Marketing & Growth
SG Consulting has automated the most time-consuming layers of modern marketing — lead generation, content creation, social distribution, outbound qualification, and creative production.
Our systems eliminate manual overhead and scale output 10x without adding headcount.
Industry Stats
Automation at marketing scale
80–90%
Manual task automation rate10x
Speed gains vs. manual processes5x
Outreach efficiency improvement5L+
Engagements generated via AI social3,000+
Hours saved per client/month (blog automation)60+
Hours saved per person/month (lead gen)+30%
B2B sales acquisition improvementCase Study Index
Marketing & Growth engagements
Case Study 1
Lead Gen Automation (LGEAUT)
B2B Sales · n8n + AI Agents
Use Case / Problem Statement
SDRs spent 60+ hours per month on lead research, enrichment, and proposal drafting instead of selling.
- Lead sourcing manual and slow
- Contact enrichment required copy-paste across tools
- Proposals took 1–2 hours per prospect
- CRM updates delayed and incomplete
- No visibility into pipeline velocity
Solution & Development
- Multi-source lead ingestion + enrichment with ICP scoring.
- Personalized outreach generation with multi-touch sequences.
- Automated proposal drafting and template selection.
- CRM sync with real-time rep notifications.
Impact & Value Creation
- 60+ hours per person per month saved
- Lead-to-proposal cycle reduced from days to minutes
- CRM hygiene improved with auto-sync
- SDRs focus on conversations and closings
Case Study 2
GBAIL — Google Business + AI Lead Scoring
B2B Lead Generation · Web Scraping + ML
Use Case / Problem Statement
Google Business is the largest local B2B directory, but most teams couldn’t harvest and prioritize leads at scale.
- No scalable listing extraction
- Lists not enriched or scored
- No prioritization for outreach
- Generic outreach without context
- List building took days per territory
Solution & Development
- Automated Google Business scraping by category and geography.
- AI enrichment with firmographic signals.
- ML lead scoring against ICP fit criteria.
- Daily pipeline refresh and CRM export.
- Personalized outreach starter lines per lead.
Impact & Value Creation
- 10x faster lead list generation
- 5x better response rates
- 80–90% manual enrichment automated
- Territories covered in minutes, not days
Case Study 3
Social Media Post Generation (SMPG)
B2B & D2C brands · Multi-platform content at scale
Use Case / Problem Statement
Content creation was inconsistent, expensive, and hard to sustain across multiple platforms.
- Inconsistent posting cadence
- Generic low-engagement content
- Platform adaptation missing
- Community sharing manual
- No performance feedback loop
Solution & Development
- AI content generation tailored per platform.
- Multiple post variants for A/B testing.
- Automated community sharing and scheduling.
- Performance feedback loop into content strategy.
Impact & Value Creation
- 5 lakh+ engagements generated
- Consistent posting cadence maintained
- Organic visibility and inbound conversions improved
- Multi-platform presence at fraction of agency cost
Case Study 4
Blog Post Automation (BlogAUT)
Content marketing · WordPress + HubSpot clients
Use Case / Problem Statement
High-quality content required 4–6 hours per post, limiting SEO velocity.
- Content volume too low for authority
- Research phase consumed most time
- SEO optimization inconsistent
- Publishing manual and slow
- Topic strategy not data-driven
Solution & Development
- Keyword intelligence and topic clustering.
- AI draft generation with SEO structure.
- Human review layer for brand alignment.
- Auto-publish to WordPress/HubSpot with schema and images.
- Performance monitoring and refresh alerts.
Impact & Value Creation
- 3,000+ hours saved per month
- 10x increase in content output
- SEO-optimized publishing at scale
- Writers focused on strategy, not production
Case Study 5
AI Lead Qualification Agent (LeadAg)
B2B businesses · Inbound lead qualification
Use Case / Problem Statement
Inbound leads cooled before humans followed up, and SDRs spent time on poor-fit prospects.
- 60–70% of inbound leads never reached a human
- No consistent qualification framework
- Meeting booking slow and manual
- No 24/7 coverage
Solution & Development
- Conversational AI qualification using BANT framework.
- Lead scoring with hot/warm/cold routing.
- Instant handoff to sales with summaries.
- Calendar booking and CRM integration.
- Always-on coverage across time zones.
Impact & Value Creation
- +30% improvement in B2B sales acquisition
- 24/7 lead qualification with zero lag
- SDR capacity freed for high-intent leads
- Lead response time reduced to seconds
Case Study 6
AI Creative Creation Agent Workflow (CreAg)
D2C brands · Marketing creative production
Use Case / Problem Statement
Creative production was the bottleneck, delaying campaigns and limiting test velocity.
- Brief-to-creative cycle took 3–5 days
- Limited creative volume constrained A/B testing
- Agency costs escalating
- No systematic feedback loop
Solution & Development
- AI copy generation per brief and platform.
- Automated visual asset creation with brand guardrails.
- Lightweight human review before launch.
- Performance feedback loop to replicate winners.
Impact & Value Creation
- 10x increase in creative volume
- 2x faster brief-to-live cycle
- Testing velocity dramatically increased
- Agency dependency reduced
Case Study 7
AI Auto Resume Collector & Parser (HrAg)
Mid-size firms · HR / People teams
Use Case / Problem Statement
HR teams spent 100+ hours per week on resume collection, parsing, and scheduling.
Solution & Development
- Multi-channel resume ingestion.
- AI resume parsing and JD matching.
- Automated shortlist generation.
- Interview scheduling automation.
- HR pipeline dashboard.
Impact & Value Creation
- 100+ hours per week saved
- Time-to-shortlist reduced to hours
- Consistent screening and reduced bias
- Candidate experience improved
Case Study 8
AI Chatbot with Long-Term Memory (CLTM)
B2B & enterprise · Adaptive AI assistants
Use Case / Problem Statement
Standard chatbots forget context between sessions, forcing users to repeat preferences and history.
Solution & Development
- Persistent memory layer with contextual recall.
- Adaptive behavior based on user preferences.
- Agentic workflow integration with privacy controls.
Impact & Value Creation
- 35% efficiency boost from retained context
- Higher user satisfaction and adoption
- More powerful automated decisioning
Case Study 9
Research Agent Automation (ResAG)
Research teams · Knowledge workers
Use Case / Problem Statement
Research teams spent more time finding information than synthesizing and acting on it.
Solution & Development
- Autonomous web research across configured topics.
- Structured summaries and shareable reports.
- Source quality filtering and deduplication.
- Searchable knowledge base with scheduled digests.
Impact & Value Creation
- 40% efficiency improvement for research teams
- Coverage expanded beyond human capacity
- Time-to-insight reduced from days to hours
Accelerators
Additional marketing accelerators
Next Step
Scale growth without scaling headcount
Tell us your channels, content volume, and lead targets. We’ll design an AIOS growth stack tuned to your funnel.
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