AI-Native Marketing & Revenue Operations

AI, in production.
In three weeks.

We build the agents. We run your marketing. You measure the results.

Three working AI agents deployed into your stack in 21 days. Then a monthly partnership where our pod of AI agents and senior operators run your marketing end to end.

200+
Agents
Shipped
43
Engagements
21
Day
Delivery
11
Countries
Served
3 Agents shipped
21 Days to live
60dGuarantee
LEADS OUTBOUND CONTENT ADS CRM SUPPORT
Lead Ops
Lead Qualification Agents
Every inbound lead enriched, scored against your ICP, and booked into your calendar. Replaces 20+ hours of SDR work weekly.
See the work →
Outbound
Pipeline Generation Agents
Personalized cold sequences at scale, tuned to your ICP and market. Three to five times the reply rate of generic outbound.
See the work →
Content
Content Production Agents
On-brand LinkedIn posts, blog articles, ad variations, and newsletters — produced on schedule at five times your current volume.
See the work →
Paid Media
Ad Operations Agents
Daily ROAS across Google, Meta, and LinkedIn. Underperforming audiences killed. Budget reallocated within guardrails you set.
See the work →
CRM & Workflow
Revenue Ops Agents
HubSpot, Salesforce, and Zoho cleaned, automated, and kept that way. Lead routing, scoring, and handoffs operated by software that never misses.
See the work →
Reporting
Executive Intelligence Agents
Board-ready dashboards updated in real time. Weekly briefs auto-written. When the CFO asks a question, the answer is already in your inbox.
See the work →
ISB AlumniIndian School of Business
LinkedIn CertifiedMarketing Professional
15+ YearsRevenue operations
43 EngagementsAcross 11 countries
DPDP CompliantIndian data privacy
34 / 37Hit 3x ROI in 45 days
GDPR ReadyEuropean data privacy
India · UAE · USAGlobal delivery
Claude ArchitectCertified Professional
200+ AgentsDeployed & Operational
21-Day DeliveryFixed timeline
SOC 2 AlignedSecurity controls
ISB AlumniIndian School of Business
LinkedIn CertifiedMarketing Professional
15+ YearsRevenue operations
43 EngagementsAcross 11 countries
DPDP CompliantIndian data privacy
34 / 37Hit 3x ROI in 45 days
GDPR ReadyEuropean data privacy
India · UAE · USAGlobal delivery
Claude ArchitectCertified Professional
200+ AgentsDeployed & Operational
21-Day DeliveryFixed timeline
21 DaysDeployment to production
3 AgentsShipped in every engagement
60 DaysROI guarantee in writing
5x OutputContent velocity for clients
30% LowerCustomer acquisition cost
20+ HoursWeekly SDR time recovered
1/10th CostOf hiring the team in-house
11 CountriesActive clients today
21 DaysDeployment to production
3 AgentsShipped in every engagement
60 DaysROI guarantee in writing
5x OutputContent velocity for clients
30% LowerCustomer acquisition cost
20+ HoursWeekly SDR time recovered
1/10th CostOf hiring the team in-house
11 CountriesActive clients today
Engagements across
B2B SaaS· D2C E-commerce· Fintech· Healthcare & Health Tech· Staffing· Real Estate Tech· Marketing Services
How we work
Two phases. One partnership.
Every engagement begins with a 21-day deployment. Ten of our internal agents scan your revenue operation in parallel, identify the three highest-leverage AI agents to build for your business, and ship them into production. You own the code on day 21. Most clients continue with us on a monthly partnership. We take over marketing execution end to end — content, paid media, outbound, CRM, reporting — operated by a pod of AI agents, guided by a senior operator assigned to your account.
21
Days to production
Deployment from kickoff to three agents running live. Fixed timeline. Fixed scope.
3
Agents per deployment
Built to your stack, trained on your data, wired to your tools. You own the code.
60
Day guarantee
If the agents do not return 3x your deployment fee in 60 days, we refund or keep building.
6
Revenue functions
Leads, outbound, content, ads, CRM, and reporting — run by agents under one senior operator.
Where we sit
What you actually get, compared to the alternatives.
Capability
InsighterHub
Big 4 / McKinsey
Marketing Agency
In-house Team
What you receive
AI agents running in production
Strategy deck
Campaigns, human-only
One salary per hire
Timeline to output
21 days
12–24 weeks
60–90 days
6-month ramp per hire
AI in production
Yes, day 21
No
No
Maybe, eventually
Runs your marketing
Yes, on partnership
No
Yes, without AI
Yes, one person
Commitment
Month-to-month
Multi-phase SOW
3–6 month minimum
Severance on exit
Accountability
Senior operator, your Slack
Partner, sporadic
Account manager
Internal manager
Guarantee
60-day refund
None
None
None
Scope control
Fixed + tiered partnership
Hourly, scope creep
Retainer creep
Role expands
Year 1 total cost
Mid five figures
Mid six figures+
Low six figures
Mid-high six figures
Who does the work
AI agents + senior operator
Juniors draft, you implement
Humans, slowly
One person, everything
The difference you feel on day 22
Everyone promises AI. Most deliver PDFs. We deliver running software.
Everyone Else

You get a deck. They leave.

Twelve weeks, six figures, a 180-slide presentation that uses the word "transformation" four hundred times. Your team reads it once. Nothing ships. Meanwhile, your competitors ship something real.

DECK-FIRST NO CODE OPEN-ENDED SOW YOU IMPLEMENT
InsighterHub

You get working AI. We stay.

Three AI agents in production on day 21. A monthly partnership that runs your marketing from month two. One senior operator with your Slack. Working software, measurable outcomes, and a refund guarantee if the numbers do not move.

