Zomato Everyday is a product on Zomato which promises delivery of fresh homely meals, curated by home chefs at affordable prices and delivered to you in 15-20 minutes. This solves access to home style food for people who stay away from their families.
Homepage visibility Zomato everyday homepage
Primary engagement goal for everyday is frequency. They want users to transact daily and for all mealtimes. The number of transactions being done is more important than the time spent on the app for Zomato Everyday.
Zomato everyday itself is a sub product of the Zomato ecosystem. Within Zomato everyday, there are no sub products. However, sharing below the top features of Everyday -
| ICP 1 | ICP 2 | ICP 3 |
Name | Ayush | Roushan | Sneha |
Age | 25-30 | 30-35 | 17-25 |
Income bracket | ₹75k+ per month | ₹100k+ per month | ₹10-15k per month |
Marital status | Single | Married, Living with partner | Single |
Gender | Male or Female | Male or Female | Male or Female |
Working/Student | Working professional | Working professional | Student |
Location | Near corporate areas like Golf course road, Koramangla, Andheri in Delhi NCR, Bangalore, Hyderabad, Mumbai | Metros and some tier 1 cities. Not necessarily close to corporate areas | Student areas like GTB Nagar, South campus, Kalkaji in Delhi, Similar areas in Bangalore, Mumbai and other metros |
Living situation | With flat mates or alone | With partner or partner + parents | PG, Flat, 1 Room in a building |
What are the apps that they use? | Instagram, Twitter, Linkedin, Orders a lot on Zomato/Swiggy, Netflix, Amazon, Blinkit | Social media, Linkedin, Netflix, Amazon, Blinkit | Instagram, Snapchat, Youtube, Spotify, Netflix and other OTT, Amazon |
Pain points | Manages breakfast in the morning by themselves but has not made any arrangements for lunch and dinner yet. Dinner gets cooked by the maid in the evening around 8 PM but manages to catch the maid only around 70% of the time in the evening. | On occasional days, maid might not come to cook in the morning. If maid doesn’t cook, primary person to cook in the kitchen is not in the mood to cook the meal. | Bad PG Food sometimes, missed picking the tiffin, missing breakfast because of early class |
Other solutions for meals available | Cooking maid, Self cooking, Nearby restaurants/dhabas, Zomato/Swiggy, Tiffin service | Cooking maid, Self cooking or by partner, Nearby restaurants/dhabas, Zomato/Swiggy | Nearby restaurants/dhabas, Zomato/Swiggy, College canteens, Tiffin service |
Influencers | Missing the maid because reached late from office , Craving for homestyle food, Ease of ordering during lunch, Scheduling lunch | No maid days, urgent delivery required between 2 meetings | Home style food cravings, Limited budget |
Blockers | Upper limit of no. of meals that you can have in a day, Maid, Nearby restaurants/dhabas, Other cuisines/restaurants on Zomato/Swiggy | Maid, Nearby restaurants/dhabas, Other cuisines/restaurants on Zomato/Swiggy | College canteens, In room snacks like maggi, Nearby restaurants/dhabas, Other cuisines/restaurants on Zomato/Swiggy |
What do they like about everyday? | Daily changing menu, Affordable pricing, Scheduling, Home chef endorsements | Home style food, 15-20 min delivery, Scheduling, Home chef endorsements | Daily changing menu, Home style food, 15-20 min delivery, Affordable pricing |
Fast delivery requirement | Low | High | Medium |
Affinity to homestyle food | Medium | High | Low |
Affordability requirement | Medium | Low | High |
Most likely meal they would order from everyday | Primary - Lunch Secondary - Dinner | Lunch | Primary - Dinner Secondary - Lunch/Breakfast |
Approx. self/maid/PG/Tiffin service meals in a month | 39 | 58 | 41 |
Approx. meals from dhabas/restaurants/Dining out/College canteen | 20 | 19 | 33 |
Approx. meals from Zomato per month (without everyday) | 12 | 11 | 7 |
Approx. Everyday meals per month | 19 | 2 | 9 |
Natural frequency for Everyday | 4-5 meals per week | 2-3 meals a month | 2-3 meals per week |
Average monthly spend on everyday | ~₹2470 at AOV of ₹150 | ~₹260 at AOV of ₹130 | ~₹1170 at AOV of ₹120 |
User cohort based on research | Power | Casual | Core |
| Loyalist | Champions | In danger | Hibernating |
Recency | Ordered within the last 3 days | Ordered within the last week | Ordered within the last month | Ordered within last 90 days |
Frequency | 2-5 meals a week | 2-3 meals in 15 days | Usually 1-2 meal a month | Once sometime in the last 90 days |
Monetary | Average monthly spend - ~₹2470 at AOV of ₹150 | Average monthly spend - ~₹1170 at AOV of ₹120 | Average monthly spend - ~₹130-₹150 | NA |
ICP 1 - Ayush | ICP 2 - Roushan | ICP 3 - Sneha |
Loyalist
for meals and found everyday to be the most reliable and solving for their needs.
