Engagement & Retention project | Jubilant FoodWorks*
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Engagement & Retention project | Jubilant FoodWorks*

Understand Your Product

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Core Value Proposition

The core value of the Domino’s India App is delivering a fast, affordable, and convenient pizza experience through:

  1. Flexible Ordering: Delivery, takeaway, and dine-in options, delivery to train for all occasions.
  2. Speed and Reliability: 20-minute delivery promise with real-time tracking.
  3. Affordability: Value-driven offers, combo deals, and discounts.
  4. Seamless Experience: User-friendly interface, easy payment options, and customization.

Bottom Line: The Domino's app ensures that users have the best Domino's pizza experience.


How do users experience this currently?


  • By browsing Domino’s menu with curated options like vegetarian, non-vegetarian, combos, and sides.
  • By viewing tempting images and offers to choose meals that suit their taste and budget.
  • By finding nearby Domino’s outlets within a 5-10 KM range for faster delivery.
  • By placing orders using offers, coupons, UPI, bank cards, or cash on delivery.
  • By receiving pizzas on time with Domino’s 20-minute delivery promise, ensuring hot and fresh food.
  • By customizing their orders, such as selecting crust type, extra cheese, or toppings.
  • By resolving issues quickly, like delays or wrong orders, through Domino’s robust customer support.
  • By pre-ordering meals for specific times, making it convenient for gatherings or events.
  • By enjoying the flexibility of dine-in, takeaway, or delivery options, including unique services like delivery on trains.
  • By tracking orders in real time for a seamless delivery experience.

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Who is an Active User of the Domino’s India App?

An active user is any customer who places an order via the Domino’s India App within 90 days, regardless of the fulfilment mode:
  • Delivery Orders: Placed through the app for home delivery.
  • Takeaway Orders: Placed on the app for in-store pickup.
  • Dine-in Orders: Placed via the app while dining at a Domino's outlet.
  • Train Delivery Orders: Placed through the app for delivery directly to train seats.

What is the Natural Frequency of Using a Product?

The natural frequency of using a product refers to how often users typically engage with or consume the product, based on its relevance to their lifestyle, utility, and consumption habits. For a product like Domino’s Pizza, this frequency is influenced by how often consumers choose to have it in a given period.

Pizza isn’t consumed daily like meals from Zomato or Swiggy due to its high-calorie content, lack of nutritional variety, and perception as an indulgent treat. Its rich, heavy nature and limited flexibility make it unsuitable for multiple meals a day, leading to monotony and a natural cap on consumption.

Natural Frequency of Domino's Pizza App Usage

Domino’s natural frequency aligns with its product appeal as a casual or indulgent meal option, making it suitable for occasional or weekly use, depending on the user's habits. The following table outlines user segmentation based on frequency and spending:


User SegmentFrequencyAverage Order Value (AOV)JTBDFeatures UsedExplanation

Casual User

1-2 times in 60 days

₹350-500

Functional

Delivery, discounts and offers, value combo meals

Occasional users who order for special occasions, celebrations, or cravings. Represents a significant user base.

Core User

1-2 times per month

₹450-500

Functional

Delivery, Dine-in, Takeaway, Discounst, Everday Value Meal

Regular users who integrate Domino's into their monthly meals, are often driven by discounts and offers.

Power User

3+ times per month

₹450-700

Functional

Social

Delivery, Takeaway, Dine-in, Train Delivery, Bulk Order, Scheduled Order, cheesy rewards, everyday value meal

Highly engaged users who rely on Domino's for frequent, convenient, and affordable meals, often using advanced features.


Engagement Framework for Domino’s India App

Understanding how users engage with the Domino’s India app can be broken down into three dimensions: Frequency, Depth, and Breadth. These metrics help analyze user behaviour and identify areas to enhance the app’s overall user experience. Here’s an easy-to-read explanation:


1. Frequency

Definition: Frequency measures how often a user places an order through the Domino’s app within a specific period (e.g., weekly or monthly).
Why It Matters: Frequency is the most important metric for Domino’s, as it directly impacts customer retention and revenue. Regular orders show customer reliance on Domino’s for their food needs.
Example:

  • Casual Users: 1-2 orders every 60 days for special occasions.
  • Core Users: 1-2 orders per month for family meals or small events.
  • Power Users: 3-4 orders per month, including frequent meals or office lunches

2. Depth

Definition: Depth measures how much money a user spends on the app per order or over time.
Why It Matters: While not the primary metric, depth helps Domino’s understand revenue potential from individual users. Spending more often unlocks better offers since discounts are usually percentage-based. This encourages users to spend more, thereby increasing their order value.
Example:

  • Higher spending could also mean adding sides like garlic bread, desserts, or beverages to the order, contributing to a better user experience while increasing Domino’s revenue.

3. Breadth

Definition: Breadth tracks the variety of app features that users engage with, like delivery, takeaway, dine-in, bulk ordering, or unique services such as delivery to trains.
Why It Matters: Breadth highlights how versatile the app is in meeting user needs beyond standard orders. Using multiple features indicates strong app engagement and reliance.
Example:

  • Features like app-exclusive deals (e.g., 1+1 offers, Everyday Value Meals) and coupons add further value and incentivize user engagement.

Engagement Framework Table

Engagement MetricKey Tracking MetricRelevance/SelectedRationale

Frequency

Number of Orders in a Week

Primary

Reflects how often users interact with the app to place orders, a critical factor for user retention and revenue.

Depth

Amount of Money Spent on the App

Secondary

Spending more increases access to better discounts and offers, encouraging higher order value.

Breadth

Features Used in the App

-

Tracks how users engage with services like delivery, takeaway, dine-in, bulk orders, or app-exclusive deals.

Why Frequency is Key

Frequency provides the clearest measure of customer loyalty and recurring revenue, making it the most actionable and impactful engagement metric. Depth and breadth are valuable but depend on users first ordering consistently. User psychology suggests that depth and breadth grow over time, but it all starts with users ordering regularly.


