Every ad platform you run, in one model.

What we pull

• Sponsored Products campaign and keyword performance
• Item-level spend and attributed sales
• Display and onsite placements where available
• Multiple advertiser accounts for agencies

What we build

1. Scheduled Walmart pipelinesWalmart Connect reports pulled on a schedule, with retries and alerts when a report is late or changes shape.
2. One retail media viewWalmart mapped into the same schema as Amazon and other retail media networks, with each retailer's attribution rules kept and labeled.
3. Cross-retailer dashboardsSpend, ROAS and share of spend by retailer, brand and product, in Looker, Looker Studio, Power BI or Tableau.
4. AI insightsAlerts when Walmart ROAS drops, spend spikes or a keyword starts wasting budget.

What we pull

• Orders, line items, refunds and discounts
• Revenue in your store's currencies
• Customers and new versus returning buyers
• UTM and landing-page data where available

What we build

1. Shopify pipelinesOrders and customers pulled through the Shopify Admin API into your warehouse, kept up to date and backfilled.
2. Blended ROAS and MERStore revenue divided by all ad spend, next to each platform's own reported ROAS, so the gap is visible.
3. Marketplace + store viewShopify sitting next to Amazon and Walmart sales, so leadership sees the whole business in one place.
4. AI insightsPlain-English answers to questions like 'which channel drove new customers last week?' from your own data.

What we pull

• Campaign, ad group and keyword performance
• Search terms and Performance Max where available
• Conversions and conversion values
• Multiple accounts under a manager account

What we build

1. Google Ads pipelinesAPI pulls on a schedule with backfills, cost converted from micros, and alerts when something changes.
2. Cross-channel reportingGoogle next to Meta, TikTok, Amazon and Walmart in one model, with one ROAS rule you agree on.
3. Search waste alertsAI flags CPC spikes and search terms burning budget before anyone opens a dashboard.
4. Bid and budget agentsRule-based changes inside caps you approve, logged and reversible.

What we pull

• Campaign, ad set and ad performance
• Audience, placement and creative breakdowns
• Conversions with their attribution settings
• Multiple ad accounts and business portfolios

What we build

1. Meta pipelinesMarketing API pulls with breakdowns, backfills and alerts when a field or limit changes.
2. Honest attributionMeta's 7-day click and 1-day view numbers kept and labeled, next to Shopify sales and your attribution platform.
3. Creative and fatigue insightsAI flags rising frequency and falling CTR before ROAS drops.
4. Budget agentsShift budget toward what's working, inside limits you approve.

What we pull

• Campaign, ad group and ad performance
• Spend, impressions, clicks and conversions
• Video engagement metrics
• Multiple advertiser accounts

What we build

1. TikTok pipelinesAPI pulls on a schedule with backfills and alerts.
2. Like-for-like comparisonsTikTok mapped into the same model as Google and Meta, with its attribution window labeled.
3. Pause waste earlyRules that pause ad groups below a ROAS floor you set, logged and reversible.

What we pull

• Channel and campaign-level credited revenue
• Touchpoint or path data where your tool provides it
• Model settings and lookback windows

What we build

1. Attribution pipelinesYour attribution platform's data pulled on a schedule into your own warehouse.
2. One view, three lensesPlatform-reported ROAS, attribution-modeled ROAS and blended ROAS side by side, clearly labeled.
3. ReconciliationSee where the platforms, your attribution tool and your actual sales agree, and where they don't.

What we pull

• Campaign and product-level performance
• Spend and attributed sales by retailer
• Each network's attribution rules

What we build

1. New networks, same modelEach network mapped into one schema, so adding a retailer doesn't mean rebuilding reports.
2. Cross-retailer reportingSpend, ROAS and share of spend by retailer, brand and product.
3. AI insightsAlerts when a retailer's performance drops or spend shifts unexpectedly.