Product

Four things from your ad data and your brand

Connect Google Ads, Meta, TikTok, LinkedIn, GA4 and Search Console. Add your website. MarketLin analyses every account daily, builds new ads from what already sells, tracks budget across channels, and sends client-ready reports. Below: what each part does, then plain answers on what it reads, what it can change and how the numbers are computed.

The four parts of MarketLin

01Analyze

Read the recommendation. Click once. Done.

Every connected account is read every day, paid, organic and site data together. Each finding comes with the reason, the money at stake, the recommended fix and a confidence score with its basis. Fix with AI drafts the change for you to approve.

  • The costliest finding first, not an alert count
  • Learning phase, seasonality and conversion volume are checked before a finding is raised
  • Paid and organic read together, so a Meta drop and a tracking break are one story

See two example recommendations

02Create

New ads built from what already sells, written and designed in your voice.

Brand context is extracted from your website: audience, tone, value proposition, colours and logos, editable by you. Describe a campaign and Creative Studio returns four variants with different angles for Meta and Google, next to your live ads with their spend and CTR.

  • Brand overview, brand voice, target audience and value proposition are extracted, then freely editable; a banned-words list is next
  • Images are AI-generated in your brand’s look; claims and offers come only from your brief and your site
  • Every variant is a draft in your library until you publish it

See it on the home page

03Allocate

Every client, every channel: budget, spend and return in one view.

Set a budget per client, track it against spend across Google, Meta, TikTok and LinkedIn with pacing through the month, and see where the next euro works hardest. Recommendations to move budget show the expected revenue and the basis for it.

  • Budget-capped campaigns and leaking spend flagged daily
  • Estimates come as a range with diminishing returns built in, never a single number
  • Moves into retargeting or brand search are capped at 25% per step; ad sets in learning phase get a “wait”, not a move

See it on the home page

04Report

Client-ready reports, scheduled, with the narrative written for you.

Pick a template, choose the metrics, and MarketLin builds the report with an AI narrative that explains what happened and what comes next. Schedule it weekly or monthly and it lands in your client’s inbox as a PDF, in their currency.

  • Meta Paid Media, Website & Conversion, cross-channel monthly
  • White-label: the PDF carries your agency’s logo, not ours
  • You edit the narrative before it goes out; delivery history keeps every month on record

See it on the home page

What a recommendation looks like

Headline, why, fix, expected result. Then one click.

Two examples with fictional clients. Nothing is applied until a person approves it.

Below target ROAS for 6 days: restructure

Meta · Nordlys Studio AB

0.79× against a 1.6× target. Two prospecting ad sets spend €150 a day and return €60.

Pause both. Raise the two retargeting ad sets by 25%.

Expected: about €90 a day stops leaking

Fix with AI

Estimate, not guaranteed. Nothing runs until you approve it.

AI recommendation

Google Ads · Fjällrosa AB

Brand Search is capped by budget at 4.5×: raise it

Out of budget most days: 38% of brand searches never see the ad.

Raise the daily budget by €120 (+25%).

Expected: +€8,100 to €16,200 revenue over 30 days

Fix with AI

Estimate, not guaranteed. Nothing runs until you approve it.

From connected accounts to first fix

  1. STEP 1

    Connect

    Link Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, GA4 and Search Console through each platform’s official OAuth. Agencies connect from their manager account and pick the client accounts to include.

  2. STEP 2

    Brand context

    Add the website. MarketLin extracts audience, tone, value proposition, colours and logos, and you correct anything that is off.

  3. STEP 3

    First read within 24 hours

    The first analysis lands within 24 hours of connecting. From then on, every morning: what changed, what it costs, what to do.

  4. STEP 4

    Act

    Approve the fix, save the ads you like, send the report. Nothing changes in your accounts unless a person on your team approves it.

Under the hood

One analyst, a team of specialists behind it

MarketLin doesn’t run one prompt over a pile of numbers. A dedicated specialist reads each source, then an orchestrator combines their findings into a short set of recommendations, the costliest first, so you get cross-channel judgment, not five disconnected reports.

STEP 1

It reads every source

Your paid, organic and site data, connected through official OAuth.

  • Meta AdsPaid
  • Google AdsPaid
  • TikTok AdsPaid
  • LinkedIn AdsPaid
  • Analytics (GA4)Organic
  • Search ConsoleOrganic
  • LighthouseSite
STEP 2

A specialist analyses each

Every source gets its own analysis that knows what “good” looks like for that channel, what changed this week, what’s working, and where budget is quietly leaking.

Paid specialist

Findings + evidence

Organic specialist

Findings + evidence

Site-performance specialist

Findings + evidence

STEP 3

An orchestrator brings it together

One layer reconciles the specialists, connecting the dots across channels rather than optimising each in isolation.

Synthesize

Pulls every specialist’s findings into one picture of the account.

De-duplicate

Merges overlapping issues so the same problem is never raised twice.

Consistency check

Pressure-tests each recommendation against the data before it reaches you.

Rank by impact

Orders what’s left by expected impact and confidence, then cuts the long tail.

