ProMarketer.AI

Ad campaigns that tune themselves. Bids, budgets and audiences adjusted automatically across Amazon, Meta and Google Ads, with the underperforming ads paused and the ones that work pushed harder.

Services
UI/UX design
Web app development
AI and machine learning
Cloud
Industry
B2B · AdTech and marketing automation
Case study cover: the ProMarketer.AI site on a laptop, headed “Master the Art of High-Impact Ad Campaigns” beside the Amazon, Meta and Google logos, with callouts to pause underperforming ads and boost the ones that are working

Overview

Together, Sphinx and ProMarketer.AI

Running paid advertising well is a full-time job. Bids need watching, budgets need moving, audiences need refining, and doing it across Amazon, Meta and Google at once means doing it three times in three different places.

ProMarketer.AI optimises the campaigns for you, so the work that used to need constant attention and real expertise happens on its own.

Sphinx Solutions built the platform. It reads campaign data as it arrives, refines the targeting and manages the campaigns dynamically, so the spend moves towards what is working while it is still working.

Smart bidding, predictive analytics and automated audience segmentation put the ads in front of the right people at the right time, and a business can scale its advertising without scaling the team that watches it.

The point is not that AI runs the ads. It is that a brand can run high-performance campaigns without a specialist sitting over them every day.

Client Requirement

Client Requirement

01

Optimisation that runs itself

Ads that improve without the user going back in to adjust them.

02

Every platform in one place

Connect to Google Ads, Meta and Amazon so campaigns are managed together rather than tab by tab.

03

Targeting that is actually smart

Put the ad in front of the right person at the right moment, which is where the return comes from.

04

Live performance tracking

A dashboard showing how campaigns are doing right now, so decisions are made on current numbers rather than last week’s.

05

Better results for less

Manage budgets so that wasted spend goes down while conversions go up.

06

Usable without expertise

A straightforward interface, so running ads does not require a specialist.

Pause What Is Not Working, Push What Is

The challenge

Managing paid advertising manually is slow, and it needs knowledge most businesses do not have in-house. Campaigns need constant monitoring and hands-on adjustment, so companies overspend and still do not get the returns they expected.

Without automation, budgets get wasted, conversions stay low and the opportunities move past while somebody is still reading a report.

Integrating with Google Ads, Meta and Amazon while keeping every figure accurate across all three was the hard engineering problem, because each platform models a campaign differently.

The interface was the hard design problem. Most ad tools assume a specialist is driving, which is exactly the assumption this product needed to remove.

The solution

We built the optimisation engine and the dashboard over it, and connected both to the platforms the ads actually run on.

  1. An AI engine that adjusts bids, selects audiences and manages campaign performance without anyone stepping in to do it.
  2. A solid API layer joining Google Ads, Meta and Amazon, with one dashboard syncing the data from all of them.
  3. Budget management that shifts spend away from what is not converting, so the same money does more work.
  4. A simple interface with automatic defaults and clear reporting, built so a non-specialist can run a campaign properly.

The result pauses the underperforming ads and pushes the ones that are working, continuously, on cloud infrastructure that scales with the spend.

The outcome

Sphinx Solutions delivered ProMarketer.AI: automated bid and budget optimisation, audience targeting and real-time performance tracking across Amazon, Meta and Google Ads, in one dashboard on scalable cloud infrastructure.

Customer testimonial

“What ProMarketer.AI has done to our campaign management is fantastic. Work that used to take days, and the constant adjusting between different platforms, is now handled entirely by the AI. Our ad performance has improved enormously and we are getting more for less. For anyone who is not particularly marketing-savvy this is one of the easiest platforms there is, and we are delighted with the results.”

How We Work

Development Process

  1. Step 1

    Understanding the problem

    We worked through what digital ad management actually involves day to day, and where automation genuinely helps rather than just adds a layer.

  2. Step 2

    Building the optimisation engine

    Algorithms to take over bid adjustment, audience targeting and campaign performance tracking.

  3. Step 3

    Platform integrations

    Google Ads, Meta and Amazon connected so campaigns across all three are managed from one place.

  4. Step 4

    Improving ad performance

    AI managing ad spend against conversion rates, so the budget follows the return.

  5. Step 5

    Designing the experience

    A dashboard with straightforward campaign setup, real-time tracking and automated insights, built for people who are not advertising specialists.

  6. Step 6

    Testing and tuning

    Extensive testing to fine-tune the algorithms, confirm accuracy and optimise how ads are delivered.

  7. Step 7

    Launch and continuous improvement

    Deployed on cloud infrastructure that scales, with model and automation improvements continuing against user feedback.

Impact

Impact It Created

Campaign management without the hours

The monitoring and adjusting that used to take a specialist’s daily attention happens automatically.

No marketing expertise required

The AI handles the optimisation, so a business can run competent campaigns without hiring for it or learning it first.

More return from the same budget

Smarter targeting and budget optimisation move spend towards what converts and away from what does not.

Every platform in one dashboard

Amazon, Meta and Google Ads managed together rather than separately, which is most of the day-to-day friction removed.

Tech stack

What It Was Built With

In closing

Summing Up

ProMarketer.AI automates the part of advertising that rewards constant attention and punishes its absence. Budgets, targeting and bids get adjusted continuously rather than whenever somebody next opens the dashboard, which is where most of the wasted spend in paid advertising goes.

We built the optimisation engine, the integrations into Amazon, Meta and Google Ads, and the dashboard over the top, on infrastructure that scales with the campaigns running through it.

Questions &
Answers

What people usually ask about ProMarketer.AI and about building something like it.

An AI platform that manages and optimises digital advertising: it handles budgets, refines targeting and improves campaign performance without the manual work that usually goes with it.

By doing the things that need doing constantly. It analyses behaviour, forecasts trends, automates campaign management and personalises what people see, all against live data rather than a weekly report.

It does a different job. Google Analytics, HubSpot, SEMrush and Salesforce Einstein are broad analytics and marketing suites that tell you what happened. ProMarketer.AI is narrower and acts: it optimises the ad campaigns themselves, continuously, across the platforms they run on.

It connects to your ad platforms, analyses how campaigns are performing and adjusts them. You set the ads up; the AI handles optimisation, targeting and budget from there.

Yes. It is built for any size, and arguably it matters more to a smaller business, which is the one least likely to have a paid-advertising specialist on the payroll.

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