Bridge the gap between search marketing, data,
and AI strategy

Paid Search

Capture high-intent demand through data-driven paid search management and strategic account architecture.

• ✓Capture high-intent demand with Search, Shopping, and Performance Max campaigns structured around your products and goals.
• ✓Optimize toward profit—not just conversion volume—by feeding revenue and customer-value signals into campaign decisions.
• ✓Keep automated bidding aligned with your business through experienced review of search terms, placements, and performance.
• ✓Trace ad spend to business revenue with a measurement layer connecting Google Ads, GA4, and BigQuery.
• ✓Protect your budget by identifying irrelevant queries, low-intent traffic, and fraudulent placements for exclusion.
• ✓Give bidding systems stronger signals by consolidating fragmented campaigns into clear, data-rich account structures.
• ✓Prioritize your highest-value customers with value-based bidding informed by lead quality, LTV, or margin data.
• ✓Compare Google, Microsoft, and Apple search opportunities to invest where your customers and returns justify it.
• ✓See which campaigns contribute to leads, sales, and profit through POAS-focused measurement and reporting.
• ✓Turn historical search and conversion data into a prioritized roadmap for immediate improvements and sustainable growth.

SEO & AI Search

Technical and strategic SEO grounded in Search Console data and search intent.

• ✓Understand what your audience searches for by clustering real Search Console queries around topics, needs, and intent.
• ✓Focus your SEO investment with a technical audit that prioritizes fixes by business value, effort, and search impact.
• ✓Help search engines and AI systems understand your expertise through schema, semantic structure, and entity mapping.
• ✓Find content opportunities by comparing customer search demand with the topics you and your competitors already cover.
• ✓Improve crawlability and preserve authority by resolving broken links, redirect loops, and low-value index bloat.
• ✓Give visitors a stronger experience by prioritizing Core Web Vitals, mobile performance, and technical stability.
• ✓Build content around user intent with Search Console data instead of relying on keyword volume alone.
• ✓Measure which pages and topics create qualified visibility through content-performance and authority reporting.
• ✓Prepare your content for AI-assisted search with clear entities, structured data, and well-connected subject expertise.
• ✓Turn audit and query findings into a practical roadmap your team can use to improve visibility over time.

Research & Audits

Uncover competitor strategies and technical gaps with exhaustive search-ecosystem audits.

• ✓See where your strongest search opportunities are through a combined review of Search Console, Bing, and competitive data.
• ✓Understand how competitors earn visibility with Ahrefs-backed analysis of their content, links, and search coverage.
• ✓Find technical gaps affecting crawlability, indexing, and site structure before choosing what your team should address first.
• ✓Turn audit findings into prioritized recommendations organized around likely impact and practical next steps.
• ✓Compare your search performance with relevant benchmarks to understand where focused improvements can create value.
• ✓Discover topics your audience searches for but your current content does not yet answer effectively.
• ✓Give your team a documented view of findings, supporting evidence, and recommended actions—not a list of unexplained scores.
• ✓Choose where to compete or differentiate by comparing your strengths with visible gaps in the search landscape.
• ✓Define the audit around your goals first, so the research answers questions that matter to your business.
• ✓Move from platform data to an implementation plan through a findings summary and prioritized optimization roadmap.

Data & Analytics

GA4 implementation and auditing that turns fragmented data into actionable insights.

• ✓Measure the actions that matter to your business by mapping revenue milestones to GA4 events and conversions.
• ✓Connect marketing activity to lead quality and revenue by syncing conversion data with your CRM and advertising platforms.
• ✓Follow customer journeys across domains with tracking configured to preserve a unified view of engagement.
• ✓Improve data integrity and control by moving appropriate tracking through server-side Google Tag Manager.
• ✓Support privacy-aware measurement with Consent Mode and tagging configured around your compliance requirements.
• ✓Remove misleading traffic from reports with bot, referral, and internal-traffic filtering.
• ✓Find broken tags, duplicate pixels, and missing events through a measurement and tracking audit.
• ✓Assign values to conversions using lead quality or revenue data, so reporting reflects outcomes rather than form fills alone.
• ✓Bring Ads, GA4, GTM, and BigQuery data into a measurement foundation your reporting can rely on.
• ✓Turn audit findings into a measurement plan that tells your team what will be tracked, why it matters, and how it will be used.

Reports & Dashboards

Custom descriptive, prescriptive, and AI-enriched dashboards that provide deep insights and forecasting.

• ✓See the KPIs that guide your decisions in a custom dashboard built around stakeholder questions and business goals.
• ✓Replace recurring spreadsheet assembly with automated BigQuery and Data Studio reporting feeds.
• ✓Connect advertising, analytics, and CRM data in one view so teams can discuss performance from the same numbers.
• ✓Move beyond activity metrics by defining KPIs around revenue, lead quality, retention, or the outcomes you value.
• ✓Recognize unusual performance changes sooner with automated anomaly alerts tied to important metrics.
• ✓Plan with greater context by adding historical trends and forecast ranges to executive reporting.
• ✓Give each stakeholder the detail they need through dashboard filters, segments, and role-appropriate views.
• ✓Reduce reporting clutter by identifying unused dashboards, duplicate metrics, and broken filters.
• ✓Scale agency reporting with reusable data connections and consistent dashboards across multiple clients.
• ✓Help your team answer routine questions independently with documented, self-serve reporting tables.

Data Engineering

Building robust data warehouses and transformation layers in BigQuery.

• ✓Unify advertising, analytics, CRM, and operational data in BigQuery so teams can work from shared records.
• ✓Replace recurring CSV exports with authenticated API connections and automated ETL or ELT pipelines.
• ✓Make large datasets faster and less expensive to query with partitioned, clustered BigQuery tables.
• ✓Improve reporting accuracy by cleaning, deduplicating, and normalizing records before they reach analysis tables.
• ✓Create a consistent customer or lead view by resolving fragmented records into shared identifiers.
• ✓Compare global performance accurately by standardizing currencies, units, names, and channel definitions.
• ✓Know when data stops flowing with pipeline monitoring, error handling, and automated failure alerts.
• ✓Connect systems without native integrations through secure API workflows built around your business logic.
• ✓Give reporting and AI projects query-ready data through documented schemas and transformation layers.
• ✓Control warehouse cost and performance with an architecture designed around your actual data volume and query needs.