Thailand (TH) · Native ads (Taboola, Outbrain, MGID)

Weight Management on native ads in Thailand

A slower, steadier source than social. Modeled on the published 2.4% CR and the $18–$32 payout band.

Team C — native ads team (anonymized)

Spend

$8,200

Approved

765

Profit

$10,925

ROI

133.2%

These are modeled scenarios, not audited partner reports. Network inputs — 47.8% average approve rate, published payout bands and the 14-day payment cycle — are the same figures used across this site. Campaign inputs (spend, clicks, leads) illustrate a 30-day run. Every result below is calculated from those inputs, and the full method is shown so you can reproduce it.

Numbers

Full metric table

GEO

Thailand (TH)

Vertical

Weight Management — metabolism and appetite control

Traffic source

Native ads (Taboola, Outbrain, MGID)

Period

30 days

Ad spend

Campaign input

$8,200

Clicks to lander

Campaign input

66,700

Leads

Clicks x 2.4% published CR

1,601

Approval

Leads x published average approve rate

765 orders (47.8%)

Payout

Published band $18–$32 per approved order

$25 per approved order

Revenue

Approved orders x payout

$19,125

Profit

Revenue - ad spend

$10,925

ROI

Profit / ad spend

133.2%

Effective cost per lead

$5.12

Effective cost per approved order

$10.72

Payment cycle

14 days

Campaign

Angle and execution

The angle

Advertorial-first: a Thai lifestyle article about metabolism after 35, leading into the offer instead of selling from the headline.

What worked

Advertorial pre-lander doing the persuasion, short form doing the conversion
Widget-level whitelists rebuilt weekly from lead quality, not clicks
Urban-female-skewed placements matching the published audience profile
Steady daily budget instead of aggressive scaling — native punishes spikes

What was cut

Direct-to-lander traffic without the advertorial step
Widgets with high click volume but consistently low approve rates
Desktop placements, which underperformed mobile throughout

Takeaway for affiliates

Native rewards patience: the profit came from cutting sources on approve rate rather than on click cost.

Methodology

How these numbers are produced

Definitions, formulas, data sources and what has been anonymized.

How each metric is calculated

Leads = clicks to the lander x the conversion rate published for that vertical in the offers vault.
Approval = leads x 47.8%, the network average approve rate on quality traffic. An approved order is a lead confirmed by the Thai call-center and accepted for delivery.
Payout = the midpoint of the payout band published for that vertical, per approved order.
Revenue = approved orders x payout.
Profit = revenue - ad spend. No other costs (creative production, tooling, taxes) are deducted.
ROI = profit / ad spend, expressed as a percentage.
Effective cost per lead / per approved order = ad spend divided by leads or approved orders.

Where the inputs come from

Network inputs — approve rate, per-vertical conversion rates, payout bands and the 14-day payment cycle — are the figures published on this site's offers vault and affiliate pages. Nothing here uses a better number than we publish elsewhere.
Campaign inputs — ad spend and clicks — are illustrative for a single 30-day run. They are the part of any case that is campaign-specific, and yours will differ.
Period — every case covers 30 consecutive days, with leads counted on the day they were generated and approval measured after the call-center cycle closes.

What is anonymized, and what is not

Partner names, account identifiers, advertiser brand names and creative assets are withheld. Teams are labeled A–D.
Verticals, traffic sources, angles, formulas and all metrics are shown in full.
No third-party dashboard screenshots are used, because a screenshot proves nothing that the arithmetic above does not already show.
These cases are modeled from published averages. They are not audited results and are not a guarantee of your performance.