Advanced Marketing Automation Platform for Marketers and Business Executives
Python VUE.JS Pandas Redis MS SQL

The challenge
FlameOFF incorporated different digital marketing techniques and marketing software tools (Google and Bing ads, email, Social media advertising). The data from these tools was not combined, so it was not possible to measure the effectiveness of marketing channels to see which efforts bring higher ROI.
With new leads, customers, and orders it was important to analyze and track the work of the marketing department. Various sources were incorporated including but not limited to google analytics, CRMs, and call tracking, however, this data was not connected, and it was not easy to track the customer’s journey to see which strategies were and weren’t effective at driving conversions.
Because of the limited visibility, it was near impossible to identify the most successful marketing campaigns, the ineffective advertising channels, and measure and increase ROI. The many disparate tools lead to a double-entry issue in data and paid advertising proved to be unpredictable leaving more questions than answers.
FlameOFF incorporated different digital marketing techniques and marketing software tools (Google and Bing ads, email, Social media advertising). The data from these tools was not combined, so it was not possible to measure the effectiveness of marketing channels to see which efforts bring higher ROI.
With new leads, customers, and orders it was important to analyze and track the work of the marketing department. Various sources were incorporated including but not limited to google analytics, CRMs, and call tracking, however, this data was not connected, and it was not easy to track the customer’s journey to see which strategies were and weren’t effective at driving conversions.
Because of the limited visibility, it was near impossible to identify the most successful marketing campaigns, the ineffective advertising channels, and measure and increase ROI. The many disparate tools lead to a double-entry issue in data and paid advertising proved to be unpredictable leaving more questions than answers.
Tizbi Solution
End-to-end analytics and an automated bidding system were the answer. Tizbi’s expert programmers were able to design an entirely new system that specialized in analyzing and controlling the digital marketing of a company.
The end-to-end analytics of FlameNavigator tracks the path of a customer from the point of contact to the final purchase, as well as any future transactions. It also provides next-level reporting with customized dashboards, marketing audits, call center analysis, control over ad budget, lead relevance analysis, and more. The system integration module aggregated all the tools into one connected system that allows for a deep analysis of marketing results. With FlameNavigator, all marketing data and various software programs are combined in one tool, improving organization and removing double entry issues.
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