Performance Marketing Software

Dashboards show numbers. You still have to make the calls.

Mateq works on both halves: the quality of the measurement signal, and the campaign decision that depends on it — with reasoning, approval, and a change history you can point at.

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What does performance marketing software do?

It connects your advertising accounts, evaluates the data on a schedule, surfaces what needs attention, explains why, and prepares concrete changes. The line between a reporting tool and a working tool sits exactly there: does it end at the chart — or at a recommendation you can approve or reject?

Why more data does not produce better decisions

The category's default failure mode is reporting theater: a tool shows fifty metrics and leaves you with the question of which one matters this week. An account produces thousands of metrics; maybe seven are relevant. The real work is the selection — named rules with thresholds — not making every dimension chartable.

The second gap is separating measurement from management. Recommending bid changes without checking the conversion signal risks optimizing noise. That is why "clicks but zero conversions" is a campaign finding in Mateq, not a footnote in a tracking tool.

And third, the question of roles: fully automatic systems take the decision away exactly where judgment is required — budget, brand, offer. Pure dashboards do the opposite and leave all the work with you. Neither is satisfying.

What the software covers

The campaign side and the measurement side belong together — otherwise one half optimizes against data nobody vouches for.

Google Ads and Meta

Both channels in one place, each judged by the metrics that fit it rather than by a shared average.

Analysis with reasoning

Findings name the rule, the underlying data, and the period — checkable rather than oracular.

Prioritized recommendations

Proposals are ordered by expected impact, so the sequence is right and not just the list.

Approval and history

No change reaches an ad account without your confirmation, and every applied change stays attributable.

Tracking as a campaign topic

Measurement setup, recurring real-browser verification, and tracking findings shown next to campaign findings.

Multiple clients or brands

Agencies and teams work in separate workspaces — with the same traceable change log in each.

What working with Mateq looks like

1
Get the data
Google Ads and Meta connect via OAuth and sync on a schedule — down to individual search terms and ads.
2
Filter for what matters
Checks with named rules mark what needs attention: budget waste, weak assets, fatigue, tracking gaps.
3
Understand rather than guess
Every finding comes with the data behind it and how that data was read — not just a number.
4
Prepare the change
Findings turn into concrete proposals: budget, bids, keywords, ad copy, audiences — or, for structural problems, a new campaign draft.
5
Approve and keep the record
You decide per proposal. Applied changes are logged and reversible; dismissals keep the reason you gave.

A week in practice

How the work spreads across a typical week with live Google and Meta campaigns:

Illustrative example

Monday: Sync flags a waste cluster (CHF 240) and one fatigued Meta creative
Tuesday: Three recommendations reviewed: two applied, one dismissed with a reason
Wednesday: Tracking re-check confirms the relaunch did not break form tracking
Total effort: under an hour, every change logged

The point is not the time saved but that the week ends in decisions instead of a report nobody reads.

Figures and sequence are illustrative, not typical results.

Control is a feature, not a compromise

Mateq finds, explains, and prepares — you decide. That is a position, not a technical limitation: budget responsibility cannot be delegated, and a proposal you cannot follow is not a proposal. For agencies, the complete history is also what makes the work demonstrable to a client.

So there is no bulk apply across campaigns: changes are reviewed and approved one at a time. Where the problem is structural, Mateq produces a campaign draft you can inspect in full before publishing — the existing campaign stays live until you decide otherwise.

And the boundaries stay stated: Mateq evaluates what the platforms expose and verifies tracking as far as it is provable from outside. What Google or Meta book internally remains theirs.

Who this fits — and who it does not

Mateq fits if you own Google and Meta budgets and want both things: control over the decisions and relief from the preparatory work. That applies to in-house marketing leads as much as to agencies managing several accounts who need to evidence their work.

It fits less well if you want a pure reporting tool that only aggregates numbers — or, at the other end, a system that acts in your accounts without asking. Mateq is deliberately neither.

The plans differ mainly in how many accounts you connect and how often analyses and checks run automatically.

Common questions

How is Mateq different from a reporting dashboard?

A dashboard ends at the chart. Mateq ends at a named recommendation with its reasoning, which you approve or reject — and applies it in the ad account once approved. Then there is the measurement side: a dashboard never checks whether the conversion signals it visualizes actually work.

Does this replace an agency?

It does not replace judgment about your offer and your market. It replaces the preparatory work: gathering the data, spotting what stands out, and drafting the changes. Plenty of agencies use Mateq themselves, with a separate workspace per client.

Will the software change anything without my approval?

No. Every change to campaigns, budgets, or ads requires your confirmation. Applied changes stay logged and can be rolled back.

Why does tracking belong in campaign software?

Because optimization quality is capped by signal quality. Recommending bids without knowing whether the conversion event fires at all is advice on unsound footing. Mateq builds the measurement, re-verifies it in a real browser on a schedule, and reports tracking problems as campaign findings.

How quickly can you be up and running?

Accounts connect through OAuth; the first sync and analysis then run on their own. For the measurement setup a website scan is the starting point — no development work required.

See it against your own numbers

In a demo we walk through your accounts — or connect them yourself and let the first analysis run.