# PeerClick vs Fospha (2026) · OfferROAS

> Source: https://offerroas.com/compare/peerclick-vs-fospha

Head-to-head

## PeerClick vs Fospha

On paper these are both attribution tools. In practice PeerClick and Fospha answer different questions, and the reason it is hard to choose is that you probably do not need both on the table. PeerClick is a cloud click tracker that reads which click, offer and lander converted, and auto-optimizes the traffic it routes. Fospha is a measurement platform that models which channel earned the credit for your whole store's revenue. One follows the click. The other follows the money.

By [Marcus Flynn](/authors/marcus-flynn), tracking and attribution editor. Updated 28 September 2026.

**Disclosure:**We may earn a commission when you buy through links on this page. It never affects our rankings. 

Pick PeerClick if you buy redirect-style affiliate or iGaming traffic and want a cloud click tracker that auto-optimizes offers and landers by the minute from $99 a month; pick Fospha if you are a retail brand spending six figures a month on your own store and want modeled, channel-level measurement of real revenue instead of pixels.

Quick answer

**PeerClick** is our top pick for most people. A capable cloud ad tracker for affiliates, media buyers and iGaming teams. Minute-by-minute AI traffic distribution, cookieless server-side tracking, native CAPI to Meta, Google and TikTok, and an anti-fraud kit on the higher plans. The gaps are outside proof and support that reads as a coin flip, plus a strict no-refund billing policy you should know before you attach a card. 

* **PeerClick.** Best for Affiliate and iGaming media buyers who want automation-heavy click tracking. From $99/mo.
* **Fospha.** Best for Retail and ecommerce brands spending six figures a month that want modeled measurement instead of pixels. From $1,500/mo.

### Side by side

__Feature comparison across 2 tools__
| Tool      | Core job          | Method      | Feeds ad platforms   | Built for           | From      |
| --------- | ----------------- | ----------- | -------------------- | ------------------- | --------- |
| PeerClick | Click tracking    | Click-level | Meta, Google, TikTok | Affiliate + iGaming | $99/mo    |
| Fospha    | Cross-channel MMM | Modeled     | None                 | Scaled retail       | $1,500/mo |

### PeerClick: pros and cons

##### What works

* Traffic Distribution AI re-weights offers, landers and paths every minute toward your chosen metric (ROI, earnings per visit, or conversion rate). That is real automation, not another dashboard.
* Cookieless server-to-server tracking with native CAPI to Facebook, Google Enhanced Conversions and TikTok, so attribution holds up under iOS restrictions and ad blockers.
* Built for redirect-style affiliate and iGaming flows: incoming and outgoing postbacks, FTD and RevShare tracking, offer routing, A/B testing and 100-plus integrations.
* Operators call the reports fast and campaign setup intuitive, and rate the tracker reliable for what it does.

##### What to watch

* Outside proof is thin. One Trustpilot review at 3.2, no G2 footprint, and most write-ups are affiliate-network blog posts rather than candid operator threads. That is a reason to run the trial hard, not proof it is bad.
* Support reads as a coin flip. One buyer praised a named rep as helpful and friendly; another called support terrible and said the tracker just stopped working. There is no consistent middle to plan around.
* Billing is strict. No refunds, a card required to access the panel, and cancellation is a request a technician processes within three business days, not a button you press.
* The anti-fraud kit is gated to the $399 Advanced plan and above. The $199 most-popular tier does not include it, and events over the plan cap bill as per-1,000 overage on top.

### Fospha: pros and cons

##### What works

* Non-pixel measurement that credits the upper-funnel channels last-click misses. Because it models from 100% of your real store revenue rather than platform-reported conversions, it surfaces contribution from prospecting social, YouTube, TikTok and display that GA4 and in-platform ROAS tend to undercount.
* Well reviewed by the brands that use it: 4.5 out of 5 from 51 G2 reviews, with recurring praise for ease of use, support and finally seeing channel value that click tracking hid.
* Measures marketplaces, not just your own site. On Pro and up it models the halo from paid media into Amazon and TikTok Shop sales, which pixel-based DTC dashboards structurally cannot see.
* Daily outputs with forecasting, not a quarterly report. The model retrains daily and Beam projects returns at different spend levels, so it works as a budget-allocation tool and not just a scorecard.
* Fast, transparent onboarding: most clients are live in under 28 days with 24 months of historical data, and Fospha runs a glass-box model you can interrogate layer by layer rather than a black box.