for them to stop ordering from everyday. | In danger
Zomato everyday for their meals.
| Loyalist - Champions
keep exploring other options but they keep coming back to everyday regularly because of home style food cravings and affordability of Everyday. |
Based on the above user understanding, natural frequency of different cohorts can be defined as follows -
Casual - Orders 2-3 meals a month
Core - Orders 2-3 meals a week
Power - Orders 4-5 meals a week
Everyday is a product which is hyperlocal in nature and each new location added goes through PMF, Early scaling and Mature stages apart from the overall product stages.
This engagement strategy is for users of early scaling and mature locations. Here we will be able to find all kinds of users. Since campaigns can be personalized at a user level, we will focus on depth as an engagement strategy for a power user, frequency for core and casual users.
ICP identified | Ayush (ICP 1) | Ayush (ICP 1) | Sneha (ICP 3) | Sneha (ICP 3) | Roushan (ICP 2) |
User type & natural frequency | Power user in the loyalist cohort, Orders 4-5 meals a week | Power user in the loyalist cohort, Orders 4-5 meals a week | Core user in the loyalist to champion cohort, Orders 2-3 meals a week at a lower monetary value | Core user in the champion to loyalist cohort, Orders 2-3 meals a week | Casual user in the In danger cohort, Orders 1-2 meals a month |
Objective of the campaign | Engagement strategy - Depth with a new feature. So Primary - Depth, Secondary - Breadth User Objective - Go deeper into the consideration set of total meals that a user can have and more product offerings. Business objective - Increase AOV | Engagement strategy - Depth. User Objective - Engage deeper with the user with more offerings in the menu. Business objective - Increase AOV | Engagement strategy - Frequency with a new feature. So Primary - Frequency, Secondary - Breadth User Objective - Transition from core to power user. Business objective - Increase no. of orders from 2-3 to 3-4. | Engagement strategy - Frequency User Objective - Transition from core to power user. Business objective - Increase no. of orders from 2-3 to 3-4. | Engagement strategy - Frequency User Objective - Get closer to the frequency of core users Business objective - Increase no. of orders from 1-2 a month to 1-2 in 15 days. |
Context of the campaign? | Subscription with additional benefits Launch a subscription as a feature for a power user, where you could subscribe for a period of time or a set number of meals. When someone is opting for a subscription for a meal, they can get add ons like beverages and desserts at a discount of flat 50%. This helps in binding the user for at least the subscribed time and motivates them to add beverages/desserts to their cart for depth in their cart. | New seasonal drinks offerings for summer Beverages on Everyday are in the range of Rs 29-49. We will offer these beverages at a discounted price for the 1st month and then just do comms. While this is beverage specific, similar campaigns can be done for desserts. | Student pass A student pass is a wallet for this ICP where you can recharge a minimum of 500 and get 10% off on the next 4 orders done in 7 days. The %age off can have an incremental 2% with each ₹500 added till a ceiling of 16% max discount on a recharge of ₹2000. | College canteen menu, but homestyle The affinity towards homestyle food for this ICP is low. Everyday works as an alternative since it is affordable and convenient. But still the inclination is there towards eating foods like rolls, pav bhaji, chowmein etc. Launching a menu for which has items like these but made in a homestyle way will help us capture more mind share for this ICP. This is to be done only in locations serving the college crowd. | Homestyle snacking To increase frequency in this cohort, evening mealtime (3PM to 7PM) is ideal. The affinity towards home made meals is high here however, snacks is a mealtime where this ICP still struggles since this is something they have to manage on their own. Offer a 50% up to ₹80 off on all snacks orders for 2 weeks. |
Sample comms and pitch | “Don’t forget to order lunch now. Subscribe today for the next 5 days and get your beverage fix at 50% off”. |
Order kar lena aaj k lunch k sath at a discounted price of Rs 19”
Mummy wants to know. Order now with your breakfast at a discounted price of Rs 19” | “Introducing student pass. Recharge and get an additional discount of up to 16% on your everyday orders” | “Chowmein khaa lo, mummy ne bhijwaya hai. Order from the newly launched home style college canteen menu from Zomato everyday starting at ₹79.” | “Shaam ho gayi, bhook lagi hogi. Why not try our home style sandwich today at 50% off” |
Channel of communication |
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Frequency of communication |
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Timing & duration |
done for a period of 4 weeks.
