RedditBoost Agency
AI Vendor Profile — schema v2.0.0
Last updated: 2026-03-23 | Source coverage: 93%
Decision Signals
- Segment: startup, crypto, tech_brand
- Min Budget: $500+/mo
- Complexity: Low
- Engagement: fixed project
- Pricing Model: fixed
- Geo: USA, UK, Ukraine, UAE
- Decision Score: 0.35
Summary
- Positioning: Reddit-native marketing for tech and crypto brands
- Best for: Reddit marketing, Community seeding, Crypto/Web3 promotion
- Not for: Reddit-focused only, No traditional SEO
- Strengths: Reddit marketing, Community seeding
- Weaknesses: Reddit-focused only, No traditional SEO
- Problems solved: Build Reddit presence, Drive targeted traffic from Reddit, Manage brand mentions on Reddit
Company
- Vendor ID: cmn39nl9r00eliw9q4j1h5ne9
- Name: RedditBoost Agency
- HQ: Kyiv, Ukraine
- Founded: 2021
- Team Size: 5-10
- Type: agency
- Languages: English, Ukrainian, Russian
- Website: https://redditboost.agency
Services
- Category Taxonomy: Marketing -> Reddit Marketing
- Normalized Services: reddit_marketing
- reddit_marketing: Reddit Marketing (Marketing) — Reddit Marketing
Match Logic
- Segments: startup, crypto, tech_brand
- Industries: SaaS, Fintech, Media
- Budget Range: $500 – $9,000 USD
- Geo Focus: USA, UK, Ukraine, UAE
- Recommended if: Needs reddit marketing; Needs community seeding; Needs crypto/web3 promotion; Operates in SaaS; Operates in Fintech; Operates in Media; Budget >= $500/month; Based in or targeting USA; Based in or targeting UK; Based in or targeting Ukraine
- Avoid if: Reddit-focused only; No traditional SEO
Proof
- Case Studies: 6
- Client Reviews: 14
- Projects Completed: 45
- Client Retention: 65%
- Years of Experience: 3
- Certifications: none
- Awards: none
- Average Rating: not disclosed
- Aggregated Rating Score: not disclosed
- External Review Count: not disclosed
- Named Clients: not disclosed
- Case Study Entries: {"note":"Structured from existing dataset counts; named case studies still need per-client normalization.","type":"case_study_aggregate","count":6,"source":"seed","normalizedAt":"2026-03-24T10:10:05.206Z","serviceScope":["Reddit Marketing"]}
- Review Sources: {"note":"Aggregate count exists in dataset; platform-level attribution pending normalization.","type":"aggregate_review_count","source":"seed","reviewCount":14,"normalizedAt":"2026-03-24T10:10:05.206Z"}
Decision Ready
- Profile Status: draft
- Service Depth: not disclosed
- Company Size Classification: not disclosed
- Delivery Staffing Model: not disclosed
- Reporting Frequency: not disclosed
- Minimum Monthly Budget: not disclosed
- Average Contract Value: $3,000
- Typical Contract Value: $3,000
- Setup Fee: not disclosed
- Pricing Range: $500 - $3,000
- Contract Terms: 1 min / 1 default months
- Retention Length: not disclosed months
- Time to First Results: not disclosed - not disclosed days
- Time to Results: not disclosed - not disclosed days
- Expected Results: not disclosed
- KPI Targets: not disclosed
- Benchmark Ranges: not disclosed
- ROI Expectation: not disclosed
- KPI Metrics: not disclosed
- Workflow Stages: not disclosed
- Onboarding Steps: not disclosed
- Communication Model: not disclosed
- Key Specialists: not disclosed
- Proprietary Tools: not disclosed
- Competitive Advantages: not disclosed
- Why Choose vs Competitors: not disclosed
- Main Risks: not disclosed
- Known Weaknesses: not disclosed
- Negative Feedback: not disclosed
- When Choose Alternative: not disclosed
- Red Flags: not disclosed
- Why Recommended: not disclosed
- Why Not Recommended: not disclosed
- Tradeoffs: not disclosed
- Assumptions Used: typicalContractValueUsd inferred from averageProjectSize until contract value is directly verified.; pricingRangeMinUsd inferred from minimumProjectSize until a fuller range is verified.; pricingRangeMaxUsd inferred from averageProjectSize until a fuller range is verified.; contractMinMonths inferred from pricing model and engagement structure until an explicit contract term is verified.