##### What to watch

* No free trial and no self-serve sign-up. You book a demo and commit to paid onboarding before you see it work on your own data, so the only way to validate it is to buy it. Ask for two or three references from brands like yours before you do.
* The floor is high: Lite is $1,500 a month and is built for brands already spending $100k to $500k a month on media. Below roughly $100k a month of spend it is overkill, and its own pricing tiers say so.
* Pro adds a percentage of your media spend on top of a $2,000 base, and Fospha does not publish that percentage, so the true all-in cost is opaque until you talk to sales.
* It reports modeled estimates, not deterministic user-level tracking, so its numbers will not match Meta, GA4 or Shopify. That is the point of a mix model, but it means your team needs a governance rule for which source to trust, and Fospha itself says the ad-level view is directional, not creative-level truth.
* Reporting flexibility is a common gripe: G2 reviewers mention limited report editing, filtering and segmentation friction, and manual data work to get some cuts of the data. It is a measurement layer, not a build-your-own BI tool.

### The real differences

#### What each one actually is

The hard part of this comparison is that PeerClick and Fospha are not really rivals. Both get filed under attribution, and both promise to tell you what your marketing is doing, but they answer different questions and they answer them for different people.

PeerClick answers: which click, offer, lander and source converted. It is a cloud click tracker aimed squarely at redirect-style affiliate and iGaming traffic. It sits in the click path, stamps every click, routes and rotates the visitor across offers and landing pages, and reads the conversion back through incoming and outgoing postbacks, with first-time-deposit and RevShare tracking as first-class features. Its native conversion API reaches Facebook, Google Enhanced Conversions and TikTok, and its headline edge is automation: a Traffic Distribution AI that reads the last day of data and shifts traffic weight toward the best offers, landers and paths every minute. The [PeerClick review](/reviews/peerclick) has the plans and the caveats.

Fospha answers a different question: which channel earned the credit for your store's whole revenue. It does not sit in the click path and it does not fire a pixel. It takes your real store revenue, your spend across every channel, and runs a daily marketing mix model that distributes credit for that revenue across the channels that drove it. It leans hard into the channels a click-based read routinely undercounts: prospecting social, YouTube, upper-funnel display, and marketplace sales on Amazon and TikTok Shop. The company calls the result a Measurement Operating System, which is marketing language for one model that values the whole media mix from the top down. See the [full Fospha review](/reviews/fospha).

#### Click-level tracking versus pixel-free modeling

This is the split under everything else. PeerClick is deterministic and click-level. It follows the real click through a path you route, so it can tell you not just that an offer deserves credit but which lander, which source and which sub-ID produced a specific conversion. That granularity is why an affiliate buyer pays for it: the read follows the click, and it lets the AI act on individual offer-and-lander combinations in near real time.

Fospha is modeled from the top down. A marketing mix model does not follow individual users. It explains total revenue as a function of spend across channels over time, and hands back a credit split. That is what lets it value prospecting social, YouTube and upper-funnel display that last-click and pixels routinely undercount, and it is immune to the signal loss from iOS restrictions and ad blockers that erodes any pixel. The vendor puts it plainly: it moved away from pixel-based tracking early, rebuilding measurement from the ground up to give every channel, including the ones that generate demand, the credit it deserves. The cost is granularity. Fospha's own view is directional at the ad level, not creative-level truth, so a buyer who needs to know which specific offer and lander converted a click gets a cleaner answer from PeerClick.

Neither approach is better in the abstract. Click-level tracking is right when you route the traffic yourself, buy against offers you do not own, and need to act on individual paths. Pure modeling is right when your core question is how to split the next budget dollar across many paid channels on a store you scale, and you have decided pixels can no longer answer it.

#### Why your numbers will not match Meta or Shopify

Both tools disagree with your ad platforms, and they disagree in opposite directions. PeerClick's cookieless, server-side tracking plus native CAPI catches conversions the browser pixel drops under iOS and ad blockers, so once your setup is clean its counts should sit close to your ad accounts, with the differences down to how it stamps and de-duplicates clicks. Fospha runs the other way: expect it to report fewer conversions than Meta or Google, sometimes far fewer, and to differ from Shopify too, because it applies one independent model across every channel and refuses to let two platforms both claim the same order. That gap is the over-attribution you are paying to see. Treat whichever you buy as a decision layer, reconciled against backend revenue, not a single source of truth, and keep your attribution windows consistent when you compare. Neither tool fixes a weak offer, a broken pixel or a low conversion rate. They make the numbers clearer, not the funnel better.

