Company Overview
Kindlife is a direct-to-consumer beauty and wellness platform operating in a fast-moving, SKU-heavy category where campaign speed and personalization drive competitive advantage. With a broad product catalog across beauty and wellness, Kindlife's growth depended on running always-on and promotional campaigns across Meta and Google at scale a workload that had outgrown its manual, dashboard-driven marketing operations.
Challenges
Before partnering with NYX, Kindlife's marketing operations were held back by manual processes and fragmented data problems typical of a fast-scaling, SKU-heavy D2C brand:
Challenge | What Was Happening |
|---|---|
Inefficient Scaling | Manual campaign creation and budget allocation hindered growth velocity. |
Disconnected Insights | Teams relied on fragmented dashboards with inconsistent data sources. |
Lack of Personalization | Product recommendations and ad creative decisions were not data-driven. |
Generic Targeting | Product ads didn't factor in user interest or past behaviour, reducing retargeting ROI. |
NYX Solution
NYX replaced Kindlife's manual, fragmented workflow with an automated, AI-driven system spanning campaign execution, analytics, and personalization:
Campaign Automation - NYX auto-set-up always-on and promotional campaigns across Meta and Google, with daily budget pacing governed by ROAS safeguards removing the manual bottleneck that had been capping Kindlife's growth velocity.
Intelligent Recommendations - Powered by NYX's AI engine, the platform generated creative-refresh suggestions every 10 days alongside ad platform-specific optimisation playbooks, keeping campaigns fresh without manual creative reviews.
Uniview Analytics Layer - A single source of truth for CAC, ROAS, and revenue was established across all channels, with a root-cause engine that automatically flagged anomalies such as regional CAC spikes closing the gap left by Kindlife's previously fragmented dashboards.
Customer & SKU-Level Recommendations - A retargeting product-recommendation engine personalised outreach at the customer level, while SKU prioritisation based on stock, CTR, and AOV lift ensured ad spend favoured the products most likely to convert.
Together, these capabilities let Kindlife run a beauty-and-wellness catalog at scale with far less manual effort, while making every campaign, creative, and product recommendation data-driven by default.
Business Impact
Measured over five months, NYX's automation and recommendation layer delivered better performance with meaningfully less human effort:
Blended CAC reduction and ROAS improvement over 5 months.
Campaign launch time — from 48 hours to 4 hours.
A new, incremental revenue stream created entirely by automation.
Metric | Before → After | Improvement |
|---|---|---|
CAC (Blended) | ₹540 → ₹390 | 28% |
Time to Launch Campaign | 48 hrs → 4 hrs | 91% |
Revenue from Automated Recs. | ₹0 → ₹4.3L | New |
ROAS | 2.1x → 3.2x | 52% |
Newton School transformed its marketing funnel to drive greater efficiency and performance. By optimizing campaign processes and leveraging automation, the company reduced blended CAC by 28%, improved ROAS by 52%, and cut campaign launch time by 91%. Automated recommendations also generated ₹4.3 lakh in new revenue, demonstrating a measurable impact on both marketing efficiency and business growth.
Key Takeaway
Kindlife's engagement with NYX shows how automation and AI-driven recommendations can turn a manual, fragmented marketing operation into a fast, personalised, data-led growth engine. In five months, campaign launch time fell 91%, blended CAC dropped 28%, ROAS rose 52%, and automated recommendations opened an entirely new revenue stream worth ₹4.3L proof that for SKU-heavy D2C brands, the biggest gains often come from removing manual effort, not just increasing ad spend.