Porter Metrics Review 2026: Pricing, Features, Pros & Cons
Porter bills per connected data source account — not per seat, not per report — and the rate collapses from $15 to under $3 as the count rises. Here's the client volume where that beats a per-seat reporting tool, and where it quietly does not.
Quick Verdict
Best for: agencies and freelancers reporting on many small client accounts into Looker Studio or Sheets, where seat counts grow faster than data sources. Least compelling for a single in-house team pulling from one or two platforms.
What Is Porter?
Porter is a no-code marketing data platform that extracts performance metrics from more than twenty advertising, social and analytics sources and delivers them into the four places reporting actually happens: Looker Studio, Google Sheets, Power BI and — added more recently — BigQuery. It is deliberately not a dashboard product. The problem it targets is upstream of visualisation.
That problem is schema reconciliation. Every ad platform names its metrics differently, structures its data differently and holds a different opinion about what counts as a conversion, and stitching those into one client report by hand is where agency reporting time goes. Porter blends across sources automatically, supports custom fields and scheduled refreshes, and ships templates so a client report begins as a report rather than as an empty canvas. The AI layer is a query builder plus alerts and notifications, and notably it is included on every plan rather than reserved for a premium tier.
The pricing model is the part worth studying before you compare Porter to anything else, because it is not the category default. You pay per connected data source account — an ad account, a property, a business profile, a store account, or ten locations counted as one — and not per seat or per report. Users, reports and historical data are unlimited on every plan. The rate per account falls steeply with volume, from $15 at one account to $2.70 and below past a hundred, which makes the tool structurally cheaper for an agency with many small clients than for a single team with one big one.
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Porter Pros & Cons
✓ Pros
- •Pricing is per connected data source account rather than per seat, so the whole agency — account managers, analysts, the client themselves — can sit in the reports without changing the invoice
- •Unlimited users, unlimited reports and unlimited historical data on every plan, including the free one. The usual reporting-tool upsells (more seats, more dashboards, longer lookback) simply are not levers here
- •The per-account rate falls steeply with volume: $15 at one account, $8 in the 5–12 band, $5 from 21 accounts up, $4 at 50+, $3 at 70+, and $2.70 or below past 100 — which is the opposite shape to per-seat tools, where growth costs more per unit of work
- •Four destinations rather than a walled dashboard — Looker Studio, Google Sheets, Power BI and, more recently, BigQuery — so the reporting layer stays somewhere the client already opens
- •Automatic blending across sources is the actual product. Reconciling ad platforms that each name conversions differently is where agency reporting hours disappear, and it is done for you rather than templated for you
- •The AI layer — a query builder plus alerts and notifications — ships on all plans instead of being fenced into a premium tier, which is unusual enough in 2026 to be worth noting
- •A genuinely free forever plan (3 data source accounts, 30-day history) plus an unlimited 14-day trial, free implementation and a proof of concept before you commit
- •Templates mean a client report starts as a report rather than as a blank canvas, and custom fields plus scheduled refreshes cover the parts templates cannot
- •English, Spanish and Portuguese throughout, which matters if the agency's clients are not all anglophone
✗ Cons
- •"Data source account" is the unit you are buying and it is easy to under-count: every ad account, every property, every business profile and every store account is one. A single client running Meta, Google Ads, GA4 and a Shopify store is four, not one
- •The 10-locations-count-as-one rule is generous for multi-location brands and irrelevant to everyone else — do not let it flatter your estimate
- •At low account counts it is expensive per client: one account at $15/month is not obviously better value than a per-seat tool if you only report on one or two sources
- •Between 2 and 4 accounts the total is nearly flat ($30, $39.99, $40), so there is a dead band where adding sources is almost free — and, read the other way, where a small user pays for headroom they are not using
- •It is plumbing, not visualisation. You still need Looker Studio, Sheets, Power BI or BigQuery skills at the other end, and Porter does not make an ugly dashboard pretty
- •Twenty-plus connectors is a solid list but not an exhaustive one — check your specific ad, CRM or e-commerce source is on it before pricing anything, because a missing connector is a hard stop rather than a workaround
- •Annual billing saves about 17% (two months), which is a smaller discount than the category norm and locks in an account count that agency churn will move
- •Smaller vendor than Supermetrics, Funnel or Improvado — the usual independent-vendor questions about roadmap, support depth and enterprise procurement apply
Porter Pricing 2026
Billed per connected data source account with unlimited users, reports and historical data on every plan. Annual billing saves about 17% — two months free. Every account opens with an unlimited 14-day trial plus free implementation and a proof of concept.
