Built Inside Platforms at Massive Scale
Multiple industries · multiple geographies · real money at risk
SpendSignal is informed by operating experience inside some of the largest consumer and B2B platforms — where small attribution errors compound into multi-million-dollar mistakes.
Aggregated across platforms and operating roles.
Live Intelligence Gallery
Explore how SpendSignal measures Marketing Incrementality, flags Revenue Fragility, identifies Safe-to-Cut Costs, compares Acquisition vs Retention ROI, detects Channel Saturation, evaluates Discount Addiction, improves Sales & Marketing Efficiency, ranks Time-to-Value, eliminates Vendor Waste, stress-tests Growth Resilience, and simulates outcomes with the Scenario Engine.
Predict marketing ROI before you spend
Marketing Incrementality
Isolate the true revenue uplift caused by your marketing spend, excluding organic and baseline sales.
Incremental Return
Lift Generated
Halo Effect
Statistical Significance
Generated 2.28x True ROAS with ₹342,000 incremental lift.
- Baseline Revenue calculated using historical organic trends.
- Incremental Lift = Total Revenue - Baseline Revenue.
- tROAS derived from pure incremental lift divided by ad spend.
Channel Performance & Optimization
| Channel | Current Spend | Attributed Rev | Recommended | Optimization | iROAS (Current) | ROAD (Forecast) |
|---|---|---|---|---|---|---|
| ₹48.2K | ₹140.0K | ₹60.3K | +25% | 2.80x | 3.20x | |
| ₹48.2K | ₹91.7K | ₹36.2K | -25% | 1.90x | 2.15x | |
| Direct | ₹24.1K | ₹120.5K | ₹24.1K | 0% | 5.00x | 5.00x |
Model Transparency & DetailsR²: 88.0% | MAPE: 12.5%
| Date | Actual Revenue | Predicted | Residual (Diff) | Intercept | Facebook Contribution | Google Contribution | Direct Contribution |
|---|---|---|---|---|---|---|---|
| 11/22/2025 | ₹8,360 | ₹7,600 | ₹760 (10%) | ₹500 | ₹2,660 | ₹1,900 | ₹2,540 |
| 11/23/2025 | ₹8,444 | ₹7,676 | ₹768 (10%) | ₹500 | ₹2,687 | ₹1,919 | ₹2,570 |
| 11/24/2025 | ₹8,527 | ₹7,752 | ₹775 (10%) | ₹500 | ₹2,713 | ₹1,938 | ₹2,601 |
| 11/25/2025 | ₹8,611 | ₹7,828 | ₹783 (10%) | ₹500 | ₹2,740 | ₹1,957 | ₹2,631 |
| 11/26/2025 | ₹8,694 | ₹7,904 | ₹790 (10%) | ₹500 | ₹2,766 | ₹1,976 | ₹2,662 |
🚀 Pertinent CXO Questions + Answers
The questions that keep leadership awake at night—answered with data.
Core Features Built for Decision Intelligence
Not just analytics—actionable intelligence that drives budget decisions.
Unattributed ROAS
Identify halo and word-of-mouth revenue driven by ads but never credited to them
How much revenue is influenced but unattributed
Which channels create downstream demand
How large your hidden ROI really is
True ROAS (tROAS)
Reported ROAS tells you what got clicked. tROAS tells you what actually worked
Recalculated returns using incrementality
Lag effects and causal impact analysis
Under-credited channels get their due
Source-Wise Budget Allocation
Once the signal is clear, SpendSignal moves from insight to action
Current vs recommended spend per channel
Reallocation based on marginal incremental returns
Guardrails to control risk and volatility
Predicted ROAD
ROAD (Return on Adjusted Dollars) measures expected returns after budget reallocation
Expected incremental revenue per channel
Overall uplift from reallocation
Confidence ranges, not false precision
ROAD vs ROAS: The Critical Difference
ROAS is backward-looking. ROAD is forward-looking.
ROAS
"How did this channel perform last month?"
- Backward-looking
- Attribution bias baked in
- Doesn't answer "what next?"
ROAD
"If I invest this much next month, what will I get back?"
- Forward-looking
- Allocation-aware
- Predictive & decision-grade
ROAD (Return on Adjusted Dollars) measures the expected return from each marketing dollar after SpendSignal's recommended budget reallocation. Unlike ROAS, which looks backward, ROAD forecasts the real economic impact of future spend using incrementality-based modeling.
