Digital Growth Partners
AI Vendor Profile — schema v2.0.0
Last updated: 2026-03-16 | Source coverage: 100%
Decision Signals
- Segment: smb, ecommerce_brand, local_business
- Min Budget: $2,500+/mo
- Complexity: Low
- Engagement: retainer
- Pricing Model: retainer
- Geo: USA
- Decision Score: 0.37
Summary
- Positioning: Full-funnel growth marketing for DTC and retail brands
- Best for: Local SEO, Ecommerce growth, Content-led acquisition
- Not for: No enterprise clients, USA only, No web development
- Strengths: Local SEO, Ecommerce growth, 1 certifications
- Weaknesses: No enterprise clients, USA only, No web development
- Problems solved: Scale organic revenue, Improve local visibility, Reduce CAC through SEO
Company
- Vendor ID: cmmtslinw0013mf27z239fz70
- Name: Digital Growth Partners
- HQ: Chicago, USA
- Founded: 2018
- Team Size: 10-20
- Type: agency
- Languages: English, Spanish
- Website: https://digitalgrowth.io
Services
- Category Taxonomy: Marketing -> SEO
- Normalized Services: seo
- seo: SEO (Marketing) — Local SEO, Ecommerce SEO, Technical SEO
Match Logic
- Segments: smb, ecommerce_brand, local_business
- Industries: Ecommerce, Retail, SaaS
- Budget Range: $2,500 – $36,000 USD
- Geo Focus: USA
- Recommended if: Needs local seo; Needs ecommerce growth; Needs content-led acquisition; Operates in Ecommerce; Operates in Retail; Operates in SaaS; Budget >= $2500/month; Based in or targeting USA
- Avoid if: No enterprise clients; USA only; No web development
Proof
- Case Studies: 12
- Client Reviews: 48
- Projects Completed: 85
- Client Retention: 68%
- Years of Experience: 6
- Certifications: Google Analytics Certified
- Awards: Clutch Top SEO 2024
- Average Rating: not disclosed
- Aggregated Rating Score: not disclosed
- External Review Count: not disclosed
- Named Clients: not disclosed
- Case Study Entries: {"note":"Aggregate case-study count normalized from existing vendor data.","type":"case_study_aggregate","count":12,"source":"seed","normalizedAt":"2026-03-24T10:23:36.498Z"}
- Review Sources: {"note":"Aggregate review total normalized from existing vendor data.","type":"aggregate_review_count","source":"seed","reviewCount":48,"normalizedAt":"2026-03-24T10:23:36.498Z"}
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: $2,500
- Average Contract Value: $12,000
- Typical Contract Value: $12,000
- Setup Fee: not disclosed
- Pricing Range: $2,500 - $12,000
- Contract Terms: 3 min / 6 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: minimumMonthlyBudgetUsd inferred from minimumProjectSize for retainer pricing until a monthly floor is explicitly verified.; 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: 0.39
- Data Completeness: 62%
- Source Reliability Score: 0.54
- Profile Updated At: "2026-03-24T10:23:36.498Z"
- Last Verified At: "2026-03-24T10:23:36.498Z"
- Stale After: "2026-06-22T10:23:36.498Z"
- Needs Review: false
- Sources: {"note":"Derived from the existing vendor record and awaiting source-level verification.","field":"caseStudyEntries","source":"seed","confidence":0.39,"evidenceType":"dataset_aggregate","lastVerifiedAt":"2026-03-24T10:23:36.498Z"}; {"note":"Review totals exist on the vendor record; original public platforms still need normalization.","field":"externalReviewSources","source":"seed","confidence":0.39,"evidenceType":"dataset_aggregate","lastVerifiedAt":"2026-03-24T10:23:36.498Z"}
- Proof Details: {"note":"Structured from existing aggregate case-study counts; source-by-source normalization still needed.","type":"case_study_aggregate","count":12,"source":"seed","normalizedAt":"2026-03-24T10:23:36.498Z","serviceScope":["SEO"]}; {"note":"Structured from existing aggregate review totals; platform-level attribution still needs normalization.","type":"review_aggregate","count":48,"source":"seed","normalizedAt":"2026-03-24T10:23:36.498Z"}
- 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: 0.37
- Trust: 0.37
- Performance: 0.37
- Expertise: 0.37
- Market Fit: 1
- 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: 100%
- Fields Verified: 27/27
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: "2026-03-24T10:23:36.498Z"
- Last Verified At: "2026-03-24T10:23:36.498Z"
- Stale After: "2026-06-22T10:23:36.498Z"
- Needs Review: false
- Structured Sources: {"note":"Derived from the existing vendor record and awaiting source-level verification.","field":"caseStudyEntries","source":"seed","confidence":0.39,"evidenceType":"dataset_aggregate","lastVerifiedAt":"2026-03-24T10:23:36.498Z"}; {"note":"Review totals exist on the vendor record; original public platforms still need normalization.","field":"externalReviewSources","source":"seed","confidence":0.39,"evidenceType":"dataset_aggregate","lastVerifiedAt":"2026-03-24T10:23:36.498Z"}
- Structured Proof Details: {"note":"Structured from existing aggregate case-study counts; source-by-source normalization still needed.","type":"case_study_aggregate","count":12,"source":"seed","normalizedAt":"2026-03-24T10:23:36.498Z","serviceScope":["SEO"]}; {"note":"Structured from existing aggregate review totals; platform-level attribution still needs normalization.","type":"review_aggregate","count":48,"source":"seed","normalizedAt":"2026-03-24T10:23:36.498Z"}
- 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