A DTC retail brand spending $50M annually on digital marketing across 8 channels had a blended ROAS of 1.8x, barely breaking even. Each channel reported its own attribution numbers that, when combined, claimed 3x more conversions than actually occurred.

The marketing team couldn't determine which channels, campaigns, or creatives were truly driving incremental revenue. Budget allocation was based on last-click attribution, which heavily favored lower-funnel channels while undervaluing brand-building activities. Creative testing was manual and inconsistent, with no systematic performance scoring.

The brand needed unified cross-channel attribution, automated budget optimization, and creative performance analysis.

The Solution

Agents that unify data, attribute conversions, optimize budgets, and analyze creatives

Vijan.AI deployed 5 agents for marketing intelligence. The Data Unifier stitches customer touchpoints across all 8 channels using identity resolution and probabilistic matching. The Attribution agent runs multi-touch attribution models (Shapley values, Markov chains) to determine true incremental value per channel and campaign. The Budget Optimizer reallocates spend in real-time via ad platform APIs based on marginal ROAS at the campaign level. The Creative Analyzer scores ad creative performance using engagement metrics and visual analysis. The Report agent generates executive dashboards with unified metrics and actionable recommendations.

Autonomous Agents

How each agent reasons, decides, and acts

Step 1 · Targeting

Personalized Promotions Agent

Personalized Promotion Creation

Generates targeted offers and assigns them to optimal marketing channels based on customer segments.

Input

Customer segments, purchase behavior, promotion budget

Output

Personalized offers with channel assignments

Calls offer creation tool to generate discounts, bundles, and loyalty rewards per segment
Calls channel assignment tool to route offers to email, app, social, or in-store
Autonomous decision: optimize offer timing and channel mix to maximize conversion
Routes promotion plans to Seasonal Campaign and Shopper Segmentation agents

Step 2 · Scheduling

Seasonal Campaign Agent

Seasonal Campaign Planning

Plans and schedules seasonal marketing campaigns with budget allocation across channels.

Input

Seasonal calendar, promotional offers, budget constraints, historical performance

Output

Campaign schedules with budget splits

Calls event calendar tool to map campaigns to holidays, events, and shopping seasons
Calls budget allocation tool to distribute spend across channels based on ROI
Autonomous decision: prioritize high-ROI channels, reserve budget for reactive campaigns
Routes campaign plans to Social Commerce and Visual Merchandising agents for execution

Step 3 · Social Sales

Social Commerce Agent

Social Commerce Optimization

Creates shoppable posts, matches influencers, and drives sales through social media channels.

Input

Product catalog, social media accounts, influencer database, campaign goals

Output

Shoppable posts with influencer partnerships

Calls shoppable post tool to create Instagram/Facebook/TikTok posts with buy buttons
Calls influencer matching tool to identify creators aligned with brand and audience
Autonomous decision: allocate budget to high-engagement influencers, A/B test creative formats
Routes social sales data to Shopper Segmentation for attribution analysis

Step 4 · Visual

Visual Merchandising Agent

Visual Merchandising and Trend Analysis

Optimizes product imagery, predicts visual trends, and enhances online merchandising for conversion.

Input

Product images, website analytics, trend data, competitor visuals

Output

Optimized product visuals with trend insights

Calls image optimization tool to enhance photos for conversion (backgrounds, angles, lighting)
Calls trend prediction tool to identify emerging visual styles and aesthetics
Autonomous decision: update product imagery to match trends, test lifestyle vs product shots
Routes visual assets to e-commerce platform and marketing channels

Step 5 · Attribution

Shopper Segmentation Agent

Marketing Attribution and Segmentation

Attributes sales to marketing touchpoints, segments shoppers by behavior, and calculates campaign ROI.

Input

Conversion events, touchpoint data, customer journeys, campaign spend

Output

Attribution reports with segment performance

Calls RFM analysis tool to segment customers by value and engagement
Calls attribution modeling tool to assign credit to marketing channels (first-touch, last-touch, multi-touch)
Autonomous decision: recommend budget reallocation to high-ROI channels and segments
Routes attribution insights to marketing leadership and campaign optimization loop

Results

Measurable impact within 90 days of deployment

3.5x

Return on Ad Spend

Blended ROAS improved from 1.8x to 3.5x through accurate attribution and automated budget reallocation.

$15M

Budget Saved

Eliminated $15M in wasted ad spend by shifting budget from over-credited channels to truly incremental ones.

94%

Attribution Accuracy

Cross-channel attribution accuracy reached 94%, eliminating double-counting and providing single source of truth.

Creative Velocity

Creative testing velocity doubled with automated performance scoring and rapid identification of winning variants.

Implementation

From pilot to production in 12 weeks

Week 1-4

Agent Design & Tool Integration

Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.

Week 5-8

Shadow Mode & Autonomous Tuning

Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.

Week 9-12

Full Autonomous Deployment

Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.

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