WatEase AI
The AI marketing engine inside WatEase.
Bayesian Marketing Mix Modeling, causal lift measurement, and budget optimization — built for marketing teams that need to defend every dollar.
Stop guessing what's working. Start measuring.
"I can't defend last-click attribution to my board."
WatEase AI runs hierarchical Bayesian MMM with MCMC sampling. Every channel contribution comes with 95% credible intervals. Tell your board what each dollar earned and how confident you are.
"I don't know if my Meta lift is real or a halo effect."
Five causal methods (DiD, Synthetic Control, PSM, RDD, IV) decompose true incremental lift from organic spillover. Test holdouts that survive scrutiny.
"Reallocating budget is a quarterly Excel exercise. I want it daily."
SLSQP + Differential Evolution + Thompson Sampling rebalance your spend across 28 connected ad platforms — automatically when you opt in, advisory by default.
Built like a research lab. Shipped like a product.
Five steps from data ingest to recommendation — every one auditable.
- 1
Connect 28 ad platforms (Meta, Google, TikTok, LinkedIn, …) and your CDP.
- 2
The model trains overnight on your spend, conversions, and exogenous variables (seasonality, holidays, competitor activity if available).
- 3
Channel-level adstock + saturation curves with Geometric and Weibull decay.
- 4
Posterior credible intervals power decisions; SHAP shows feature importance.
- 5
Thompson Sampling proposes the next budget split; you approve or auto-execute.
Five ways to prove it actually worked.
Difference-in-Differences
Compare treated vs. control groups around a marketing intervention.
Synthetic Control
Build a counterfactual from a weighted combination of untreated cohorts.
Propensity Score Matching
Pair treated and untreated customers with similar pre-treatment behavior.
Regression Discontinuity
Exploit threshold-based promotions (e.g. free shipping over ₹999).
Instrumental Variables
Identify causal effects when randomization is impossible.
Today: AI-autonomous. Tomorrow: closed-loop.
7 agents shipping today with audit + approval gates. Closed-loop execution back into Commerce ships Q3 2026.
Live today
- Anomaly Watcher (every 15 min, z-score vs baseline)
- Budget Optimizer (nightly, SLSQP + Thompson Sampling)
- Creative Generator (weekly, fatigue-driven variant drafting)
- Audience Discoverer (weekly, lookalike seed proposals)
- Campaign Orchestrator (hourly, A/B promotion + floor enforcement)
- SEO Operator (daily, ranking-drop refresh proposals)
- Strategy Reviewer (monthly, cross-agent activity synthesis)
Shipping Q3 2026
- Closed-loop autonomous tuning (Q3 2026, gated on reverse federation client)
- Multi-tenant agent allowlist UI (Q3 2026)
We tell you what's live, what's roadmap, and what's NVIDIA-unlock. No fiction.
Available on the Smart tier.
WatEase AI is included in the Smart and Enterprise tiers. Smart starts at ₹4,999/mo (₹3,999 annual) or $299/mo.
See pricingFAQ
What's the difference between WatEase Commerce and WatEase AI?
Commerce is your WhatsApp storefront and inbox — the customer-facing surface. AI is the marketing brain — MMM, optimizer, agents, causal inference. They share one customer record. You can use Commerce alone, but AI requires Commerce data (or any connected ad-account data) to train.
Do I need a data scientist to use it?
No. The dashboard summarizes posterior distributions in plain English ("Meta is contributing ₹3.2 ± 0.4 lakh to monthly revenue with 95% confidence"). For data teams who want the raw posteriors, we expose them via API.
How long does the model take to train?
24–36 hours for the first run. Daily incremental updates after that. Quick-start uses synthetic priors so you see directional recommendations within an hour.
What if I don't have 12 months of data?
We use industry-informed priors (per-vertical baselines from anonymized aggregates). After 90 days of your own data, priors are weaned out and posteriors are entirely yours.
How is WatEase AI different from Meta Robyn or Google Meridian?
Robyn and Meridian give you a model. WatEase AI gives you a model + an optimizer + an execution engine + the WhatsApp commerce surface to deploy decisions. Plus 28 connectors and Bayesian over frequentist by default.
See your real ROAS in 5 minutes.
Paste 3 months of Meta + Google spend. We'll show you the Bayesian-vs-last-click delta on your data.