We may earn a commission if you buy through links on this page. It never changes a score or a ranking. How we make money
Supermetrics starts at $39, but its Starter limits and paid add-ons can make the final bill climb. The alternatives here are not all direct replacements: Funnel is the closest fit for consolidating marketing data, while others focus on agency reports, attribution or funnel analysis. Reddit users also raise connector reliability and cost concerns. Before switching, check that a candidate covers your sources, destinations and required capacity; the published information does not establish feature-for-feature parity or migration support.
01Why people leave Supermetrics
The bill grows beyond the entry price
Supermetrics starts at $39, but its Starter limits and paid add-ons can raise the cost as reporting needs expand.
Connector reliability is a concern
One Reddit commenter says Supermetrics connectors broke frequently. That is an individual report, not a verified reliability comparison.
Some teams would rather build
Reddit commenters describe building API connections or sending data to BigQuery as alternatives to paying for a connector service.
02The alternatives, ranked by fit
- Marketing data consolidation
FunnelFunnelFunnel is the closest fit here if your main reason for leaving is the work of consolidating marketing data. Its listed strengths include exporting data to warehouses and measurement workflows, alongside broad data coverage. The pricing page lists a starting price of $300, so compare that with your current total and check extra capacity costs before treating it as a cheaper switch.
Trade-off: Starts at $300, and extra capacity can add cost.
7.4/10from
$300/mo - Agency client reporting
AgencyAnalyticsAgencyAnalyticsAgencyAnalytics is worth comparing if you mainly use Supermetrics to assemble client reports. It is positioned for branded agency reporting, many marketing integrations and client keyword-rank tracking, with a listed starting price of $20. That makes it a different reporting-focused option, not proof of one-to-one connector coverage; confirm your required sources and any add-on charges first.
Trade-off: Check integration and add-on costs before switching.
7.0/10from
$20/mo - Revenue attribution
CometlyCometlyCometly may fit B2B SaaS teams that want to connect marketing activity with revenue or track account buying journeys. Its listed use cases also include syncing data across platforms. That is a narrower reason to switch than replacing a general reporting connector, and the pricing page gives no starting price. Treat the reported delays as a point to investigate, not a settled finding.
Trade-off: Pricing is not published; reported delays warrant checking.
5.6/10from
Custom - Measured customer journeys
FunnelyticsFunnelyticsFunnelytics is a candidate if the reporting problem is really understanding and measuring customer journeys. Its listed use cases include journey mapping, Shopify repeat-revenue tracking and funnel forecasting. The listing shows a free plan and a starting price of $39. It is less compelling if you only need diagrams: the published assessment says diagrams alone are hard to justify at that price.
Trade-off: A poor fit if you only need diagrams.
6.5/10from
$39/mofree plan - Ads linked to transactions
FullThrottle.aiFullThrottle.aiFullThrottle.ai is aimed at brands linking ads to transactions, activating across channels and targeting household audiences. Consider it only if those jobs match the reason you are leaving Supermetrics; the published information does not establish it as a general marketing-data connector. Its price is not published, and the available evidence is limited, so ask for specifics before budgeting a migration.
Trade-off: Opaque pricing and limited public evidence.
5.4/10from
Custom - Server-side tracking
StapeStapeStape is an adjacent option, not a like-for-like reporting connector. It may suit teams looking for managed server-side Google Tag Manager and tracking tools, with published request caps to check against your setup. The listing shows a free plan and a starting price of $17. Consider it if tracking infrastructure is part of your switch, not as a presumed replacement for every Supermetrics workflow.
Trade-off: Request caps apply; it is not a direct connector substitute.
7.0/10from
$17/mofree plan
03Side by side
| Tool | Score | From | Free plan | Best for |
|---|---|---|---|---|
 Supermetrics Supermetrics (current) | 5.9 | €39/mo | No | Teams reporting across several marketing platforms |
| Funnel Funnel | 7.4 | $300/mo | No | Teams consolidating marketing data |
| AgencyAnalytics AgencyAnalytics | 7.0 | $20/mo | No | Agencies building branded client reports |
| Cometly Cometly | 5.6 | Custom | No | B2B SaaS revenue attribution |
| Funnelytics Funnelytics | 6.5 | $39/mo | Yes | Marketers mapping measured customer journeys |
| FullThrottle.ai FullThrottle.ai | 5.4 | Custom | No | Brands linking ads to transactions |
| Stape Stape | 7.0 | $17/mo | Yes | Teams wanting managed server-side GTM |
Questions people ask
Which Supermetrics alternative is cheapest?
Among these picks, Stape lists a free plan and a $17 starting price, while AgencyAnalytics starts at $20. Funnelytics also lists a free plan and starts at $39. Those prices do not establish equivalent features, connector coverage or capacity, so compare the plan details before choosing by entry price.
Can I migrate Supermetrics queries directly?
The published information does not document query-import or migration tools for the alternatives listed here. Ask each vendor whether it can move your existing queries, destinations and schedules, and confirm what will need rebuilding. A low starting price is not enough if migration work adds cost or delays.
Can I replace Supermetrics by building my own connectors?
Some Reddit commenters suggest building API connections or sending data to BigQuery; one describes using n8n API calls. Another says Meta and Google have built-in data transfers, while other platforms can be trickier. Those are user suggestions, not a guarantee that a DIY setup will cover your sources or reduce total costs.