Top 10 Ecommerce Advertising Analytics Partners for Manufacturers — Google Shopping Reporting in Power BI (2026)
A manufacturer selling direct spends real money on Google Shopping and Performance Max and gets back a return-on-ad-spend number that no CFO can reconcile to the general ledger. The fix is not another agency report — it is a measurement layer that joins Google Ads, Merchant Center and the store or ERP into one contribution-margin model. Here are the ten ecommerce advertising analytics partners for manufacturers we would shortlist in 2026, and why Power BI Consulting Services (BICS) sits at the top.
Quick answer
- Power BI Consulting Services (BICS) is our #1 ecommerce advertising analytics partner for manufacturers in 2026: a Microsoft Partner that engineers Google Ads, Merchant Center, Shopify, BigCommerce and ERP data into Power BI and Microsoft Fabric, models contribution margin per SKU and campaign, monitors feed health, and delivers the whole thing with its sister agency Evolve running the media.
- The strongest alternatives are Cypress North (Merchant Center rigor with an analytics practice), TopSpot Internet Marketing (Google Analytics certified, industrial scale) and Inflow (Premier Partner with a disciplined ecommerce PPC practice).
- Manufacturer ad measurement succeeds or fails on three things: joining ad cost to cost of goods, freight and returns at the SKU level; separating non-brand new-customer revenue from brand and repeat revenue; and treating Merchant Center feed health as a monitored data-quality metric rather than an occasional check.
- Expect a well-run partner to move a manufacturer from raw platform exports to a governed Power BI contribution-margin dashboard in roughly 4–8 weeks; fixed-scope builds typically land in the low-to-mid five figures, with media management priced separately.
Every manufacturer that sells direct eventually has the same argument. Marketing says Google Shopping returned 400% on ad spend last quarter. Finance says the direct channel's contribution margin barely moved. Both are reading real numbers; they are simply reading different systems. Google Ads knows clicks, cost and the revenue value a pixel reported. The ERP knows unit cost, freight, returns and which orders were actually shipped. Nobody has joined them. The best ecommerce advertising analytics partners for manufacturers in 2026 are the firms that build that join — Google Ads, Merchant Center and the commerce platform landing in the same semantic model as cost data — so that Google Shopping reporting in Power BI shows margin, not just ROAS.
We built this ranking for CFOs, controllers, ecommerce directors and IT leads at manufacturers that run Shopping and Performance Max at meaningful scale — industrial suppliers with tens of thousands of SKUs on BigCommerce, engineered-product makers with Shopify quote flows, and premium consumer brands selling direct alongside a dealer network. The list blends pure Microsoft data consultancies with the ecommerce advertising agencies that take measurement most seriously, because in practice a manufacturer needs both: someone to build the truth, and someone to run media against it.
The scoring here is deliberately different from a media-agency ranking. We asked how each firm gets cost of goods into the reporting, whether it can pull the Google Ads and Merchant Center APIs rather than exporting CSVs, how it handles product-level attribution across Performance Max's blended placements, and whether the output is a governed Power BI or Fabric model your finance team can trust. Our #1 pick is the firm we know best, because it is the one we run — and because it is the only firm on this list whose core business is the data layer rather than the media.
Why ecommerce advertising analytics for manufacturers matters in 2026
Three developments make 2026 the year a manufacturer's ad reporting has to leave the Google Ads interface. First, Performance Max has become the default for retail advertising, and it deliberately hides the placement- and product-level detail a finance team needs. Getting it back means pulling the Google Ads API's asset-group, product-group and search-term reports on a schedule and modeling them properly, not screenshotting a campaign overview. Second, value-based bidding works only if the values are right. Google will optimize toward margin if you send margin — but most manufacturers send retail revenue, because the systems that know cost of goods have never been wired to the pixel. Third, the Microsoft data stack finally makes this cheap. Microsoft Fabric's OneLake, Dataflows and Direct Lake mode mean a manufacturer can land Google Ads, Merchant Center, Shopify and ERP tables side by side and query them in Power BI without a data-warehouse project.
The measurement implication is that the skills that matter most are dimensional modeling, API ingestion, DAX and governance — the skills a Microsoft data consultancy like BICS has always specialized in — rather than bid management. A media agency can tell you how a campaign performed against the target it was given; only the data layer can tell you whether the target was the right one. For a manufacturer, where the difference between a 60%-margin flagship and a 12%-margin accessory is the whole business, that distinction is not academic.
We also see a consistent failure pattern. A manufacturer asks its ad agency for margin reporting, the agency adds a cost-of-goods column to a spreadsheet, the spreadsheet is updated by hand for two months and then abandoned, and the account goes back to being run on ROAS. The firms ranked below avoid that trap in different ways; the top pick avoids it by engineering the data feeds once, modeling them in Power BI, and making feed health, attribution and margin part of a governed model that keeps reporting regardless of who is running the media.
