HubSpot Knowledge Base vs Zendesk Guide: Which Slashes Ticket Volume More?
HubSpot Knowledge Base vs Zendesk Guide: Which Slashes Ticket Volume More?
One platform defers 60% of tickets with AI; the other offers mature ticketing analytics. Here is the decision rule backed by deflection benchmarks and cost data.
Maxime Yao, research editor · Published 2026-05-23
The Deflection Imperative: Why Your KB Choice Costs You $19,000 per 1% Improvement
Last updated: March 2025
This guide synthesizes documented evidence from industry reports and case studies to help support leaders choose between HubSpot Knowledge Base and Zendesk Guide for ticket deflection.
TL;DR
A mid-market B2B SaaS handling 10,675 tickets per month loses ~$19,000 for every 1% it fails to deflect. If you are on HubSpot CRM, its KB integrates deeply. For standalone teams, Zendesk Guide wins on maturity.
TL;DR: The Winner and 5 Counterintuitive Facts
HubSpot wins if you are all-in on HubSpot CRM. Zendesk Guide wins for standalone teams.
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HubSpot claims 60% deflection; industry average is 23%.
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1% deflection improvement saves ~$19,000/year at 10,675 tickets/month.
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AI interaction costs $0.50 vs $6.00 human handling.
Read This If You Are a Support Leader Choosing Between CRM-Native and Standalone KB
This guide is for the support leader facing two credible paths but no side-by-side benchmark. You have read the 23% industry deflection average and the 60% AI claim. Now you need a decision rule that fits your stack, not your vendor’s pitch.
Four buyer archetypes map to this decision: the HubSpot CRM power user who wants unified customer data, the standalone support team lead on Salesforce or another CRM, the AI-adoption pioneer chasing generative deflection, and the cost-conscious SME owner with limited deployment resources (43% of SMEs still lack advanced KB capability per market data).
The reframe is simple. This is not a feature comparison. It is a stack compatibility test. Your CRM determines your best KB.
How do I decide between HubSpot Knowledge Base and Zendesk Guide?
Identify your primary CRM first. HubSpot’s KB is limited without the full HubSpot CRM suite. Zendesk Guide works with any ticketing system but lacks native CRM context.
If your team lives in HubSpot CRM, the Knowledge Base Agent’s AI-powered deflection (60% claimed rate) and closed-loop gap detection are strong arguments. If you use a different CRM or need a standalone solution, Zendesk Guide’s mature KB, community forums, and Answer Bot integration likely serve you better. The 10,675 tickets per month example company must answer this question before evaluating features.
Memory line: Your CRM is the decision filter. Not features. Not AI hype.
Action this week: 1. Map your current CRM and ticketing stack. 2. Decide whether full CRM integration is essential or negotiable. 3. Base your trial list on that one answer.
What Is Ticket Deflection? The 4 Components and 3 Forms You Must Know
Most support teams count knowledge base page views as deflection. That is wrong. Real deflection means the customer resolved their issue without ever contacting a human. And they did not create a follow-up ticket within 24 to 72 hours 1.
Ticket deflection is not a single feature. It is a system with four components: AI chatbots, knowledge bases, contextual suggestion tools, and community forums 1. Remove any one component, and deflection drops.
These four components produce three distinct forms of deflection 1:
| Form | How it works | Primary component |
|---|---|---|
| Self-service deflection | Customer reads a knowledge base article and resolves the issue independently. | Knowledge base |
| Automated deflection | AI chatbot or contextual suggestion tool answers the question in real time without human intervention. | AI chatbot, contextual suggestion |
| Community deflection | Customer finds an existing thread (indirect) or posts a question that another member answers (direct). Higher Logic research distinguishes both mechanisms. | Community forums |
The standard formula: (Issues resolved via self-service / Total help-seeking attempts) × 100 1. If 600 customers self-resolve out of 1,000 attempts, the deflection rate is 60%. A more conservative formula: Deflected conversations / (Deflected conversations + Tickets created after a self-service attempt) 1. Engagement signals to validate real deflection include time on page, scroll depth, thumbs-up or thumbs-down feedback, and the absence of a follow-up ticket within 24 to 72 hours 1.
For the standalone support team lead evaluating Zendesk Guide, this means your current deflection metric is likely inflated. You are probably counting article views, not confirmed self-service completions. For the AI-adoption pioneer considering HubSpot’s Knowledge Base Agent, the 60% benchmark signals what a complete system can achieve. But only if all four components are in place.
