Traffic conversion to LP
Screenshot of Growth Hypothesis Test Metrics for LP Traffic Redirection
Client
Furniflex
Industry
Digital marketing
Location
Dubai
Target region
UAE
Budget
11,700 AED
Project start
2024
Result
Reduced CPL from 100 AED to 27 AED
Result
Qualified lead share increased to 83%
Result
LP built and launched in 2 days using no-code tools
Result
Developed a scalable model for future projects
Reduced cost per lead by 50% while improving lead quality
1
Build an LP (landing page) within 2 days
2
Configure integrations (CRM, WhatsApp, telephony, analytics system)
3
Set up optimisation goals for data transfer to ad platforms
4
Streamline the lead submission process for users
Challenges encountered during the project implementation
Rapid hypothesis testing
Need to quickly test ideas and scale working solutions for growth.
High cost of leads in Meta
Successful funnels in Meta Ads showed high CPL, which prevented scaling.
Low performance of existing tools
Marquiz and main website didn't provide required conversions and traffic quality.
Lack of established demand
Startup project operated in niche without ready audience and established needs.
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From Hypothesis to Landing Page
- Phase 1. Analysis and Hypotheses
Analysis of current advertising campaigns (492 ad combinations, 75 campaigns).
Conclusion: the main website generated high-quality leads but at a high cost; Marquiz delivered cheaper leads with lower quality.
**Hypothesis:**An LP would combine the strengths of both approaches (low CPL + high lead quality)
Phase 2. Landing Page (LP) Development
Developed the LP structure and prepared the layout in Figma.
Using a plugin, quickly transferred the layout along with layers and styles from the client's website.
Coded the LP while preserving the main website’s design and adapted it for mobile devices.
Edited a vertical video and placed it in the first screen of the LP.
Collected the necessary blocks and transferred them to Tilda.
Adapted the blocks for different screen resolutions.
Published the LP on a subdomain.
Phase 3. Integrations and Automation
CRM (Bitrix24): Set up request forms and data transfer.
- Lead Autoqualification:
Automated lead qualification (A, B, or C) was configured based on quiz questions in Marquiz on the website and in qualifying questions within the request form.
We designed a logic system for combining answers that determine a lead’s qualification level. In Marquiz, we used questions identifying the three key qualification parameters:
Client budget
Product need
Urgency — how soon the client is ready to purchase the product or service
Answers to these questions were sent to separate fields in the CRM when a deal was created after form submission or completion of the Marquiz quiz.
Using no-code integration platforms (Zapier, Albato), we set up automation for each qualification level (A, B, or C) based on filled deal fields containing answers to qualifying questions. Automations were built by setting filters according to answer texts, taking into account all possible combinations.
When a deal was created with completed qualifying answers, the automations were triggered. Upon passing the filter in a specific automation (A, B, or C), the qualification field in the CRM was automatically filled.
Sending Offline Conversions to Google Ads for Ad Optimisation:
We configured the transfer of the Google Ads click ID into a separate CRM field alongside UTM tags and ClientID.
We created custom goals in Google Ads of the type “Offline Conversion based on CRM data” for each qualification level (A, B, C), key funnel stage, or sum of key sales funnel stages. These goals are used in ad campaigns for performance optimisation.
When a lead received a certain qualification or reached a key funnel stage, an offline conversion was sent to Google Ads and matched with advertising data using the GCLID click identifier.
Effect achieved after redirecting traffic to the LP
The project demonstrated that even with limited time and budget, significant efficiency gains can be achieved by combining landing pages, automation, and data-driven advertising. The successful model is now being replicated across other projects.
Key Outcomes:
by 2x
reduced cost per lead
up to 83%
increased share of qualified leads
TOP-1
created scalable model for other projects