SOFTWARE-FIRST FIXED TIMELINE 60-DAY GUARANTEE WE OPERATE
Impact
What changes in ninety days
Measured outcomes from recent engagements. Your mileage will vary — but the direction will not.
30%
Lower customer acquisition cost
Reallocated ad spend, killed underperforming audiences, and tuned creative daily with ad-ops agents.
5x
Content output, same team
Content agents produce LinkedIn, blog, ad, and email variations on schedule, in your brand voice.
20+ hours
SDR time recovered weekly
Lead qualification agents take over enrichment, scoring, and calendar booking end to end.
3–5x
Cold outbound reply rate
Outbound agents personalize at scale against your real ICP data, not generic templates.
40–60%
Support tickets deflected
Triage agents classify, draft, and escalate. Your team only sees what actually needs them.
24 hours
Anomaly to alert
Monitoring agents flag spend leaks, attribution breaks, and pipeline stalls inside a day, not a month.
1/10th
Cost of in-house equivalent
A four-person marketing team costs more per month than an entire year of partnership. We replace that function.
11
Countries with active clients
USA, Canada, Mexico, UAE, Nigeria, India, and parts of Europe and Southeast Asia.
34 of 37
Hit 3x ROI in 45 days
The last three hit 3x between day 45 and 90. We have not issued a refund in 14 months.
Sourav Sharma
From the Founder

"I built InsighterHub because the gap between AI ambition and AI execution was costing my clients more than any competitor ever could. Decks don't compound. Working software does. Every engagement we take ends with agents in production, not a roadmap to get there someday."

Sourav Sharma
Founder, InsighterHub

Three weeks from now, you are not behind.

The AI Exposure Scan is 15 minutes. Complimentary. No pitch. You leave with a score and one specific revenue leak in your business we can name live on the call.

Request an AI Exposure Scan →

Four deployment slots per month. Two partnership slots. Accepted on a rolling basis.

Why InsighterHub Exists

B2B companies spend between $500K and $50M annually on marketing. Yet most cannot answer a fundamental question: which dollars are driving revenue, and which are being wasted?

Traditional management consulting firms charge $100K–$2M for this answer and take 8–16 weeks. Marketing agencies claim to provide it but lack analytical rigor. SaaS dashboards show data without interpretation.

InsighterHub sits in the gap - combining the strategic depth of a consulting firm, the speed of AI automation, and the execution capability of an agency. We deliver in 21 days what takes others months.

Our Approach

  • AI-Augmented, Not AI-Replaced: AI agents handle data extraction, pattern recognition, and anomaly detection. Senior principals provide strategic interpretation and business judgment.
  • Framework-Driven: Every engagement follows a structured deployment methodology — audit, build, deploy — ensuring consistent, measurable outcomes with working software on day 21.
  • Intelligence + Execution: We don't just hand you a report and walk away. InsighterHub delivers the intelligence and executes the strategy. Research, analysis, and full marketing execution under one roof. You never need another marketing specialist.
  • Independence: We don't sell third-party media or tools. Our recommendations are driven purely by what your data says, not by vendor commissions or platform incentives.
  • Global delivery: Headquartered in Chandigarh, India. Offices in Dubai, UAE and Singapore. Serving B2B companies across North America, Middle East, Southeast Asia, and Europe.
Leadership
Founded by a marketing intelligence veteran

Sourav Sharma

CEO & Founder

15+ years solving complex marketing problems across ATL and BTL, from mass media strategy to precision digital execution. A practitioner who has operated at every level of the marketing stack - from creative ideation to data infrastructure to revenue attribution.

Deep expertise in neuromarketing, behavioural marketing, and marketing analytics - understanding not just what customers do, but why they do it and how to measure the impact. Previously served as a marketing consultant to the world's largest political party, applying large-scale audience intelligence and behavioural targeting at national level.

ISB (Indian School of Business) alumni. Certified LinkedIn Marketing Professional. Has built and led marketing intelligence operations for 43+ clients across 11 countries spanning India, North America, and the Middle East.

The Vision

Every year, $145 billion in global marketing spend is wasted. Not because marketers are incompetent, but because the tools to measure marketing were built for a world with 3 channels, not 30. The infrastructure to answer "where is the money going?" simply did not exist. Until now.

InsighterHub is building that infrastructure. We are creating the global standard for marketing intelligence measurement, the same way credit scores standardized financial risk and NPS standardized customer loyalty. Our AI Exposure Audit is the beginning.

The vision is a world where no CMO has to guess, no CEO has to wonder, and no board has to ask twice. Where every marketing dollar is traceable, every decision is data-informed, and every company, regardless of size, has access to the intelligence that was previously reserved for those who could afford $500K consulting engagements.

We are not building a tool. We are not building an agency. We are building the definitive intelligence firm for the AI era, one diagnostic at a time.

By the Numbers
The InsighterHub difference
15+
Years Experience
43+
Clients Served
11
Countries
8
Service Divisions

Want to understand where your marketing dollars go?

Start with a 30-minute discovery call. No pitch. Just an honest assessment of your marketing intelligence maturity.

Request an AI Exposure Scan →
AI EXPOSURE AUDIT

Marketing Intelligence Quotient

A single, composite metric (0–100) that quantifies how well a company understands, measures, and acts on its marketing data. The starting point of every InsighterHub engagement and the primary benchmark for tracking improvement.

Computed across 7 weighted dimensions capturing the full spectrum of marketing intelligence maturity - from data infrastructure quality to strategic decision-making effectiveness. Companies typically score 25–45 on initial assessment. Top-performing B2B companies score 70+.

7
Dimensions
0–100
Composite Score
Quarterly
Tracking
25–45
Typical Start
RAM™

Revenue Attribution Matrix

Most B2B companies rely on single-touch attribution. RAM uses a three-layer approach - algorithmic modeling, incrementality testing, and qualitative validation - to produce attribution you can trust for budget decisions.

Layer 1 (Algorithmic) uses multi-touch models across all digital touchpoints. Layer 2 (Incrementality) runs holdout tests and geographic experiments. Layer 3 (Qualitative) incorporates sales feedback and buying committee dynamics. Together they eliminate the blind spots any single method creates.