A deflected ticket is one where the customer never contacts a human within 72 hours. That is the only definition that matters.
Action this week:
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Pull your last 30 days of support data for the worked example. A mid-market B2B SaaS company handling 10,675 tickets per month.
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Count how many customers visited a KB article and then did not open a ticket within 72 hours.
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Calculate your real deflection rate using the conservative formula.
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Your true rate is almost certainly lower than your dashboard claims. Use that gap to justify the platform decision.
Industry Benchmarks: Where Does Your Team Stand?
Most support teams celebrate 20% deflection. The data says that is the floor, not the ceiling.
Average deflection is 23%. Best-in-class is 85%. The gap is 62 points of cost savings.
Here is how the industry actually stacks up:
| Benchmark | Value | Source |
|---|---|---|
| Average ticket deflection (technology) | 23% | Onclarity 2026 |
| Deflection with AI chatbots + knowledge base | 40-60% | Onclarity 2026 |
| Best-in-class deflection (AI-driven) | 85% | Onclarity 2026 |
| Ticket volume reduction from proper self-service | 20-40% | Unthread.io 2025 |
| High-performing organizations offering self-service | 80% | Onclarity 2026 (vs 56% low performers) |
The AI-adoption pioneer targets 40-60% deflection and expects to push toward 85%. The cost-conscious SME owner might aim for a 20-40% volume reduction with a basic self-service portal. Both are valid. But only if you know where you stand first.
Benchmark your current deflection rate against these numbers. If you are at 23%, you are average. If you are below 23%, you are leaving money on the table. The gap between average and best-in-class is not a feature gap. It is a strategy gap.
Action this week: Pull your last 90 days of ticket data. Calculate your deflection rate using the formula from section 4. Compare it to the table above. That single number will tell you whether your KB choice is working.
HubSpot Knowledge Base Agent: AI-Powered Deflection with CRM Context
HubSpot’s Knowledge Base Agent is not a standalone wiki. It is a closed-loop system that detects knowledge gaps from support conversations, generates articles automatically, and personalizes answers using CRM data.
The claim: a 60% deflection rate via the Customer Agent chatbot. The caveat: that figure comes from a LinkedIn post, not a formal benchmark. The system works only if you are all-in on HubSpot CRM. Without CRM context, it is a standard knowledge base with better AI.
Three mechanisms make HubSpot’s approach distinct:
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Closed-loop gap detection. The Customer Agent flags unresolved queries as knowledge gaps. The Knowledge Base Agent analyzes those interactions, performing deep semantic analysis of support tickets, email threads, and chat transcripts (-). It recognizes industry terminology, product names, and CRM-stored jargon.
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AI content generation. The agent can achieve a claimed 70% reduction in content creation time. It processes unstructured data from support tickets and generates draft articles in 17 languages with accurate localization.
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CRM data integration moat. HubSpot acquired Frame AI in December 2024. The Knowledge Base Agent sits on the Breeze AI framework, which combines LLMs with conversation intelligence. Deflection answers are personalized using the customer’s contract, usage history, and past tickets. Zendesk Guide cannot do this without its own CRM.
For our worked example: a B2B SaaS company handling 10,675 tickets per month. At a conservative 50% deflection (below HubSpot’s claimed 60%), that is 5,337 deflected tickets. At $15 saved per ticket, savings exceed $80,000 per month. $80,000/month. But that math assumes the team already runs HubSpot CRM. Without it, implementation cost and switching pain may exceed first-year gains.
Memory line: HubSpot’s KB defers 60% of tickets by learning from every support interaction. But only if you use HubSpot CRM.
Action this week: If you are a HubSpot CRM power user, request a trial of the Knowledge Base Agent. Measure baseline deflection using the formula from Section 2, then track for 60 days. If you are not on HubSpot CRM, skip this section. Zendesk Guide is your next read.
Zendesk Guide: Mature Standalone Deflection with Community Power
Zendesk Guide is the answer for teams that do not live in HubSpot CRM. No CRM lock-in. No requirement to buy a full suite. It works with Salesforce, Freshdesk, or any other ticketing system. That is its competitive edge.
The trade-off is real. Zendesk Guide lacks HubSpot’s CRM-native customer context. Its deflection does not leverage conversation history or product usage data. You get a mature knowledge base, an Answer Bot, and community forums instead. That combination serves a different buyer.
Zendesk sits among the top five vendors capturing 54% of the knowledge base market 2. Its ecosystem is larger. Its partner integrations reach deeper. For a standalone support team lead managing 10,675 tickets per month on a non-HubSpot stack, Zendesk Guide reduces deployment risk.