#### The feedback loop, marketplaces, and who does the work

Here the two stop mirroring each other. PeerClick feeds conversions back to Meta, Google and TikTok through their conversion APIs, so the platforms optimize on signal a browser pixel drops, and its AI then acts on that data by re-weighting traffic every minute. That is a tracker that runs the optimization while you sleep. Fospha does none of that. It is a measurement layer, not a conversion-API pipe, and it sends nothing back to the ad platforms at all. If closing that loop and automating traffic is central to how you buy, that gap leans you toward PeerClick.

Fospha's counterweight is reach across the funnel and off it. It runs post-purchase attribution, forecasting through its Beam tool, and marketplace measurement that models the halo from paid media into Amazon and TikTok Shop sales. A click tracker structurally cannot see that halo, because it only knows the clicks it routed. Onboarding is the other edge: most brands are live in under 28 days with 24 months of history loaded, and from there the model runs daily with nothing to maintain, managed for you rather than configured by you. PeerClick gives you click-level depth, the feedback loop and hands-off traffic distribution, but you carry more of the risk: its outside proof is thin, one Trustpilot review sitting at 3.2 with no G2 footprint, its support reads as a coin flip, and its billing is strict with no refunds. Run the trial hard and test the support channel before you attach a card. Fospha gives you more of the picture, marketplaces included, at a price and a commitment only a scaled brand can carry.

#### Who each one is for

Pick PeerClick if your traffic is redirect-style affiliate or iGaming, FTD and RevShare tracking are central, and you want a tracker that automates the optimization by the minute rather than leaving it to you. It is the fit when you route paid traffic to offers you do not own and need click-level truth on which offer and lander converted, fed back to the platforms so their algorithms learn. Weigh the caveats first: thin outside proof, coin-flip support and no-refund billing mean you should validate it on your own data before committing. If it is close, the [PeerClick alternatives](/alternatives/peerclick) rank the field, and [RedTrack vs PeerClick](/compare/redtrack-vs-peerclick) weighs it against the mainstream default in the same lane.

Fospha is the fit when you are a retail brand that has decided pixels can no longer settle your channel mix, and you want a model that credits demand-gen and marketplace revenue from your store's real numbers, managed for you. A brand spending $100,000 a month and up, running heavy upper-funnel and marketplace media, that wants channel-level truth without wiring or maintaining tracking, is exactly who it is built for. Its ceiling is granularity and the missing feedback loop: it does not read down to the specific click the way PeerClick does, and it does not send conversions back to the platforms. See the [full Fospha review](/reviews/fospha), how it reads against an owned-funnel tracker in [Hyros vs Fospha](/compare/hyros-vs-fospha), or the [alternatives to Fospha](/alternatives/fospha). One caveat covers both. Below roughly $50,000 to $100,000 a month of spend, clean UTMs, server-side events and blended metrics like MER and new-customer CAC do most of the job for far less. For the full field, see the [best ad tracking and attribution software](/best).

### What each one costs

**PeerClick** is self-serve and priced on events, where every visit, click and conversion counts as one event. Starter is $99 a month for one million events with basic automation and no API. Basic+ at $199 is the plan the vendor pushes as most popular, adding the Traffic Distribution AI and API access, though it does not include the anti-fraud kit. That arrives on Advanced at $399, and Exclusive at $849 adds 30 million events and VIP servers. Enterprise is quoted and is the only tier with on-premise deployment. Events over your cap bill as per-1,000 overage, annual billing takes 20% off, and there are no refunds. A solo affiliate can start on the entry plan, but the automation that is the reason to choose PeerClick lives from the $199 tier up.

**Fospha** sits in a different price universe. There is no self-serve tier and no trial. Lite starts at $1,500 a month and is aimed at brands spending roughly $100,000 to $500,000 a month on media; Pro adds an undisclosed percentage of ad spend on top of a $2,000-a-month base, and adds ad-level granularity plus Amazon and TikTok Shop; Enterprise is quoted. You book a demo and commit to paid onboarding of about 28 days before you see it run on your own data.

So these prices are not really comparable, and that is the point. PeerClick is a plan a media buyer starts on a card this afternoon. Fospha is a managed platform a scaled retail brand buys after a sales call. If PeerClick looks cheap next to Fospha, that gap is the clearest sign the two are built for different operators. Price the full stack you would actually run, and below serious spend, fix the free tracking basics first.

