No Connector for Your Data Source? Send It as a Webhook Instead
Connector catalogues cover the popular platforms and stop. For the in-house tool, regional ad network, or offline system nobody built an integration for, an inbound webhook is the practical answer - and it has one advantage a connector does not.
No Connector for Your Data Source? Send It as a Webhook Instead
Every marketing data tool advertises a connector catalogue, and every catalogue has the same shape: deep coverage of the twenty platforms most customers use, then nothing. If your revenue lives in a regional ad network, an in-house booking system, a partner's reporting feed, or a spreadsheet a sales ops person maintains by hand, no vendor is going to build you a connector for it. The practical alternative is to stop waiting for one and push the data in yourself, as an inbound webhook.
Key takeaways
- A connector is a scheduled pull the vendor maintains against a known API; a webhook is a push you control, which is why it works for sources no vendor supports.
- The trade is maintenance ownership - nobody fixes your webhook when the sending system changes its payload, and nothing warns you that it stopped sending.
- Field mapping is the real work, not the transport: the receiving system needs to know which of your fields is the revenue, which is the timestamp, and which identifies the customer.
- Keeping the original payload matters more than getting the mapping right the first time - if the raw data is retained, a wrong mapping is re-runnable rather than permanent data loss.
- Webhooks are the right answer for sources with no integration, and the wrong answer for sources that have a supported connector - a hand-built push has failure modes a maintained connector does not.
Teams that treat "there's no connector" as the end of the conversation end up with a reporting layer that describes only the platforms that happened to be popular enough for a vendor to support, and a permanent manual spreadsheet for everything else.
Inbound webhook: an HTTP endpoint that accepts data pushed to it by another system, rather than pulling data on a schedule the way a connector does.
Field mapping: the configuration that tells the receiving system which fields in an incoming payload correspond to which standard concepts - revenue, event time, customer identifier, campaign.
Why the transport is the easy part
The operational pain this creates for teams that focus on getting the connection working: sending a POST request is a solved problem that any developer or automation tool can do in an afternoon. What consumes the actual time is the semantic question - your system calls a field order_total, another calls it value, a third sends amount_cents as an integer - and none of that is visible while you are testing whether the endpoint responds.
The practical sequence that avoids rework: agree on what each incoming field means before wiring the sender, send a handful of real payloads rather than synthetic test data, and confirm the mapped output matches what the source system itself reports for the same period. A webhook that delivers successfully while mapping revenue to the wrong field is worse than one that fails outright, because the failure is silent and the numbers look plausible.
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Why retaining the raw payload is the thing that saves you
The ICP problem this creates for anyone setting up a mapping under time pressure: you will get part of the mapping wrong, and you will discover it weeks later when a number does not reconcile. Whether that is a twenty-minute fix or a permanent hole in your history depends entirely on one decision made at setup.
If the receiving system stores only the mapped result, correcting a mapping fixes data going forward and leaves the misinterpreted history as-is - the original values are gone, so there is nothing to re-derive from. If it retains the original payload alongside the mapped output, the same correction can be replayed across everything already received. This is the single most consequential property to check before committing to a webhook setup, and it is rarely advertised, because it only matters after something has gone wrong. The same forward-only-versus-retroactive distinction decides how much a channel definition fix is worth - a correction that applies to history is a different class of tool than one that only applies to new data.
Where a webhook is the wrong choice
The ICP problem this creates for teams that get a webhook working and start using it everywhere: a push you built yourself has no maintainer but you. When the sending system changes a field name in a release, your mapping silently produces nulls. When it stops sending at 3am, nothing tells you - an absence of data is indistinguishable from a quiet day.
So the rule is narrower than "webhooks are flexible": use a maintained connector whenever the source has one, because vendor-maintained pull integrations come with schema handling, retries, and backfill you would otherwise be building. Reserve the webhook for what it is uniquely good at - the source nobody will ever build a connector for. And for any webhook you do run, add the one monitoring check that its failure mode requires: alert on silence, not on errors, because the common failure is nothing arriving rather than something arriving broken.
Prooflytics treats an inbound JSON webhook as a first-class source kind alongside its native and catalogue integrations, with per-entity field mapping you configure yourself, and it keeps the original payload after mapping so a mapping you later correct can be reprocessed against data already received rather than only applying to new events.
Bottom line
- Use a maintained connector wherever the source has one; reserve webhooks for sources no vendor will ever support.
- The transport is trivial - the field mapping is the work, and a silently mis-mapped field is worse than a failed delivery.
- Before sending real data, confirm the receiving system retains the original payload, or a mapping correction will only apply going forward.
- Monitor webhooks for silence rather than for errors; the normal failure is nothing arriving at all.
- Book a walkthrough to see how Prooflytics accepts inbound JSON as a first-class source with field mapping you control and the original payload retained for reprocessing.
Frequently asked questions
Do I need a developer to set up an inbound webhook?+
Usually someone technical on the sending side, yes - something has to construct and send the POST request. If the source system has built-in webhook support (many SaaS tools do), the sending side can be configuration rather than code, and then the remaining work is field mapping on the receiving side.
How do I know if my webhook silently stopped sending?+
You do not, unless you explicitly monitor for it. Set an alert on absence of events over a window that reflects the source's normal rhythm - a source that usually sends hourly should trigger an alert well before a full day of silence, because no one notices a channel that simply disappears from a report.
Can I change the field mapping after data is already flowing?+
You can always change it going forward. Whether it applies to data already received depends on whether the receiving system retained the original payload - if it only kept the mapped output, past data stays as it was interpreted at the time. Confirm this before you start sending real data.
Is a webhook less reliable than a connector?+
Differently reliable. A connector can be pulled on a schedule and backfilled if a run fails, because the source API still holds the data. A webhook fires once, so a delivery missed during an outage is generally gone unless the sender retries. That asymmetry is the strongest argument for using a connector wherever one exists.
You can read independent reviews of Prooflytics on G2 and compare it to other marketing intelligence platforms in the category.
Run marketing on one source of truth
Every source in one brief, so the team stops reconciling exports.
14 days free · no credit card
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