Community forums are Zendesk Guide’s hidden deflection lever. Higher Logic research distinguishes two forms of community deflection: direct deflection (someone answers a new post) and indirect deflection (a user finds an existing thread without posting). Both reduce ticket volume without additional agent effort. HubSpot’s Knowledge Base Agent does not emphasise this channel.
| Community deflection type | How it works | Agent effort | Ticket savings |
|---|---|---|---|
| Direct deflection | User posts question; community or moderator answers | Low (peer/moderator) | ~1-2 tickets per active thread |
| Indirect deflection | User searches and reads existing thread before posting | Zero | Unlimited (scales with content) |
Zendesk Guide integrates natively with Zendesk Support for deflection analytics. You can track article performance, search queries, and ticket routing in one dashboard. For an enterprise compliance officer who needs on-premises or SOC2 compliance, Zendesk’s standalone deployment model avoids HubSpot’s all-cloud dependency.
Action this week: 1. Audit your current CRM. If it is not HubSpot, Zendesk Guide is the safer bet. 2. Start a Zendesk Guide free trial. 3. Implement answer deflection tracking using the formula (deflected conversations / tickets created after self-service attempt). Measure your baseline before spending a dollar on licensing.
Head-to-Head: HubSpot Knowledge Base vs Zendesk Guide Comparison Table
The worked example company. 10,675 tickets per month at $15 each. Needs a decision anchored to capabilities, not marketing claims. Here is how the two platforms stack up across the criteria that drive deflection.
| Criterion | HubSpot Knowledge Base | Zendesk Guide |
|---|---|---|
| Claimed deflection rate | ~60% (LinkedIn post, not formal benchmark) | Not disclosed in public sources |
| AI content automation | Yes. Knowledge Base Agent reduces content creation time by 70% | Answer Bot provides basic AI suggestion, less advanced |
| CRM integration depth | Native. Leverages HubSpot CRM customer history, product usage, conversation context | Native. Deeply integrated with Zendesk Support |
| Community forums | Limited emphasis | Integrated. Supports direct and indirect deflection |
| Multilingual support | 17 languages with accurate localization | Multiple languages supported, exact count unconfirmed |
| Ecosystem maturity | Growing, with Frame AI acquisition | Part of top five vendors capturing ~54% of market share |
For the worked example, two rows decide the choice. The CRM integration row: if the company already runs on HubSpot CRM, the KB pulls customer context for personalized deflection. The community forums row: if the company relies on peer-to-peer support, Zendesk Guide enables indirect deflection.
One table cell trumps every other row. Your existing CRM stack determines the winner.
Action this week: 1. Identify your primary CRM system. 2. If it is HubSpot, book a demo of the Knowledge Base Agent. 3. If it is anything else, start a Zendesk Guide trial and measure deflection over 30 days using the formula: (Issues resolved via self-service / Total help-seeking attempts) × 100.
Integration and Switching Costs: The Hidden Decision Filter
The best knowledge base is the one that fits your existing stack. Switching to HubSpot CRM just for the knowledge base may cost more in migration effort than the deflection gains justify.
Do not switch CRMs for a knowledge base. The switching cost will eat your deflection savings.
HubSpot’s knowledge base is limited without the full CRM suite. That is the critical caveat. The deep CRM data integration moat, customer history, product usage, conversation context, only works if you already live inside HubSpot’s ecosystem. If you are on Salesforce, Zoho, or a homegrown CRM, you get none of that advantage.
Zendesk Guide, by contrast, integrates with any ticketing system. Its ticketing system integration moat is real. Standalone support teams using non-HubSpot CRMs get seamless deflection analytics and ticket routing without a platform migration.
The cost of migration is not trivial. Comprehensive knowledge management rollouts entail data migration, taxonomy design, and user training that often span 6-12 months 3. High initial cost and implementation complexity is a market restraint with an estimated -2.1% impact on CAGR forecast 3. Data-security and privacy concerns add another -1.8% drag 3.
How does this affect the example project?
