Leads for a Phuket agency: 9 deals and $1,677,000 in sales over 2 months

Context

A real estate agency in Phuket that helps clients buy liquid property yielding more than 13% a year, on exclusive purchase terms and with legal support throughout. The campaigns addressed Russian- and English-speaking buyers at the same time.

The agency is not named in this case study; every figure below comes from the campaigns themselves.

Delivered with our partner team for real estate marketing. Client, developer and project names are withheld under NDA; the figures are the campaign’s own.

The brief

1. 01

   Bring in 300+ targeted leads in each of the Russian- and English-speaking markets

2. 02

   Run A/B tests between the language segments

3. 03

   Raise the share of leads that become qualified

4. 04

   Raise the lead-to-deal conversion rate

What we launched

74 ad groups launched

We produced 200 original video creatives, each tied to an extended customer journey map (CJM) for its ad platform.

16 quiz landing pages

Every one of the 16 projects in the campaign got its own branded quiz page — 16 variants in total.

Anti-spam filtering

More than 355 devices and IP addresses were barred from the ads. To sharpen delivery, devices set to Turkish, Bulgarian, Czech, French and Ukrainian were switched off, and 4,260 bots and direct non-qualified visits were kept away from the main landing page.

04

AI lead qualification

Manual lead handling was A/B-tested against the AI qualifier, comparing ENG and RU conversion. The AI qualification funnels were simplified so leads move from first-line processing to brokers faster, and a new way of reaching clients by calling them through messengers was added.

Results

• Traffic 715 leads

  in 2 months across the ENG and RU segments

• Deals 9 deals worth $1,677,000

  closed at an average of $186,330 per deal

• Quality 45%+

  of leads were high quality against the overall KPI

• Qualification 300+ leads

  passed qualification; the AI qualifier cut the average time it takes and lifted both reply and sales conversion

• Anti-fraud 4,260 bots

  filtered out, which kept a significant part of the budget for real leads

• Lead processing 11 leads a day

  from the campaigns were worked by the client’s sales team