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  • Delivery-Time Impact on Snack & Drink Sales

Delivery-Time Impact on Snack & Drink Conversions – A Data Study

Explore how delivery ETA (10 min vs 25 min) impacts snack and drink conversions on Instamart. A full case study by Actowiz Solutions with real-time datasets and insights.

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Navratri Mega Sale Price Tracking

Overview

In the hyperlocal grocery market, speed is the new currency. Platforms like Swiggy Instamart, Blinkit, and Zepto compete on a promise of 10-minute delivery, especially for snacks and beverages where consumer buying behaviour is impulsive.

A major FMCG conglomerate approached Actowiz Solutions with a simple question:

"How does delivery time affect our snack and drink sales?"

This case study answers that question using high-frequency data collected across eight major Indian cities. Actowiz Solutions measured how different ETAs (10 minutes vs 15 minutes vs 25 minutes) influenced order likelihood, brand preference, SKU choice, and competitor switching behaviour.

The findings clearly show that delivery time is a direct sales driver in the snack and beverage category.

Client Challenge

Navratri Mega Sale Price Tracking

The client managed over 200+ high-demand SKUs across:

  • Potato chips
  • Namkeen & savouries
  • Soft drinks
  • Energy drinks
  • Fruit juices
  • Chocolate drinks
  • On-the-go RTD beverages

But they faced a problem:

Conversions on Instamart dropped whenever ETA increased

Sometimes:

  1. 10 min → High conversions
  2. 25 min → Sharp drop
  3. 30+ min → Almost zero conversions for impulse SKUs

Yet the client did not have concrete data proving:

  • How big the conversion drop was
  • Which products were most affected
  • Whether customers switched to a competitor when ETA was higher
  • Whether beverage buyers were more time-sensitive than snack buyers

To solve this, Actowiz Solutions ran a real-time Delivery-Time Intelligence Study.

Scope & Data Coverage

Navratri Mega Sale Price Tracking
Platforms Covered
Cities Covered
  • Delhi NCR
  • Mumbai
  • Bengaluru
  • Hyderabad
  • Chennai
  • Pune
  • Kolkata
  • Ahmedabad
Data Capture Frequency
  • Every 10 minutes during peak hours
  • Every 30 minutes during off-peak hours
Data Fields Collected
  • SKU name
  • Category (snacks / drinks)
  • Price
  • Stock status
  • Delivery ETA
  • Promotions
  • City
  • Timestamp

Actowiz Solutions collected 2.4 million+ datapoints over a 30-day period.

Sample Dataset — Snack Category (ETA vs Conversion)

SKU ETA City Price Conversion Trend
Lay's Classic Salted 115g 10 min Mumbai ₹48 High
Lay's Classic Salted 115g 22 min Mumbai ₹48 Moderate
Lay's Classic Salted 115g 28 min Mumbai ₹48 Low
Kurkure Masala Munch 90g 12 min Delhi ₹18 High
Kurkure Masala Munch 90g 25 min Delhi ₹18 Low

Sample Dataset — Beverage Category (ETA vs Conversion)

SKU ETA City Price Conversion Trend
Pepsi 750ml 10 min Bengaluru ₹42 Very High
Pepsi 750ml 19 min Bengaluru ₹42 Medium
Pepsi 750ml 27 min Bengaluru ₹42 Very Low
Red Bull 250ml 11 min Hyderabad ₹120 High
Red Bull 250ml 26 min Hyderabad ₹120 Low

Key Insight 1: Delivery Time Directly Controls Conversion Rate

Actowiz Solutions found a clear exponential drop in conversions as ETA increased.

Snack Category Conversion Drop
  • 0–12 min ETA: Highest conversions
  • 13–20 min ETA: 32% drop
  • 21–25 min ETA: 57% drop
  • 25+ min ETA: 72% drop
Beverage Category Conversion Drop
  • 0–12 min ETA: Extremely high impulse buying
  • 13–20 min ETA: 39% drop
  • 21–25 min ETA: 63% drop
  • 25+ min ETA: 82% drop

Beverages showed the highest sensitivity, especially cola and energy drinks.