Extra


image.pnghttps://www.researchgate.net/publication/50231166_Boost_Customer_Loyalty_with_Online_Support_The_Case_of_Mobile_Telecoms_Providers


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Retention design

Retention measures how long users continue to engage with an app after their first use. It's critical for understanding loyalty and improving the user experience. Domino’s India retention data aligns with industry standards but shows room for improvement beyond Day 7.

Bird's-eye view

  • Speed-Driven Legacy: Domino’s leads the instant delivery landscape, with 7 out of 10 orders delivered within 20 minutes, setting a benchmark even before 10-minute delivery became a trend.
  • Exclusive Channels: 33% of online orders come from Domino's app and website, driven by exclusive offers that reduce reliance on aggregators like Swiggy and Zomato.
  • Market Adaptability: Domino's embraced 20-minute delivery in 2023, outperforming competitors with optimized systems and pizzas ideal for quick delivery.
  • Affordable Offers: Free delivery for orders above ₹150 (lower than competitors) has boosted small-ticket volumes while maintaining steady prices for over two years.
  • Sales & Engagement Growth: Q1 FY 2025 saw an 8.5% sales growth (~₹1,400 crore) and a 17.5% increase in active app users to 12.1 million.
  • Global Trends Alignment: With a focus on delivery and carryout, Domino’s adapts to changing consumer preferences, ensuring long-term growth in a competitive market.

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Source: https://the-ken.com/tradetricks/dominos-is-playing-to-its-strengths/


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The retention curve for Domino’s India App shows a steep drop from Day 1 (25.8%) to Day 7 (19.8%), with a slower decline to Day 15 (17.2%) and then a significant stabilization towards Day 30 (5.91%), This indicates a steep drop-off after Day 1, highlighting the need for strong early engagement strategies. Post-Day 7, users who stay show higher loyalty, offering a key window for reinforcing retention with personalized offers and rewards.


Retention Analysis: Domino’s vs Industry Benchmarks

Domino's India App demonstrates competitive retention performance with room for improvement in long-term engagement:

Retention Interval

Domino’s India App

Industry Benchmarks (Food Delivery)

Day 1

25.8%

30-40%

Day 7

19.8%

15-25%

Day 15

17.2%

Not commonly tracked

Day 30

5.91%

3-8%

Industry Benchmarks for Food Delivery Apps: Day 1 (30-40%), Day 7 (15-25%), Day 30 (3-8%).

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Key Insights:

  1. Day 1 Retention: Slightly below benchmarks, indicating opportunities to enhance early engagement with better onboarding and first-order incentives.
  2. Day 7 Retention: Strong at 19.8%, demonstrating effective short-term engagement tactics like push notifications and limited-time offers.
  3. Day 15 Retention: Retention stabilizes at 17.2%, showing moderate user stickiness but room for increased mid-term loyalty programs.
  4. Day 30 Retention: At 5.91%, Domino’s aligns with industry standards, though strategies are needed to extend user lifetime value.

Strategies for Improvement:

  1. Day 1 & Day 7: Enhance onboarding with app walkthroughs, personalized welcome offers, and tailored notifications to boost early engagement.
  2. Day 15: Introduce mid-term engagement strategies like gamified loyalty rewards or app-exclusive streak bonuses.
  3. Day 30: Strengthen long-term retention with subscription-based meal plans, discounts for recurring orders, and exclusive deals.


Microscopic View


ICP Retention Insights for Domino's App

ICPPowerCore

Characterized by

- Extremely high frequency (3+ orders per month). - Reasonable AOV (₹300-500). - Avg. monthly spend ~₹2500.

- Consistent frequency (1-2 orders per month). - High AOV (₹450-500). - Avg. monthly spend ~₹1500.

Behaviour

- Loyal to the brand, willing to try new menu items or explore premium offerings. - Open to experimenting with customization and combos.

- Loyal to specific products such as Everyday Value Meals and One Plus One Offers. - Driven by convenience and affordability.

Retention Insights

- Retention is high due to overall brand affinity and openness to exploring new products. - Engages deeply with personalized offers and new features.

- Retention is high due to stickiness to affordable product bundles (e.g., combo deals). - Often influenced by offers and deals to maintain loyalty.

User Insights

- Engages in frequent, routine orders (e.g., lunch, dinner). - Likely to use app-exclusive features like delivery on the train or bulk ordering.

- Orders primarily for family or small social gatherings. - Often prefers value-driven options like dine-in discounts or takeaway deals.

Why Retention Works

- The versatility and innovative brand offerings keep them engaged. - Strong loyalty to the brand encourages continuous app engagement.

- The affordability and consistency of the products align with their needs. - Offers create a perceived higher value for money.

What channels drive the best retention?

ChannelInsightsWhy It Works

Word of Mouth (WoM)

Friends & family recommendations drive high retention. 37/50 users would recommend Domino's.

Peer opinions are trusted and considered unbiased, leading to increased app usage and loyalty.

Organic Channels

~80% of users discovered Domino's via app stores or the website.

The high-intent audience actively seeking Domino's ensures cost-effective, long-term retention.

Referral Programs

Referral incentives for users to recommend the app to others.

Positive brand perception boosts referrals and attracts high-quality, engaged users.

Push Notifications

Personalized offers and reminders effectively re-engage inactive users.

Timely nudges aligned with user behaviour create urgency and increase app session frequency.

Loyalty Programs

App-exclusive perks and redeemable points encourage repeated app usage.

Users feel rewarded for their loyalty, driving consistent engagement and order frequency.

Social Media Ads

- Targeted ads on Instagram, Facebook, and YouTube highlight discounts and new features.

- Targeted ads on Instagram, Facebook, and YouTube highlight discounts and new features.

Emails

- Retention-focused emails (e.g., personalized offers, reminders) consistently bring users back to the app.

Direct channel for personalized communication with measurable open and click-through rates.


What sub-features or sub-products drive the best retention?

Feature/Sub-ProductInsightsWhy It Drives Retention

Everyday Value Meals

Highly popular due to affordability and bundling options (e.g., 2 medium pizzas at a discounted price).