Free
- •3 data source accounts
- •30-day data history
- •Unlimited users and reports
- •All four destinations
A single small client, or proving the connector works before you pay
1–12 accounts
- •1 account: $15/mo ($12.50 annual)
- •2 accounts: $30 total
- •3 accounts: $39.99 total
- •4 accounts: $40 total
- •5–12 accounts: $8 each ($40–$96)
Freelancers and small agencies with a handful of client sources
13–49 accounts
- •13–20 accounts: down to $5 each, flat $100
- •21–39 accounts: $5 each ($105–$195)
- •40–49 accounts: $4.50 each
- •Annual pricing roughly 17% lower throughout
Mid-sized agencies where per-seat tools start to hurt
50+ accounts
- •50–69 accounts: $4 each ($3.33 annual)
- •70–99 accounts: $3 each ($2.50 annual)
- •100+ accounts: $2.70 and below
- •Still unlimited users, reports and history
Agencies running many small clients at once
Per-Account vs Per-Seat vs Enterprise Reporting
| Feature | Porter | Per-seat connectors | Enterprise pipelines |
|---|---|---|---|
| Billing unit | ✅ Per data source account | ⚠️ Per user seat | ⚠️ Per data volume / contract |
| Extra users cost | ✅ $0 — unlimited | ❌ Each seat billed | ⚠️ Contract-dependent |
| Extra reports cost | ✅ $0 — unlimited | ⚠️ Often capped by tier | ✅ Usually unlimited |
| Historical data | ✅ Unlimited on paid plans | ⚠️ Tiered lookback | ✅ Warehouse-backed |
| Destinations | ✅ Looker Studio, Sheets, Power BI, BigQuery | ⚠️ Varies by vendor | ✅ Warehouse-first |
| Cost shape as you grow | ✅ Rate falls to $2.70 | ❌ Rises with headcount | ❌ Rises with volume |
| Free tier | ✅ 3 accounts forever | ⚠️ Trial only | ❌ Sales-led |
| Best fit | Agencies with many small client accounts | Small in-house teams, few sources | Large brands with a data team |
Competitor packaging in this category changes frequently — confirm current pricing with each vendor against your own source count before comparing totals.
Count Sources, Not Clients
The entire buying decision is one count, and it is not the count most people run first. Do not count clients. Count connected data source accounts across your whole book: every ad account, every analytics property, every business profile, every store account. A single client on Meta Ads, Google Ads, GA4 and Shopify is four units. Fifteen clients of that shape is sixty units — which lands in the $4-per-account band at roughly $240 a month, with unlimited people looking at the output.
Read the low end honestly too. One account is $15/month, two are $30, three are $39.99 and four are $40 — so between two and four sources the total barely moves, and a small user is effectively paying for headroom. If you genuinely pull from one or two platforms and two people read the report, the per-account model has no structural advantage over a per-seat tool, and the free plan's 3 accounts with 30-day history may cover you outright.
The one thing to verify before any of that arithmetic matters: confirm your specific sources are among the 20+ connectors. A missing connector in this category is not a workaround, it is a hard stop — you end up exporting by hand for that one client, which is the exact cost the tool was bought to remove. Use the free plan to check the fields come back, not just that the connection authorises.
Frequently Asked Questions
How does Porter Metrics pricing work?
You pay per connected data source account, not per user and not per report. A data source account means one ad account, one analytics property, one business profile or one store account — with the exception that ten locations are counted as a single account. Users, reports and historical data are unlimited on every plan. Published monthly rates run $15 for one account, $30 for two, $39.99 for three, $40 for four, $8 each from 5–12 accounts, down to $5 each from 21, $4.50 at 40–49, $4 at 50–69, $3 at 70–99 and $2.70 or lower past 100. Annual billing saves roughly 17%, or two months. There is a free-forever plan covering 3 accounts with 30-day history.
What counts as a 'data source account'?
This is the single number that decides your bill, and it is the one most people get wrong on the first estimate. Each ad account, analytics property, business profile and store account is one unit. A single client running Meta Ads, Google Ads, GA4 and Shopify is therefore four accounts, not one client. Multi-location businesses get relief — ten locations count as one account — but that rule only helps if you actually report on chains. Before comparing Porter to anything else, count sources across your whole book of clients rather than counting clients.
Is Porter a Looker Studio connector or a reporting tool?
Both, but the honest framing is that it is plumbing rather than visualisation. Porter pulls from 20+ advertising, social and analytics sources, blends them automatically across schemas that name the same metric three different ways, and delivers the result into Looker Studio, Google Sheets, Power BI or BigQuery. Templates give you a client report as a starting point. What it does not do is make you good at dashboard design — the presentation layer is still whichever destination you chose, and its learning curve is still yours.
At what point does per-account pricing beat per-seat reporting tools?
It flips in Porter's favour as soon as the number of people who need to see reports grows faster than the number of sources you pull from — which is the normal shape of an agency. Ten client accounts on Porter is $80/month regardless of whether three people or thirty look at the output. A per-seat tool prices the opposite way. The break-even is worth calculating explicitly: multiply your source count by the band rate, then compare against seats × per-seat price. Below about four sources with one or two users, the advantage largely disappears.
Is there a free plan or trial?
Both. The free-forever plan allows 3 data source accounts with 30 days of data history and keeps unlimited users and reports. Separately, every account starts with an unlimited 14-day free trial, and the vendor includes free implementation plus a proof of concept. The practical sequence is to use the free plan to confirm your specific connectors return the fields your client report needs, then use the trial to run one real month-end at full account count before you commit to a rate band.
What are the best Porter alternatives?
Supermetrics is the incumbent for Looker Studio and Sheets and the direct comparison most buyers make; it prices very differently, so run both against your own source count. Funnel and Improvado sit further up-market with warehouse-first architectures and sales-led pricing, and make more sense when a data team already owns the stack. If your need is really one dashboard rather than blended multi-source reporting, the native Looker Studio connectors plus a Sheets export may be enough — see our Google Looker Studio review before you buy any connector layer at all.
Compare the Rest of the Reporting Stack
Porter feeds a destination — these are the tools that sit either side of it.
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