3
Layers
L1
Algorithmic
L2
Incrementality
L3
Qualitative
MEI™

MarTech Efficiency Index

The average B2B company uses 12–20 marketing tools but utilizes only 42% of capabilities. MEI scores each tool on adoption rate, integration depth, cost-per-value, and overlap redundancy - then identifies exactly where you are overpaying or underusing.

MEI audits typically uncover $60K–$250K per year in recoverable tool spend through consolidation and elimination of redundant subscriptions. Also identifies integration gaps that cause data loss between tools - a common source of attribution failure.

42%
Avg. Usage
$60K+
Annual Savings
4
Dimensions
12–20
Avg. Tools
CSI™

Competitive Signal Index

CSI tracks 12 competitive signals weekly: share-of-voice changes, new channel launches, pricing movements, messaging pivots, partnership announcements, technology adoption, geographic expansion, content topic shifts, hiring trends, review sentiment, SEO position changes, and ad creative evolution.

Unlike surface-level monitoring, CSI synthesizes signals into actionable intelligence: what competitors are doing, why, and what it means for your positioning and strategy.

12
Signals
Weekly
Frequency
5–10
Competitors
AI+Human
Analysis
RIT™

Revenue Impact Tracker

Every InsighterHub recommendation is tracked for revenue impact at 30, 60, and 90 days. RIT categorizes recommendations by type (reallocation, elimination, optimization, new initiative), tracks implementation status, and measures actual vs. projected impact.

Generates a cumulative ROI scorecard that clients present to their boards. This is how InsighterHub engagements consistently demonstrate 3–5x ROI within 90 days.

30/60/90
Day Intervals
4
Rec. Types
3–5x
Typical ROI
Board
Ready Reports

See these frameworks applied to your data

Your first AI Exposure Audit is part of every deployment. Request an AI Exposure Scan to learn what it reveals.

Request an AI Exposure Scan →
D1

Marketing Intelligence & Auditing

Forensic-level analysis of your entire marketing operation - spend allocation, channel performance, attribution accuracy, tech stack efficiency, competitive position, and compliance readiness. Delivered as a 25-page AI Exposure Report with ranked agent opportunities.

Marketing Intelligence Diagnostic
21-day AI Exposure Audit. Revenue operation scan, competitive AI analysis, and three custom AI agents built and deployed into your stack.
21 DAYSAI AUDIT25-PAGE REPORT
Continuous Intelligence
Ongoing AI-powered monitoring. Monthly intelligence brief, weekly anomaly alerts, competitive tracking via AI agents, quarterly strategic review, live dashboard.
MONTHLYCOMPETITIVELIVE DASHBOARD
PE/VC Due Diligence
Commercial marketing assessment for portfolio companies and acquisition targets. Growth potential, risk identification, marketing team evaluation, value creation roadmap.
3-5 WEEKSBOARD READY
Fractional CMO
Senior marketing leadership on demand. Board-level reporting, team mentoring, strategy design, vendor evaluation, data-driven decision frameworks.
ON DEMANDSTRATEGY
D2

Performance Marketing

Paid media execution with AI-powered optimization. Every campaign tied to revenue outcomes through agent-operated measurement — not vanity metrics.

LinkedIn Advertising
Full LinkedIn Ads management: Sponsored Content, Message Ads, Lead Gen Forms, Conversation Ads. Strategy, audience architecture, creative iteration, and agent-powered pipeline attribution.
LINKEDINAI-OPSLEAD GEN
Google Ads (B2B)
Search, Display, YouTube, Performance Max built for B2B buying cycles. CRM-integrated conversion tracking and offline event sync.
GOOGLECRM SYNC
ABM Advertising
Account-based campaigns across LinkedIn, Google, and programmatic. Per-account creative, engagement scoring, and pipeline attribution.
ABMMULTI-CHANNEL
Full-Stack Paid Media
All paid channels as a unified system. Unified attribution, weekly optimization, monthly strategic review, quarterly budget rebalancing.
UNIFIEDALL CHANNELS
D3

Content & Creative

Content strategy and production with revenue accountability. Every piece mapped to pipeline influence.

Content Strategy
Editorial calendar, pillar topic architecture, SEO keyword mapping, content gap analysis, content-to-pipeline attribution.
STRATEGYSEOPIPELINE
Thought Leadership
Executive ghostwriting: LinkedIn posts, industry articles, conference presentations, bylines. In your voice, optimized for B2B influence.
GHOSTWRITINGEXECUTIVE
Case Studies & Collateral
Revenue-impact case studies, whitepapers, one-pagers, and sales enablement collateral.
CASE STUDIESSALES
Video Content
LinkedIn video scripts, animated explainers, webinar content for B2B audiences.
VIDEOB2B
D4

Outbound & Pipeline

AI-powered outbound prospecting built on precise ICP targeting and intent signals.

ICP & TAM Definition
Ideal Customer Profile using firmographic, technographic, and behavioral signals. TAM list building with verified contact data and intent scoring.
ICPTAMINTENT
Cold Email Outreach
AI-personalized sequences at scale. Domain warming, deliverability optimization, A/B testing, CRM sync.
EMAILAISCALE
LinkedIn Outreach
Personalized connection requests and message sequences. 100–300 connections, 5–10 meetings per month.
LINKEDINMEETINGS
Meeting Qualification
Full outreach to booked meeting. Multi-channel sequencing, BANT qualification, scheduling, CRM logging.
BANTFULL STACK
D5

Social Media & Brand

B2B social media focused on LinkedIn - company pages, executive profiles, newsletters, and advocacy.

LinkedIn Company Page
3–5 posts/week, engagement management, community building, analytics, content calendar.
LINKEDINCOMPANY
Executive Brand Building
Personal brand for founders and C-suite. Posts in their voice, network growth, influence measurement.
EXECUTIVEPERSONAL BRAND
LinkedIn Newsletter
Newsletter strategy, subscriber growth, content production, performance analytics.
NEWSLETTERGROWTH
Employee Advocacy
10–20 ambassadors, content templates, sharing workflows, amplification tracking.
ADVOCACYAMPLIFICATION
D6

RevOps & Data Infrastructure

CRM optimization, marketing automation, attribution infrastructure, and unified data pipelines.