Appeals to budget-conscious users and families, making Domino’s a go-to option for group meals.

One Plus One Offers

Frequently availed, especially by younger audiences and group orders.

Provides value and encourages higher order frequency, especially for casual and loyal users.

App Delivery (75%)

The dominant use case for the app is preferred for convenience and real-time tracking.

Ensures seamless delivery experience, building trust and habit-forming behaviour among users.

Dine-In (15%)

Popular among families and social occasions.

Strengthens the brand's offline presence and allows users to redeem app-exclusive dine-in offers.

Takeaway (6%)

Used for quick pickups by users who prefer saving on delivery fees.

Convenient for users near Domino’s outlets and complements busy lifestyles.

Delivery on Train (4%)

Unique offering for train travellers, ensuring hot pizzas are delivered to their seats.

Creates a niche retention channel for travellers, adding novelty to the brand.

Personalized Offers

Deals tailored to user preferences based on order history and app usage.

Creates a sense of exclusivity and drives re-engagement through relevant discounts.

Real-Time Delivery Tracking

Users value the ability to track their orders in real time.

Builds trust and enhances the overall experience, especially for time-sensitive orders.


Voluntary Churn:
Voluntary churn occurs when customers actively decide to stop using the Domino’s India App due to factors that are within the company/product's control. These factors often stem from dissatisfaction with app performance, user experience, pricing, product value, or availability of superior alternatives.

ReasonDescription

Poor User Experience

Bugs, crashes, confusing navigation, or slow app performance discourage users from placing orders.

High Pricing

Users perceive Domino’s pizzas and sides as expensive, especially when no discounts or offers are available.

Strong Competition

Competitor brands (e.g., Pizza Hut, La Pino’z) or food delivery platforms (Swiggy, Zomato) offer better deals, variety, or user experience.

Lack of Value Proposition

Customers feel the app does not offer sufficient value in terms of exclusive offers, effective loyalty rewards, or product variety.

Lack of Awareness

Users are unaware of new pizza variants, seasonal offers, or app-specific features, reducing engagement.

Inadequate Customer Support

Slow issue resolution, delayed refunds, or unhelpful support negatively impact user satisfaction.

Frequent App Updates

Constant updates that disrupt user experience or force behavioural adjustments frustrate users.

Annoying Notifications

Excessive or irrelevant notifications frustrate users and lead them to uninstall the app.

Insufficient Inventory

Items going out of stock, cause user dissatisfaction resulting in a lack of engagement.

Rude Staff behaviour

As Domino's rider or store manager can lead to voluntary churn

Involuntary Churn:

Involuntary churn occurs when customers stop using the Domino’s India App due to uncontrollable factors that are beyond the company’s control. These are typically external circumstances like unserviceable locations, technical failures, or personal health-related issues.


ReasonDescription

Unserviceable Locations

Users move to areas where Domino’s delivery services are unavailable, leading to discontinued app use.

Lack of Phone Storage

Limited device storage forces users to delete apps, including Domino’s, to prioritize essential applications.

Health Concerns

Users with dietary restrictions, allergies, or health-related issues (physical or mental) avoid ordering pizzas.

Social Stigma or Food Bans

Cultural beliefs, dietary trends, or social stigmas surrounding specific food items reduce app usage.

Payment or Technical Failures

Failed transactions, poor internet connectivity, or app crashes prevent successful order placements.

Device Issues

Problems like phone malfunctions, outdated operating systems, or incompatible app versions restrict access.


Negative Actions to Look For:

Negative actions refer to specific behaviours exhibited by users that indicate a decline in engagement, satisfaction, or loyalty toward the Domino’s India App. These actions can directly impact revenue, customer retention, and overall business performance.


ParameterDescriptionImpact

App Uninstall

Users uninstall the app due to dissatisfaction, storage issues, or better alternatives.

Complete loss of engagement and revenue.

Cart Abandonment

Users add items to their cart but exit without completing the purchase.

Reduced conversion rates and revenue loss.

Reduced Average Order Value

Users place smaller orders, switching to cheaper alternatives or buying fewer items.

Lower transaction value and decreased revenue.

Reduced Order Frequency

Users order less often, driven by competitor satisfaction or lack of app value.

Decline in revenue and reduced Customer Lifetime Value (CLV).

Inactive or Dormant Accounts

Users stop using the app, signalling disengagement and loss of interest.

Loss of user engagement and potential revenue.

Negative Reviews/Ratings

Poor reviews or ratings due to dissatisfaction with the app or service.

Damages brand reputation and deters new users.

Increased Customer Tickets

A rise in complaints due to app bugs, delivery delays, or order errors.

Indicates poor experience, increasing churn risk.

Reduced Session Time

Users spend less time on the app, showing decreased interest in exploring menus or deals.

Lower engagement and fewer opportunities for conversions.

More Refund Requests

Frequent refund requests caused by order issues or delays.

Revenue loss, higher operational costs, and reduced user trust.

Low CSAT/NPS

Low satisfaction scores from feedback surveys indicating dissatisfaction with service/product.

Negative word-of-mouth, poor reviews, and damaged business reputation.





























Design resurrection campaigns

Resurrection Campaigns

Resurrection campaigns are part of the product lifecycle aimed at reactivating users who no longer engage with the app. Resurrecting inactive users is crucial because it’s more cost-effective to retain existing users than to acquire new ones. Additionally, successful reactivation enhances customer lifetime value, ensuring long-term loyalty and higher returns.

Campaign 1: For Power to Core Campaign

CategoryDetails

User Type

Previously loyal/Power users who ordered 4-5 times a month but now reduced to 1-2 orders. Likely churn reasons include monotony, exploring external food options, or lack of motivation.

Goal

Re-engage power users and restore loyalty by offering value-added perks.

Pitch/Content

"Step into Domino’s Priority Club and elevate your pizza experience!"

🍕 Free Delivery for 30 days

🍕 ₹150 off for 3 consecutive orders above ₹500

🍕 Exclusive access to new menu items and feedback perks.

Offer

Free delivery for 30 days.

₹150 off for 3 consecutive orders above ₹500.