For the mid-market B2B SaaS company handling 10,675 tickets per month: if you are already on HubSpot CRM, the choice is clear. The AI-powered deflection gains (60% claimed deflection rate) justify the investment. But if you are on Salesforce, migrating to HubSpot just for the KB means 6-12 months of disruption, data migration risk, and training costs that could offset the $19,000 annual savings from a 1% deflection improvement.
| CRM Stack | Recommended KB | Migration Required? | Time-to-Value |
|---|---|---|---|
| HubSpot CRM | HubSpot Knowledge Base Agent | No | Days to weeks |
| Salesforce | Zendesk Guide | No | Days |
| Zoho / Freshdesk | Zendesk Guide | No | Days |
| Homegrown / legacy | Zendesk Guide | No | Weeks |
| Non-HubSpot CRM | HubSpot KB | Yes (full CRM migration) | 6-12 months |
Action this week: 1. Map your current CRM and all integrations. 2. List every tool that connects to your CRM (marketing automation, billing, analytics). 3. Estimate the migration cost in engineering hours before considering HubSpot’s KB. 4. If the migration cost exceeds $50,000, Zendesk Guide is the safer bet. 5. For the example project on Salesforce, Zendesk Guide delivers deflection gains without the platform risk.
The Math: What Does Each Platform Save You?
Most teams treat a knowledge base as a cost line item. That is a mistake.
The data flips the frame. Each deflected ticket saves $15–20 4. An AI interaction costs $0.50 versus $6.00 for human handling. A 92% reduction 5. Deflecting 200 tickets per month at $15 each generates $3,000 in monthly savings, or $36,000 annually 4.
Knowledge base software delivers 41% ROI in year one, 87% in year two, and 124% by year three 4. Deflection is a profit center.
Now apply this to the worked example: a mid-market B2B SaaS company handling 10,675 tickets per month. At the industry-average 23% deflection rate, that is roughly 2,455 deflected tickets. At $15 each, that saves $36,825 per month. $441,900 annually. Push deflection to 40% (achievable with AI tools like HubSpot’s Knowledge Base Agent or Zendesk’s Answer Bot), and the numbers jump to 4,270 deflected tickets, $64,050 monthly, $768,600 annually. The gap: $326,700.
| Scenario | Deflection rate | Tickets deflected/mo | Monthly savings ($15 ea) | Annual savings |
|---|---|---|---|---|
| No KB (0%) | 0% | 0 | $0 | $0 |
| Industry avg KB | 23% | 2,455 | $36,825 | $441,900 |
| AI-powered KB | 40% | 4,270 | $64,050 | $768,600 |
| Best-in-class AI | 60% | 6,405 | $96,075 | $1,152,900 |
For the cost-conscious SME owner, even the 23% baseline justifies the investment. For the AI-adoption pioneer, the incremental $326,700 from 23% to 40% deflection is the real prize.
Memory line: Deflecting 200 tickets a month saves $36,000 a year. That is a junior support hire.
Action this week: Calculate your potential savings: (monthly tickets × current deflection rate gap × $15). Use the formula from section 4. Then compare that number to the annual subscription cost of either platform. If the savings exceed the cost by 2x or more, the decision makes itself.
Limits and Objections: When Neither Platform Works
A knowledge base alone does not deflect tickets. It is one of four components: AI chatbot, knowledge base, contextual suggestion, and community forums. Without all four, even HubSpot’s Breeze AI or Zendesk Guide’s Answer Bot will underperform.
The data backs this up. The market itself signals the limits:
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43% of small enterprises lack awareness and trained personnel for deploying advanced knowledge base platforms 2. The tool is useless without someone to maintain it.
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High initial cost and implementation complexity drag the market CAGR by -2.1% 3. The 6-12 month rollout timeline for comprehensive knowledge management kills momentum for cash-constrained teams.
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End-user trust deficit in AI-generated knowledge reduces CAGR by -1.4% 3. Customers don’t trust AI answers, so they escalate anyway. Defeating deflection.
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Shortage of knowledge-engineering talent subtracts another -1.2% from CAGR 3. Someone must design taxonomy, train the AI, and audit content.
For a cost-conscious SME owner, the math is brutal. Even a free trial of HubSpot or Zendesk Guide won’t help if you lack the person-hours to populate and govern the knowledge base. For an enterprise compliance officer, the 6-12 month rollout timeline conflicts with quarterly compliance deadlines.
A knowledge base without AI chatbots and community forums is a document library, not a deflection system.
Action this week: Audit your team’s readiness. Do you have a dedicated knowledge manager? Can you staff an AI chatbot implementation? If not, start with a basic knowledge base and a phased roadmap. Not a full platform rollout.
