Regain Upto 15% More Conversions
From Present Ad Budget.

They can, but the common failure is spend leaking into search terms that never convert. Leadmetrics checks every search term a campaign triggers on, flags the wasted ones, and advises what to scale and what to pause — which is where most small budgets are won or lost.

Google, Meta and LinkedIn, with ad copy written per platform rather than reused across them. Audience targeting is built from your own campaign data rather than broad presets.

Google's automation decides bids, placements and sometimes creative combinations on your behalf, optimising toward the goal you set. It is good at execution and blind to context — it cannot tell a high-value lead from a form fill. Leadmetrics keeps that automation running while monitoring what it actually spends on.

Yes. Campaign changes are proposed and wait for your approval — nothing is pushed to a live account without it. You can cancel at any time.

Campaigns are monitored continuously and you are alerted when one drops below its expected performance, rather than finding out in a monthly report.

It follows intent, not platform reputation. Google captures people already searching for a solution, so it usually produces the cheaper qualified lead; Meta and LinkedIn create demand among people not yet looking, which costs more per lead but reaches a larger pool. Most accounts need both, weighted by how much existing search demand their category has.

The mechanics are the same across industries — search term control, audience targeting, budget allocation and creative testing — but the inputs differ. Local service businesses and restaurants lean on location and call tracking, fashion on creative volume and shopping feeds, education on long consideration cycles. The agents are configured per account rather than run from one template.

Two different things get called this. Google's own automation adjusts bids and placements inside the account. Leadmetrics works a layer above that: reading what the automation actually spent on, checking every search term it triggered, and proposing the structural changes — negatives, budget shifts, pauses — that the automation will not make on its own.

An agency gives you a person who reviews the account on a cadence. This gives you continuous monitoring with a human approving each change. The practical differences are response time — you hear about a drop when it happens rather than at the next review — and that the analysis does not stop when someone is on leave.

Agents draft it per platform, since copy that works on Google search rarely works on Meta or LinkedIn, and your team approves before anything runs. Copy is then tested against real performance rather than left static.

Yes. The work happens inside your account, which you continue to own — there is no migration and no requirement to rebuild campaigns from scratch. Existing history is an asset, since it is what the search-term analysis reads from.

It gets surfaced rather than quietly spent. Every search term a campaign triggers on is checked, the ones that will not convert are flagged for negative keywords, and you get an explicit recommendation on what to scale and what to pause. Wasted spend is the most common thing found in a first audit.