Free sides with new menu experiments.

Frequency & Timing

Weekly push notifications every Friday and Saturday, during peak dinner hours (5-9 PM).

Success Metrics

- Increase in monthly orders.

- Higher engagement with app sections (e.g., “Deals” and “New Menu”).

- Boost in revenue and NPS.

How to Make It Fail-Proof

- A/B test messaging and timing.

- Test Priority Club benefits with a panel of power users pre-launch.

- Run usability tests to ensure ease of offer redemption.


Campaign 2: For Core to Casual Users

CategoryDetails

User Type

Core users who previously ordered 1-2 times a month but haven’t ordered in the last 30 days. Likely churn reasons include lack of motivation or competing priorities.

Goal

Restore order frequency to at least 1/month by offering strong discounts and cashback incentives.

Pitch/Content

"It’s been a while—let’s treat you to something delicious!"

🍕 ₹200 off on ₹599 or ₹125 off on ₹399.

🍕 Unlock ₹100 Domino’s cashback on your next 3 orders.

Offer

₹200 off on orders above ₹599 or ₹125 off on orders above ₹399.

₹100 cashback on the next 3 orders.

Frequency & Timing

- First message after 30 days of inactivity.

- Biweekly reminders for the next month.

Success Metrics

- Increase in redemption of cashback offers.

- Higher coupon usage rates.

- Restored order frequency.

How to Make It Fail-Proof

- Optimize promo codes for visibility in the app.

- Test timing to align with peak ordering days (e.g., weekends).

- Use follow-up nudges for unredeemed offers.


Campaign 3: For Casual to Less Frequent Users

CategoryDetails

User Type

Occasional users (1 order every 2-3 months) who haven’t ordered in the last 60 days. Likely churn reasons include irregular habits or forgetting about Domino’s.

Goal

Reactivate users and increase their frequency with limited-time offers and exclusive combos.

Pitch/Content

"Skip cooking tonight. Your favourite pizza is just a tap away!"

🍕 Flat 30% off on all pizzas for the next 5 days.

🍕 Special combo deals at ₹599.

Offer

Flat 30% off on pizzas for 5 days.

2 medium pizzas + garlic bread + coke at ₹599.

Frequency & Timing

First message after 60 days of inactivity.

Monthly follow-ups with refreshed deals.

Success Metrics

- Reactivation rate.

- Redemption of combo deals.

- Increase in repeat orders over 3 months.

How to Make It Fail-Proof

- Use urgency-driven messaging (e.g., “Last 24 hours!”).

- Refresh deals monthly to maintain interest.

- Add exclusive combos targeting families and groups.

Campaign 4: For Hibernating Users

CategoryDetails

User Type

Users are inactive for 90+ days. Likely churn reasons include long-term disengagement or switching to competitors.

Goal

Reactivate dormant users and drive repeat purchases.

Pitch/Content

"We miss you! Let us bring the joy of pizza back into your life."

🍕 ₹300 off on comeback orders above ₹699 (Promo Code: BACK300).

🍕 Free delivery for 2 weeks.

Offer

₹300 off on comeback orders above ₹699.

Free delivery for 2 weeks.

Frequency & Timing

- First message at 90 days.

- Monthly follow-ups until 6 months of inactivity.

Success Metrics

- Redemption rate of comeback offers.

- Conversion to regular ordering.

- Average order value post-activation.

How to Make It Fail-Proof

- Personalize messaging with user names or past favourites.

- Send reminders about expiring comeback offers.

- Test offers to find the best conversion rates.

Campaign 5: For Birthday Special Treats

CategoryDetails

User Type

Loyal+ Power Users with upcoming birthdays. Likely churn reasons include a lack of personal connection with the brand.

Goal

Build emotional loyalty by celebrating user milestones.

Pitch/Content

"🎉 Happy Birthday, [User Name]! 🎉 Celebrate with us and enjoy a FREE Garlic Breadstick and Choco Lava Cake with any order above ₹299!"

Offer

Free Garlic Breadstick and Choco Lava Cake for orders above ₹299.

Frequency & Timing

- Trigger 7 days before the user’s birthday.

- Reminder on their birthday.

Success Metrics

- Increase in birthday orders.

- Positive user sentiment and higher loyalty.

How to Make It Fail-Proof

- Personalize messaging to include user names.

- Offer festive packaging or greetings with orders.

- Collect feedback to refine birthday campaigns.

Additional Campaigns

6. Lapsed Festive Buyers

Segmentation: Users who ordered during special occasions but haven’t returned.
Pitch: "Celebrate every day like it’s a festival—special treats await!"
Offer: Festival-inspired combos with flat 25% off.

7. Weekend Boosters

Segmentation: Casual users are likely to order on weekends.
Pitch: "Make your weekend extra cheesy with Domino’s!"
Offer: Free dessert on all weekend orders above ₹599.

App users whose notifications are disabled

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App Nudge for Ressurected Users:

  1. Users who have uninstalled the app: A nudge in the PWA to download the app. A banner was placed in the session to nudge to download the app.

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Additional Strategies to Resurrect Users

Dine-In Strategies

  1. Promote App Downloads:
    • If the user doesn’t have the app, store staff can inform them about app-exclusive discounts and offer free sides (e.g., garlic bread or Choco Lava Cake) upon downloading and placing their next order.
    • Provide QR codes on table tents or receipts for quick app installation.
  2. Reinstallation Incentives:
    • For users who uninstalled the app, staff can encourage reinstallation by highlighting offers like a 10% discount or free sides on their next purchase.
  3. In-Store Engagement:
    • Staff can guide users to explore app features like pre-ordering or customization, showing its ease of use and additional benefits like not waiting for long queues or easy order tracking.

Aggregator Order Strategies

  1. Physical Discount Cards:
    • Include discount cards with every aggregator order (delivered by Domino’s riders) to incentivize users to order directly from the Domino’s app next time.
    • Discounts could range from 10–20% or free sides for direct app orders.
  2. Aggregator-to-App Transition:
    • Add QR codes on discount cards linking directly to the app’s download page or promotional deals to make switching platforms effortless.
  3. Exclusive Rewards for App Orders:
    • Inform users via packaging or promotional inserts that app orders offer loyalty points, better deals, or combo discounts unavailable on aggregators.

