Product workflow

An AI command center for performance marketing.

VectaGrowth is organized around a complete campaign lifecycle: connect data, generate assets, build campaigns, predict performance, automate experiments, and optimize budgets.

Watch product flow View feature modules

Growth briefOffer, audience, product, budget, goal, and margin inputs

Setup

AI campaign planMessaging, channel mix, creative plan, targeting, and tests

Plan

Prediction labROI, CTR, CPA, conversion rate, and fatigue forecasts

Score

AutopilotBudget pacing, test decisions, and winner promotion

Optimize

Inside the app

The dashboard is built around product modules, not manual services.

AI Creative Studio Ad copy, creative prompts, video hooks, landing page angles, and brand voice controls Generative AI

Audience Lab Customer segmentation, intent scoring, high-LTV groups, retargeting pools, and lookalike seeds Segmentation

Campaign Builder Campaign structures, objective selection, launch QA, approvals, and channel-ready setup Automation

Prediction Lab ROI, CTR, CPA, conversion rate, budget risk, and creative fatigue forecasting Predictive models

Experiment Engine A/B test design, variable isolation, confidence tracking, and winner promotion Testing

Budget Autopilot Spend caps, budget shifts, pacing rules, scaling recommendations, and rollback controls Optimization

AI decision engine

Every campaign action is connected to a model signal.

VectaGrowth combines generative AI for campaign creation with predictive models for performance decisions. The result is a product that can create, evaluate, test, and optimize without hiding the reasoning.

Model signal stack

ROI signalHighscale eligible

CTR signal3.1%above baseline

FatigueLowkeep testing

Decision chain

SignalSegment "repeat buyers" has lower CPA and higher conversion intent.

RecommendationIncrease Meta retargeting budget by 14% for 72 hours.

GuardrailDo not exceed $420 daily spend without user approval.

Data inputs

Designed to connect with the systems a real advertiser uses.

Ad platforms

Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, and future paid channels.

Commerce data

Products, orders, revenue, customer behavior, margins, and inventory signals.

CRM data

Lead stage, sales quality, pipeline value, lifecycle status, and customer lists.

Analytics data

Conversions, landing pages, events, attribution, traffic quality, and funnel metrics.

Tour the product architecture.

See how the modules connect into one autonomous AI marketing workflow.

Book product demo