Save offers landed off?base as churn signals from Mixpanel, Google Analytics 4, and billing arrived out of sync. We consolidated features in BigQuery, validated with Great Expectations, and triggered Braze journeys from model outputs. Offers matched behavior, status was clear, and support noise eased.
Retail media targeting faltered as retailer taxonomies and identifiers didnt match the brands, causing drift and troubleshooting. We built a Snowflake mapping layer with validations, synced retailer?aligned attributes via mParticle, and added Tableau visibility. Targeting aligned and setup steadied, reducing cleanup.
Weekly ad emails went out with broken images and mismatched offers as late product swaps and unvalidated feeds slipped through, and image links werent checked. We added a validated product feed and image health monitor, wired fallbacks into templates, and gated sends. Launches stabilized and fixes shrank.
Restock texts fired on every Shopify change, ignoring subscriber interest in category, size, or style, creating noise. We synced Shopify events to Attentive, computed affinities in BigQuery, and enforced variant filters and cooldowns. Short Message Service (SMS) felt relevant, opt?outs eased, and planning steadied.
Petition signers got donation asks before confirmations as web events arrived out of order and canvases conflicted. We normalized website events in Segment, gated steps in Braze Canvas with completion signals, and added a journey lock. Messages matched intent, complaints eased, and planning became event?driven.
Referral rewards issued duplicate codes as fraudsters spun multi?accounts and campaigns fired per account without linked identities. We added identity resolution in a Customer Data Platform (CDP), velocity and deduplication checks, and a rules layer to suppress risky grants. Support tickets dropped and promotions ran clean.
Paid search wasted spend and broke attribution as negative keywords and tracking tags drifted between Google Ads and Microsoft Advertising. We added a Google Tag Manager validator tied to a Snowflake taxonomy, enforced tracking templates, and synced shared negatives so reporting aligned and optimizations stuck.
Backlog prioritization was guesswork as Procore, customer pipeline, and finance actuals didnt tie out, spawning competing spreadsheets. We unified them in Snowflake, encoded profitability and risk scores, and added a weekly approval workflow. Reviews focused on choices, with fewer conflicts and less rework.
Manual reads of filings and auction terms caused inconsistent interpretations and late edits. We implemented a retrieval?augmented generation (RAG) layer across Federal Communications Commission (FCC) filings and engineering outputs, with Legal and Engineering approvals. Briefs came cited and consistent, reducing misreads.
Workforce strategy stalled as Workday roles, LinkedIn Learning records, and unit skill lists didnt align, forcing manual searches. We set a governed skills ontology in Collibra, mapped roles and learning into Snowflake with data build tool (dbt), and added permissions?aware search. Talent moves became clearer and more consistent.
Intelligex helps organizations achieve measurable digital transformation without disrupting how their teams work. We design and build secure, outcome-driven systems, often behind the scenes, that improve speed, scalability, and cost by at least 5× within weeks, not years.
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