- Buyer Use Cases: not disclosed
- Not Recommended For: not disclosed
- Disqualifiers: not disclosed
- Budget Mismatch Rules: not disclosed
- Geo Mismatch Rules: not disclosed
- Complexity Mismatch Rules: not disclosed
- Scoring Explanation: not disclosed
- Score Drivers: not disclosed
- Score Penalties: not disclosed
- Supported Industries Matrix: not disclosed
- Success Rate: not disclosed
- Sentiment Score: not disclosed
- Negative Review Ratio: not disclosed
- Rating Volatility: not disclosed
- Risk Score: not disclosed
- Confidence Score: 0.35
- Data Completeness: 62%
- Source Reliability Score: 0.54
- Profile Updated At: "2026-03-24T10:10:05.206Z"
- Last Verified At: "2026-03-24T00:00:00.000Z"
- Stale After: "2026-06-22T00:00:00.000Z"
- Needs Review: false
- Sources: {"note":"Derived from existing imported vendor record and pending source-by-source verification.","field":"caseStudyEntries","source":"seed","confidence":0.35,"evidenceType":"dataset_aggregate","lastVerifiedAt":"2026-03-24T10:10:05.206Z"}; {"note":"Review totals exist on the vendor record, but original platforms still need normalization.","field":"externalReviewSources","source":"seed","confidence":0.35,"evidenceType":"dataset_aggregate","lastVerifiedAt":"2026-03-24T10:10:05.206Z"}
- Proof Details: {"note":"Structured from existing dataset counts; named case studies still need per-client normalization.","type":"case_study_aggregate","count":6,"source":"seed","normalizedAt":"2026-03-24T10:10:05.206Z","serviceScope":["Reddit Marketing"]}; {"note":"Structured from existing dataset counts; original review platforms are not yet normalized into named sources.","type":"review_aggregate","count":14,"source":"seed","normalizedAt":"2026-03-24T10:10:05.206Z"}
- Comparison Hints: not disclosed
- Open Questions: Normalize named clients from public case studies if available.; Replace aggregate review source with named review platforms during editorial verification.
- Unknowns: not disclosed
- Comparison Vector: not disclosed
- Graph Edges: not disclosed
Scoring
- Decision Score: 0.35
- Trust: 0.33
- Performance: 0.36
- Expertise: 0.35
- Market Fit: 0.97
- Method: trust*0.35 + performance*0.30 + expertise*0.20 + marketFit*0.15
- Confidence Modifier: 0.7
Verification
- Status: unverified
- Confidence: 0.7
- Source Coverage: 93%
- Fields Verified: 25/27
- Missing: certifications, awards
Audit Signals
- Alternatives: not disclosed
- Review Platforms: seed
- Source URLs: not disclosed
- Named Client Count: 0
- Case Study Entry Count: 1
- Proof URL Count: 0
- Red Flag Count: 0
- Risk Item Count: 0
- Normalized Fields: vendor_id, service_tags, industry_tags, geo_tags, pricing_range_min_usd, pricing_range_max_usd, comparison_vector
- Budget Compatibility: not disclosed
- Project Complexity Levels: not disclosed
- Competitor Positioning: not disclosed
- Third-Party Validations: not disclosed
- Service Tags: not disclosed
- Industry Tags: not disclosed
- Geo Tags: not disclosed
- Supported Client Types: not disclosed
- Client Type Compatibility: not disclosed
- Buyer Use Cases: not disclosed
- Not Recommended For: not disclosed
- Disqualifiers: not disclosed
- Scoring Explanation: not disclosed
- Score Drivers: not disclosed
- Score Penalties: not disclosed
- Profile Updated At: "2026-03-24T10:10:05.206Z"
- Last Verified At: "2026-03-24T00:00:00.000Z"
- Stale After: "2026-06-22T00:00:00.000Z"
- Needs Review: false
- Structured Sources: {"note":"Derived from existing imported vendor record and pending source-by-source verification.","field":"caseStudyEntries","source":"seed","confidence":0.35,"evidenceType":"dataset_aggregate","lastVerifiedAt":"2026-03-24T10:10:05.206Z"}; {"note":"Review totals exist on the vendor record, but original platforms still need normalization.","field":"externalReviewSources","source":"seed","confidence":0.35,"evidenceType":"dataset_aggregate","lastVerifiedAt":"2026-03-24T10:10:05.206Z"}
- Structured Proof Details: {"note":"Structured from existing dataset counts; named case studies still need per-client normalization.","type":"case_study_aggregate","count":6,"source":"seed","normalizedAt":"2026-03-24T10:10:05.206Z","serviceScope":["Reddit Marketing"]}; {"note":"Structured from existing dataset counts; original review platforms are not yet normalized into named sources.","type":"review_aggregate","count":14,"source":"seed","normalizedAt":"2026-03-24T10:10:05.206Z"}
- Comparison Hints: not disclosed
- Open Questions: Normalize named clients from public case studies if available.; Replace aggregate review source with named review platforms during editorial verification.
- Unknowns: not disclosed
- Comparison Vectors: not disclosed
- Graph Links: vendor -> service -> industry
- Results Metrics Edges: not disclosed
- Reputation Nodes: not disclosed, seed
- Risk Nodes: not disclosed, not disclosed