is needed or we have to stop sending the notification.
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Wednesday (Most likely days for orders)
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Reminder notification for recharge when wallet value is < ₹100.
we have to stop sending the notification.
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1st order for snacks placed, whichever is earlier. Tweak if required
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Metrics to track | To understand efficacy of comm
To understand subscription
| To understand efficacy of comm
To understand attach rate and upsell - Engagement rate
| To understand efficacy of comm
To understand student pass recharges
| To understand efficacy of comm
To understand new menu performance -
| To understand efficacy of comm
To understand campaign performance -
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Success metric |
This will ensure at least 15 meals out of average 19 (~75% of meals)
| For a period of April to July
and >~₹437 additional GMV
and ~₹285 - ₹436 of additional GMV
and <₹285 of additional GMV |
Time frame will have to be user specific depending on the current AOV and current no. of meals. Benchmark no. of days lower than the current no. of days in which the recharged amount is utilized.
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with at least 1 order from the new menu. |
taking the total frequency from 1-2 a month to 5-6 a month. |
The following retention data is indicative of a matured location for Zomato everyday. No internal data was used for this project.
Retention of 14 weeks (91 days)
We can see ~45% of user retention for a 90 day period.
On speaking to users who have started using the service less compared to their earlier frequency or have stopped using the service, I was able to gather the following possible reasons for churn -
Voluntary reasons | Involuntary reasons |
items start repeating in 10-12 days and preparation style is similar for most veggies, so taste is similar
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serviceability of Everyday
and is getting home cooked food
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These users have the following negative actions observed to understand potential churns
These actions lead to disengagement and the following observations can be made -
Key is to identify the right user, their earlier behavior and their reason for churn. Post that, campaign design -
ICP | Ayush, who was a power user, ordered 4-5 meals per week | Ayush, who was a power user, ordered 4-5 meals per week | Roushan, who was a casual user and ordered 1-2 times a month | Sneha, who was a core user, ordered 2-3 meals per week | Sneha, who was a core user, ordered 2-3 meals per week |
Stage of churn | Is at risk now | Has churned now | Has churned now | Has churned now | Has churned now |
Identification of stage/Metrics to analyze post churn | Disengagement increased, from 4-5 meals a week they came down to 1-2 meals a week(drop by 50%. Menu opens are also less frequent now and conversion from menu to order is also lowered for them. Negative actions in reviews where he stated that the menu is becoming repetitive. This came out as a strong point in user research as well. | Disengagement increased, from 4-5 meals a week they came down to 1-2 meals a week and then further down and now he hardly orders. | Disengagement - Was ordering 1-2 meals per month, Has not ordered in the last 90 days | Disengagement - Was ordering 2-3 meals per week, which further reduced to 1 meal a week. Now she doesn’t order and has shifted to a new tiffin service which was giving her better pricing. | Rating of 1 for the last few orders on packaging. Very angry review for 1 of the orders. She stopped ordering post the bad review |
Why did they churn? | Bored with the menu. Depended on the service a lot but was not liking the taste so much because of the similar way of preparation. | Bored with the menu. Depended on the service a lot but was not liking the taste so much because of the similar way of preparation. Shared reviews regarding that. Has now shifted to another tiffin service and now uses a combination of tiffin and nearby dhabas for meals.. | Always had a maid who cooked, when the maid did not come, he relied on normal Zomato orders or a dhaba near to his office for lunch. He didn’t live near a location where everyday was serviceable for breakfast and dinner. | Found a tiffin service which was offering a better pricing | Bad experience with opening the meal tray. Had ruined her dress in college because of the poor packaging. |