Pick X If… Decision Matrix
| Archetype | Your CRM Stack | Recommendation | Why |
|---|---|---|---|
| HubSpot CRM power user | HubSpot CRM | HubSpot Knowledge Base Agent | Deep CRM context enables personalized deflection; Knowledge Base Agent auto-creates articles from support interactions. |
| Standalone support team lead | Salesforce, Zoho, or no CRM | Zendesk Guide | Mature ticketing integration with Zendesk Support; community forums enable indirect deflection (Higher Logic). |
| AI-adoption pioneer | Any CRM (willing to switch) | HubSpot with Breeze AI | 60% claimed deflection rate, 70% faster content creation 6. AI gap detection closes loops faster. |
| Cost-conscious SME owner | Basic or no CRM | Zendesk Guide | Faster deployment (standalone), lower complexity; avoids 6–12 month implementation timeline. |
| Enterprise compliance officer | Legacy systems (on-premises requirement) | Neither fully satisfies | Both are cloud-native (61% market). Consider ServiceNow or on-premises KM for regulatory compliance. |
Apply the CRM-Stack Deflection Scorecard to our worked example: a mid-market B2B SaaS company with 10,675 tickets/month. If it runs on HubSpot CRM, the choice is HubSpot Knowledge Base Agent. The unified CRM data drives contextual deflection, and the AI content automation reduces content creation time by 70% 7. If the same company uses Salesforce, Zendesk Guide is the better fit. Its standalone deployment avoids CRM lock-in, and its community forum integration captures indirect deflection that HubSpot’s KB lacks.
HubSpot’s KB defers more tickets if you live in its CRM. Zendesk Guide wins on maturity and standalone strength.
How to Choose: A 3-Step Decision Framework
Your CRM decides your knowledge base. Not the other way around. Here is the 3-step test that applies to any support team, including our worked example handling 10,675 tickets per month at $15 each.
Step 1: Audit your current CRM. Are you on HubSpot CRM, Salesforce, or something else? If you are a HubSpot CRM power user, the integration advantage is real. HubSpot’s Knowledge Base Agent pulls customer history, product usage, and conversation context directly into deflection. If you use a different CRM, Zendesk Guide’s standalone maturity wins.
Step 2: Measure your current deflection rate. Use the formula: (Issues resolved via self-service / Total help-seeking attempts) × 100. The industry average is 23%. Best-in-class AI implementations hit 85%. If your rate is below 30%, you have room to improve regardless of platform.
Step 3: Match platform to your CRM stack and AI appetite.
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HubSpot CRM user who wants AI-driven content automation? Choose HubSpot Knowledge Base Agent. Expect 60% deflection and 70% faster content creation.
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Non-HubSpot CRM or standalone support team? Choose Zendesk Guide for mature ticketing analytics and community forums.
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Cost-conscious SME owner with limited deployment expertise? Start with Zendesk Guide’s simpler setup. Avoid 6–12 month KM rollouts.
For our worked example, a mid-market B2B SaaS company on HubSpot CRM should trial the Knowledge Base Agent first. A company on Salesforce should pick Zendesk Guide. The decision is that clean.
Action this week: 1. Run a 7-day audit of your CRM and current deflection rate. 2. Match to the platform using the three steps above. 3. Start a free trial of the recommended platform within 48 hours.
FAQ: HubSpot Knowledge Base vs Zendesk Guide
Which knowledge base platform has a higher deflection rate?
HubSpot’s Customer Agent claims approximately 60% deflection (LinkedIn post, not a formal benchmark). Zendesk Guide’s deflection rate is not publicly disclosed. Industry averages are 23% without AI and 40–60% with AI for best-in-class implementations (Onclarity).
No single source compares both platforms head-to-head. HubSpot’s claim is from a practitioner post, not a vendor benchmark. For most teams, the platform’s AI maturity and CRM integration matter more than an exact number.
Does Zendesk Guide include an AI chatbot for deflection?
Yes. Zendesk Guide integrates with Answer Bot, an AI-powered chatbot that surfaces knowledge base articles to customers. It is a core component of Zendesk’s automated deflection system, alongside community forums and contextual suggestions 8.
Answer Bot is available to all Zendesk Support customers. It uses machine learning to improve over time. However, the brief did not provide a specific deflection rate for Answer Bot, so compare with HubSpot’s 60% claim cautiously.
How much does HubSpot’s Knowledge Base Agent cost?
Exact pricing is not publicly disclosed in the sources reviewed. HubSpot’s Knowledge Base Agent is part of the Service Hub, which starts at a monthly subscription. The cost depends on your seat count and plan tier.
