Website
User & Admin Dashboard
Advertising Campaign Management Platform
Project Overview
Bamatop is an advertising campaign management platform that enables businesses to create, manage, and monitor advertising campaigns across Instagram, Telegram, and local messaging platforms through a unified dashboard.
Users can select their preferred platform and campaign type based on their marketing objectives, then launch campaigns through various advertising services including performance-based campaigns, reservation campaigns, influencer marketing, proxy services, and forced-add campaigns. The platform supports the entire campaign lifecycle, from media selection and content management to pricing, payment, and campaign tracking.
In this project, I was responsible for the UX and UI design of the advertiser dashboard, campaign operator dashboard, and admin panel. One of the key challenges was creating a unified experience across these three interconnected systems, ensuring that campaign creation, execution, media management, content approval, payments, and performance monitoring could seamlessly flow between different user roles. While the platform was designed as a connected ecosystem, this case study primarily focuses on the advertiser dashboard and the campaign creation and management experience.
Project Type
Multi-sided advertising campaign management platform for creating, managing, & monitoring digital marketing campaigns across social media & messengers
My Role
Led the UX/ UI design of the advertiser dashboard, influencer dashboard, & admin panel, with a primary focus on campaign creation & management user flows
Collaborate
with product manager, developers to review technical constraints, & also the client to review the business plan
Understanding the Complexity of the System
An advertising campaign creation platform that is actually a marketplace for campaign creators and implementers.
BamaTop lets advertisers buy reach across Instagram, Telegram, and four regional messaging apps (Eitaa, Bale, Soroush, and Rubika) through a single panel.
On the surface, it's a form:
- pick a platform
- pick a format
- upload content
- pay.
Underneath, it’s coordinating inventory across hundreds of independent channels and influencers, calculating prices that shift based on five interacting variables, and gating every transaction behind an identity check.
6
Platforms supported
12
Distinct campaign types
3
Interconnected user types
5
Campaign states per flow
Most ad-buying tools sell one thing: impressions, clicks, placements.
BamaTop sells four fundamentally different products through one interface:
1. CPV-based reach (pay per view, no specific channel guaranteed)
2. reserved inventory (a specific channel or package, at a fixed price), influencer collaboration (a human has to produce or approve something)
3. and proxy/growth services (a different mechanic entirely).
Each has its own pricing logic, its own state machine, and its own failure modes, but advertisers experience them as variations of “make a campaign.”
Why this was hard, specifically!
Advertisers
Most users were experienced campaign managers who understood their marketing goals but not necessarily the operational complexity behind campaign setup. Creating a campaign required navigating different service types, pricing models, media options, content requirements, and platform-specific constraints. The challenge was not completing the workflow itself, but understanding the consequences of each decision. Users needed enough context to confidently choose the right campaign configuration without feeling overwhelmed by the complexity of the underlying advertising system.
Internal admins
Every campaign passes through manual approval before going live. As volume grew, this team became a visible bottleneck — and a source of advertiser-facing delay that the UI gave no indication of.
The hardest design problem wasn’t any single screen. It was deciding how much of that underlying difference to expose to the user, and how much to absorb into the system.
My Role & How I Worked
I was the only dedicated UX person on this product. There was no existing research repository, no documented flows, and no product spec that matched what had actually been built, the source of truth was the backend codebase and the heads of two engineers.
That changed how I had to work. I couldn’t start from user interviews and work toward screens, because I didn’t yet know what the system was actually capable of, where its real constraints were, or which “rules” advertisers were running into were intentional versus accidental. I had to start by understanding the machine before I could design a humane interface for it.
What I Owned End-to-End
Product & System Definition
01The platform was being designed from the ground up, with no existing user flows, design patterns, or consolidated product documentation. I worked closely with stakeholders and engineers to define how different advertising services should be structured and translated into a usable product experience.
Campaign Creation Experience
02I designed the end-to-end campaign creation workflows, including step structures, user journeys, decision points, validation rules, and success states across multiple campaign types and advertising channels.
Complex Business Logic Translation
03Many campaign rules (such as pricing models, media selection requirements, content dependencies, and platform-specific constraints) existed only as business requirements or technical logic. My role was to transform these complexities into interfaces and interactions that users could easily understand and act upon.
Scalable UX Framework
04To support future campaign types, I established a consistent interaction framework across the platform. This created a scalable foundation that reduced design inconsistency and allowed new campaign services to be integrated without redesigning the entire experience.
How I Solved Challenges
Unifying Multiple Advertising Services Into One Platform
Problem
The platform offered a wide range of advertising services across Instagram and Telegram, each with unique workflows, pricing models, and content requirements. In addition, advertisers, influencers, and administrators interacted with the system through separate dashboards, increasing product complexity.
Solution
I designed a unified campaign architecture that standardized the creation process across all campaign types while maintaining service-specific requirements. This created a consistent experience across all user roles and reduced the cognitive load associated with navigating multiple advertising services.
Simplifying Complex Campaign Creation
Problem
Users needed to make multiple decisions throughout campaign creation, including selecting campaign types, choosing media channels, defining content requirements, and configuring campaign settings. Without proper guidance, the process could quickly become overwhelming.
Solution
I structured the experience into progressive, step-based workflows supported by dynamic steppers, contextual guidance, and adaptive forms. This approach reduced decision complexity and helped users focus on one task at a time.
Making Business Logic Understandable
Problem
Campaign pricing, which is based on platform and campaign type, type and amount of content uploaded, as well as platform-specific limitations, had financial and technical complexities that were calculated and changed at every stage with user choices.
Solution
I transformed these backend rules into intuitive user experiences through transparent pricing mechanisms, validation systems for each campaign, content previews, and contextual explanations, making the platform easier to understand and more predictable to use.
Provide campaign visibility from start to finish
Problem
Users needed to clearly see the status of their campaigns after submission, including approvals, revisions, execution progress, and completion statuses.
Solution
I designed a structured campaign lifecycle experience with defined statuses, status indicators, and clear progress tracking that allowed users to understand exactly where their campaigns were at each stage.
A case study that only shows what worked isn’t useful to the people reading it. Three things I’d do differently if I started this project again.
Where I Was Wrong, & What I'd Change