Context of the campaign | Offering a simple discount in any manner will not solve the boredom in the menu, hence designing this campaign for resurrection. Celebrity chef menus Introduce one celebrity chef in a month and get menus and add some items from them. They make dishes that they make at their homes and not in their restaurants. This will bring newness in the menu and will give more options to the user to choose from. We can launch this at a small premium as well. This can be available for 1-2 days in a week depending on usual drop off day of week/mealtime for the cohort. | International cuisine day - Chinese, Italian, Mexican etc. Homestyle dishes from international cuisines prepared by guest home chefs. Tiffin services will not offer a lot of variety in terms of cuisines. Everyday can leverage their scale and celebrate a Homestyle Chinese day or homestyle pasta day. This would help revive interest in the menu for users who have churned out because the menu was getting boring. With the existing menu, 6-8 items specifically from these cuisines can be added on select days. | No maid day Launch a user cohort specific coupon code- NOMAIDTODAY This will be sent to the user with a validity of 14 days and ₹50 off on their next everyday order. Can be applied twice in 14 days. | Super saver cashback on meals Design a campaign with cashback in the form of zomato everyday credits. The 1st meal costs ₹120 and gets a cashback of ₹50. 2nd meal costs ₹120 and gets a cashback of ₹40. 3rd meal costs ₹120 and gets a cashback of ₹30. 4th meal becomes free with a total of ₹120 in cashback credits. This cashback can be used on the 4th meal or before that only in 14 days. We should be able to get to ~60% of the earlier frequency of 3 orders a week. | Perfect delivery After evaluating issues with poor packaging and finding solutions, we run a campaign called “perfect deliveries” by Zomato everyday.
Target is to reach at least 60% of the earlier frequency.
rechecked to assure the user of no leakage. |
Sample comms | “Special menu for special people. Order what Ranveer Brar cooks for his kids at home from our newly launched celeb menu. Order now.” | "Ciao! Ready for a great pasta? Special homestyle pasta menu for today for you. Order now." | “Maid nahi aayi? Order home style meals from Zomato everyday. Use NOMAIDTODAY and get ₹50 off on your next Everyday order” | “Here is a cashback program that earns you free meals. Order today from everyday and get up to ₹50 as Zomato credits” | “No more leakage is our promise to you as a priority customer. Order now with ₹50 in your account and 10% off on your next 3 orders” |
Channel of communication |
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Frequency of comms | Twice a week. Since this was a power user, comms would not be taken in a very negative way. | Twice a week. Since this was a power user, comms would not be taken in a very negative way. | Twice a week. | Twice a week. | Twice a week. |
Timing & duration of campaign | Understand which mealtime/day of the week the drop is seen the maximum. We will have to time the comms some time before that at a time when the user would be considering ordering a meal. For Eg - We identify Thursday lunch is the highest drop. We can do PN on Wednesday evening and WA on Thursday around 11 AM. Syncing this with new menu availability as well. Duration - Based on the success of the campaign, this could become a feature. | Monday or Tuesday. These are the days when traffic on the app is lowest and since the start of the week, having a lively lunch will help in reviving churned customers. Duration - Based on the success of the campaign, this could become a feature. |
| Start in the last week of the month when pocket money is on the lower side. Will have to run this campaign based on frequency post campaign ends. Continue for at least 2 times and then taper off depending on the new natural frequency of the user. | This campaign needs to start asap after identification of churn and solving of the problems operationally. Duration of the campaign depends on when the 1st order after churn is placed. Discount will continue for 4 meals. |
Metrics to track | To understand efficacy of comm
To understand the campaign success
| To understand efficacy of comm
To understand the campaign success
Churned user is someone who has not ordered in 90 days.
| To understand efficacy of comm
To understand the campaign success
| To understand efficacy of comm
To understand the campaign success
| To understand efficacy of comm
To understand the campaign success
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Success metric |
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15 day retention metrics with at least 40% of their earlier frequency
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which is 2 orders a week. |
At least 60% of their earlier frequency.
which is 2 orders a week. |
No internal data was used for creation of this project. All data points are based on user research or assumptions.
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