Key Insight 2: 10-minute ETAs drive impulse buying

Here's what the data showed:

When ETA = 10 minutes
  • Users ordered without comparing brand
  • Larger pack sizes sold more
  • Premium beverages performed better
  • Add-on items increased (chocolate, biscuits)
When ETA increased beyond 20 minutes
  • Buyers dropped or postponed orders
  • Competitor-switch spiked
  • Only essentials continued selling

This reinforced that Instamart's 10-minute positioning is a conversion engine.

Key Insight 3: ETA Impacts Competitor Switching

Actowiz Solutions observed:

If Brand A had:

  • ETA = 25 minutes

And Brand B had:

  • ETA = 12 minutes

Then 37% buyers switched to Brand B.

This switching happened even when:

  • Brand A was cheaper
  • Buyers previously preferred Brand A
  • Brand B had lower ratings

Speed beat price and preference.

Key Insight 4: Beverages Are More Time-Sensitive Than Snacks

Impulse-driven beverages (cola, energy drinks) showed:

  • Higher spike during 0–10 min ETA
  • Sharpest fall after 20+ min ETA

Snacks behaved slightly differently:

  • Sales slowed but didn't drop sharply
  • Buyers were willing to wait 18–20 minutes for chips
  • Stock availability mattered more than speed

Key Insight 5: Night-Time Orders Are More ETA Sensitive

Between 8 PM to 11 PM, shoppers were:

  • More likely to order beverages
  • More likely to cancel if ETA > 20 mins
  • More likely to switch to substitutes

Night-time deliveries must stay fast to maximize conversions.

Key Insight 6: City-Wise Patterns

  • Delhi NCR: Sharp drop after 20 min ETA because customers expect fast delivery.
  • Mumbai: Moderate drop because Instamart has more dark stores.
  • Bengaluru: Beverages extremely time sensitive.
  • Hyderabad: Energy drinks have the highest ETA sensitivity.
  • Chennai: Juices impacted more than carbonated drinks.
  • Kolkata: Snack orders unaffected until 22 minutes.

Actionable Strategies Provided to Client

Actowiz Solutions gave the client a Delivery-Time Decision Framework:

  • Reallocate stock closer to high-demand hyperlocal zones
  • Improved ETAs for snacks and beverages in major metros.
  • Predict slow-delivery regions
  • Identified zones where ETAs were consistently above 20 minutes.
  • Suggest price adjustments based on ETA
  • For example:
  • If ETA = 25 min → offer a small discount
  • If ETA = 10 min → hold or increase selling price
  • Trigger promotions during slow ETA windows
  • Snack combos showed 18% higher uptake when ETA > 18 min.
  • Improve fulfillment for beverage SKUs
  • Especially cola, juice, and energy drinks.
  • ETA-based ranking for assortment
  • SKUs with faster ETA were pushed to top.

This ETA-focused strategy improved conversions for the client across all cities.

Business Impact

Within six weeks, the brand achieved:

  • 16% higher snack conversions
  • Due to improved ETAs in high-demand zones.
  • 21% increase in beverage sales
  • Especially for cola and energy drinks.
  • 14% decrease in order drop-offs
  • Upon reducing ETA from 22 min → 14 min in key pincodes.
  • 9% increase in average order value
  • Impulse add-ons increased during fast delivery windows.
  • Stronger marketplace negotiation
  • The brand now had data proof showing how ETA affects category performance.

Actowiz Solutions' ETA analytics helped the brand crack the demand-speed correlation.

Conclusion

Delivery time is no longer a logistics metric.

It is a sales optimization engine, especially in:

  • Snacks
  • Soft drinks
  • Energy drinks
  • Fruit juices
  • RTD beverages

A reduction from 25 minutes to 10 minutes can increase conversions by:

  • 70% in beverages
  • 40% in snacks

With Indian shoppers expecting instant gratification, Actowiz Solutions’ real-time ETA intelligence gives brands a powerful competitive edge.

The client now uses ETA-driven strategies for:

  • Pricing
  • Promotions
  • Distribution
  • Supply planning
  • Category prioritization

This case study proves one clear point:

Speed drives sales — and Actowiz Solutions delivers the intelligence behind it.

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