106,166 visitors in 28 days: turning heavy traffic into 868 million VND GMV

Background & challenge

This is a TikTok Shop store that already has a large audience. The brand name and category are withheld by agreement.

For many stores, the hardest part is getting viewers. But once traffic is there, the question changes: how do you turn viewers into buyers, and get them to buy more.

Situations store owners commonly face at this stage:

• Views soar, but orders grow more slowly.
• More ad budget brings more traffic, but the purchase rate drops.
• As orders pile up, dispatch starts to get overloaded.

Goal: ride the traffic momentum to grow GMV, while keeping conversion from falling too far.

Diagnosis from the data

“Last 28 days” dashboard (updated Oct 8, 2026): GMV 868,159,395 VND (+66.90%), customers 5,746 (+59.48%), SKU orders 6,695 (+57.68%), visitors 106,166 (+75.47%).

Metrics calculated from the dashboard data (the previous period is back-calculated from the %, so these are estimates):

• Conversion rate: about 5.41%. Previous period about 5.95%.
• GMV per customer: about 151,100 VND. Previous period about 144,400 VND.
• GMV per SKU order: about 129,700 VND. Previous period about 122,500 VND.
• GMV per visitor: about 8,200 VND. Previous period about 8,600 VND.
• Previous-period GMV: about 520 million VND. The increase is about 348 million VND.

The good news: traffic grew the most (+75.47%) and value per order rose too. New customers did not drag order value down.

The “bottleneck”: conversion rate fell about 9% (from about 5.95% to 5.41%). For every 100 people visiting the store, nearly 6 bought last period; this period about 5.4. In addition, store health is Good but 2 metrics are below threshold, one at 73.96%.

Growth strategy

The framework LDH Media applies to “high traffic, conversion needs optimizing” stores. No client-specific details are disclosed.

Phase 1 — Plug the conversion leaks

1. In Analytics, find products with many views but few orders.
2. Fix those product pages first: main image, title, displayed price, reviews.
3. Check stock on best-selling SKUs — a visitor who finds an item out of stock is lost conversion.
4. Set clear order-threshold vouchers, displayed right on the product page.

Phase 2 — Improve traffic quality

1. Prioritize videos that clearly show what problem the product solves, rather than pure entertainment.
2. Separate videos that drive traffic from videos that drive orders — concentrate budget on the order-driving group.
3. With GMV Max, track cost per order daily, not just impressions.

Phase 3 — Scale and handle the load

1. Increase budget in steps once conversion has been stable for at least a few days.
2. Add new videos regularly so the store does not depend on a few videos that are currently performing well.
3. Fix below-threshold operational metrics before major order surges.

Results

The original Seller Center dashboard screenshot is at the top of the article.

Analysis: where the growth came from

Breaking GMV into visitors × conversion rate × GMV per customer, calculated from the dashboard data:

• Visitors: +75.47% — the main driver.
• Conversion rate: about −9%.
• GMV per customer: about +5%.

Multiplied together: 1.755 × 0.909 × 1.047 ≈ 1.67, consistent with the +66.90% GMV.

What the numbers mean:

• Traffic is the engine, conversion is the brake. Had conversion held at last period’s level (about 5.95%), the same traffic could have produced about 10% more customers — an estimate, not something that actually happened.
• Conversion of about 5.4% is still a fairly good level. A slight dip when traffic grows 75% is common, because more viewers do not yet match the need. It is only worrying if it keeps falling over several periods.
• Rising order value shows the store did not have to discount to attract customers. That is a solid base for further scaling.

Weak spots and how to address them:

• 2 operational metrics below threshold, one at 73.96%. As orders increase further, these metrics tend to deteriorate. Open Account Health to see the name and threshold of each metric, then address them in order of impact.
• Traffic dependence. If much of the traffic comes from a few videos, GMV will fall when those videos “tire out”. New content needs to be added regularly.

Lessons for store owners

• Calculate conversion rate every week as customers ÷ visitors. This number tells you how well the store “holds on to” viewers.
• Rising traffic with slightly lower conversion is normal. A steep or sustained drop is the signal that something needs fixing.
• Fix the most-viewed product pages first, because that is where each percentage point of conversion is worth the most.
• Measure videos by orders, not views.
• Fix operational metrics before scaling.

Actual results depend on the product, price, inventory, budget and platform policies. This is not a commitment to results for every client.