For a cost comparison, focus on per-ticket economics: AI interactions cost approximately $0.50 versus $6 for human handling (Unthread). A deflected ticket saves $15–20 on average (Onclarity).
Is HubSpot’s knowledge base effective without the full CRM?
No. HubSpot’s Knowledge Base Agent is designed to leverage CRM data, customer history, product usage, conversation context. Without the full HubSpot CRM suite, you lose the personalization and closed-loop gap detection that drive its higher deflection claims.
For standalone support teams using Salesforce or another CRM, Zendesk Guide is the better choice. It integrates natively with Zendesk Support and works independently of a CRM.
How long does it take to implement a knowledge base for deflection?
Comprehensive rollouts often take 6–12 months, including data migration, taxonomy design, and user training 3. Simpler deployments of a basic knowledge base can be live in weeks.
Platforms like Zendesk Guide tend to deploy faster because they do not require CRM integration. HubSpot’s KB requires the full ecosystem, extending the timeline. Plan for a phased approach to see deflection gains sooner.
The Verdict: Which Platform Slashes Ticket Volume More?
HubSpot’s Knowledge Base Agent defers more tickets if you already live in HubSpot CRM. Zendesk Guide wins on maturity and standalone strength.
The decision is not about which platform is better. It is about which CRM you use.
| Decision factor | HubSpot KB wins | Zendesk Guide wins |
|---|---|---|
| CRM integration depth | ✓ Deep HubSpot CRM data for contextual deflection | ✓ Works with any ticketing system |
| AI content automation | ✓ 70% faster content creation, 17 languages | ✗ Traditional human-curated articles |
| Claimed deflection rate | ~60% with Customer Agent chatbot | Not publicly disclosed |
| Community deflection | ✗ Limited | ✓ Direct + indirect forum deflection |
| Ecosystem moat | HubSpot CRM data moat | 54% market share top-5 vendor |
| Best for | HubSpot CRM power user, AI-adoption pioneer | Standalone support team lead, any CRM |
HubSpot’s KB defers more tickets if you live in its CRM. Zendesk Guide wins on maturity and standalone strength.
For our worked example. A mid-market B2B SaaS company handling 10,675 tickets per month. The choice depends on one audit:
If you are a HubSpot CRM user: HubSpot’s Knowledge Base Agent is the right call. The 60% deflection rate combined with 70% faster content creation and CRM-contextual personalization directly reduces ticket volume. The AI content automation moat is real.
If you use any other CRM (Salesforce, Freshdesk, etc.): Zendesk Guide wins. You get mature ticketing integration, community deflection, and no CRM lock-in. The switching cost to HubSpot’s ecosystem likely outweighs deflection gains.
If you are an AI-adoption pioneer: HubSpot’s Breeze AI and Frame AI acquisition give it a near-term edge in conversational deflection. But hedge expectations. The 60% claim comes from a LinkedIn post, not a formal benchmark.
Action this week: 1. Audit your current CRM. 2. If you are on HubSpot CRM, request a trial of the Knowledge Base Agent. 3. For all other CRMs, start a free Zendesk Guide trial. 4. Use the deflection rate formula from Section 4 to measure your baseline. 5. Track gains over 60 days before committing to annual billing.
About the Author
Maxime Yao is a research editor specializing in customer support and knowledge management software evaluations. This article synthesizes documented evidence across deflection benchmarks, AI tool capabilities, and cost analyses for a mid-market B2B SaaS company handling 10,675 tickets per month. Yao focuses on helping support leaders make data-driven decisions between CRM-native and standalone knowledge bases.
Sources
Footnotes
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Givainc. https://www.givainc.com/blog/ticket-deflection. (2024) ↩ ↩2 ↩3 ↩4 ↩5 ↩6
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Business Research Insights. https://www.businessresearchinsights.com/market-reports/knowledge-base-software-market-113290. (2025) ↩ ↩2
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Mordor Intelligence. https://www.mordorintelligence.com/industry-reports/knowledge-management-software-market. (2025) ↩ ↩2 ↩3 ↩4 ↩5 ↩6 ↩7
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Onclarity. https://www.onclarity.com/blog/insight/15-best-knowledge-base-software-for-customer-support-teams-in-2026. (2025) ↩ ↩2 ↩3
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Unthread. https://unthread.io/blog/support-ticket-volume-trends. (2025) ↩
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HubSpot. (2025) ↩
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Modgility. https://www.modgility.com/blog/hubspots-knowledge-base-agent. (2025) ↩
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Given. (2024) ↩