Cross-Channel Strategies

  1. Loyalty Rewards Integration:
    • Implement a unified loyalty program across dine-in and online channels, rewarding users for every interaction, whether in-store or via the app. It would help if the users could get access to other Jubilant FoodWorks brands like Popeye's, Dunkin or Hong's kitchen
  2. Event Invitations:
    • Invite users who’ve interacted offline (e.g., dine-in or aggregator orders) to exclusive events or promotions via SMS or email, with app download incentives included.
  3. Feedback for Rewards:
    • Encourage users to leave feedback on their experience and reward them with app-only perks or discounts, creating a seamless re-engagement loop.



I know this was way long! 🙈 But I got carried away. Thank you for reading this. 🙏 Gratitude! 🌟

















































Product hook and engagement campaigns

Engagement Campaigns

Before diving into the campaigns, let’s first explore what drives engagement in Domino’s app—insights gathered through user interviews and supported by secondary research.

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Campaigns! Let's deep dive!



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Campaign 1: Enjoy Free Paneer Garlic Bread or Choco Lava

Segmentation

All users types

Goal of the Campaign

Drive impulse purchases through limited-time discounts.

Pitch/Content

✨ Make Your Meal Extra Special! ✨

Get a FREE Paneer Garlic Bread or Choco Lava Cake with every order above ₹299!

✅ Satisfy your cravings with a delicious freebie.

Order now and indulge! 👇

[Order Now Button]

Offer

Free Paneer Garlic Bread or Choco Lava Cake on orders above ₹299

Medium

Push Notifications, In-App Banners, email and Social Media Ads

Frequency

Once a month to maintain novelty and drive engagement.

Timing

Thursdays and Sundays to target weekend planners and pre-weekend treat seekers.

Success Metrics

Increase in orders, redemption rates, and AOV growth.

Other Metrics to Track

Email open rates, CTR on banners, percentage of new users availing the offer.

Ramp-Up Milestone

  • Pilot in select cities to assess engagement rates.
  • Expand nationally if CTR and order frequency increase.
  • Gradually expand the offer to higher-value orders (e.g., free dessert on ₹500+ orders).

Failproof Strategy

  • Test different free item options to see what users prefer most.
  • Highlight the offer prominently in the app for visibility.
  • A/B test messaging to optimize click-through rates.
  • Why This Cohort?
    The campaign targets all users to encourage engagement across the board. It appeals to Casual Users seeking occasional treats, Core Users who regularly order, and Power Users who enjoy additional value.
  • Psychological Phenomena:
    • Reciprocity Effect: Users feel rewarded with a free item, creating positive reinforcement.
    • Loss Aversion/FOMO: Missing out on a free item encourages users to meet the minimum order value.
  • User Insights:
    • Many users hesitate to order without a compelling reason; free items provide a tangible incentive.
    • Add-ons like garlic bread or Choco Lava Cake are consistently top-performing items, making them ideal rewards.

This campaign leverages user preferences and psychological triggers to increase engagement, order frequency, and AOV.


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Campaign 2: Get One Plus One at ₹99

Segmentation

In Danger Users to Casual Users, Casual to Core

Goal of the Campaign

Drive immediate engagement and make less frequent users order more

Pitch/Content

✨ Double the Treat for ₹99! ✨

Get one pizza and another for just ₹99! Treat yourself to twice the flavour for half the price.

🍕 Deal Highlights:

✅ Buy 1 pizza, get another at ₹99.

✅ Available on select menu items.

Don’t wait—this deal is calling your name! Order now 👇

[Order Now Button]

Offer

Buy 1 Get 1 at ₹99 each, on selected items

Medium

Push Notifications, In-App Banners, and Social Media Ads

Frequency

Monthly to quarterly based on engagement.

Timing

Evening hours (5–8 PM) on weekdays and Weekends (Friday–Sunday) for maximum impact

Success Metrics

  • Reactivated users offer redemption rates.
  • Repeat order rate
  • Number of buy-one-get-one orders placed

Other Metrics to Track

Cart completions, session time.

Ramp-Up Milestones

  • Launch during a festive weekend.
  • Expand to all weekends.
  • Add dynamic offers for weekday slow periods.

Failproof Strategy

  • Ensure menu options include popular pizzas to drive excitement.
  • Use notifications to remind users about the deal.
  • Monitor redemption rates to fine-tune offer timings.
  • Why Targeted Cohort? In Danger users and casual users need strong incentives to come back.
  • Psychological Phenomena:
    • Reciprocity: Offering a second pizza at ₹99 feels like a reward for placing an order.
    • FOMO: Limited-time nature creates urgency, prompting action.
  • User Insights:
    • Cart abandonment is common in this segment, so a low entry price motivates them to complete transactions.
    • Price-sensitive users respond well to value-based deals.




image.png


Campaign 3: Domino’s Flash Sales


Segmentation

Casual to Core Users

Goal of the Campaign

Drive impulse purchases through limited-time discounts.

Pitch/Content

🚨

Domino’s Flash Sale – Limited Time Only!

🚨

Hurry! Grab 30% off on select pizzas for the next 30 Minutes only.

Why wait?

✅ 30% OFF on select pizzas.

✅ Available exclusively on the app.

Act fast before time runs out! Order now 👇

[Order Now Button}

Offer

30% off on select menu items, Minimum order Rs 350

Medium

Push Notifications, In-App Banners, and Social Media Ads

Frequency

Twice a month

Timing

Evening hours (5–8 PM) on weekdays to boost mid-week engagement.

Success Metrics

Spike in orders during flash sales, engagement rate on notifications, and repeat buyers.

Other Metrics to Track

  • Increase in-app traffic during flash sales
  • Retention rates post-campaign
  • Notification CTRs, banner views.

