Tracking FirstCry Discounts for Diaper Brands – Actowiz Solutions

 Case Study Tracking FirstCry Discounts During Festive Seasons 01

Introduction

India's baby-care eCommerce market explodes during festive seasons like Diwali, Dussehra, Independence Day, and New Year sales. Among platforms leading this surge, FirstCry stands out as the largest online marketplace for baby and maternity products.

For diaper brands, these seasons can determine quarterly performance. Prices fluctuate daily, discounts vary by city, and inventory often sells out in hours. Tracking these changes manually is nearly impossible.

Actowiz Solutions, a global leader in e-commerce and price intelligence scraping, partnered with leading diaper manufacturers to monitor FirstCry's pricing, promotions, and availability during festive campaigns.

This case study explores how Actowiz Solutions' FirstCry product data scraping and analysis uncovered actionable insights that helped diaper brands optimize pricing, plan stock, and improve campaign ROI.

Problem Statement

Problem Statement 01

Every festive season, FirstCry rolls out aggressive discount campaigns such as:

  • "Diaper Fest Week"
  • "Big Baby Days"
  • "Diwali Flash Deals"
  • "Independence Day Price Drop"

While these promotions boost traffic, diaper brands often lack visibility into:

  • How discounts vary by brand, SKU, or region
  • What competitor brands are offering
  • Which price points generate the most sales
  • When to launch or extend their own campaigns

Without real-time festive discount tracking, brands risk mismatched pricing, lost visibility, and inventory misallocation.

Actowiz Solutions' challenge was clear: Build a scalable, API-driven, FirstCry discount tracking system to analyze festive price movements at a SKU and city level.

Objective

The project's goal was to:

  • extract FirstCry pricing and promotional data for diaper categories during key festive windows.
  • Compare discounts and availability across leading brands (Pampers, Huggies, MamyPoko, SuperBottoms, etc.).
  • Identify regional pricing variations across top Indian cities.
  • Build insights dashboards for decision-making.

Actowiz Solutions Approach

Actowiz Solutions implemented a four-stage approach for this analysis.

Stage 1: Data Collection (Web Scraping & API Integration)

Actowiz Solutions deployed crawlers to continuously scrape FirstCry product listings, collecting:

  • Brand and product name
  • Pack size and price per diaper
  • Original price vs discounted price
  • Discount percentage
  • Stock availability
  • Category ranking (based on popularity)
  • City or pin-code location (where available)

Data was refreshed every 6 hours during the Diwali sale period.

Stage 2: Data Cleaning & Structuring

Collected data was normalized to ensure:

  • Uniform pricing units (₹ per diaper)
  • Unified brand taxonomy
  • Elimination of duplicates and expired offers
Stage 3: Analysis & Benchmarking

Actowiz Solutions analytics team processed the data to identify:

  • Average discount depth per brand
  • Top-selling SKUs by city
  • Timing patterns (flash sales vs long-run promotions)
  • Elasticity between discount depth and stock depletion
Stage 4: Visualization & Reporting

Interactive dashboards were created to monitor:

Sample Data Snapshot

BrandSKU Pack SizeOriginal PriceDiscounted PriceDiscount %AvailabilityRegionDate
Pampers Active Baby72 pcs₹1,199₹89925%In StockDelhi27 Oct
Huggies Wonder Pants56 pcs₹1,049₹81922%Low StockMumbai27 Oct
MamyPoko Extra Absorb74 pcs₹1,149₹84926%In StockBengaluru27 Oct
Supples Premium60 pcs₹799₹59925%In StockHyderabad27 Oct
SuperBottoms UNO2 pcs₹890₹74516%Out of StockPune27 Oct

This snapshot shows the average festive discount range of 15–30%, with variations by city and availability.

Insights from Festive Season Tracking

Discount Depth & Duration
  • Average discount across diaper brands: 23.5%
  • Premium organic brands like Super Bottoms maintained smaller discounts (10–15%) but high sell-through rates.
  • Budget brands like Supples offered larger discounts (25–30%) to compete in price-sensitive markets.
Regional Price Variations

Using FirstCry price comparison scraping, Actowiz Solutions found:

  • Southern cities (Bengaluru, Chennai, Hyderabad) saw deeper average discounts.
  • Northern metros (Delhi, Chandigarh) showed moderate markdowns but faster stockouts.
  • Western regions (Mumbai, Pune) had high discount diversity, often testing multiple promo levels.
Time-Based Flash Sales
  • 70% of diaper promotions were active between 7 PM – 11 PM, coinciding with high traffic hours.
  • Flash deals (limited 2-hour slots) had higher conversion but faster stock depletion.
Competitor Behavior
  • Actowiz Solutions FirstCry promotion tracking API highlighted how leading brands reacted dynamically:
  • When Pampers reduced its discount from 25% to 20%, Huggies increased its offer from 22% to 28%.
  • MamyPoko ran "Buy 2 Get 1 Free" promotions instead of flat discounts — a tactic that sustained average order value.
Category Elasticity
  • Every 5% discount increase drove an 11–13% volume uplift on average.
  • Price elasticity was highest in mid-range SKUs (₹600–₹900).
  • Super-premium diapers showed steady sales even at lower discounts.