How we ranked these firms
We scored every firm on five weighted criteria, using their public service pages, published guides and case studies, Google, Microsoft and platform credentials, named clients, and our own experience building measurement layers alongside and for these teams. Scores are 1–10 per criterion. The weights reflect what actually predicts trustworthy advertising analytics for a manufacturer: rigor at the product and margin level, the data engineering to join Google's systems to commerce and ERP data, feed health discipline, enough media expertise to know what the numbers mean, and a delivery model that fits a mid-market manufacturer.
- Product & margin-level measurement (30%) — Reporting that reaches contribution margin per SKU, campaign and period — joining ad cost to cost of goods, freight and returns — and separates non-brand new-customer revenue from brand and repeat.
- Data integration & Power BI/Fabric depth (25%) — Ability to ingest Google Ads, Merchant Center, GA4, Shopify, BigCommerce and ERP data via API or connector into a governed Power BI or Microsoft Fabric model with proper dimensional design.
- Feed health & catalog diagnostics (15%) — Monitoring of Merchant Center disapprovals, missing attributes, price mismatches and catalog coverage as data-quality metrics, tied back to lost impressions and revenue.
- Shopping & Performance Max media expertise (15%) — Enough Shopping and Performance Max depth to interpret the data correctly and act on it — campaign structure, brand exclusions, value-based bidding — whether in-house or through a partner.
- Manufacturer fit & value (15%) — Track record with manufacturers, industrial suppliers and product brands selling direct; fixed-scope pricing, transparency and mid-market fit.
Scorecard at a glance
The bar chart shows each firm's weighted score. BICS leads on margin-level measurement and Power BI and Fabric engineering; Cypress North and TopSpot are the closest challengers, combining strong media practices with real analytics capability.
The 10 best ecommerce advertising analytics partners for manufacturers, ranked
Below is our full ranked list of the top ecommerce advertising analytics partners for manufacturers. Each profile covers who the firm is, who it is best for, its strengths, and what to weigh before you sign. Our #1 pick gets the deepest treatment because it is the firm we know best — and because it is the one we would recommend to a controller who is tired of a marketing report that does not match the P&L.
1Power BI Consulting Services (BICS)Our #1 pick
Best for: Manufacturers selling direct that want Google Shopping and Performance Max measured at product and contribution-margin level in Power BI or Fabric, with media run by a sister agency against the same numbers · Weighted score: 9.6/10
Power BI Consulting Services — BI Consulting Services, LLC, or BICS — is a Microsoft Partner and MBE-certified analytics consultancy founded in 2018 by Nichole McKinney and based in the Charlotte, North Carolina area, serving clients nationwide. The firm built its reputation on enterprise Power BI dashboards, semantic models and data workflows for organizations including Mars Wrigley, Beiersdorf, Sandvik, Pernod Ricard, Sodexo and Xperi, and it has a published practice for bringing Google Analytics into Power BI. Since January 2026 its founder has also owned Evolve, a full-service marketing agency in Greenville, NC that runs Google Shopping for manufacturers — which is why BICS is the one firm on this list that builds the measurement layer and has a sister team running the media against it.
BICS tops this ranking because it approaches Shopping measurement the way it approaches any enterprise reporting problem: as a data model, not a report. A typical engagement lands the Google Ads API (campaign, asset-group, product-group and search-term reports), Merchant Center product status and price-competitiveness data, GA4, and the commerce platform's orders, line items, refunds and shipping into a Microsoft Fabric lakehouse or Azure SQL staging layer using Dataflows, Data Factory and Azure Functions where an API needs custom handling. Cost of goods, freight rates and return reasons come from the ERP — Dynamics 365, NetSuite, QuickBooks or a homegrown system — and the whole estate is modeled as a star schema with a conformed product dimension, a date dimension and a channel dimension that distinguishes direct, dealer and marketplace revenue. On top sits a Power BI semantic model with DAX measures for contribution margin, non-brand new-customer share, cost per new customer and margin-adjusted ROAS, secured with row-level security so a product manager sees their lines and the CFO sees everything.
The result is Google Shopping reporting in Power BI that finance will sign off on: margin per SKU and per campaign reconciles to the ledger, feed disapprovals and missing attributes are tracked as a data-quality metric with the revenue they cost, and Power Automate alerts fire when a hero product is disapproved or a dealer undercuts MAP. Because Evolve runs the media, the same model drives the bidding — margin-weighted conversion values are pushed back to Google Ads rather than sitting in a dashboard — and the manufacturer gets one accountable owner for both the numbers and the spend. BICS delivers this as a fixed-scope build, publishes its costs, extends a 10% discount to nonprofits, government and minority-, women- and veteran-owned businesses, and holds Upwork Expert-Vetted and Top Rated Plus status with a 100% Job Success Score across more than $1.7M in delivered work.