Ramp-Up Milestones

  • Conduct two flash sales per month.
  • Scale frequency for regions with high engagement.
  • Introduce exclusive flash sale item

Failproof Strategy

  • Ensure app stability for high traffic.
  • Create urgency using countdown timers.
  • User Research to ensure optimised UX copy and experience is achieved.
  • Why Targeted Cohort? Casual Users are prone to impulse buying, especially during limited-time sales.
  • Psychological Phenomena:
    • Scarcity Principle: Limited time drives immediate decisions.
    • Temporal Discounting: Users prioritize instant gratification with quick, discounted offers.
  • User Insights:
    • Users frequently browse but hesitate to place orders due to cost; flash sales overcome this barrier.
    • Time-sensitive discounts align with users’ craving-driven behaviours.




Screenshot 2024-12-21 at 1.24.56 AM.png


Campaign 4: Enjoy Your Favorite Pizza at 20% Off


Segmentation

All

Goal of the Campaign

Increase order frequency and AOV by incentivizing favourite pizza orders.

Pitch/Content

Craving Domino’s? Get 20% off on your favourite pizzas today!

✅ 20% OFF on all orders above ₹500

🍕 Your favourite pizzas at unbeatable prices!

Order now and savour the goodness of Domino’s while saving big. Don’t miss out!👇

[Order Now Button]

Offer

30% off on orders above ₹500., up to Rs 180

Medium

Email, Push Notifications, In-App Banner

Frequency

Twice a month

Timing

Weekends (Friday–Sunday) to target higher footfall.

Success Metrics

Number of redemptions, AOV increase.

Other Metrics to Track

CTR of banners, Email open rates, Redemption rates.





  • Why Targeted Cohort? Core Users, Loyalists, and Busy Working Parents frequently order but seek value-driven incentives.
  • Psychological Phenomena:
    • Loss Aversion: Discount creates a perception of saving money, encouraging immediate action.
    • Anchoring Effect: Highlighting 20% off positions the deal as a high-value offer.
  • User Insights:
    • Users appreciate discounts that lower perceived meal costs without compromising their choice of pizza.
    • Many users prioritize offers over standard pricing, increasing engagement with promotions.

Campaign 5: Customize Your Pizza and Get 20% Off!

Segmentation

Core to Power

Goal of the Campaign

Promote customization features while driving engagement and increasing order frequency.

Pitch/Content

🍕 Create Your Perfect Pizza with 20% Off! 🍕

Your pizza, your way – customize it just the way you like it and enjoy a 20% discount!

✨ What’s in it for you?

✅ Choose your crust and sauce.

✅ Add your favourite toppings – extra cheese, veggies, chicken, and more!

✅ Enjoy 20% off on your fully customized pizza.

Don’t miss out on this delicious deal – customize and save now! 👇

[Customize Now Button]

Offer

20% off on customized pizzas for orders above ₹400, up to Rs 100

Medium

Email, Push Notifications, In-App Banner, Social Media Ads

Frequency

4 times a month to maintain consistency and engagement

Timing

Weekdays during lunch hours (12–2 PM) to encourage midday orders

Success Metrics

Increase in the number of customized pizzas ordered, redemption rates, and AOV growth

Other Metrics to Track

Email open rates, CTR on “Customize Now” buttons, increase in average toppings per order

Ramp-Up Milestones

  • Expand to regional favourites based on user preferences.
  • Integrate loyalty points for every favourite pizza ordered.

Failproof Strategy

  • Test different pizza favourites to identify high-demand items.
  • Provide clear instructions for coupon redemption.
  • Consistent experimentation with various variants and time to optimise results.
  • Why Targeted Cohort? Core Users are already engaged with the app but find customization confusing.
  • Psychological Phenomena:
    • Endowment Effect: Personalized orders feel more valuable to users.
    • Ease of Use: Streamlining the process with a discount lowers friction and encourages exploration.
  • User Insights:
    • Users prefer customization but find it unclear; an incentive motivates them to try again.
    • Feedback highlighted the need for simpler customization options.

A product hook is a feature or benefit that grabs users’ attention, keeps them engaged, and encourages repeat usage of the product. It aligns with user needs and expectations while offering a unique or compelling reason to choose your product over competitors.

Product Hook 1: Best Price Guarantee in Domino's App

Goal:

To reduce dependency on food aggregator platforms, attract users and habituate them to Domino’s app, and establish Domino’s as the most cost-effective and user-friendly platform for ordering pizzas.

Success Metric

  • 10% increase in repeat orders within three months of launch.
  • 5% reduction in cart abandonment.
  • Improved Net Promoter Score (NPS) and Customer Satisfaction Score (CSAT)
  • User Interviews with Cohort (Qualitative Data)

Problem Statement

Customers often compare Domino's pricing with competitors, leading to hesitation in placing orders and higher cart abandonment rates. During user interviews, users prefer ordering Domino’s through aggregator apps like Zomato and Swiggy due to:

  • Monetary Benefits: Flat discounts (₹50/₹100) and higher percentage savings on cart items.
  • Convenience: User-friendly interface and seamless payment options.
  • Extra Perks: Zomato Gold offers free delivery, additional discounts, and premium access, making it a one-stop solution.

User Insights:

  • “Zomato’s discounts and delivery charges are better—it’s more attractive overall.” - 25M, Delhi
  • “Zomato Gold offers free delivery and 20% discounts—it’s convenient and cost-effective.” 29F, Mumbai

Current Alternative

  • Price-sensitive customers manually compare prices across platforms or opt for discounts on aggregators like Zomato and Swiggy.
  • Prefer lower price point pizza from brands like OvernStory, and other Pizzaries.


User Insights

Segmentation targetted for this :

  1. Core Users: Regular customers who have shifted to food aggregators for better deals and convenience(better UX).
  2. Price-Sensitive Users: Customers whose ordering decisions are primarily influenced by discounts and free delivery offers.
  3. Occasional Users: Those who only order during promotions or specific occasions, often swayed by aggregators' variety and competitive pricing.