Dashboards & Data Visualization

Actowiz Solutions built a custom dashboard for the client featuring:

  • Daily discount heatmaps across cities
  • Brand vs brand comparison graphs
  • "Top 10 SKUs by Discount Uplift" lists
  • Time-series analysis for each festive week

Sample visualization excerpt:

Chart 1:

Average Discount % by Brand (Diwali 2024)

  • Pampers: 24%
  • Huggies: 26%
  • MamyPoko: 22%
  • Supples: 27%
  • SuperBottoms: 15%

Chart 2:

Discount Elasticity CurveHigher discounts correlated directly with spike in conversions until ~30% threshold; beyond that, sales plateaued.

Impact & Business Outcomes

MetricBefore ActowizAfter Actowiz
Discount timing accuracyManual, reactiveData-driven, real-time
Regional visibilityLimitedPin-code level
Forecast accuracy±15%±4%
Stock-out rate12%6%
Campaign ROI+11%+24%

In just two festive seasons, Actowiz Solutions insights improved gross margin control and inventory distribution efficiency across all monitored SKUs.

Lessons Learned

  • Timing beats depth – Launching promotions at the right hour matters more than increasing discount percentages.
  • City-specific strategy – Bengaluru and Hyderabad buyers are more discount-sensitive; Mumbai prefers convenience offers.
  • Brand positioning defines elasticity – Premium brands rely on perception, not markdowns.
  • Inventory planning must sync with flash sales – Predictive analytics can prevent stockouts in high-volume zip codes.
  • Continuous tracking is crucial – Scraping data only once a day misses real-time fluctuations that define conversion spikes.

Technology Stack

Actowiz Solutions utilized:

  • Python-based crawlers with rotating proxies
  • API connectors for structured JSON feeds
  • AI-based discount detection engine
  • Tableau dashboards for visual analytics
  • MySQL + PowerBI integration for client access

Security and compliance were maintained under India's data guidelines and FirstCry's data-access policies.

Challenges & Mitigation

ChallengeSolution
Dynamic pricing changes every few hoursAutomated crawlers every 6 hours with historical logs
Regional redirects in FirstCry listingsPin-code mapping & normalization
Out-of-stock visibility lagCustom availability tracker integrated with API
Seasonal API throttlingLoad-balanced scraping schedule
Duplicate data noiseData deduplication via SKU hashing

Strategic Recommendations

Based on Actowiz Solutions findings, diaper brands should:

  • Run regional A/B pricing tests during peak hours (e.g., Diwali evenings).
  • Target mid-tier SKUs with optimal 20–25% discounts for maximum uplift.
  • Leverage data scraping dashboards to track competitor changes live.
  • Align ad budgets with regions showing fastest stock movement.
  • Plan inventory at least two weeks ahead of FirstCry's campaign calendar.

Future Applications

Future Applications 01

The same methodology can be extended to:

  • Baby wipes, feeding bottles, apparel, and toys
  • Cross-platform scraping across Amazon, Flipkart, and Nykaa Baby
  • Predictive analytics for upcoming sale seasons
  • Automated alert systems for discount changes beyond thresholds

Actow continues to refine FirstCry data extraction to include:

  • Review sentiment analytics
  • Competitor ad tracking
  • Real-time category share estimation

Conclusion

Festive seasons redefine India’s baby care market — and data decides who wins.

By partnering with Actowiz Solutions, diaper brands gained end-to-end visibility into FirstCry’s festive discounts, stock patterns, and competitor behavior.

Through web scraping, API integration, and analytics, Actowiz Solutions turned raw FirstCry data into actionable insights — improving pricing agility, campaign ROI, and inventory efficiency.

In the words of one client:

“Before Actowiz Solutions, we reacted to discounts. Now, we anticipate them.”

As the eCommerce landscape evolves, data scraping and retail intelligence will remain essential for brands that want to outpace competition during India’s biggest shopping seasons.

📩 Email Us:

✉️ sales@actowizsolutions.com


📞 Call or WhatsApp:

📱 +1 424 377 758 4


Source>> https://www.actowizsolutions.com/diaper-brands-firstcry-discount-tracking.php

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