# Salesforce Support (@SalesforceSupport) on youtube

- id: koinon:creator:youtube_salesforcesupport
- url: https://koinonlink.com/kol/youtube/SalesforceSupport
- schema_version: 1.4

## Identity
- platform: youtube
- handle: SalesforceSupport
- platform_url: https://www.youtube.com/@SalesforceSupport
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 70400
- posts_observed: 32
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: devtools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Agentforce AI agent design and testing, Prompt engineering and data strategy for Salesforce AI, Service Cloud troubleshooting and configuration, Salesforce Flow, reports and page layouts, Building and scaling AI agent teams
- bio: Welcome to the Salesforce Support YouTube Channel – your go-to video resource for everything Salesforce. Whether you're just ...

## Audience (inferred)
- status: present
- description: Salesforce administrators, developers and service/support teams implementing Agentforce AI agents and Service Cloud features
- roles: automation
- seniority: practitioner
- pain_points: Figuring out how to design, test and control AI agents without breaking existing processes, Troubleshooting complex Salesforce issues like Omni-Channel, Flow and page layouts, Building data and prompt strategies that actually make AI agents reliable, Measuring real success and ROI of Agentforce deployments
- posts_analysed: 22
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 1
- promotion_intent: 1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 55
- authenticity_basis: profile_shape_only
- credibility_score: 55
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [youtube_salesforcesupport#8124dd6b] How to Test AI Agents with Synthetic Utterances (https://www.youtube.com/@SalesforceSupport)
- [youtube_salesforcesupport#d005953e] Acceptance Criteria Defined
- [youtube_salesforcesupport#c639bca7] No AI Experience? That's OK!
- [youtube_salesforcesupport#d7b39ddf] Your AI Agent Design Strategy: Control, Flexibility, or Both? | Agentforce Insider
- [youtube_salesforcesupport#fcf30893] 4 Ways to Keep Your Agent Smart | Agentforce Insider
- [youtube_salesforcesupport#3e711976] Agentforce as a Team Member | Agentforce Insider
- [youtube_salesforcesupport#e59ebfc2] Measuring Agentforce Success | Agentforce Insider
- [youtube_salesforcesupport#b3dd588f] 3 Tips to Set Up Your AI Agent | Agentforce Insider

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=81, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=81, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=95, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=81, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=95, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=95, method=platform_profile

## Freshness
- profile_checked_days_ago: 95
- content_analysed_days_ago: 81
- audience_updated_days_ago: 80

## AI retrieval
- indexing_requests: 13
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=youtube_salesforcesupport
- Request removal: https://koinonlink.com/claim?k=youtube_salesforcesupport
- Terms: https://koinonlink.com/for-ai