Marketing campaign optimization
Marketing campaign optimization: the campaigns inbox with performance, a campaign's overview, performance, recipients and details, the feedback heatmap and age distribution, a simulation against previous cohorts and campaigns, and new campaign variants generated to test against one objective with human review before launch.
One working session with the people in the seat: which decisions, which systems, what a good week looks like.
The app you see above, running on your own exports instead of the simulated world. Every screen, every decision, your numbers.
Wired to your systems with your permissions, agents proposing, people approving, the ledger recording who did what.
Overview
Campaign feedback lives in the email tool, the CRM and the survey platform. By the time the numbers are assembled the campaign has ended and the next one is planned on instinct.
The engine pulls feedback metrics from every source into one inbox and flags what is underperforming. A campaign opens to its recipients on a map, its performance over time and its details; a simulation predicts how a change would land against previous cohorts, and new variants are generated against the same objective for A/B testing, with the marketer reviewing each before it goes out.
Key features
- Live campaign evaluation: A/B testing and granular content management for sustained improvement.
- Automatically generate and test new ideas: multiple campaigns configured against a single objective.
- Campaign simulation: predicted performance by simulating against previous cohorts, campaigns and metrics.
- Feedback metrics integrated across channels with human-in-the-loop verification.
Decisions it produces
- Open an underperforming campaign
- Run a simulation before changing it
- Generate variants against the objective
- Approve a variant for testing
Data sources
| Campaign platforms | sends, opens, clicks, conversions |
|---|---|
| CRM | recipients, accounts, locations |
| Feedback | survey responses and sentiment |
| History | previous cohorts and campaigns |
Simulated data throughout. Book a call to see it on your own systems.
Related demos
Customer service engine
A customer communication engine that drafts responses from the customer's orders, status and history, queues them for approval, lets the operator mark up a draft and commit the feedback as knowledge that shapes future drafts, and a customer 360 with the order timeline and the graph of everything the customer links to.
Lead triage and management
An inbound lead board with four stages: leads extracted from email and enriched with enterprise context, a proposed manager with the reasoning, approval or rejection of the proposal, and every edit, generated email and stage change written back to the CRM.
Dynamic pricing for retail
Dynamic pricing for retail: price change alerts with their rules-check status and approval, the business rules a proposed price is checked against with competitor, margin, stable-price and regulation figures, approve or set a new price, scheduled updates within budget, and AI scenarios that explore the effect of a price on competitors, existing customers and margin.