and pasting between tabs. But not only. Below are 5 innovatives features brought by innovative CRM support platform vendors that can inspire your research.
Stack sync to get to give more context to AI answers and actions
Most CRMs only pull data from the CRM itself. By syncing your entire stack (billing, product usage, logistics, support history), AI gains the full context it needs. That means the assistant doesn’t just answer “Where’s my order?”, it can check the shipping provider, refund the fee, and notify finance in one go.
It means connecting Stripe, SendCloud, or JudgeMe for example to let your AI Agent trigger the correct action.
Real-time omnichannel AI-powered topic detection to save time
AI-driven real-time omnichannel prioritization significantly enhances CRM efficiency by intelligently routing customer inquiries based on urgency and complexity.
This feature, now mainstream, leverages AI algorithms to categorize and prioritize requests, ensuring critical issues receive immediate attention while routine queries are queued.
In practice, this allows agents to focus on more complex cases, improving resolution speed and customer satisfaction.
AI-powered predictive analysis
Instead of waiting for tickets, predictive AI analyzes customer behavior (churn signals, product usage, even UTM campaign performance) and triggers proactive support. For example, if usage drops 40%, the CRM auto-opens a success case before the customer complains.
Connect data sources that empower your AI to get to know what you're doing as a business
AI is only as smart as the data it can access. When your support system ingests seamlessly your company's knowledge, the AI shifts from giving generic answers to delivering context-aware support.
Imagine having questions related to an internal workflow that AI's just can't know about. By importing custom data and training your AI upon it, you make sure your
This integration doesn’t just improve the accuracy of responses. It also unlocks:
- Personalized interactions: every reply feels like it is sent by your best support agent
- Higher customer satisfaction : AI-powered answers, either through chatbot or drafts, are faster and highly qualitative, driving high CSAT for your customers.
- Better insights: Analytics powered with Ai
📌 CSM Insight: By connecting your CRM with the systems that power your business, you transform AI from a reactive chatbot into a business-aware co-pilot. The result: faster resolutions, more trust from customers, and a support team that finally sees the bigger picture.
AI quality governance & compliance layer
As AI becomes embedded in daily support workflows, governance is no longer optional. A dedicated compliance layer ensures every AI-generated response aligns with your company’s standards for tone, accuracy, and security.
This means:
- Tone consistency: AI replies mirror your brand voice, preventing off-brand or robotic interactions that can erode trust.
- Regulatory compliance: sensitive data is automatically filtered and handled in accordance with GDPR, SOC 2, and other regional frameworks, reducing legal and reputational risk.
- Auditability & traceability: every AI decision is logged, so managers can review how responses were generated, strengthening accountability and transparency.
- Bias & accuracy monitoring: governance tools flag potential errors or inappropriate suggestions, ensuring agents can intervene before a wrong answer reaches the customer.
📌 CSM Insight: For leaders managing at scale, this compliance layer is the safety net that transforms AI from a risky experiment into a trusted co-pilot. It reassures both regulators and customers that automation won’t compromise quality, privacy, or brand integrity.
Community Notes
Across review platforms and benchmarks, one trend stands out: AI in CRMs is no longer “nice-to-have” : it’s driving measurable efficiency and reshaping team workflows. Here’s how practitioners describe their experience across leading platforms.
Freshdesk
Users consistently highlight Freshdesk’s strength in managing tickets across multiple channels — email, chat, phone, and social. Automations such as ticket assignment rules and canned responses help teams cut repetitive work and speed up first replies.
On Capterra (4.5★, 3,000+ reviews), Freshdesk is praised for its clean interface and ability to scale with growing support teams.
Some users, however, note that reporting and customization can be limited compared to enterprise-level tools.
📌 CSM insight: Freshdesk shines as a scalable, mid-market solution where omnichannel automation is a priority. It reduces noise in high-volume environments but may need integrations for advanced analytics.
Zoho Desk
Zoho Desk positions itself as a cost-effective platform with robust workflow automations. Users mention how assignment rules and SLA tracking remove manual steps and give managers more visibility.
On G2 (4.4★, 6,000+ reviews), customers highlight affordability and ease of use as major advantages.
Weaknesses reported include delays in technical support response and limitations in analytics dashboards.
📌 CSM insight: Zoho Desk is attractive for SMBs scaling their first formal support operation, where automation helps cut down repetitive triage. For mature teams, its lower cost makes it a good secondary or regional support tool.
