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Infinity Logistix: automating conversion growth

Case data Promotion features From hypothesis to LP creation ROI and key indicators End-to-end analytics screenshot, period 01.03.25–31.05.25, Rejection — rejected, Contact later — follow up later, Qualification completed (ABC) — qualification passed, Contract sent — contract sent Project: Infinity Logistix Industry: Lo

Preserved from an earlier website era Case study March 25, 2026

Case data
Promotion features
From hypothesis to LP creation
ROI and key indicators

End-to-end analytics screenshot, period 01.03.25–31.05.25, Rejection — rejected, Contact later — follow up later, Qualification completed (ABC) — qualification passed, Contract sent — contract sent

Project:

Infinity Logistix

Industry:

Logistics / dispatch service (trucking, USA)

Geography:

USA

Model:

B2B / C2C marketplace

Start date:

October 2024 (initiative launch), active system development — November–December 2024

Result:

Lead-to-contract conversion increased from 3.7% to 8.2% after implementing analytics and automation in Facebook

Result:

Lead loss reduced by 35% through end-to-end analytics and funnel control

Facebook contextual advertising for a B2B logistics service

Gain visibility into call quality without manual listening

Implement end-to-end analytics from click to signed contract

Automate routine lead management processes

Optimize ads based on real funnel data

Achieve a lead-to-contract conversion rate above 6% (baseline: 3.7%)

Reduce lead drop-off below 40% and increase number of contracts

Challenges of managing the funnel and sales in Facebook advertising

No visibility

What happens after a lead and where it gets lost

There is no rating

It is impossible to evaluate the quality of campaigns and funnel leads

Loss of leads

Between the stages: form → call → contract

There is no feedback

On the manager's work and call quality

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Stages of building voice and end-to-end analytics system

Stage 1. Tool selection and integrations
We conducted an audit of voice analytics, end-to-end analytics, and automation tools. We compared off-the-shelf SaaS solutions with a custom no-code stack integrated with Facebook. Ultimately, we chose a custom setup (RingCentral, ChatGPT, Zapier, Albato) due to flexibility, cost efficiency, and faster implementation.
Stage 2. Prompt development and iteration
We built an AI system for analyzing sales calls, gradually increasing prompt complexity. Each version added new evaluation layers, lead qualification logic, and structured recommendations. Prompts were continuously refined based on real calls and feedback, improving accuracy over time.
Stage 3. Launch and sales manager control
We implemented daily call evaluation with AI feedback delivered automatically via Telegram. This helped identify weak points in the sales manager’s performance and gradually improved scores from 1–2 to 9+. Improvements were supported by ongoing script refinement and communication optimization.
Stage 4. End-to-end analytics implementation
We built a system tracking the full funnel from Facebook ad click to signed contract using GA4, Typeform, CRM, and call tracking. This provided full funnel transparency and enabled campaign performance analysis and bottleneck detection. Based on the data, multiple marketing hypotheses were tested.
Stage 5. Automation layer
We automated deal creation, call processing, CRM updates, and document generation using no-code tools. This eliminated manual work for the sales manager and reduced lead processing time to seconds. All core processes became fully automated and scalable.

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Impact of implementing voice and end-to-end analytics in Facebook advertising

The integrated system of analytics and automation significantly improved sales efficiency by providing full funnel transparency and control over call quality. ROI and key metrics: sales funnel performance growth Implementing voice analytics, end-to-end tracking, and automation enabled full visibility into the sales funnel, improved sales manager performance, and optimized Facebook ads based on real data. This led to higher conversion rates, reduced lead loss, and more contracts while lowering CPA. Over 4 months of operation:

From 3.7% to 8.2%

Lead-to-contract conversion increased

By 35%

Lead loss reduced

+55.5%

Number of contracts increased

By 18%

CPA decreased