What we do
Marketing Intelligence
Marketing Intelligence
Our Marketing Intelligence services help marketing leaders move from fragmented platform reports to a single, decision-ready intelligence layer. We are an AI-native marketing intelligence partner that builds CXO and leadership dashboards, multi-touch attribution models, automated pipelines, and AI-driven analysis on top of your existing ad, analytics, CRM, and external data sources. Marketing teams use the platform to compare channels on a common language of ROAS, CAC, CPL, and conversion contribution sliced by campaign, geography, audience, and product. React to market signals in near real time, and replace manual reporting with self-serve insight.
What We Do
Unified Marketing Workflow
We engineer a single source of truth that connects any marketing platform into one centralized, query-ready repository with automated API extraction & standardized UTM tagging.
Interactive Performance Dashboards
Role-based dashboards built on your preferred BI tool with drill-down views covering campaign efficiency, geographic demand, traffic quality, offline purchase intent, and event impact.
AI & ML Analysis Layer
An autonomous layer that reads your data and generates natural-language commentary with automated alerts on the moment campaign metrics breach thresholds.
External Signal Integration
We extend the dashboard with third-party data APIs (news, trends, macroeconomic indicators, retail footfall, weather, etc.) so your model reacts to the real world, not just platform reports.
Conversational Analytics & Marketing Copilots
Natural-language chatbots embedded into the dashboard so leaders can ask questions in plain English and get instant, sourced answers. No SQL, no analyst queue, no waiting for Monday's report.
Customer Voice & Sentiment Analytics
Social listening pipelines across platforms, marketplace listings, social channels, and call transcripts, scored for sentiment and topic. Brand teams see what customers are actually saying.
Cross-Platform KPI Standardization
Every platform defines CPL, CTR, conversions, and lead quality differently. We standardize 50+ KPIs across marketing channels so that teams can finally compare apples to apples.
Marketing Operations Automation
Workflow automation: scheduled reports, alert-driven Slack/Teams notifications on KPI breaches, automated UTM hygiene checks, and campaign-launch QA.
Why DPA
Data Partners
We don't run your campaigns or compete with your agency. We build the intelligence layer underneath, so your team and your agency make sharper decisions with the same data.
Engineering-Grade Foundation
Every dashboard is built on a properly modeled fact-and-dimension structure with governed pipelines, audit trails, and historical preservation, not on spreadsheets that break when someone renames a column.
AI That Acts, Not Just Visualizes
Our AI and ML layer doesn't stop at charts. It interprets, narrates, and recommends. Turning dashboards from a reporting tool into a decision tool.
Open Architecture
We work with Power BI, Tableau, Looker, Snowflake, Databricks, and major cloud platforms. You keep ownership of your data, your stack, and your contracts.
BFSI-Grade Data Security
Built by a team with two decades in financial services. Encryption, role-based access, data residency controls, and SOC 2 / ISO 27001 aligned environments are inherent to how we build.
Built to Scale With You
Phase 1 launches in weeks. The architecture is designed from day one to absorb new platforms, new geographies, new business units, and new data types without rebuilds.
Frequently Asked
Questions
Everything you need to know about Marketing Intelligence with Decimal Point Analytics.
SaaS tools give you pre-built connectors and generic dashboards. We give you a governed data foundation, KPI standardization specific to your business, custom dashboards built for your team's decision rhythms, and an AI layer trained on your context. SaaS tools end where the standard schema ends; our solution starts where your business logic begins. You also own the data, the models, and the dashboards. There is no lock-in and no per-seat licence creep.
We measure marketing ROI on the metrics the business actually budgets against — ROAS, CAC, CPL, payback period, and conversion contribution by channel. Attribution is multi-touch and cross-channel by default, so paid search doesn’t get credit for revenue that organic and email actually built. Every touchpoint is connected to a CRM-recorded opportunity or revenue event, sliced by campaign, geography, audience, and product. The dashboard shows what each rupee of spend returned and which channels are over- or under-funded relative to the revenue they generate — so reallocation decisions are evidence-based, not last-quarter habits.
Three things. First, it monitors your KPIs continuously and flags anomalies, spend leakage, attribution gaps, and underperforming creatives without anyone asking. Second, it generates natural-language analysis, explaining what changed, why it likely changed, and what the data suggests next. Third, it powers conversational analytics, so anyone in the marketing team can ask questions in plain English and get sourced, dashboard-grounded answers.
Phase 1 covering data foundation, KPI standardization, and the first set of standardized dashboards across your primary platforms typically goes live in couple of weeks from the point of platform access and KPI sign-off. The AI layer and external signal integrations follow in Phase 2. Final sign off typically takes less than a month.
Data security is inherent to how we build, not a feature we add. Engagements operate inside your cloud environment or in dedicated DPA-managed environments with encryption, role-based access, and audit logging. We are aligned with SOC 2 and ISO 27001 standards, and for engagements with sensitive customer data, we deploy inside the client's own infrastructure with no DPA-side access to raw data. Every engagement is governed by an NDA and DPDPD Act / GDPR-compliant data handling protocols.
Engagements are structured in two parts: a one-time setup fee for Phase 1 (data foundation, standardization, and dashboards) and an annual maintenance contract for pipeline monitoring, dashboard upkeep, and minor enhancement requests. Phase 2 (AI layer, external signals, conversational analytics) is scoped separately. We can typically scope a Phase 1 commercial within 48 hours of an exploratory call.