Crisp
Crisp is praised for its simplicity and speed of setup, making it accessible even to non-technical teams. The platform’s AI scenarios and shared inbox allow users to automate up to 60% of conversations, according to G2 reviewers.
On Capterra (4.5★, 330+ reviews), customers appreciate the multichannel inbox and built-in chatbot that consolidate email, chat, and social DMs.
A few reviews note that advanced AI setup requires manual configuration, which can be a hurdle for beginners.
📌 CSM insight: Crisp is strongest for startups and SMBs that want to modernize support with AI without enterprise bloat. It balances automation with a human-centric inbox, giving managers visibility across channels while keeping agent workflows lightweight.
HubSpot Service Hub
HubSpot customers consistently praise its tight integration with HubSpot CRM, ensuring agents have the full customer history at their fingertips. AI features include conversation intelligence, auto-tagging, and assisted replies.
On G2 (4.4★, 1,000+ reviews), HubSpot Service Hub is described as easy to adopt, with automation reducing manual lead and ticket management.
However, some users mention that pricing scales quickly as team size and features grow.
📌 CSM insight: HubSpot is best for teams already in the HubSpot ecosystem who want support, marketing, and sales data in one place. It accelerates agent productivity with AI insights but requires careful budgeting as usage expands.
Salesforce Service Cloud
Salesforce Service Cloud is seen as the most powerful but also the most complex option. Customers praise robust case management, AI routing, and Einstein AI copilots, but emphasize the steep learning curve.
On TrustRadius (4.2★, 1,200+ reviews), reviewers highlight that automation and integrations are best-in-class, enabling tailored workflows across large organizations.
The main drawbacks? High cost and the need for dedicated admins/consultants for customization.
📌 CSM insight: Salesforce Service Cloud is the right fit for large enterprises with complex support structures. It delivers unparalleled depth in automation and analytics, but requires heavy investment in both licenses and skilled admins.
Overall perception from leading CRM support desks
A mini-table review trends:
Theme | Overall Perception | Examples from Reviews |
---|---|---|
Response Time | Automation reduces delays | Freshdesk automates triage; Zoho Desk speeds SLAs |
Auto-handled Volume | Efficiency improved | Crisp AI scenarios handle ~60% of conversations |
Copilot Adoption | Productivity enhanced | Salesforce Einstein copilots guide agents in real time |
Ease of Use | Strong in mid-market solutions | HubSpot integrates with CRM; Crisp praised for setup |
How to choose your next CRM with AI for customer service?
Selecting a CRM today isn’t just about managing contacts or tracking tickets — it’s about finding a platform that turns AI into measurable ROI. The right tool can cut handling times, automate repetitive work, and give agents the context they need to solve problems on the first try. The wrong one? It adds complexity, drains budget, and leaves your team juggling multiple dashboards.
For experienced Customer Success Managers, the decision comes down to more than features. You need a CRM that balances time savings, adoption speed, integration depth, and long-term scalability. In short: the system should not only fit your current workflows but actively make them more efficient.
That’s why this next section is a ROI-focused guide — designed to help you evaluate vendors not by shiny features, but by the business impact they deliver in practice.
Essential Evaluation Checklist:
- Auto-Resolution Rate (Target: 40-50% of repetitive tickets)
- Mean Time to Resolution (Benchmark: <4 hours)
- First Contact Resolution Rate (Target: >75%)
- Time to Value (Implementation <14 days)
- Agent Productivity Ramp (Target: <5 days)
- Cost per Conversation (Target: 30% reduction)
- AI Response Accuracy (Target: >90%)
- Knowledge Base Coverage (Target: >85%)
- Integration Time with Existing Stack (<3 days)
- Data Migration Success Rate (>98%)
- Support SLA Compliance (>99.5%)
- Security Compliance (SOC2,GDPR, etc.)