CRM Audit & Optimization
HubSpot/Salesforce health check: data hygiene, workflow efficiency, reporting accuracy, training.
CRMHUBSPOTSALESFORCE
Marketing Automation
Email nurture architecture, lead scoring, lifecycle automation, MQL/SQL definitions, handoff workflows.
AUTOMATIONLEAD SCORING
Attribution Infrastructure
Multi-touch attribution via AI agents. CRM integration, UTM architecture, conversion tracking, offline sync.
AI-OPSMULTI-TOUCH
Data Pipeline Architecture
Unified data layer. Schema normalization, automated sync, data quality monitoring, real-time reporting.
DATA PIPELINEUNIFIED
D7

AI Governance & Policy

Navigate AI risk in marketing systems - bias auditing, compliance with India's AI Governance Guidelines and global requirements.

AI Risk Assessment
Risk classification of marketing AI. Gap analysis against India's 7 Sutras and EU AI Act.
AI RISK7 SUTRAS
AI Governance Policy Design
Custom governance policy, accountability framework, model documentation, incident response.
POLICYACCOUNTABILITY
AI Bias & Fairness Audit
Systematic bias testing: targeting algorithms, personalization engines, predictive models. Fairness metrics and remediation.
BIASFAIRNESS
Government & Enterprise Advisory
AI policy framework for government and large enterprises. Implementation roadmaps, capacity building.
GOVERNMENTENTERPRISE
D8

Cybersecurity Advisory

Marketing data security and DPDPA compliance. Scoped specifically to marketing infrastructure.

Marketing Data Security Audit
PII flow mapping, access control assessment, encryption audit, vendor security evaluation, data residency review.
PIIACCESS CONTROL
DPDPA Compliance
End-to-end DPDPA compliance: consent management, processing records, DSR workflows, privacy policy, training.
DPDPACONSENT
Incident Response Planning
Breach playbook, communication templates, regulatory notification workflows, tabletop exercises.
BREACHPLAYBOOK
Ongoing Security Monitoring
Monthly vulnerability assessment, quarterly access reviews, compliance dashboard, continuous monitoring.
MONITORINGCONTINUOUS

Not sure which services you need?

Start with a discovery call. We'll map your challenges to the right engagement.

Request an AI Exposure Scan →

How Our AI Works

Each agent is built for a specific analytical function. They work in parallel, processing data from all connected platforms simultaneously.

The agents are autonomous but supervised. They extract, identify, flag, and draft - but every strategic conclusion is validated by a senior principal before it reaches you.

Why AI + Human

AI excels at processing volume, detecting patterns, and monitoring continuously. Marketing strategy requires business context, industry knowledge, and judgment about competitive dynamics that AI alone cannot provide.

This is why we deliver consulting-grade intelligence in 21 days at 1/10th the cost - AI does in hours what a team of analysts takes weeks to accomplish.

CREW 01 Intelligence & Auditing

The core diagnostic team. 10 agents performing the full marketing intelligence audit.

AGENT 01
Data Extraction
Connects platforms, normalizes schemas, builds unified dataset.
AGENT 02
Forensics
Finds spend gaps, misattribution, budget leakage.
AGENT 03
Competitive Intel
Monitors ad spend, content, messaging, hiring.
AGENT 04
Compliance
DPDPA, GDPR gap scanning, privacy risk flags.
AGENT 05
Tech Stack
Tool adoption, overlap, integration gaps. Efficiency scoring.
AGENT 06
Revenue Attribution
Revenue attribution. Connects spend to revenue.
AGENT 07
Content Analyst
Messaging effectiveness, content gaps, SEO opportunity.
AGENT 08
Anomaly Watchdog
Real-time waste detection within 24 hours.
AGENT 09
Report Generator
Compiles 60–80 page executive deliverables.
AGENT 10
Strategic Advisor
Cross-agent synthesis into strategic recommendations.
CREW 02 Performance Marketing

Campaign execution and optimization across paid channels.

AGENT 11
Campaign Architect
Campaign structure, audiences, budget allocation.
AGENT 12
Ad Creative
Copy variations, messaging tests, CTA optimization.
AGENT 13
Bid Optimizer
Real-time bids, budget pacing, ROAS optimization.
AGENT 14
ABM Orchestrator
Account targeting, engagement scoring, pipeline.
AGENT 15
Landing Page Optimizer
CRO, A/B testing, page speed audit.
CREW 03 Content & Creative

Content strategy, production, and measurement.

AGENT 16
Content Strategist
Topic mapping, editorial calendar, gap analysis.
AGENT 17
Content Writer
Articles, whitepapers, case study drafts.
AGENT 18
Ghostwriter
Executive LinkedIn posts, bylines, talk outlines.
AGENT 19
Creative Director
Visual guidelines, design briefs, brand consistency.
AGENT 20
Video Strategist
Scripts, format selection, distribution planning.
CREW 04 Outbound & Pipeline

Prospecting, personalized outreach, and meeting qualification.

AGENT 21
ICP Builder
Firmographic profiling, TAM lists, enrichment.
AGENT 22
Email Sequence
AI-personalized cold email at scale.
AGENT 23
LinkedIn Outreach
Connections, InMail, engagement tracking.
AGENT 24
Intent Monitor
Buying signals, topic surges, account scoring.
AGENT 25
Meeting Qualifier
BANT qualification, scheduling, CRM logging.
CREW 05–06 Social & Operations

Social media and data infrastructure backbone.

AGENT 26
Social Calendar
Scheduling, content themes, optimal timing.
AGENT 27
Engagement
Comments, DMs, community alerts.
AGENT 28
Employee Advocacy
Distribution, ambassador tracking, reach.
AGENT 29
CRM Health
Data hygiene, deduplication, workflows.
AGENT 30
Data Pipeline
Schema normalization, sync, data quality.