How SpendSignal Works
From raw data to finance-grade decisions in three automated steps.
Connect Your Data
One-click integrations with your ad platforms and revenue sources. No pixels, no engineering required.
AI Incrementality Analysis
Our engine separates true causal signal from noise, identifying baseline revenue vs. ad-driven lift.
Optimize & Dominates
Receive specific budget reallocation recommendations to maximize ROAD (Return on Adjusted Dollars).
Ingesting Data Streams...
Reduce Legacy
-15% Spend
Scale Winners
+24% Revenue
Predicted Outcome
$4.2M /quarter
Chat-First, Not Dashboard-First
SpendSignal is built for how people actually think.
Scenario Simulation & Confidence Layer
SpendSignal doesn't just output numbers—it guides decisions with confidence and explainability.
Budget Playbooks & Simulations
Run what-if scenarios interactively:
Confidence & Explainability
Decision intelligence that executives trust:
- How confident we are in each metric
- What data gaps hurt accuracy
- What actions will actually change revenue
- Confidence ranges, not false precision
This level of decision intelligence is what sets SpendSignal apart from vanity dashboards.
When Budgets Are This Large, Attribution Becomes a Financial Risk
At $6.5B+ in annual advertising spend:
A 1% misallocation isn't noise — it's a material error
Over-crediting one channel distorts capital planning
Under-crediting another quietly suppresses growth
SpendSignal exists because at this scale, incrementality is not a marketing problem — it's a capital allocation problem.
Why SpendSignal Exists
SpendSignal was built after seeing the same pattern repeat at scale:
Reported ROAS stayed flat
Budgets kept increasing
Profit growth lagged expectations
The issue wasn't execution.
It wasn't creative.
It wasn't channel mix.
It was measurement bias — and it compounded faster as spend grew.
SpendSignal is the product that emerged from fixing this problem where the cost of being wrong was measured in millions.
Every Number Is Explainable
Enterprise teams don't trust answers they can't explain.
Clear Assumptions
All modeling assumptions documented and visible
Transparent Logic
Lag and incrementality calculations explained
Replay & Audit
Every scenario can be replayed and audited
Confidence ranges, not false precision.
If you can't defend it in a boardroom, it doesn't belong in the product.
Designed for a Privacy-First World
SpendSignal does not rely on cookies, user-level tracking, PII, or device graphs.
It works on aggregated spend and outcome data, making it resilient to regulatory changes, platform deprecations, and regional privacy laws.
Enterprise-safe by design.
No Cookies
No User Tracking
No PII Required
No Device Graphs
Enterprise-Ready Infrastructure
SpendSignal is built with enterprise expectations in mind.
Secure data isolation
Per-customer data isolation
Role-based access
Granular access controls
Encrypted data
At rest and in transit
Scalable deployment
Scales with spend and data volume
Security is treated as a foundation, not a feature.
(SOC2 / ISO badges can be added once formally certified.)
Trusted by Leaders Who Sign the Budget
"This finally explained why cutting 'inefficient' channels kept hurting growth."
Enterprise Marketing Leader
"For the first time, marketing and finance agreed on what was working."
Enterprise Marketing Leader
"ROAD made future spend discussions concrete instead of emotional."
Enterprise Marketing Leader
Make Changes Before You Commit the Budget
So decisions are made before money moves — not after damage is done.
Simulate reallocations
Test budget changes safely
Forecast outcomes
Predict revenue impact
Understand downside risk
Know worst-case scenarios
Compare scenarios
Side-by-side analysis
Built for Global Markets
Market dynamics vary by region—SpendSignal adapts to local CAC pressures, attribution constraints, and regulation
Simple, Transparent Pricing
Choose the plan that fits your needs
Starter
For founders and small teams getting started
- Up to 10 datasets
- Core incrementality metrics
- Chat-based analysis
- CSV exports
- Email support
Who Uses SpendSignal
Decision-makers in fast-growth companies use SpendSignal to move from guesses to clarity
By Industry
D2C & Consumer
Brands optimizing Meta + Google spend across acquisition funnels
B2B SaaS
Long sales cycles where attribution breaks down
Fintech
Regulated markets with high CAC and complex buyer journeys
Marketplaces
Two-sided markets balancing supply and demand spend
Retail
Omnichannel attribution across online and offline
Gaming
High LTV users with long engagement windows
Complete FAQ
Everything you need to know about SpendSignal.
