MARKETING
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TRENDS

THE ULTIMATE RETENTION MARKETING QUESTIONS TO ASK YOURSELF AS A D2C HEAD

Some questions to understand retention marketing

FAQs

About Your Setup / Journey to getting to this point

  1. What’s your take on the maturity of your industry around retention today? Who are some of the folks you look up to? 

Industry is fragmented between small & large players. Retention is lower across due to lower brand loyalty for most players due to excessive competition. Brands we look upto – Nike, Apple On a retention front, we have specific elements we take inspiration from other brands, eg membership program of one vs UI of another 

 

  1. What’s the team that looks after retention? Does it roll up to Growth / CMO / Product Lead, or how’s it organized? What are the conscious choices made here?

Growth team/ Explain team structure

 

  1. What’s on YOUR dashboard - every day, every week and every month? [Break into 3 parts]

 

Daily & Weekly – Revenue across categories, products, traffic movement, analysing time 

Monthly – Strategic inputs on what launches we want to focus on, achieving growth targets and ARR. PLG & SLG

 

  1. What are the key skills that you’ve kept in mind while building this team?

Need someone who can think about thinking out of the box. Not limited to doing “activity” but understanding the “why”. Making “intuitive judgements” + “data backed”

 

  1. What are your highest priority customer communication touch points with your customers across their journey? 

Each touch point is super critical. From the Social media ads/ campaigns, to the website UI to post order journey via whatsapp to the packaging and product experience. It’s all a game of the right product & right communication. Website & social media are higher priorities.

 

  1. What has worked the best for you and why so? 

Originality + Innovation. Internally, a thought & data driven approach has worked for us. Analysing the “why” for everything that works & doesn’t work. Try & try again. We want to give a best customer experience. People can spend but they want to be sold a value for money product. They love the story. 

Data, Engagement & Personalization

  1. How much of your user communication is currently automated?  Which channels? 

Almost all of it is automated + Refresh every 2-3 months.

 

  1. And how frequently are automated campaigns re-visited?

Depends from campaign to campaign

 

  1. How do you decide which channels to use for which purpose?

Data led split tests. Give examples of posts boosts/ influencer activities whatsapp comms

 

  1. How many channels are a part of your orchestration?

Too many channels to count (10+ channels, maybe 100+ partners)

 

  1. On a scale of 1-10, how personalized is your user engagement overall?

I would say a 5-6, while continuous iterations are happening, there is a lot of room for improvement.

 

  1. How did you get to this point - what were the key areas of focus / steps in the journey?

A very non linear path but learning from each activity, and understanding the “why” is why we are where we are.

 

  1. Is personalizing user experience on the web / mobile app an active item on the agenda?

Yes it is.

 

  1. When it comes to messaging frequency, how much is too much? Are you accused of spamming as well sometimes?

Not any incident. We keep on monitoring our spam scores, frequency. In touch with our partners for content fatigue and continuously renew our creatives & communication.

 

  1. What are your biggest challenges to scale or move further on the maturity curve? People skilling / data consolidation / tech stack?

Tech stack while growing is an area where we can do a lot more.

Which of these & why?

  1. What data sources does your team now bring together  (Engagement Data, Transaction Data, Behavioral Data, anything else?)

All of the above. Other than that, deeper product level data, region wise demand graphs etc.

  1. Which segmentation model do you use? (Behavioral, RFM, Predictive)

Depends from product to product. Eg. New product vs new variation in existing product

  1. Are there a lot of AI models in play yet ? What’s driven by AI so far in your marketing communications? (send time, channel preference, communication content)
     Mostly used it for content & SEO activities but exploring a lot more. While AI is going to be big, it may be a lot of heavy words. We want to build usable real time practical applications for the same. 
     
     

Industry Notes

  1. Can you tell us about some methods of engagement that have become obsolete now?

While nothing is obsolete per se, emails is something we use less.

  1. Stuff you’re keen to experiment with in the near term?

Personalization engines and split tests based on deeper dynamic elements. Be it in UI or marketing

 

  1. What do you think are some of the loopholes that people might miss when building their marketing automation stack? (Some that I can think of - Data Integrations, Underutilizing channels)

Attribution can sometimes be a challenge. Identifying overlap across channels can sometimes proves expensive. Focusing on net cost benefit of any channel is important. Focus on LTV is also important. 

 

  1. What according to you is an ideal Day 0 framework for retention - pre, during & post campaign launch?

Varies from industry to industry. But understand your customer, product & capabilities in super depth is absolutely critical. What to upsell/cross-sell/ uplift experience and how needs to be identified early on.

  1. Are you able to stitch your acquisition/ customer feedback data with the engagement side of things? Like figuring out campaigns bringing high quality users by meshing ad spends with CRM?

Yes 

  1. Are you able to view all your customer data in one place? Is Data Unification still a problem?

Mostly, yes

 

  1. How are you planning to navigate through the changes in the data frameworks in 2023 with privacy changes around the corner?        

Focus on community building, to increase loyalty and bring more brand love.