Key observations:

  • Perceived Monetary as well as better cleaner UX benefits are the primary motivation for aggregator usage.
  • User-friendly interfaces and convenience contribute to higher aggregator preference.
  • Delivery charges and the availability of better coupons make Zomato and Swiggy more appealing.

Solution

  1. 2x Refund if You Find a Better Price Than Domino’s
    • Builds trust by guaranteeing Domino’s has the best price, with a bold promise to double your refund if proven otherwise.
  2. Weather-Proof Prices
    • No surge pricing during rain or bad weather, making Domino’s the dependable option when others hike their rates.
  3. No Late-Night Fees
    • Order at midnight without worrying about extra charges. Convenience, without the extra cost.
  4. No Platform Fees
    • No hidden fees like aggregators charge. What you see is what you pay.
  5. App Exclusive Rewards
    • Unlock loyalty perks, bonus points, and special discounts only on the Domino’s app.
  6. Low Packaging Fees
    • Transparent, minimal packaging costs so you save even more.
  7. Free Delivery @ ₹149
    • Hit the sweet spot on savings with free delivery on orders above ₹149.

Why It Works

  • Solves the price complaints users have with other platforms.
  • Makes Domino’s app feel like the smarter, more rewarding choice.
  • Keeps users loyal with clear savings and exclusive perks.


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User Flow


Reinstallation and new users


image.png

Homepage


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Menu> Cart>Post order


image.png


Ramp Up Milestones

  1. Awareness (Month 1): Launch in-app banners, emails, and social media ads; track CTR and impressions.
  2. Adoption (Month 2): Monitor feature usage; target a 10% increase in repeat orders.
  3. Behavioural Impact (Month 2-3): Reduce cart abandonment by 5% and track app usage vs aggregators.
  4. Retention (Month 3-6): Improve NPS, and CSAT, and grow core/power user segments.
  5. Optimization (Ongoing): Collect user feedback and A/B test to refine engagement strategies.

How to Make This Feature Fail-Proof

  • Experiments: Conduct A/B testing for messaging (e.g., "Best Price Guarantee" vs. "Lowest Price Assurance") to determine the most effective language.
  • User Research: Interview 15-20 users of the cohort to validate the feature's appeal and address concerns about credibility.
  • Pilot Testing: Start with a small audience segment and measure response to refine the feature before scaling.
  • Usability Tests: Test the end-to-end process to ensure customers can easily understand and claim the guarantee.
  • Iterative Approach: Make incremental improvements based on feedback and usage data.

Note: "Fail-proof" does not mean the initiative cannot fail but ensures steps are taken to increase the likelihood of success and improve iteratively.


Product Hook 2: Scratch Card Coupons Post-Order


Goal

To enhance post-order engagement, increase repeat purchases, and create a rewarding user experience by offering scratch card coupons immediately after order completion.

Success Metric

  • Increase in repeat orders by 15% within 30 days.
  • 25% user engagement rate with scratch cards (e.g., scratched and redeemed).
  • Reduction in user churn post-first order by 10%.

Problem Statement

Users often place an order and disengage after completing it. There is minimal incentive for them to return and order again, leading to reduced repeat purchase rates.

Current Alternative

  • No immediate post-order engagement on the app screen.
  • Offers are sent through push notifications or emails, which have lower visibility and engagement rates.


User Flow

image.png

Solution

Summary:
Introduce interactive scratch card coupons on the post-order screen that offer discounts or rewards for the next purchase, encouraging users to stay engaged and return to the app sooner.

Detailed Version with User Flow:

  1. Trigger: The user successfully places an order.
  2. Post-Order Screen: A scratch card appears with messaging like:
    • "Congratulations! Scratch to reveal your next deal!"
  3. Scratch Interaction: The user scratches the card to reveal a reward (e.g., ₹100 off, free side item, 10% off next order).
  4. Reward Storage: The reward is automatically stored in the user’s wallet or promotions section.
  5. Redemption Flow:
    • The user places a new order and applies the reward at checkout.
    • Automated reminders for reward expiry create urgency.

Why It Would Work?

  1. User Insights:
    • Behavioural Insight: Users feel a sense of achievement and excitement with gamified interactions like scratch cards, enhancing the post-order experience.
    • Retention Insight: Immediate rewards motivate users to place repeat orders sooner. Studies show gamification increases app engagement by up to 30%.
    • FOMO (Fear of Missing Out): Scratch cards create a sense of exclusivity and urgency to redeem offers.
    • Emotional Connection: The surprise element of scratch cards adds a layer of fun, making users associate positive emotions with the Domino’s app.
  2. Market Trends:
    • Competitor apps like Swiggy and Zomato have successfully implemented gamified rewards to drive repeat orders.
    • Gamification aligns with millennial and Gen Z preferences for interactive app experiences.

Metrics to Track

  • Engagement Rate: Percentage of users interacting with the scratch card.
  • Redemption Rate: Percentage of revealed rewards redeemed in subsequent orders.
  • Repeat Purchase Rate: Increase in orders placed within 30 days of the initial order.
  • Churn Rate: Decrease in users disengaging after their first order.
  • Average Order Value (AOV): Impact of scratch card offers on user spending.

Ramp-Up Milestones

  1. Phase 1: Pilot with a small user segment to test engagement and redemption rates (first month).
  2. Phase 2: Expand to all users with additional reward tiers and gamification elements like surprise rewards (second and third months).
  3. Phase 3: Integrate personalized rewards based on user behaviour (e.g., frequent users get higher-value coupons).

