NEXT-GENERATION AI SOFTWARE
Marketing optimization (+ ROAS & RMN)
Optimization
Our next-generation marketing optimization (+ ROAS & RMN) software
How the solution works: screenshots of our software
ROAS optimization dashboard
This screen shows projected and real-time ROAS across Walmart Connect, Target Roundel, and Amazon. Users can compare ROAS curves across RMNs and shift budget dynamically using sliders.
Goal-seeking scenario planner
Here, the brand team sets a target for incremental sales in Q4 for a new SKU. The system auto-generates a mix of media tactics across RMNs, paid social, and promotions to hit the goal.
Multi-touch attribution sankey flow
This view explains how a shopper moved from seeing a display ad on Meta to search ads on Amazon before converting in-store. It visually breaks down contribution from each touchpoint to the sale.
Weekly budget redeployment heatmap
The optimizer recommends budget shifts from underperforming Northeast stores to higher-potential Midwest outlets based on real-time ROAS and media saturation thresholds. Users can export plans by media channel or SKU.
Value created: specific metrics & use cases
26% increase in ROAS for personal care brand
A personal care company reallocated 18% of their media spend from TV to RMN display ads, resulting in a 26% increase in ROAS across Target Roundel and Kroger Precision.
40% faster decision cycles across shopper & brand teams
By using the shared optimization environment, a large beverage manufacturer aligned its brand, shopper, and retail teams — reducing campaign planning time from 3 weeks to 5 days.
$3.1M saved by cutting overlapping RMN spend
A CPG portfolio business found redundant spending on Amazon and Walmart RMNs targeting the same high-frequency shoppers. Our optimizer flagged and redeployed this to high-ROI store-level promos.
19% sales lift at Walmart for vitamin brand
Through micro-targeted RMN media, geo-based bundling, and seasonality-aware planning, a vitamin client boosted multi-pack sales by 19% in previously underperforming Walmart zones.
How the solution works: advanced game-changing features
Cross-retailer cannibalization detection
The optimiser identifies when your Amazon, Walmart, and Target campaigns overlap too closely, leading to spend dilution. It automatically recommends reallocation by channel and geography.
Audience-driven spend personalization
Each campaign recommendation is adjusted by shopper segment — whether it’s lapsed buyers, new trialists, or loyalists — and adapts ROAS targets accordingly across RMNs and external channels.
Constraint-based planning for RMN obligations
The system lets users lock in required spend levels per retailer agreement (e.g., Walmart RMN minimums) and still finds the best scenario to maximize ROI within those constraints.
Multi-touch attribution across offline and online
We model full-funnel attribution, whether the shopper saw an Instagram ad and then purchased on Walmart.com or browsed Amazon and purchased in-store. This results in accurate channel crediting.
S-curve optimization by SKU and channel
Return curves are plotted at the SKU × Channel × Week level, so your spend plan avoids saturation and finds the highest ROI point — especially useful for new product launches or RMN-heavy campaigns.
More examples of how we've delivered value
+21% ROAS from RMN campaign rebuild
Used S-curves to adjust budget mid-campaign across Kroger RMN placements.
-25% media waste in just one quarter
Identified overlap between Target Roundel and Amazon sponsored products.
+14% store visits from geo-ad rebalancing
Reallocated spend from over-served cities to high-potential store clusters.
40% faster cross-team decision alignment
Unified optimization reduced brand–shopper planning cycle time drastically.
Why this benefits your business
Built for complex, multi-brand portfolios
In consumer goods, one SKU needs heavy support while another is mature and must be protected. Our solution understands how to grow innovations without cannibalizing staples — and adjusts spending curves accordingly. Brand and category managers can flag SKUs as “push” or “protect,” and the model responds dynamically.
Designed for real retail channel constraints
Retailers impose spending minimums, timing windows, and category-level targets. Whether it’s “spend $1M on RMN Q2” or “support our seasonal event,” our engine locks these into the plan and still finds the most efficient media mix to hit your sales or share goals.
Responsive to local market and shopper nuances
One store cluster responds to digital RMN banners, while another needs in-store promo boosts. Our optimizer uses store-level sales, footfall, and demographic overlays to plan with this nuance — no one-size-fits-all assumptions.
Solves the cross-channel attribution mess
TV drives awareness, but paid search converts — and RMNs only track their own clicks. Our software brings it all together with multi-touch attribution and gives each touchpoint fair credit, letting you make smarter cross-channel budget decisions.
Flexible to your internal ways of working
Whether your team is global, regional, or account-focused, our workspace lets different teams build their own plans while aligning on shared metrics and ROAS goals. No need to overhaul the org structure to get started.
Live at
Our out-of-the-box solutions are fully customizable to fit your team’s workflows, brand goals, specific constraints, retailer needs, shopper behaviors, and strategic objectives.
Find out why Insite AI is chosen in RFPs over 3rd parties & doing things internally.
Get in touch
Our friendly and efficient team is here to discuss your ideas. No pressure, just solutions.
Contact us
What happens next?
- Our team will reach out to you to schedule a 'no pressure' call to help understand your objectives
- We'll provide relevant demos and examples. You then confirm to us that you have a formal mandate to purchase.
- We will provide the best-in-class proposition, tailored to all your nuances.
