Paid media & campaign management

Paid campaigns built to actually perform.

We manage paid campaigns across Google Ads, Meta Ads, ChatGPT Ads and other relevant platforms. We focus on what actually influences performance: the offer, landing page, tracking, audience, creative and budget structure.

Creative A/B testMultiple channels · sample data
Example
  • Google Ads
  • Meta Ads
  • ChatGPT Ads
Variant Aconv.
46%
Winner
Variant Bconv.
88%
Example budget shiftB → 72%

Advertising platforms we can support

Platform overview. Hover or focus the list to pause movement. Drag or use the arrow keys to browse.

  • Google Search Ads
  • Google Shopping / Merchant Center
  • Microsoft Advertising
  • Meta Ads
  • Instagram Ads
  • LinkedIn Ads
  • TikTok Ads
  • YouTube Ads
  • ChatGPT Ads
  • X Ads
  • Pinterest Ads
  • Reddit Ads
  • Snapchat Ads
  • Amazon Ads
  • Spotify Ads
  • Apple Search Ads
Who this is for

For teams that can buy traffic but cannot trust the signal.

Advertising becomes difficult to manage when the account, creative and website tell different stories. We bring those decisions into one operating view.

  • Conversions are missing, duplicated or too vague to guide budget decisions.

  • Campaigns accumulate over time without a clear account structure or test history.

  • Creative is refreshed, but the offer and landing page remain unchanged.

  • You need controlled learning before deciding whether to increase spend.

One connected system

Make the account explain its own decisions.

A useful campaign setup should show what is being tested, which signal matters and what happens next when the result is weak, mixed or strong.

Campaign specialist reviewing paid advertising performance

Measurement foundation

Review conversion definitions, tag behavior and reporting gaps before using the data to move budget.

Account structure

Organize campaigns around offers, markets and intent so spend and results can be read without guesswork.

Google Ads, social and ChatGPT Ads campaigns

Define the role, audience, message and landing-page action for each channel before budget is allocated.

Creative hypotheses

Test a specific message, objection or proof point instead of rotating disconnected visual variations.

Landing-page alignment

Match promise, evidence and next step between the advertisement and the page receiving the visit.

Budget decisions

Use agreed thresholds and business context to pause, refine or expand a campaign without hiding uncertainty.

Advertising ecosystem

The goal, audience and budget determine the mix.

We do not recommend every channel by default. Tracking, landing pages, creative and measurement come first. We then select the platforms that fit the campaign question and the available data.

Before channel selection
  • Tracking
  • Landing page
  • Creative
  • Measurement
01

Search & shopping

Capture active demand when people search, compare or want to act locally.

  • Google Ads
    Search · Shopping · Merchant Center · Display · Maps
  • Microsoft Advertising
    Bing
02

Social & B2B

Reach relevant audiences in their professional, community or social context.

  • Meta Ads
    Facebook · Instagram · Messenger
  • LinkedIn Ads
  • Reddit Ads
  • X Ads
03

Video & discovery

Use visual and short-form formats to build demand before people actively search.

  • YouTube
  • TikTok Ads
  • Pinterest Ads
  • Snapchat Ads
04

Retail, audio & apps

Connect campaigns to product discovery, listening moments or app installs.

  • Amazon Ads
  • Spotify Ads
  • Apple AdsScope varies by goal and market

The final channel mix depends on the goal, audience, budget, creative and measurability. More channels do not automatically make a better plan.

How we work

From account access to a controlled campaign cycle.

We establish what can be trusted, narrow the first test and preserve a clear record of why the account changed.

Audit access and measurement

Review the existing account, conversion definitions, landing pages, consent behavior and available historical context.

Launch a focused test

Choose one priority, build the required campaign and creative set, and document the signal that will inform the next decision.

Read the signal and respond

Assess lead or sale quality with volume and cost, then refine the offer, creative, targeting or page before scaling.

What you receive

Campaign work you can inspect

You receive the account structure and decision record, not just a dashboard with unexplained movement.

  • Account, access and measurement review
  • Campaign architecture and naming system
  • Audience, query and exclusion plan
  • Bounded ChatGPT Ads test plan
  • Creative hypotheses and copy variants
  • Landing-page recommendations
  • Budget and test decision log
  • Reporting with actions for the next cycle
Frequently asked questions

Practical questions before campaign work starts

The right setup depends on what is already running, which data is reliable and who owns the page and creative work around the account.

Do you manage ChatGPT Ads?

Yes, when the advertising account and relevant market have access. We connect the message, landing page and conversion measurement in a bounded test plan. Availability, placements and results are determined by the platform.

What access and data do you need first?

We normally begin with the relevant advertising accounts, analytics and tag configuration, plus the landing pages and current conversion definitions. We agree on the minimum permissions needed for review and delivery.

Will you rebuild an existing account from scratch?

Not automatically. We keep useful history and structure when it still serves the offer. A rebuild is proposed only when the current setup prevents reliable measurement or controlled decisions.

Who creates the ads and landing pages?

That responsibility is set in the scope. We can provide copy, creative production and page improvements, or work with your existing team using shared briefs and approval points.

How do you work with a limited test budget?

We narrow the number of markets, offers, audiences or creative questions so the available budget is not spread across too many unknowns. We do not treat a small sample as proof.