services / custom data projects
Custom data projects. Any tool, any source, any question.
When off-the-shelf connectors and dashboards are not enough, we build exactly what you need: integrations between any tools, attribution across all your sources, and long-term metrics like LTV and retention.
✦ Ready for the AI era. Joined-up, long-term data is what lets AI answer the questions that matter, like which campaign brings the best customers, and not just the easy ones.
trusted by data teams at
camino/financial
✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.
what we build
Built around your stack, not ours
Every project is different. These are the kinds of problems we solve most often.
Custom integrations between any tools
HubSpot to BigQuery is a common one, but if a tool has an API, a database, a file export or a webhook, we can connect it.
- CRMs, billing, ads, product databases and warehouses
- Incremental syncs, backfills and schema changes handled
- Monitoring and alerts, so breaks do not go unnoticed
- Runs in your cloud or on our platform
Custom attribution models
Combine data from any source into attribution that fits your business, not a platform default.
- Ads, web, CRM, billing and offline data joined in one place
- Rule-based and statistical models, documented and transparent
- Identity stitching across devices and tools
- Reporting and dashboards on top
A/B testing and ads data solutions
Advanced setups that connect experiments and campaigns to what happens after the click.
- Experiment exposure joined with revenue, retention and churn
- Ad spend and platform data combined with your own outcomes
- Long-term results fed back to ad platforms as conversions
- Test and campaign readouts you can trust
Long-term metrics: LTV, retention, churn
The numbers that need data from many places and many months.
- Lifetime value and cohort retention
- Cancellations, renewals and downgrades
- Signup to lead to sale to retention, end to end
- Used to judge ads and A/B tests on lasting results
Legacy stack integrations and work
Old systems, odd formats and no API are part of the job.
- On-premise databases, SFTP and flat-file exports
- Custom and legacy applications
- Step-by-step modernisation, no big-bang rewrite
- Documentation your team can keep using
example use case
Measure what matters, months later
Ad platforms and testing tools report what happens in the first few days. The value of a customer shows up over months, in a CRM, a billing system or the product itself. We connect it all, so ads and experiments can be judged on lifetime value, retention and cancellations.
any source
01 · connect
Custom pipelines
integrations built for your stack
02 · model
Joined-up model
one customer and campaign history in your warehouse
answers you can act on
Judge ads and tests on lasting results
| campaign | cost / signup | 12-month retention | LTV : CAC |
|---|---|---|---|
| Campaign A | €12 | 22% | 1.8 |
| Campaign B | €19 | 61% | 4.6 |
| Campaign C | €15 | 38% | 2.7 |
The cheapest signups (A) are not the best customers. Only joined-up data across ads, CRM, billing and product shows it.
// illustrative
Measure ads on what customers are worth
Optimise on lifetime value and retention instead of cost per signup. Feed long-term outcomes back to your ad platforms.
Judge A/B tests on lasting results
A variant that lifts signups but increases cancellations is not a win. Measure success on retention and revenue months later.
See signup to lead to sale to retention
Follow each customer across your website, CRM, billing and product, and see exactly where value is won or lost.
Understand cancellations by source
Link cancellations, downgrades and renewals back to the campaign, channel and experience that brought each customer in.
integrations
If it holds data, we can connect it
HubSpot to BigQuery is just one example. We support literally any source and destination, from modern SaaS tools to systems that are decades old.
// looking for ready-made connectors? see our pipeline integrations
how we work
From first call to running system
01 /
Discover
We learn your questions, your tools and where the data lives, including the awkward parts.
02 /
Plan
A clear design and plan: which sources, which models and which decisions the data should support.
03 /
Build
Engineers build the integrations and models, reviewed with your team and tested against your numbers.
04 /
Run
Hand over with documentation, or keep us on to monitor, extend and improve.
faq
Frequently asked questions
What is a custom data project?
A project built around your specific tools and questions, where an off-the-shelf connector or dashboard is not enough: custom integrations, attribution, long-term metrics, advanced A/B testing and ads data, or work with legacy systems.
Which tools can you integrate?
Any tool that has an API, a database, a file export or a webhook, and many that have none of these. HubSpot to BigQuery is a common request, but we also connect CRMs, billing systems, ad platforms, product databases, experimentation tools and legacy applications.
Can you build custom attribution models?
Yes. We combine data from any source (ads, web analytics, CRM, billing and offline data) into attribution models with transparent logic that fits how your business actually sells, and connect them to reporting.
How do you measure ad performance on long-term outcomes?
We join ad platform data with CRM, billing and product data in your warehouse, so each campaign is judged on lifetime value, retention and cancellations and not only on signups. Long-term results can also be fed back to ad platforms.
Can you help with A/B testing data?
Yes. We connect experiment exposure data to revenue, retention and churn, so a test is judged on lasting results. We also run audits and programs for tools such as GrowthBook, Statsig, Eppo and Optimizely.
Do you work with legacy systems?
Yes. On-premise databases, SFTP, flat files, custom applications and systems without an API are all part of the work. We modernise step by step, without a big-bang rewrite.
Where does it run, and who owns the code?
In your cloud and your warehouse, or on the Reflective Data platform. We can deliver the code to your own repository, so you are not locked in.
How much does it cost?
Pricing depends on scope. Schedule a consultation and we will give you a clear estimate.
related
Related services
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Data pipelines, warehouses and the cloud computing underneath them.
PipelinesWarehouseGCPAWSAzure
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Data build & semantic layers
Trusted models and one definition of every metric, in dbt and MetricFlow, LookML, SQLMesh or Omni.
dbtMetricFlowLookMLSQLMeshOmni
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A/B testing & experimentation
From audits of advanced programs to feature flags and warehouse-native experimentation.
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BI & reporting
Any BI platform, including Looker. Dashboards people actually open.
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"I've worked with hundreds of vendors, and Reflective Data stands apart. Their dedication to customer success is unmatched. They stayed with our team through every legacy-platform surprise until we could fully trust the data landing in our warehouses. Hands down one of the best teams I've worked with in 15 years."
— Marc, Senior Marketing Manager, Invesco
Tell us what you need. We'll scope it.
Pricing is tailored to your sources, volume and the parts of the platform you use. Request a demo or book a call with the team.