Weighted Scoring Matrix (Scale /5):
- Time Savings: 30% weight
- Customer Satisfaction Impact: 25%
- Cost Efficiency: 20%
- Implementation Speed: 15%
- Technical Requirements: 10%
CRM Performance Comparison (Monthly Results examples):
- Hours Saved: 120 vs 180
- Tickets Auto-Resolved: 1,200 vs 2,100
- Agent Time Recovered: 45% vs 65%
- Cost Reduction: €8,000 vs €12,500
Change Management Essentials:
- 10-Day Structured Onboarding
- AI Confidence Threshold: 85%
- Human Review for Critical Cases
- Weekly Performance Reviews
- Agent Feedback Loop
Decision Framework:
Criterion | Weight | Key Questions |
---|---|---|
Productivity | 5 | What % reduction in handle time can we expect in 30 days? |
AI Accuracy | 4 | How does the system handle edge cases? |
Scalability | 4 | Can it handle 3x volume spikes? |
ROI Speed | 5 | When will cost-per-ticket decrease? |
Training Need | 3 | What's the learning curve for new agents? |
📚 References and sources to write this Support CRM review
Bounteous. (2024, July 29). Salesforce Einstein: Revolutionizing customer service. Retrieved September 2025 from https://www.bounteous.com/insights/2024/07/29/salesforce-einstein-revolutionizing-customer-service/
Capterra. (2025). Crisp Reviews. Retrieved September 2025 from https://www.capterra.com/p/145787/Crisp/reviews/
Capterra. (2025). Dynamics 365 Customer Service Reviews. Retrieved September 2025 from https://www.capterra.com/p/148965/Microsoft-Dynamics-365/reviews
G2. (2025). Crisp Reviews. Retrieved September 2025 from https://www.g2.com/products/crisp/reviews
HubSpot. (2025). HubSpot Service Hub. Retrieved September 2025 from https://www.hubspot.com/products/service
LinkedIn. (n.d.). Master time estimation for customer service deadlines. Retrieved September 2025 from https://www.linkedin.com/advice/0/heres-how-you-can-effectively-use-time-estimation-wpi8e
NetSuite. (n.d.). How to measure and enhance the ROI of CRM. Retrieved September 2025 from https://www.netsuite.com/portal/resource/articles/crm/crm-roi.shtml
Pylon. (2025). Best customer support tools. Retrieved September 2025 from https://usepylon.com/blog/best-customer-support-tools
Research.com. (2025). Salesforce Service Cloud Review. Retrieved September 2025 from https://research.com/software/reviews/salesforce-service-cloud
Software Advice. (2025). Salesforce Service Cloud Reviews. Retrieved September 2025 from https://www.softwareadvice.com/crm/service-cloud-profile/
StartingPoint. (n.d.). Savings Calculator. Retrieved September 2025 from https://www.startingpoint.ai/roi-calculator/savings-calculator
TheCXLead. (2025). Salesforce Service Cloud Review. Retrieved September 2025 from https://thecxlead.com/tools/salesforce-service-cloud-review/
Trustpilot. (2025). Crisp Reviews. Retrieved September 2025 from https://www.trustpilot.com/review/crisp.chat
Work-Management.org. (2025). Microsoft Dynamics 365 Review. Retrieved September 2025 from https://work-management.org/accounting-software/microsoft-dynamics-365-review
Big Sur AI. (2025). Crisp Chat Review. Retrieved September 2025 from https://bigsur.ai/blog/crisp-chat-review
Dynamics 365. (2025). AI Copilot in Microsoft Dynamics 365 Customer Service. Microsoft. Retrieved September 2025 from https://dynamics.microsoft.com/en-us/customer-service/ai-copilot
Reddit. (2023). Is Service Cloud the right choice? r/salesforce. Retrieved September 2025 from https://www.reddit.com/r/salesforce/comments/1c9x07i/is_service_cloud_the_right_choice/
Reddit. (2023). Service Cloud vs Zendesk. r/salesforce. Retrieved September 2025 from https://www.reddit.com/r/salesforce/comments/13dtvgr/service_cloud_vs_zendesk/
Reddit. (2023). Transitioning from Zendesk to Service Cloud. r/salesforce. Retrieved September 2025 from https://www.reddit.com/r/salesforce/comments/1hrx08a/transitioning_from_zendesk_to_service_cloud_pros/
Reddit. (2017). Starting over with Service Cloud. r/salesforce. Retrieved September 2025 from https://www.reddit.com/r/salesforce/comments/71in5t/starting_over_with_service_cloud/
Reddit. (2023). Service Cloud or Intercom for CS? r/salesforce. Retrieved September 2025 from https://www.reddit.com/r/salesforce/comments/170m1ql/service_cloud_or_intercom_for_cs/
Reddit. (2024). HubSpot Service Hub Pro: Pros & cons. r/hubspot. Retrieved September 2025 from https://www.reddit.com/r/hubspot/comments/1fscky9/service_hub_prowhat_are_your_pros_and_cons/