How to Make It Fail-Proof

  • User Testing: A/B test rewards and UI to ensure appeal and ease of use.
  • User Research: Identify the most attractive offers (e.g., discounts, free items).
  • Personalization: Tailor rewards to user preferences and order history.
  • Technical Readiness: Ensure smooth functionality during peak times.
  • Nudges: Add reward expiry reminders to drive urgency.













































































Customer Segmentation

ICP 1- Bargain Hunter- Power User

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ICP 2- Minimalist | Young Professional- Core User

image.png

ICP 3- Loves Domino's but not the app - Casual User


image.png



CategoryICP 1: Bargain HunterICP 2: MinimalistICP 3: Loyal Forgetful User

Who

Stay-at-home mom managing a passive jewellery business

Young professional living with flatmates

Junior Data Analyst living with family

Age

36

25

21

Gender

Female

Male

Female

City

Mumbai

Chennai

Delhi

Income Range

₹8–12 LPA

₹5–8 LPA

₹4–6 LPA

Marital Status

Married

Single

Single

Lives With

Family

Flatmates

Family

Mode of Transport Used

Own vehicle, hatchback

Uber, Ola, Raido, local transportrt

Autorickshaw, family car drop and pickup

Social Apps Used

WhatsApp, Instagram, Facebook, Pinterest

WhatsApp, Instagram, Snapchat, LinkedIn

WhatsApp, LinkedIn, Snapchat, Instagram

OTT Apps Used

Netflix, Hotstar, Prime Video, Jio, SonyLiv, Youtube

Netflix, Hotstar, Prime Video (Shared accounts)

Hotstar, Prime Video, Jio Cinema (Family Accounts). Mostly elder siblings and friends

Hobbies

Spending time with family, exploring offers, meeting friends, OTT

Simplifying routines, reading, and trekking, gaming sessions

OTT content, reading, occasional outings with friends, spending time with family sometimes

Frequency of App Use

3–4 orders/month

1–2 orders/month

1–2 orders in 90 days

AOV Per Order

₹450–₹700

₹350–₹500

₹300–₹400

Order Type

Delivery, occasionally takeaway and dine-in with family, friends

Delivery, occasionally dine-in

Delivery only forgets advanced features

Features Used

Discounts, coupons, loyalty points

Simple navigation, personalized suggestions

Basic ordering

Primary Motivation

Value for money, leveraging discounts

Minimal effort, quick and clutter-free ordering

Loyalty to Domino's for reliability and low-effort ordering

Pain Points

Dislikes lack of discounts, prefers clear savings as the order value is more, assurance of getting best discounts

Prefers intuitive navigation, avoids app clutter or painful app experience

Tends to forget promotions and app updates as notifications are off

Triggers to Order

Special occasions, family gatherings

Lack of time to cook, quick meal needs

Rare cravings or family/friends demand

Engagement Strategies

Discounts, loyalty rewards, Kids crave pizza

Clean interface, easy reordering

Automated reminders, loyalty point rewards, trouble-free ordering along taste

Most Used Apps

Instagram, YouTube, Whatsapp, Facebook, Amazon, Myntra, Meesho, Jio Cinema & Hotstar

Instagram, YouTube, FNetflix, Primevideo, Hotstar, Myntra, Nykaa, Amazon, Flipcart & Whatsapp

Instagram, YouTube, Netflix, Nykaa, Hotstar, Amazon & WhatsApp, Reddit

Food Ordering Behaviour

Orders from outside at least 4-7 times as she runs a home office too.Uses Zomato more

Order 7-10 times a month

Mostly someone else orders food from either their brother or boyfriend, but sometimes open Swiggy to order quick meals or gift someone a meal as a gesture.

Power/Core/Casual

Power

Core

Casual

Advanced Segmentation:

SegmentDescriptionBehaviourTimelineUse CasesEngagement Strategy

Loyalists

Highly active and engaged users who consistently place orders.

Orders 4–5 times a month, uses multiple features like delivery, takeaway, and train delivery. Also responds well to the offers.

Consistently orders multiple times monthly, showing strong brand preference.

Relies on Domino’s for pizza orders for day-to-day and special occasions. Values reliability, speed, and loyalty rewards.

Maintain loyalty through personalized offers, priority support, surprise rewards, and subscription plans.

Champions

Frequent users who contribute significantly to revenue and use advanced features.

Orders 2–3 times a month, and often explores advanced features like bulk ordering or scheduling.

Regular monthly users with consistent engagement, but slightly less frequent than Loyalists.

Orders for family meals, office events, or parties. Seeks discounts and premium features for larger orders.

Offer exclusive deals, early access to promotions, and incentives for referring others.

In Danger

Previously active users whose engagement has significantly dropped.

No orders in 90 days, shows cart abandonment and reduced app activity.

Stopped ordering for over 90 days, with signs of disengagement like cart abandonment or skipping deals.

Was previously a regular user but now needs a reason to return, like discounts or new offers.

Use win-back campaigns, personalized promotions, and urgency-driven messaging to re-engage.

Hibernating

Rarely active users who have no app activity.

The last order placed 6+ months ago, has not browsed or interacted with the app, no session time.

No orders for over 6 months and no app sessions or browsing activity.

Orders only for major events or when reminded, value deep discounts and familiar menu options.

Reactivate interest with reactivation campaigns, first-order discounts, or app-specific benefits.


Other User Insights:

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Screenshot 2024-12-18 at 12.48.58 PM.png

Core Problems Identified:

  1. Information Overload: The app presents too much content, overwhelming users.
  2. Complicated UX and Navigation: Finding offers and navigating the app is challenging compared to aggregator platforms.
  3. Ease of Use on Aggregators: Users prefer aggregators for simplicity, even if it means paying more for the pizza.
  4. Lack of Unique Value Proposition: The app doesn't provide a compelling reason for users to choose it over alternatives.
  5. Low Recall: Users often forget the app is downloaded, leading to low engagement.
  6. Lack of Guidance: No support for users in selecting or building their pizza.
  7. Customization Issues: Customizing pizzas is cumbersome, unclear, and time-consuming.
  8. Delivery Tracking Gaps: Delivery status updates are not always accurate or user-friendly.
  9. Poor Notification Strategy: Notifications feel spammy or irrelevant, failing to drive engagement.
  10. Limited Personalization: Users don't feel the app understands their preferences or ordering habits.
  11. App Performance Issues: Slow loading times and occasional crashes frustrate users.
  12. Offer Visibility: Discounts and offers are not highlighted effectively, making them harder to use.
  13. Redundant Features: Some features are unused or unnecessary, adding to the clutter.

*Source: User Interviews and app session mapping.

Extra Resources:


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