See our AI agents analyze your data

The 21-day diagnostic deploys 10+ agents simultaneously. Book a call to learn what they'd find.

Request an AI Exposure Scan →
01
Discovery
Day 1–3
Deep-dive into your business. API access. Initial data extraction.
02
AI Sprint
Day 4–10
10+ agents analyze in parallel: forensics, competition, compliance, attribution.
03
Synthesis
Day 11–15
Strategic Advisor synthesizes. Principal adds domain judgment.
04
Delivery
Day 16–21
Final delivery. 25-page report. Three agents live. Team trained.

Phase 1: Discovery & Setup

Day 1–3

90-minute strategic discovery session. Secure data connections. Scope confirmation.

  • Business context interview with marketing and revenue leadership
  • API access for all marketing platforms (ads, CRM, analytics, email, social)
  • Initial data extraction and schema mapping
  • Scope confirmation with defined deliverables and timeline

Phase 2: AI Analysis Sprint

Day 4–10

10+ agents working in parallel - processing what would take a human team 6–8 weeks.

  • Forensics agent audits every dollar of spend across all channels
  • Attribution agent builds revenue maps across channels
  • Tech Stack agent scores efficiency on every tool
  • Competitive agent builds competitive profile on 5–10 competitors
  • Compliance agent scans for DPDPA, GDPR gaps
  • Anomaly Watchdog flags immediate waste and risk

Phase 3: Strategic Synthesis

Day 11–15

AI analysis becomes strategic intelligence. Senior principal adds business context and judgment.

  • Cross-agent synthesis identifying patterns AI alone cannot interpret
  • AI readiness scoring across all dimensions
  • Recommendation development with projected revenue impact
  • Priority roadmap: what to fix first, with expected ROI at each stage

Phase 4: Delivery & Activation

Day 16–21

Comprehensive deliverable package for executive decision-making and operational execution.

  • 60–80 page executive intelligence report
  • 45-minute executive presentation
  • Live performance dashboard
  • AI Exposure Score with dimension breakdown
  • 90-day implementation roadmap
  • Revenue impact tracking setup for 60-day measurement

21 days from kickoff to full clarity

Book a discovery call to scope your diagnostic. We'll tell you exactly what we'll analyze and what you'll receive.

Request an AI Exposure Scan →
Division 7 - AI Governance & Policy
Intelligent Growth
India's AI Governance Guidelines (MeitY, 7 Sutras) are shaping how companies deploy marketing AI. We navigate this landscape - from risk assessment to full policy implementation.
  • AI risk classification for marketing automation and targeting
  • Gap analysis against India's 7 Sutras and EU AI Act
  • Custom AI governance policy with accountability frameworks
  • Marketing AI bias testing with fairness metrics and remediation
  • Model documentation, audit trails, incident response
  • Government AI policy advisory and regulatory sandbox support
Division 8 - Cybersecurity Advisory
Secure Infrastructure
Marketing tools collect and share personal data across dozens of platforms. Our diagnostics routinely uncover security vulnerabilities. This division provides structured remediation.
  • PII flow mapping across all marketing platforms
  • Access control and encryption audit for marketing data
  • End-to-end DPDPA compliance for marketing operations
  • Third-party vendor security assessment for MarTech
  • Breach incident response playbooks and tabletop exercises
  • Ongoing compliance monitoring with quarterly reviews
The Market
$5.56B and growing at 18% CAGR
$5.56B
India Cybersecurity (2025)
$15.06B
Projected 2031
18.07%
CAGR
$1,900Cr
Gov. Cyber Budget

Is your marketing AI governed? Is your data secure?

Most companies discover the answer is no. Book a call to discuss a governance or security assessment.

Request an AI Exposure Scan →
30%
Lower customer acquisition cost
Ad-ops agents reallocate spend daily, kill underperforming audiences, and tune creative against real ROAS data.
5x
Content output, same team
Content agents produce LinkedIn posts, blog articles, ad variations, and newsletters on schedule, in your brand voice.
20+ hours
SDR time recovered weekly
Lead qualification agents take over enrichment, scoring, and calendar booking end to end. Your SDRs focus on closing.
3–5x
Cold outbound reply rate
Outbound personalization agents tailor every sequence to your ICP data. Not templates — real personalization at scale.
40–60%
Support tickets deflected
Triage agents classify, draft responses, and escalate. Your team only touches what actually needs a human.
24 hours
Anomaly to alert
Monitoring agents flag spend leaks, attribution breaks, and pipeline stalls inside a day — not at month-end.
1/10th
Cost of in-house equivalent
A four-person marketing team runs $60K+ per month fully loaded. A partnership with us replaces that function.
34 of 37
Hit 3x ROI in 45 days
The remaining three hit 3x between day 45 and 90. We have not issued a refund in 14 months.
21 Days
Deployment to production
Three AI agents built, deployed, and your team trained. Fixed timeline. Fixed scope. Guaranteed outcomes.
How We Measure
The accountability framework

Day 21 — Deployment Complete

Three agents in production. Your team trained. Runbooks delivered. 60-day measurement plan installed.

Day 60 — Guarantee Check

Agent ROI measured against 3x threshold. Dashboard reviewed. Partnership decision made.

Day 90 — Full Scorecard

Cumulative impact report. Board-ready summary. Additional agent opportunities identified for next quarter.

Recent Engagements
What the numbers look like in practice

D2C Skincare · $12M Revenue

Three agents shipped: audience pruning, content production, review response. Day 47: $94,000 recovered in paid spend, content velocity up 5.2x, CSAT up 11 points. Month 4 on partnership: CAC down 34%, no in-house marketer hired.

B2B SaaS · $7M ARR · USA + Canada

Three agents: lead enrichment, outbound personalization, inbound qualification. Day 60: inbound conversion 4% to 9.3%, $312K attributable pipeline. Replaced a planned four-person marketing hire. Saved ~$180K annualized.

