What is DiDective?
- Not every effect you observe is truly causal. DiDective helps you detect causal effects and quantify them with precision.
- No more second guessing your marketing experiments. Wondering, “Did my campaign really drive conversions?” Move from guesswork to clear, evidence-backed conclusions.
- Built on the proven Difference-in-Differences (DiD) technique, DiDective empowers you to distinguish causal impacts from random noise.
- Identify the true causal effect of your marketing interventions with an easy-to-use, self-serve app: DiDective.
Why DiDective is a Game Changer?
Self Serve App
Run Difference-in-Differences experiments like a pro. Without writing a single line of code.
Multiple Experiment Provision
Carry out multiple experiments by adding multiple model cards. Add, switch, or compare multiple DiD setups instantly. Each card holds its own specification and results.
The Campaign windows
Real marketing campaigns often follow a start-stop pattern. With campaign windows feature, identify if the campaigns had a causal effect in that particular time period.
Combined Campaign effect vs Siloed effect
View both pooled treatment effect and window-specific effects side-by-side—no need to switch tools.
Intuitive visualization:
Auto-generated plots show treated vs. control series with shaded intervention zones. Effect-significance annotated right on the timeline.
Layman Summaries
Don't have statistics / Econometrics background, don't worry. Our Layman explanation provides you with enough details without getting into the nitty gritty.
Expert Summaries
If you are a statistician / Econometrician, the tool provides in-depth report of the analysis which you can verify and draw insights from.
Audit-Ready Assumption Checklists
Displays and documents key DiD assumptions that goes into each experiment: parallel trends, stable groups, and no spillovers—right alongside your model.
One-Click Export
Instantly download model summaries and charts as PDFs — perfect for reports, decks and importantly quick decision making.
DiDective - The Technical Features and Details
Interactive trend plots
Visualize pre- and post-intervention trends for both treated and control markets with a dynamic chart. Easily spot divergence after campaign launch and inspect window- level causal insights with annotated significance markers.
Combined Model Summary
DiDective translates regression outputs into simple explanations—perfect for stakeholder presentations.
Window specific treatment effects
Supports multiple, custom-defined intervention windows. Each window is analyzed independently for:
Built in DID equations
The equation used (with defined terms)
Possible Use Cases
Campaign Incrementality Measurement
Measure the true causal impact of your campaigns.
- Geo-lift tests with robust DiD
- Identify real uplift, not correlated lift
- Validate marketing effectiveness with confidence
No-Code Causal Experiments
Run experiments without needing data science teams.
- Simple setup for marketers
- Automated modeling and diagnostics
- Instant causal insights
Creative, Landing Page & UX Testing
Prove which creative or experience actually works.
- A/B or time-window tests
- Adjusts for baseline differences
- Statistically sound performance lift
Influencer & Social Campaign Impact
See whether influencers truly drive results.
- Measure real revenue or conversion lift
- Identify spillover and halo effects
- Avoid overpaying for non-incremental channels
Retargeting & Paid Media Validation
Separate platform attribution from true causal lift.
- Compare treated vs untreated audiences
- Corrects for self-selection bias
- Identify true value of retargeting campaigns
Multi-Campaign & Multi-Market Experiments
Analyze complex real-world marketing setups.
- Supports overlapping or sequential campaigns
- Multiple model cards for comparison
- Pooled vs window-specific effects
Stakeholder-Ready Results
Get insights your leadership team can trust.
- Presentation-ready visuals
- Layman summary + advanced stats
- Clear ROI and incremental impact storytelling
True Channel ROI & Contribution
Know what’s really driving your business.
• See base vs incremental impact
• Compare channel contributions
• Understand true ROI and MROAS across platforms
Saturation & Diminishing Returns
Stop overspending. Scale the right channels.
• Detect saturation points instantly
• Avoid diminishing returns
• Find the efficient spend level for each channel
Scenario Planning & What-If Simulations
Test strategies before spending a rupee.
• Simulate budget shifts
• Forecast performance outcomes
• Compare aggressive vs conservative plans
Unified Marketing + Finance Decisions
Give every team the same source of truth.
• Transparent MMM outputs
• Shared insights for Marketing, Finance & Growth
• Faster, aligned budget decisions
MMM at Scale for Enterprises
One platform for all markets, brands, and channels.
• Multi-brand and multi-market MMM
• Automated data ingestion & refresh
• Enterprise-grade planning at scale
Validate Strategic Shifts
Prove what works at the strategic level.
• Measure impact of media mix changes
• Evaluate new channels or creative strategies
• Quantify ROI of big marketing decisions
Pricing
Standard Plan
$ 99 / month
- Evaluate unlimited number of models.
- Upto 5 seats provided.
- 24/7 support
- Detailed explanation and rationale provided for each metric.
Standard Plan
$ 999 / year
- Evaluate unlimited number of models.
- Upto 5 seats provided.
- 24/7 support
- Detailed explanation and rationale provided for each metric.