Prices read from each vendor's own pricing page, current as of 27 September 2026.

Our pick

### PeerClick

A capable cloud ad tracker for affiliates, media buyers and iGaming teams. Minute-by-minute AI traffic distribution, cookieless server-side tracking, native CAPI to Meta, Google and TikTok, and an anti-fraud kit on the higher plans. The gaps are outside proof and support that reads as a coin flip, plus a strict no-refund billing policy you should know before you attach a card.

### Frequently asked questions

PeerClick or Fospha: which should I pick? 

Pick PeerClick if you buy redirect-style affiliate or iGaming traffic and want a cloud click tracker that auto-optimizes offers and landers by the minute and posts conversions back to Meta, Google and TikTok, from $99 a month. Pick Fospha if you are a retail brand spending six figures a month on your own store and want modeled, channel-level measurement of real revenue instead of pixels. They get filed together as attribution tools, but they answer different questions for different operators, so the pick is really about which problem you have.

Are PeerClick and Fospha actually competitors? 

Not really. PeerClick is a cloud click tracker that reports which offer, lander and source converted for traffic you route. Fospha is a modeled measurement platform that credits channels from your own store's total revenue. Most buyers do not choose between them, because an affiliate or iGaming media buyer has nothing for Fospha to model, and a scaled retail brand allocating budget across channels is not served by click-level tracking of offers it does not own.

Is PeerClick or Fospha cheaper? 

PeerClick, by a wide margin, but they are not sized for the same buyer. PeerClick is self-serve from $99 a month on events, with the AI automation from the $199 tier and the anti-fraud kit from $399\. Fospha starts at $1,500 a month for Lite and is built for brands already spending $100,000 to $500,000 a month on media, with Pro adding an undisclosed percentage of spend on top of a $2,000 base and no trial to test it first. If PeerClick looks cheap next to Fospha, that is the clearest sign they are aimed at different operators.

Does Fospha track clicks the way PeerClick does? 

No. Fospha does not sit in the click path and does not fire a pixel. It runs a daily marketing mix model that distributes credit for your real store revenue across channels, so its numbers are modeled estimates, not click-level facts, and they will not reconcile to the cent with Meta, GA4 or Shopify. PeerClick is the opposite: deterministic, click-level tracking that ties each conversion to the offer, lander and source, and rotates the traffic itself.

Which one sends conversions back to Meta and Google? 

PeerClick. Its native conversion API posts conversions server-side to Facebook, Google Enhanced Conversions and TikTok, and its Traffic Distribution AI then acts on that data by re-weighting traffic by the minute. Fospha is a measurement layer, not a conversion API pipe, so it sends nothing back to the ad platforms. If that feedback loop is central to how you buy, PeerClick does the job and Fospha does not.

### Sources

#### Other sources

5 discussions and reviews read for this page. Quotes are excerpts; open a link to read the original in context. 

1. \[fospha-home\] [Fospha | The Measurement Operating System for Retail Commerce ](https://www.fospha.com/) Blog, 27 Sep 2026
2. \[fospha-price\] [Fospha pricing ](https://www.fospha.com/pricing) Blog, 27 Sep 2026
3. \[pc-fast\] [PeerClick ratings - affLIFT ](https://afflift.com/f/link-directory/peerclick.17/ratings/) Blog, 27 Sep 2026
4. \[pc-support\] [PeerClick ratings - affLIFT ](https://afflift.com/f/link-directory/peerclick.17/ratings/) Blog, 27 Sep 2026
5. \[pc-hard\] [PeerClick reviews - Trustpilot ](https://www.trustpilot.com/review/peerclick.com) Trustpilot, 27 Sep 2026

### How we compared these

We do not run paid campaigns through either tool. We read each vendor's own documentation and pricing, verify every number against the source, and weigh the long-term reports of operators who run them at real spend. The full rubric is on the [methodology page](/methodology).

### Related reading

* [PeerClick review](/reviews/peerclick)
* [Fospha review](/reviews/fospha)
* [RedTrack vs PeerClick](/compare/redtrack-vs-peerclick)
* [Hyros vs Fospha](/compare/hyros-vs-fospha)
* [PeerClick alternatives](/alternatives/peerclick)
* [Fospha alternatives](/alternatives/fospha)
* [Best ad tracking and attribution software](/best)
* [All head-to-head comparisons](/compare)

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