Fermat Commerce cuts ETL spend in half and unlocks faster marketing insight with SkyBright

    FERMÀT is a San Francisco-based, AI-native commerce platform founded in 2021 that helps brands embed personalized shopping experiences directly inside the marketing touchpoints where consumers first discover a product: emails, paid ads, influencer posts, editorial content, and agent-driven chats.

    Company: Fermat Commerce
    HQ / Region: San Francisco, CA, North America
    Industry: AI-native commerce & marketing tech
    Critical data sources: Facebook Ads, Google Analytics 4, Shopify, TikTok Ads
    Destination: Google BigQuery (marketing analytics warehouse)
    SkyBright services: Fully-managed pipelines, white-glove migration & monitoring

    Key results at a glance

    –50% data-pipeline costs
    Fermat's monthly spend dropped from five figures on Fivetran to half with SkyBright.
    Zero-downtime, one-click cut-over
    marketing dashboards stayed live while 100 GB+ of historical data was re-synced and verified.
    Rapid implementation
    bespoke connectors, dbt models and alerting were delivered ahead of schedule.
    White-glove partnership
    weekly working sessions, schema customisation and data QA freed Fermat's data team to focus on new product features.
    "The SkyBright crew felt like an extension of our engineering team. They translated every marketing requirement into rock-solid pipelines, cut our bill in half, and documented everything so we can run it ourselves if we ever bring ETL in-house."
    — Shreyas Kumar, Co-Founder & CTO, Fermat Commerce

    From spiralling Fivetran costs to a sustainable data foundation

    As a fast-scaling commerce platform, Fermat Commerce ingests click-stream and conversion data from dozens of campaigns every day. With aggressive employee growth and a 24/7 experimentation culture, its Fivetran bill had tripled in a year, eating into runway and forcing trade-offs between new features and data reliability.

    Fermat's data team set three goals:

    • Slash recurring ETL spend without losing reliability.
    • Customise schemas to map ad-level data directly to product-level metrics the growth team needed.
    • Avoid downtime during the switch, because live customer dashboards power Fermat's own AI-driven optimisation engine.

    SkyBright's white-glove migration, step by step

    PhaseWhat SkyBright delivered
    DiscoveryJoint workshop to catalogue tables across Facebook, GA4, Shopify & TikTok; cost benchmarking and cut-over plan.
    Build• Data model translation and schema parity validation across all sources.
    • Custom-typed GA4 connector development to capture unsampled funnel metrics.
    • Historical data transformation pipelines to preserve business continuity.
    • White-glove app onboarding process for Facebook, Google and other platforms with tailored authentication flows.
    • Custom connector development for specialized data requirements.
    ValidateDual-run mode: Fivetran & SkyBright ingested in parallel; automated row-level diff checks reached 99.98% parity.
    Cut-overOne-click feature flag cut-over with pricing protection throughout transition.

    Throughout the project, SkyBright and Fermat held weekly standups and remained available on-demand via Slack to both US and Indian engineering teams.

    A data stack aligned with growth

    With costs under control, Fermat now provisions three times as many experiments per sprint — feeding more purchase events into its AI conversion models and releasing funnel variants in hours, not days. Engineering hours once spent reconciling webhook spikes and API schema changes are redirected to new revenue features.

    What's next

    SkyBright constantly monitors Fermat's pipelines and helps onboard new customers when needed as Fermat continues to scale.

    Ready to reclaim your data budget?

    If high Fivetran bills or brittle DIY pipelines are holding back your marketing analytics, SkyBright can help. We'll migrate you in weeks, run your pipelines for you, and cut costs up to 50% — guaranteed.