From Zero to Scalable Sales: Ecommerce Growth Case Study

The Situation Before Digi Suggest

At the time of onboarding, Avry1 Pretty had:

• A newly launched ecommerce website
• Very limited brand awareness
• No predictable online sales
• No historical ad or funnel data
• No clear growth roadmap

Sales were:

• Occasional
• Inconsistent
• Mostly driven by personal networks

In the founder’s words:

“Kabhi order aa jata hai… par system nahi hai.”

This is the most fragile phase of any D2C brand.

The Core Challenge: Starting Without Data or Trust

Unlike established brands, Avry1 Pretty faced three simultaneous challenges:

• ❌ No brand trust
• ❌ No traffic system
• ❌ No conversion data

Most agencies struggle at this stage because:

• There’s nothing to optimize yet
• Ads don’t have learning signals
• Funnels are untested

Yet this is where strategy matters the most.

Why Random Ads Would Have Failed

Running ads aggressively at this stage would have resulted in:

• High CPA
• Low ROAS
• Founder frustration
• Budget burn

Why?

👉 Because users don’t trust unknown skincare brands easily especially in India.

Skincare requires:

• Proof
• Safety perception
• Emotional comfort

So, we decided not to chase sales immediately.

Digi Suggest’s Zero-to-Scale Philosophy

At Digi Suggest, we follow a simple rule for early-stage brands:

First build trust → then build traffic → then scale sales.

This project was executed in phases, not shortcuts.

Phase 1: Foundation & Funnel Setup (Critical)

Before spending on ads, we focused on making the website conversion-ready.

What We Fixed First

Website Clarity

• Clear product positioning
• Simple messaging (what + why + for whom)
• Focus on Indian skincare needs

Trust Elements

• Ingredient transparency
• Usage clarity
• Return & delivery messaging
• Brand story positioning

Product Pages

• Benefits over claims
• Simple routines explained
• FAQs addressing buyer doubts

👉 The goal was confidence, not hype.

Phase 2: Controlled Traffic Introduction

Once the website was ready, we introduced traffic slowly and strategically.

Meta Ads Strategy (Initial Phase)

Instead of direct “Buy Now” ads, we used:

• Education-led creatives
• Problem-solution storytelling
• Skin concern–based messaging

This helped:

• Warm audiences
• Create familiarity
• Avoid instant rejection

Budgets were kept intentionally low to:

• Gather learning
• Identify intent
• Reduce burn

Phase 3: Funnel Learning & CRO Feedback Loop

As traffic came in, we closely monitored:

• Scroll depth
• Product page engagement
• Add-to-cart behavior
• Checkout drop-offs

This data guided:

• Messaging changes
• Creative refinement
• Page-level improvements

👉 CRO started before scale.

Phase 4: Retargeting & Trust Reinforcement

Once people had:

• Visited the site
• Engaged with products
• Watched content

We introduced:

• Retargeting ads
• Testimonials & social proof
• Usage-based creatives
• Offer-led messaging (limited)

This converted:

• Curious visitors into buyers
• Hesitant users into first-time customers

Phase 5: Scaling What Worked (Not Everything)

Only after identifying:

• Best-performing creatives
• Most converting products
• Strong audience signals

Did we begin scaling budgets.

Scaling was:

• Gradual
• Data-backed
• Conversion-led

👉 No sudden budget jumps. No guesswork.

Results: From Zero to Predictable Sales

Within a few months of systematic execution, Avry1 Pretty achieved:

📈 Key Outcomes

• Consistent daily orders
• Stable cost per purchase
• Repeat customers starting to appear
• Clear understanding of winning products & messages
• A scalable ecommerce foundation

Most importantly:

👉 Sales were no longer random.

The brand moved from:

“Kabhi order aa jata hai”
To:
“We know what brings orders.”

Why This Growth Was Sustainable

This success did not come from:

• ❌ Viral reels
• ❌ Heavy discounts
• ❌ Influencer hype

It came from:

• Funnel-first thinking
• Trust-led marketing
• CRO-supported ads
• Controlled scaling

The brand was now ready for:

• Higher budgets
• More channels
• Long-term growth

Key Learnings for New Ecommerce Brands

If you’re starting a D2C brand, this case study proves:

1️⃣ Don’t Rush Ads - Ads amplify weaknesses if the funnel isn’t ready.

2️⃣ Trust Comes Before Conversion - Especially in skincare and beauty.

3️⃣ Data Is Built, Not Given - Early-stage brands must earn data patiently.

4️⃣ Systems Beat Luck - Predictable sales come from structure, not chance.

Who This Case Study Is For

This approach is ideal for brands that:

• Are newly launched
• Have limited budgets
• Want sustainable growth
• Are serious about ecommerce

If you’re at zero or early stage, this is the right way forward.

How Digi Suggest Helps New D2C Brands Grow

At Digi Suggest, we specialize in:

• Launch-stage ecommerce strategy
• Funnel & CRO foundations
• Ads that don’t burn budgets
• Long-term scalable systems

This case study is a blueprint not an exception.

Final Thought

Every successful ecommerce brand starts with uncertainty. The difference is:

• Some brands gamble on ads
• Others build systems

This case study shows that:

With the right funnel and strategy, zero can become scalable.