Fintech · Series A · Nigeria + Kenya

Three agents: KYC pre-review, multilingual support triage, churn prediction. Activation time from six days to 18 hours, support throughput doubled. User acquisition cost down 41%. Company closed Series B.

See what three agents could do for your revenue operation

The AI Exposure Scan is 15 minutes. We score your AI readiness and name one specific revenue leak — live on the call.

Request an AI Exposure Scan →
For Marketing & Growth Leaders
The people who own the budget

CMOs & VP Marketing

You manage $500K-$10M in marketing spend but cannot connect it to revenue with confidence. Board asks for CAC, payback period, and attribution - you need answers, not dashboards.

Common trigger: Board meeting in 30 days, need clean marketing ROI metrics

Heads of Growth

You are scaling channels but ROAS is declining. Performance plateaus but spend keeps increasing. You need to know which channels are actually driving qualified pipeline vs. vanity metrics.

Common trigger: CAC trending up despite increased spend

Demand Generation Leaders

Running Google, Meta, LinkedIn, content, events, ABM - across 10+ tools. Multi-touch attribution is broken. You know some channels waste money but cannot prove which ones.

Common trigger: 10+ tools, zero unified view of performance

Marketing Operations & RevOps

You own the marketing data stack but it is fragmented. CRM data does not match marketing data. Revenue attribution requires manual spreadsheets every month. You need automation and truth.

Common trigger: 20+ hours/month on manual reporting

CEOs & Founders

Marketing is your second-largest expense after people. You approved the budget but cannot tell if it is working. You want the same rigor applied to marketing that you apply to product and engineering.

Common trigger: "We spend $1M on marketing. What do we get?"

PE/VC Investors

Evaluating a portfolio company's marketing efficiency before or after investment. You need independent, data-driven assessment of marketing maturity, not the company's self-reported metrics.

Common trigger: Due diligence on marketing efficiency pre-investment
Industries We Serve
Deep expertise across high-growth verticals

B2B SaaS

Series A through IPO. PLG and enterprise motion. Multi-touch attribution across long sales cycles. We understand ARR, NDR, CAC payback, and how marketing connects to each.

D2C E-Commerce

Performance marketing at scale. Omnichannel attribution across Google, Meta, Instagram, marketplaces. ROAS optimization and creative performance forensics.

Fintech & Financial Services

Regulated marketing with compliance constraints. Complex buyer journeys. Attribution across digital and relationship-driven channels.

EdTech

Long student decision cycles. Multi-channel acquisition across YouTube, Google, Instagram, and referral. Lifetime value modeling and cohort attribution.

Marketing Agencies

White-label intelligence layer for your clients. Add AI agent deployment, attribution audits, and strategic reporting to your service offering. We do the analysis, you own the relationship.

Enterprise & Mid-Market

$10M-$60M revenue. 8-20 marketing tools. No dedicated analytics function. The segment where marketing intelligence creates the highest leverage.

Not sure if we are the right fit?

If you spend $100K+ on marketing annually and cannot trace every dollar to revenue, we can help. Book a call - we will tell you honestly if a diagnostic makes sense.

Request an AI Exposure Scan
Diagnostic Instruments
5 proprietary frameworks. One intelligence standard.
Framework 01

AI Exposure Audit

A 25-page forensic report scoring your AI readiness across 5 dimensions. Maps where competitors are using AI against you. Names the three highest-value agent opportunities — with dollar amounts. Every engagement starts here.

7 Dimensions0-100 ScoreBenchmarkedDiagnostic Entry Point
Framework 02

Revenue Attribution Engine

3-layer revenue attribution model that maps every marketing dollar to pipeline and revenue. Goes beyond last-click to show true marketing influence across the full buyer journey.

3-Layer ModelMulti-TouchDollar-LevelPipeline Mapping
Framework 03

MEI (MarTech Efficiency Index)

Systematic audit of your marketing technology stack. Identifies tool overlap, underutilization, integration gaps, and license waste. Typical finding: 30-45% of MarTech capabilities go unused.

Stack AuditUtilization ScoreCost OptimizationIntegration Map
Framework 04

CSI (Competitive Strategy Intelligence)

Systematic tracking and analysis of competitor marketing activity. Ad spend estimates, channel mix, messaging analysis, and positioning gaps. Updated weekly during engagements.

Competitor TrackingSpend EstimatesGap AnalysisWeekly Updates
Framework 05

RIT (Revenue Impact Tracker)

Ongoing measurement system that connects marketing activities to revenue outcomes in real-time. Deployed post-diagnostic to track implementation impact and maintain intelligence continuity.

Real-TimeRevenue LinkedContinuousAlert System
AI Engine

30 Specialized AI Agents

Purpose-built AI agents organized in 6 crews that work in parallel during every diagnostic. From data extraction to anomaly detection to competitive monitoring - each agent has a specific mandate.

6 Crews30 AgentsHit 3x ROI in 45 days21-Day Cycle
Predict Engine

SOC 2 Aligned (Swarm AI)

Thousands of AI agents simulate your market, customers, and competitors in a digital sandbox. Test scenarios, forecast outcomes, and rehearse strategic decisions before committing budget. Powered by behavioral simulation, not just statistical modeling.

Swarm IntelligenceBehavioral SimulationScenario Testing72-Hour Delivery
Intelligence Outputs
What you receive

AI Exposure Report

25-page forensic analysis with AI opportunity ranking, dollar-sized agent recommendations, and competitive AI scan. Board-ready.

Revenue Attribution Map

Visual mapping of every marketing touchpoint to pipeline and closed revenue. Shows which channels, campaigns, and content actually drive business outcomes.

MarTech Efficiency Audit

Complete inventory of your marketing technology stack with utilization scores, redundancy identification, and optimization recommendations with projected savings.

