Most paid media underperforms because platforms are managed in isolation. Algorithm runs your full media mix as one connected system, with senior specialists accountable for revenue, not just results on a dashboard.
The challenge
AI-driven bidding has automated the mechanics of paid media. What it hasn't automated is the strategy that sits above it - deciding where to allocate budget across channels, how to feed platforms the right signals, and how to connect ad spend to the commercial outcomes that matter.
Most paid media programmes suffer from the same structural problem: each platform is managed for its own metrics. Google optimises for conversions. Meta optimises for engagement. Nobody optimises for the revenue impact of the combined system. Budget leaks between channels. Cannibalisation goes undetected. The board sees spend going up and growth going sideways.
Algorithm fixes the system above the platforms. We run your full media mix as one connected engine - with a signal strategy that feeds every platform, a measurement framework tied to revenue, and senior specialists who are accountable for the commercial outcome, not the channel score.
How most teams run it
Each platform optimises for its own metric
How Algorithm runs it
One system. One set of numbers. Revenue.
Measured in revenue, not impressions
Every pound of media budget is accountable to a commercial result. Not a click rate. Not a quality score. A revenue outcome you can report on.
Every campaign is connected to pipeline and revenue data - not just platform conversions. You know which spend is working and which is costing you margin.
Algorithm's Diagnose stage consistently identifies 30-40% budget misallocation. Reallocation into the right channels, audiences, and moments compounds returns over time.
Proprietary AI tooling runs creative and audience tests at scale. We identify what works sooner, scale it faster, and remove what's wasting budget before the month ends.
The paid media model
Algorithm doesn't manage channels. It manages the system that connects them. Each pillar below is a component of one integrated media engine - designed to work together, measured together, and optimised for the same commercial outcome.
Google & Performance Max
Turn high-intent demand into revenue.
Google Ads and Performance Max are the most direct line from intent to conversion in paid media - when run correctly. Algorithm's Google Premier Partner status means we operate with full access to Google's advanced toolset, beta features, and strategic support. Our paid search strategy is set using Market Share Analysis data, so every campaign targets demand we know exists and that we know converts.
Meta, LinkedIn & TikTok
Turn audience intelligence into demand.
Paid social is where first-party data, creative, and platform AI converge. Algorithm's approach starts with signal strategy - ensuring platforms receive the strongest possible data inputs before a single ad is served. Creative testing is systematic, not intuitive. And campaigns are built for full-funnel impact: generating demand at the top, qualifying it in the middle, and connecting it to revenue at the bottom.
Data-led precision at scale
Turn reach into precision.
Programmatic removes the false choice between scale and targeting. Algorithm's programmatic practice uses data-led audience modelling to reach the right people at the right moment - across display, video, native, and connected TV. Impression quality is scored against commercial signals, not just viewability. Every programmatic placement is connected to the same attribution framework as search and social.
Attention to consideration
Turn attention into consideration.
Video is the fastest-growing paid media surface and the most underutilised for commercial outcomes. Algorithm's video strategy connects organic and paid video signals into a coherent presence that moves audiences through awareness and into the conversion funnel. Performance is measured against brand lift, search query lift, and downstream revenue contribution - not views.
Foundation layer
Turn data into competitive advantage.
AI-driven platforms are only as good as the signals they receive. Algorithm builds and maintains the data infrastructure that feeds every paid channel - first-party data activation, Conversion API implementation, offline conversion imports, and CRM integration. Better signals mean better targeting, lower CPAs, and faster AI learning cycles.
High-intent capture across search, shopping, and full-funnel Performance Max campaigns.
Demand generation and conversion across the largest social advertising platform in the world.
B2B demand generation, lead capture, and account-based targeting for professional audiences.
Discovery and demand creation for brands competing for attention in short-form video.
Data-led reach across premium inventory, display, video, native, and connected TV.
Brand and consideration campaigns connected to downstream search and conversion signals.
Automation governed, not surrendered
AI-driven bidding and campaign automation have made paid media faster. They have also made it easier to spend more without knowing why performance is moving in a given direction.
Platforms optimise what you tell them to optimise. If the objective is off, the signals are weak, or no one oversees the system, budget drifts toward the easiest path - rarely the path that drives real commercial return.
Paid media moves fast - faster than most teams can keep up with. Without a clear system, spend increases while performance remains unpredictable.
Objective setting tied to revenue
We connect platform objectives to pipeline and commercial outcomes before a campaign launches.
Signal strategy first
Conversion APIs, first-party data, and offline imports give platforms the strongest possible inputs.
Automation governance
AI tools run the execution; senior specialists set the strategy and hold the system accountable.
Incrementality measurement
We track whether campaigns are driving new demand - not just capturing intent that was already there.
Proprietary optimisation layer
Algorithm's AI tools monitor performance anomalies, reallocate budget, and flag issues before they compound.
Paid media as a system component
Paid media is the most controllable growth lever in the system - but it is most powerful when connected to organic signals, conversion data, and audience intelligence from every other channel. In the Algorithm framework, paid media feeds and is fed by every RACE stage.
What makes this different
Premier Partner status means top 3% globally, full access to beta features, direct Google support, and performance benchmarks that hold us accountable. Five consecutive years - not a one-off qualification.
Before we recommend a channel mix or set a budget, we run a commercial audit. Market Share Analysis, budget efficiency analysis, and channel interconnection mapping tell us where paid media will have the greatest impact - before a rand is spent.
The person who designs your media strategy is the person running your accounts. No briefing chain. No junior team learning on your budget. Senior performance specialists, accountable for commercial outcomes.
Algorithm's proprietary AI tools handle anomaly detection, bid strategy monitoring, creative performance analysis, and budget reallocation signals - so senior specialists spend their time on strategic decisions, not manual optimisation tasks.
The question is whether it's working as hard as it could.
Audit My Media Spend