Springwood growth strategy resulted in a successful cVR (click-through rate) of 5.72% and CAR (conversion rate) of 1.1% for Sortizy
Summary
This report outlines the challenges faced by Sortizy app in terms of inconsistent stickiness,
drop-offs, A/B testing in content, and churn, and the initiatives we implemented to address these
challenges. Our initiatives included developing tailored retention campaigns, analyzing user
behavior, identifying dropoff points in the user journey, conducting A/B tests, and using targeted
retargeting campaigns. We also maintained a weekly report of app engagement data, developed
successful festive campaigns, and created tailored strategies for distinct RFM segments.
The report concludes with an assessment of the impact of these initiatives on our app's performance,
and recommendations for future improvements.
Impact
Our team's tailored strategies and workflows for distinct RFM segments, weekly reports
of app user behavior metrics, weekly campaign analysis, developed festive campaigns, and created
flows based on user actions & drop-offs have all contributed to a successful overall distribution
of 3.86 million emails and SMS.
Our combined efforts have resulted in a successful cVR (click-through rate) of 5.72% and CAR (conversion rate) of 1.1%.
These metrics indicate the effectiveness of our marketing strategies in generating engagement
and driving sales for your brand. The onboarding flow for new users has also helped to improve
retention rates and drive user loyalty. Overall, our marketing efforts have had a significant
impact on Sortizy's success, resulting in increased user engagement, higher conversion rates,
and improved overall performance.
Background about Sortizy
Sortizy app is a mobile application that provides users with a platform to connect and share
their love for food. Despite the app's success in attracting users, Sortizy faced several
challenges in maintaining consistent user engagement and retention. The report outlines the
challenges we faced and the initiatives undertaken to address them, as well as to analyze the
impact of these initiatives on the app's performance.
Challenges
Inconsistent Stickiness and Its Impact on User Retention: One of the main issues we faced
was the inconsistent stickiness of our app, which made it difficult to retain users. We
implemented targeted retention campaigns for both new and existing users, analyzed user
behavior to identify patterns and trends, and optimized the user experience to improve
stickiness.
Drop Offs in User Engagement: Another challenge was analyzing and addressing dropoff
points in retention to maintain user engagement. We used analytics tools to identify
specific dropoff points in the user journey, implemented targeted improvements to address
specific dropoff points, and used personalized engagement campaigns to encourage users to
return to the app.
Informed content strategy: Understanding which content and emotions resonated with users
required multiple A/B tests and experimentation. We set clear objectives for each A/B test,
experimented with different types of content and emotions, and continuously monitored the
results of A/B tests to make data-driven decisions about how to optimize content and
engagement strategies.
Increasing churn: We faced the challenge of losing users and needed to find ways to
target and bring back users who had uninstalled the app. We used targeted retargeting
campaigns, collected feedback from users who had uninstalled the app, and continuously
monitored user engagement metrics to identify potential issues that may be contributing
to user churn.
Springwood’s Approach
We developed tailored strategies and workflows for distinct RFM segments:
We developed personalized strategies and workflows for our different RFM (Recency,
Frequency, Monetary) segments to ensure that our campaigns are highly targeted and
effective. This involved analyzing user behavior and purchase history to segment our
users into different groups based on their engagement level and spending habits. We then
used Moengage to create custom campaigns that targeted each segment with relevant content
and messaging
Weekly report of app user behavior metrics: To stay on top of user behavior trends and
identify opportunities for improvement, we created a weekly report of app user behavior
metrics using Moengage. This report includes data on user retention, engagement, and
conversion rates, as well as any changes in user behavior from the previous week. By
analyzing this data, we can quickly identify areas that require attention and adjust our
campaigns accordingly.
Weekly campaign analysis: To ensure that our campaigns are performing at their best,
we conduct a weekly analysis of our campaigns using Moengage. This analysis involves
measuring the success of our campaigns based on metrics such as open rates, click-through
rates, and conversion rates. We then use this data to optimize our campaigns for better
performance.
Developed festive campaigns: We analyzed the maximum engagement and conversions on
specific holidays and festivals using Moengage and leveraged this data to create highly
effective festive campaigns. These campaigns were tailored to the occasion and included
personalized messaging, special offers, and relevant content. By using Moengage's advanced
segmentation capabilities, we were able to target our campaigns to users who were most
likely to engage with them, resulting in increased user engagement and conversions during
festive seasons.
Created flows based on user actions & drop offs: To optimize the user journey and reduce
drop-offs, we created user flows based on user actions and drop-offs using Moengage.
This involved mapping out the user journey and identifying areas where users were dropping
off. We then created targeted campaigns and messaging to encourage users to complete the
desired action and move through the funnel.
Integrated WhatsApp with Moengage: To reach users on their preferred channel, we
integrated WhatsApp(Interakt) with Moengage. This allowed us to send personalized messages,
offers, and notifications directly to users' WhatsApp accounts, which helped increase
engagement and retention.
Implemented campaigns for creators and all users: To cater to different user groups,
we implemented campaigns for both creators and all users using Moengage. These campaigns
included personalized messaging and offers that were tailored to the specific needs and
interests of each user group.
Created an onboarding flow for new users: To ensure that new users have a smooth
onboarding experience, we created an onboarding flow using Moengage. This flow includes
personalized messaging, tutorials, and tips to help new users understand our app and start
engaging with it more effectively.
Maintained a calendar to keep track of special food days: To capitalize on special
occasions and food-related events, we maintained a calendar using Moengage to keep track
of important dates and plan relevant campaigns and content. This allowed us to stay ahead
of the curve and ensure that we were engaging with our users at the right time and in the
right way.
Overview of All Marketing Efforts: In total, our team has published 153 campaigns
and 116 flows, resulting in an impressive overall distribution of 3.86 million emails and
SMS. Our team has worked diligently to ensure that every campaign and flow is tailored to
meet your unique business objectives and target audience. We have leveraged the latest
industry insights and best practices to craft compelling messaging and visually appealing
designs that resonate with your customers.
Evaluation of Marketing Channels: We are proud to report that our combined efforts
have resulted in a successful cVR (click-through rate) of 5.72% and CAR (conversion rate)
of 1.1%. These metrics indicate the effectiveness of our marketing strategies in generating
engagement and driving sales for your brand. We have analyzed the performance of our
marketing channels using Moengage and other tools to optimize our campaigns and improve
our overall performance
Examination of Data and Insights: Through the use of Moengage and other tools, we were
able to analyze the performance of our marketing campaigns and identify areas for
optimization. By leveraging industry insights and best practices, we crafted compelling
messaging and visually appealing designs that resonated with our customers. We also
analyzed user behavior metrics and used this data to create personalized campaigns and
flows for distinct RFM segments. Our use of Moengage's advanced segmentation capabilities
allowed us to target our campaigns to users who were most likely to engage with them,
resulting in a successful cVR of 5.72% and CAR of 1.1%. Overall, our examination of data
and insights has allowed us to optimize our marketing strategies and improve our overall
performance.
Key Takeaways
Customer retention and stickiness is a major challenge for businesses across the globe.
Customers are the focal point of business and thus, it becomes very important to prevent their
churn.
With tailored retention campaigns, analyzing user behavior, identifying drop off points in the
user journey, conducting A/B tests, and using targeted retargeting campaigns, Springwood helped
Sortizy to improve customer retention and stickiness. The growth strategy also helped them to
improve conversion rates and thus, leading to revenue growth.
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