Competitive Intelligence Brief

Detailed analysis of competitor marketing activity, estimated spend, channel strategy, and positioning vulnerabilities you can exploit.

90-Day Optimization Roadmap

Prioritized action plan with specific budget reallocation recommendations, expected impact projections, and implementation timeline.

Executive Presentation

Board-ready summary of findings, strategic implications, and recommended actions. Designed to be presented directly to leadership, investors, or board members.

See our frameworks in action on your data

Every framework is demonstrated during the diagnostic. Book a discovery call to learn what a 21-day engagement would uncover for your business.

Request an AI Exposure Scan
In Development
Case Studies
Coming Soon
We are currently documenting detailed case studies from our diagnostic engagements. Real data. Real outcomes. Real companies. Check back soon.
Back to Home
Powered by Swarm AI
Not statistical forecasting.
Behavioral simulation at scale.
Traditional prediction uses past numbers to guess future numbers. InsighterHub's Predictive Engine spawns thousands of AI agents that think, argue, and decide like real humans - then watches what emerges. The result: predictions grounded in behavioral reality, not just trend lines.
Step 01

You Define the Question

Tell us what you want to predict. Upload your business data, market context, and competitive landscape. Our system builds a knowledge graph of your reality.

Step 02

AI Agents Simulate

Hundreds of AI agents with unique personas - your customers, competitors, market forces - interact in a digital sandbox. They argue, persuade, and make decisions. Patterns emerge.

Step 03

Prediction Report

You receive a detailed prediction report with probability scores, scenario analysis, risk factors, and recommended actions. Not a guess. A simulated rehearsal of your future.

What You Can Predict
Business predictions that actually matter

Revenue Revenue Forecasting

Predict quarterly revenue under different marketing spend scenarios. Test: what happens if we increase Google Ads by 40% and cut Meta by 20%?

Market Market Response Simulation

Simulate how your target market will respond to a new pricing strategy, product launch, or positioning change before you commit budget.

Churn Customer Churn Prediction

Identify which customer segments are likely to churn in the next 90 days and what intervention would prevent it. Probability scored by segment.

CAC CAC Trajectory Modeling

Predict how your customer acquisition cost will change over the next 6-12 months given current spend patterns and competitive dynamics.

Compete Competitive Move Analysis

Simulate how competitors are likely to respond to your strategic moves. What happens if you enter their market? What if they enter yours?

ROI Campaign ROI Prediction

Before spending a dollar, simulate the expected return of a campaign across channels. Test creative angles, audiences, and budget allocations.

Growth Growth Scenario Planning

Model 3 growth scenarios (conservative, base, aggressive) with specific marketing investment levels and predicted outcomes for each.

Risk Marketing Risk Assessment

Identify the biggest risks in your current marketing strategy. What single point of failure would hurt most? How likely is it? What is the contingency?

Get Your Prediction
Fill the brief. We simulate your future.
Answer these questions as thoroughly as possible. The more context you provide, the more accurate and actionable your prediction report will be. We respond within 72 hours with your simulation results.
Section 1: Your Business Context
Section 2: The Prediction Question
Section 3: Current Marketing Stack & Channels
Section 4: Marketing Maturity (Auto-generates your AI Readiness Score)
We don't / gut feel
Last-touch only
Multi-touch model
Multi-touch + incrementality
1-4 tools
5-10 tools
11-15 tools
16+ tools
Never
Annually
Quarterly
Ongoing
No tracking
Ad hoc / manual
Some tools
Systematic weekly
Haven't started
Basic consent only
Partial compliance
Fully compliant
Manual spreadsheets
Platform-native
Centralized dashboard
Unified + automated alerts
Historical / same as last year
Channel metrics
Data-driven attribution
Predictive modeling
Section 5: Competitive & Market Context
Section 6: Variables You Want to Test
Section 7: Data Availability
Your data is 100% confidential. No sharing, no third parties. Used only for your prediction simulation.

Deploying AI Agents...

Our swarm intelligence is analyzing your business context

FORENSIC-01 ATTRIB-04 CSI-03 STACK-02 ANOMALY-06 PREDICT-08 ATTRIB-05 MEI-07

Not sure what to predict? Start with a diagnostic.

The 21-day AI Exposure Audit gives you the data foundation for accurate predictions. Most clients start there, then unlock ongoing AI-powered strategic planning.

Request an AI Exposure Scan
Your information is confidential. No spam, no mailing lists.

Request Received

We will respond within 24 hours to schedule your 30-minute discovery call.

What Happens on the Call

  • Your Context: We learn about your business, revenue goals, marketing structure, and challenges
  • Quick Assessment: Initial estimate of your AI readiness and biggest gaps
  • Fit Check: Honest determination of whether InsighterHub is right for you
  • Scope & Timeline: If there is a fit, we outline the engagement, deliverables, and 21-day timeline

Contact Information

Sourav Sharma
CEO & Founder, InsighterHub

Email: sourav@insighterhub.com

Chandigarh, India - Dubai, UAE - Singapore
Serving B2B companies globally

Ideal Fit
InsighterHub works best for these companies

B2B Companies

Revenue between $1M - $60M. Marketing spend $60K - $6M/year. 3 - 20 person marketing team. 8 - 20 tools. No dedicated analytics function.

Priority Verticals

B2B SaaS, D2C E-Commerce, Fintech, EdTech, and Marketing Agencies looking to add intelligence for clients.

Not a Fit (Yet)

Pre-PMF startups, companies with less than $35K annual marketing spend, or orgs with 5+ in-house data scientists.

You have seen this movie before.

Your board asks about AI. You hire an AI strategy consultant. Twelve weeks pass. You receive a 180-slide deck. It uses the word "transformation" four hundred times. Your team does not read it. Nothing ships.

Or: you build in-house. An engineer is assigned "20% to AI." Three weeks of vendor evaluation. Four weeks on a prototype. The prototype works in a demo and breaks in production. The engineer burns out. The project is shelved. Your competitors keep shipping.

