Jessica P.
Wellness Wardrobe
“Dakaas showed us our loyalty program was actually losing money on redemptions. They rebuilt the economics, made the rewards clearer, and repeat rate went up while the program got cheaper to run.”
Loyalty & Advocacy Strategy
We design the loyalty program, VIP structure, and lifecycle touchpoints that turn one-time buyers into regulars — and regulars into the people who tell their friends.
Customer engagement strategy covers the systems that make people come back: loyalty and rewards programs, VIP tiers, subscription and replenishment models, referral programs, and the lifecycle messaging that ties them together. Because keeping a customer costs far less than winning a new one, Dakaas treats retention as a core growth lever and designs each program to fit your unit economics — not a generic points template.
More expensive to acquire a customer than keep one
To design the program and configuration plan
Typical lift in repeat purchase rate we target*
Rewards modelled against your actual unit economics
*Depends heavily on category, purchase frequency, and how the program is promoted. Consumables and replenishables move fastest.
The retention gaps we see most often — and how the strategy addresses each.
You installed a points app, left it on defaults, and nobody in your customer base seems to know it exists.
We redesign the earn-and-burn rates around your margin, make the value obvious ('$5 off your next order', not '100 points'), and build the on-site and email placements that actually surface it.
Your rewards are so generous they're eating the margin they were supposed to protect.
We model the program economics — redemption rate, breakage, incremental orders — and tune the rewards to a level that lifts repeat rate while staying profitable.
Every customer gets treated identically, whether it's their first order or their fiftieth.
We build VIP tiers with perks that cost you little but feel valuable — early access, free shipping thresholds, a real person to talk to — and the lifecycle messaging that moves people up.
You sell something people run out of, but you have no replenishment or subscription motion.
We map your products to their natural repurchase cycle and design a subscribe-and-save or reminder system that fits, so reorders happen without you chasing them.
You don't know your repeat purchase rate, your LTV, or which customers are about to churn.
We set up the retention metrics that matter — repeat rate, purchase frequency, LTV by cohort, at-risk segments — so decisions are based on data, not vibes.
The first purchase often barely breaks even after ad costs and discounts. The profit is in the second, third, and tenth — which only happens if you give people a reason and a system to come back.
A returning customer typically spends more per order and converts faster than a first-timer, at a fraction of the acquisition cost.
A small lift in repeat purchase rate compounds — it raises the LTV you can afford to spend against on acquisition, which unlocks more growth.
Engaged customers refer others, and a referred customer usually retains better than a paid one.
A loyal base gives you a revenue floor that doesn't move when ad performance dips or CPMs spike.
A real community around your brand is the one advantage a competitor with a bigger budget can't simply buy.
Every mechanism that drives repeat purchases, designed to fit together rather than compete.
Points or tiered structure, earn-and-burn rates modelled against your margin, and the on-site and email placements that make people use it.
Tiers with low-cost, high-perceived-value perks and the lifecycle messaging that nudges your best customers upward.
For consumables and replenishables: subscribe-and-save or reminder flows timed to each product's real repurchase cycle.
A give-get referral structure with incentives that pay for themselves and placement at the moments customers are happiest.
Every post-purchase moment — thank you, how-to, review request, replenishment, winback — mapped and tied into your email and SMS.
Repeat purchase rate, purchase frequency, LTV by cohort, and at-risk segments set up so you can actually manage retention.
A retention plan specific enough to configure and launch — plus the model behind it.
Your current repeat rate, LTV, existing program performance, and the biggest gaps, benchmarked against your category.
Full structure — earn rates, redemption options, tiers — with a spreadsheet model showing the margin impact at different redemption rates.
Tier thresholds, perks, and the automated messaging that moves customers between them.
Product-to-cycle mapping and the recommended subscribe-and-save or reminder mechanism, with app recommendations.
A diagram of every post-purchase moment and the channel, message, and timing for each.
Retention KPIs set up, plus a step-by-step guide (or done-for-you build) to configure the programs in your chosen apps.
Honest note on pricing: The strategy is a fixed-scope project with a set fee and a two-to-four-week timeline — you keep the plan and the economics model. Hands-on build and monthly review are optional add-ons.
We design loyalty around your P&L, not around what looks generous in a pitch deck. A program that loses money isn't a growth lever.
Economics first: every reward and perk is modelled against your margin, redemption rate, and expected incremental orders.
Integrated, not bolted on: loyalty, VIP, referral, and subscription are designed to reinforce each other and your email program.
Tool-agnostic: we recommend Smile, Yotpo, LoyaltyLion, Recharge, or others based on fit — we don't have an affiliate to push.
Behaviour-based: tiers and messaging are built on real purchase data and cohort analysis.
Handover or build: take the plan and configure it, or have us build it in your apps and wire up the messaging.
Two to four weeks from kickoff to a configuration-ready plan, then optional build and monthly review.
We pull your order history, calculate repeat rate and LTV by cohort, review any existing program, and benchmark against your category.
We design the loyalty, VIP, referral, and subscription mechanics, build the economics model, and map every lifecycle touchpoint. Presented live and refined with you.
We configure the programs in your apps, wire up the email and SMS messaging, and review retention metrics with you each month.
Food & beverage (consumable) · First 90 days
Repeat purchase rate was 22% despite selling a product people finish in two to three weeks. A points app was installed on defaults with under 4% of customers enrolled, and there was no subscription option at all.
Repeat purchase rate
12-month LTV per new customer
Of revenue on subscription within 90 days
Client anonymised at their request. Figures are from this specific engagement and are not a guarantee of similar results.
Stores that stopped treating retention as an afterthought.
Wellness Wardrobe
“Dakaas showed us our loyalty program was actually losing money on redemptions. They rebuilt the economics, made the rewards clearer, and repeat rate went up while the program got cheaper to run.”
Brew & Bean
“The subscription tiers timed to how fast people actually finish a bag were the unlock. A third of our revenue is recurring now and it basically runs itself.”
Pet Haven
“They gave us a plan we could actually implement, with a model showing the margin impact of every choice. No fluff, no 'build a community' hand-waving — just the mechanics and the numbers.”
Answered all frequently asked questions. Still confused? Feel free to contact us.
Usually once you have a consistent flow of orders — roughly 150–200 a month — so there's enough repeat behaviour to design around and enough data to model the economics. Before that, focus on the product, the first-purchase experience, and email.
We build the flows, templates, and list-growth systems that turn your existing customers into repeat revenue — usually 25–40% of total sales once it's running properly.
Learn morePrecision Sales RecoveryPrecision retargeting across Meta and Google that brings back cart abandoners, product viewers, and past customers — with frequency control so it never tips into annoying.
Learn moreData-Driven Conversion GrowthA systematic program of research, testing, and iteration that lifts your conversion rate and average order value — so the same traffic and ad spend produces more revenue.
Learn moreWe'll calculate your repeat purchase rate and cohort LTV, review any program you're running, and show you the specific retention gaps worth closing first.
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