STEP 4

You get a recommendation and a button

Not 40 alerts: a handful of recommendations, the costliest first, each with its expected impact, a confidence level, and a button that applies the fix after your approval.

Cut paid spend masking an organic drop

High impact

Shift budget to your best-performing search

High impact

Fix 2 slow landing pages hurting conversions

Med impact

Why reading everything together matters: a healthy-looking paid account can be quietly covering a drop in organic traffic. Because MarketLin reads paid, organic and site performance in one pass, it flags the dependency, not just the surface number, so you fix the cause instead of the symptom.

What MarketLin reads

Every source, read together

Paid, organic and site performance in one pass, through each platform’s official OAuth.

Paid

Meta Ads

Across Facebook and Instagram, it watches ad sets, audiences, creative fatigue, frequency and ROAS, so you catch a fading creative or a leaking audience before the budget burns.

Paid

TikTok Ads

Campaigns, ad groups and creatives from TikTok Ads Manager sit next to Google and Meta, so spend, CPA and ROAS are compared on the same day and in the same currency across all three.

Paid

LinkedIn Ads

Campaign groups, campaigns and creatives from LinkedIn Campaign Manager, read with the same daily cadence, so B2B accounts get the same findings, budget view and reports as e-commerce ones.

Organic

Google Analytics 4

It reads sessions, conversions and conversion paths from GA4, so paid performance is always judged against what actually converts on your site, not just platform-reported numbers.

Organic

Search Console

Organic clicks, impressions, queries and rankings from Search Console mean a drop in organic traffic can’t hide behind a healthy-looking paid account.

Site

Lighthouse

MarketLin checks page speed and Core Web Vitals on the landing pages your ads point to, because a slow page quietly wastes the spend you send to it.

Data, access and attribution

The questions a buyer asks before connecting

What does ROAS mean here, and where does revenue come from?
ROAS is platform-reported by default: Google Ads conversion value over cost, Meta purchase value over spend, each on the attribution window set in that platform. Where GA4 is connected you can switch a workspace to GA4 revenue, which removes cross-platform double counting but drops view-through. The source is shown on every card and in every report. Shopify order data lands in Q4 2026, which adds order-level revenue, blended MER and new-customer CPA next to platform ROAS.
Does it account for incrementality?
Not with lift tests, no. Recommendations use platform and GA4 data, so retargeting and brand search are read with that in mind: a finding on those campaigns says so, and a budget move into them is capped at 25% of the campaign budget per step, with a re-read after seven days before the next step. Revenue estimates are shown as a range that decays with budget (the top of the range assumes current returns, the bottom assumes half of them on the added spend). If you run holdouts or an MMM, their results do not feed MarketLin today.
How does it handle learning phase and seasonality?
A finding needs the campaign or ad set to be out of learning phase, the conversion volume to be above a minimum, and the change to hold against a 60-day baseline. A year-over-year check flags seasonality where a year of history exists. The basis is printed on every finding, so you can disagree with it.
What can MarketLin change in my accounts?
Nothing on its own. It reads daily and drafts changes. A change is applied only after a person in your workspace with approval rights confirms it, and every applied change is logged with who and when. An owner switches on applying approved changes per workspace, and can switch it off again; until then, approving hands you the change list to apply yourself.
Who on my team can do what?
Three roles per workspace. Owner: billing, connecting and disconnecting accounts, approving changes, inviting people. Admin: connecting accounts, editing brand context, approving changes, scheduling and sending reports. Member: sees the clients assigned to them, drafts ads, prepares reports, and can approve changes only if an owner grants it. Clients do not log in; they receive the reports you schedule.
Which scopes, and why does Google Ads look like full access?
Google Analytics and Search Console use read-only scopes. Google Ads has no read-only scope, so the standard scope is requested and the approval rule above is what limits its use. Meta uses ads_read and business_management; ads_management is requested only if you turn on applying approved changes. The full table is in the Privacy Policy.
Where is data processed?
Stored on Google Cloud in Stockholm. The AI models that write recommendations and ads run with US providers (Anthropic, OpenAI, Google) under EU transfer safeguards and receive aggregated campaign metrics and your brand context, not end-customer personal data. The sub-processor list names every one of them.

Security & transparency

Built to be trusted with client data

No SOC 2 or ISO 27001 certificate yet; we say so rather than imply one. What is in place is below and on the security page, with the Privacy Policy, DPA and sub-processor list public for your own review.

OAuth-only access

We connect through each platform’s official OAuth 2.0 flow. No ad-account passwords are ever seen or stored.

EU hosting

Production data is stored on Google Cloud in Stockholm, under Swedish and EU law.

You can see what we read

Every workspace shows which accounts are connected and what each one shares, in plain language.

You stay in control

Connect or disconnect any account whenever you want, and revoke our access from the platform itself.

GDPR by design

A data-processing agreement covers the accounts you manage for clients; the DPA and sub-processor list are public.

Right to deletion

Export your reports and ads, then ask us to delete your data. We remove it.