Eighty-two percent of mid-market companies have an AI initiative. Fewer than nine percent have anything in production generating measurable outcomes. The gap is not ambition — it is execution.

We compress six months into three weeks.

The AI Agent Audit + Deploy compresses what normally takes a 4-person team six months into 21 days. You end with three production AI agents, a fully trained team, and a clear line of sight to what to build — or have us operate — next.

Phase 1
The 21-Day Deployment

Week 1 — AI Exposure Audit

  • Day 1–2: Kickoff. Secure access to CRM, ad platforms, analytics, support systems.
  • Day 3–5: Ten internal agents run a parallel diagnostic across five dimensions.
  • Day 6: Competitive AI scan — what your top three competitors shipped in the last twelve months.
  • Day 7: 25-page AI Exposure Report delivered. 60-minute live readout with your leadership team.

Output: a ranked list of 8–12 agent opportunities, each sized in dollars. You select three.

Week 2 — Build

  • Day 8–9: Technical discovery. Schema mapping. Authentication configured.
  • Day 10–13: Three agents built in parallel. Daily updates in your Slack.
  • Day 14: Sandbox testing against your real data. Edge cases handled.

Output: three agents operating in staging. You watch them run.

Week 3 — Deploy and Train

  • Day 15–17: Production deployment. Security review. Audit logs configured.
  • Day 18–19: Team training. Runbooks handed over. Monitoring dashboard live.
  • Day 20: 72-hour observation period. We watch every run. Edge cases tuned.
  • Day 21: Final delivery call. 60-day measurement plan installed. Handover complete.

Output: three agents in production. You own the code, the prompts, and the logs.

Representative Agents

You select three from the catalog, or we build custom based on your Week 1 findings.

  • Lead Qualification — Ingests every inbound lead, enriches, scores against ICP, books qualified meetings. Frees 15–25 SDR hours weekly.
  • Outbound Personalization — Personalized cold sequences at scale. 3–5x reply rate.
  • Content Production — LinkedIn, blog, and ad variations in your brand voice. 5x volume at 60% cost.
  • Support Triage — Classifies tickets, drafts responses, escalates urgent items. 40–60% deflection.
  • Ad Spend Optimization — Daily ROAS across channels. Kills underperformers. 15–30% spend recovery.
  • Churn Prediction — Scores accounts weekly on 15+ signals. 8–15% retention lift.
  • Call Intelligence — Transcribes, summarizes, writes follow-ups. 5–8 hours/week per AE saved.
  • Document Review — Pre-reviews onboarding docs, flags inconsistencies. 60–80% review time cut.
Phase 2
The Marketing Partnership (optional)

Most clients don't stop at day 21. By the end of the deployment, clients have seen the output. They have three agents running. The natural question follows: "Can you just run our marketing?"

The partnership is optional, month-to-month, and structured in three tiers based on scope. A senior operator is assigned to your account with direct Slack access and accountability for outcomes. You keep the agents if you leave.

Starter

Ongoing tuning of deployed agents. Monthly strategy session. Four content assets per week. For teams who keep marketing in-house but want the agent layer managed.

Growth

We operate content, paid media, CRM, and outbound. Six to eight agents running. Weekly strategy. Replaces a content lead, performance marketer, and SDR.

Scale

Full-stack marketing operation. Ten or more agents across every channel. Senior operator as your fractional CMO. For companies past $3M in revenue ready to compound.

Guarantee

If the deployed agents do not generate or save verifiable value worth three times the deployment fee within sixty days:

  • We refund the deployment in full, or
  • We keep building and tuning until the mark is hit

Your choice. Outcomes are measured in a shared dashboard you control. The guarantee is written into every contract. Thirty-four of our last thirty-seven engagements crossed 3x in under forty-five days.

Investment

The 21-day deployment is a fixed engagement of $5,000 USD. Invoiced 50% at signature, 50% on delivery. Same fee globally — no regional markup, no hourly, no scope creep.

The partnership is priced by scope, from $3,000 to $15,000 per month. Monthly billing, 30 days notice to cancel, no penalty. The deployment fee credits toward month one if you move to a partnership within 30 days of delivery.

We invoice in USD globally. INR (with GST) available for Indian entities. UAE-entity invoicing available for GCC. Payment by wire or Stripe.

Sourav Sharma — Founder, InsighterHub

Thirteen years inside the revenue operations of B2B and D2C companies across eleven countries. CRM architect. GTM systems operator. Performance marketer. Fractional revenue leader. ISB alumnus. Certified LinkedIn Marketing Professional. Claude Architect. 200+ AI agents deployed across 43 engagements in the last 18 months.

I built InsighterHub because I watched "AI transformation" become the most expensive form of inaction in my industry. Founders paid six figures for decks. Nothing shipped. I run this firm on a single principle: at the end of the engagement, working software or your money back.

Objections

Why is this not more expensive?
The diagnostic uses ten AI agents replacing 120 analyst hours. The deployment reuses 80% of core infrastructure. And the deployment is designed as the front of a partnership, not a standalone product.

What if the three agents we select are the wrong ones?
Week 1 exists to prevent this. You see 8–12 ranked opportunities with dollar sizing before you choose. The contract includes three pivot tokens.

Does starting a partnership require a long-term contract?
No. Month-to-month with 30 days notice. You keep the agents, the content, and the ad accounts if you leave.

Is our data safe?
Standard DPA signed before access. Data stays in your cloud. Scoped API keys you control. GDPR, DPDPA, SOC 2-aligned. No training on your data. Full audit logs.

How much of our team's time does this take?
Deployment: approximately six hours across 21 days. Partnership: one weekly 30-minute check-in. We do the work.

Three weeks from now, you do not have to be behind.

The AI Exposure Scan is 15 minutes. No pitch. No slides. You leave with a score and one specific revenue leak in your business we can name on the call.

Request an AI Exposure Scan →

Or write to sourav@insighterhub.ai · Four deployment slots per month. Two partnership slots.