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Project: promo.tezpul.uz

 

Point A - Initial situation

 

The client faced high lead costs and an unstable lead generation rate.

Main problems:

  • the advertising traffic was broad and resulted in many non-targeted clicks;
  • there was a lack of high-quality filtering of audiences and negative keywords;
  • Analytics did not allow us to accurately track real requests and optimize campaigns for conversions.

 

Point B - Our actions

 

  • We have developed a systematic process for promoting microcredit services:
  • We completely rebuilt the Google Ads structure for narrow and targeted segments.
  • We filtered out irrelevant traffic and compiled a large core of negative keywords.
  • We implemented correct web analytics: events, goals, conversion tracking.
  • We optimized rates based on traffic quality and user behavior.
  • Conducted A/B tests of ads and landing pages.
  • This made it possible to significantly reduce the cost of an application in one of the most competitive niches.

 

Working period

 

1 year

 

  • Advertising budget
  • Total budget: 2,700 $
  • Average monthly budget: about 225 $/month

 

Results

 

  • Cost per lead: 3.3 $
  • Clicks: 11.2 thousand.
  • Views: 120 thousand.
  • Average cost per click: 0.24 $
  • Actual account expenditure: 2.69 thousand $

 

At the current cost per lead, the client received approximately 800–820 applications during the period of cooperation.

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Service: printing and production of printed products Tools: contextual advertising + web analytics

Point A - Initial situation

The client asked to increase the flow of orders for printing services. The main challenges at the start were:
  • irrelevant traffic, clicks did not turn into applications;
  • no segmentation by product type (business cards, catalogs, banners, packaging);
  • advertising had poor competition in the niche due to poor campaign structure;
  • There was a lack of accurate conversion analytics, which hindered optimization.

Point B - What we did

We've built a working lead generation system:
  • We divided advertising campaigns into specific types of printed products.
  • We rebuilt the semantic core and excluded expensive, irrelevant queries.
  • We implemented web analytics and set up tracking of applications and calls.
  • We optimized bids and tested various creatives to increase CTR.
  • We set up a strategy to maintain a minimum CPL while maintaining a stable number of impressions.
After optimization, the client began receiving stable leads at a competitive price.

Working period

1 year

Advertising budget

  • Total budget: 2,600 $
  • Actual expenses: 2.69 thousand $
  • Average monthly budget: approximately 215 $/month

Results

  • Cost per lead: 4 $
  • Clicks: 7.49K.
  • Views: 39 thousand.
  • Average cost per click: 0.36 $
With a CPL of 4 $, the client received approximately 650–700 applications per year.

Printing

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