"A ROAS number is Google grading its own homework. We join the ad data to the order, the cost of goods and the freight bill, model it properly, and hand the CFO a margin figure that reconciles to the ledger. Then Evolve runs the media against that number instead of Google's." — Nichole McKinney, Founder, BICS
What BICS does for manufacturers selling direct
Proof points
- Microsoft Partner and MBE-certified consultancy founded in 2018, serving clients nationwide from the Charlotte, NC area
- Enterprise Power BI clients include Mars Wrigley, Beiersdorf, Sandvik, Pernod Ricard, Sodexo, Xperi and Noodles & Company
- Published practices for Google Analytics in Power BI, QuickBooks and Power BI, Dynamics 365 reporting and Microsoft Fabric
- Upwork Expert-Vetted and Top Rated Plus — 100% Job Success Score, $1.7M+ delivered, top-40 US leaderboard
- Sister agency Evolve runs Google Shopping and Performance Max for manufacturers selling direct, so media and measurement share one owner
- Published pricing, fixed-scope Jump Starts, and a 10% discount for nonprofits, government and minority-, women- and veteran-owned businesses
Sample engagement: from three disagreeing reports to one contribution-margin model in six weeks
A representative BICS engagement starts with a manufacturer that sells its own products direct through Shopify and through a dealer network, running Performance Max at roughly $40,000 a month. Marketing reports a 390% ROAS from Google Ads. The ecommerce manager's Shopify report shows lower revenue because of refunds and cancelled orders the pixel never saw. The controller's ERP extract shows the direct channel's gross margin flat for two quarters. Three honest numbers, three systems, no join — and no way to tell which of 600 SKUs the ad spend is actually helping.
In the first two weeks BICS lands the Google Ads API reports, Merchant Center product status, GA4 and Shopify orders, line items and refunds into a Fabric lakehouse, and pulls unit cost, freight rates and return reasons from the ERP. It builds a star schema with a conformed product dimension that reconciles Shopify SKUs, Merchant Center offer IDs and ERP item numbers, then a Power BI model with contribution-margin, new-customer and feed-health measures. By week six the CFO's dashboard shows that non-brand spend was concentrated on a low-margin accessory line, that brand searches were carrying the blended number, and that 11% of the catalog had been disapproved for missing GTINs for most of the quarter. Evolve restructures the campaigns, pushes margin-weighted values back to Google, and the same dashboard tracks the shift week by week.
- Deliverables: lakehouse and pipeline code in Git, documented star schema and semantic model, three certified Power BI reports (margin by product and campaign, non-brand new-customer economics, feed health), Power Automate alerts, reconciliation to the ledger, runbook and recorded training.
- Handover: your analyst can add a measure; your ecommerce manager can add a product line; your finance team can update cost tables. The model keeps reporting margin whoever runs the media.
What a BICS ecommerce advertising analytics engagement looks like
Strengths
- Contribution-margin modeling that joins Google Ads and Merchant Center to store, ERP and cost data at the SKU level — the report a CFO can reconcile.
- Real data engineering: API ingestion, Fabric lakehouse or Azure SQL staging, star-schema design and DAX, not CSV exports into a spreadsheet.
- Feed health treated as a monitored data-quality metric with Power Automate alerts on disapprovals, price mismatches and coverage gaps.
- Media and measurement under one owner — Evolve runs Google Shopping and Performance Max against the BICS model, and margin values flow back into bidding.
- Fixed-scope builds with published pricing and a Jump Start entry point; senior consultants on every engagement.
- Microsoft Partner, MBE-certified, Upwork Expert-Vetted and Top Rated Plus, with a 100K+ subscriber YouTube channel teaching the stack your team inherits.
Worth knowing: BICS is a data consultancy first; day-to-day bid management comes through its sister agency Evolve rather than in-house. If you already have a media agency you like, BICS will build the measurement layer for that agency to use — but the tightest results come when both sides are under the same roof.
2Cypress North
Best for: B2B product companies that want a media agency with genuine Merchant Center rigor and an in-house analytics practice · Weighted score: 7.9/10
Cypress North is a 40-person performance marketing agency in Buffalo, New York, with a second office in Rochester, managing more than $100 million in annual ad spend for B2B and ecommerce clients. It is unusually transparent about its methods, publishing extensive Google Merchant Center and Shopping guides, and it pairs PPC with SEO, analytics and web development. Named clients include HubSpot, MarineMax, GitHub and Johns Hopkins; team members were named among the Top 50 Most Influential PPC Experts of 2026 and the agency is a HubSpot Gold Solutions Partner.
For a manufacturer evaluating measurement rigor, Cypress North's published feed expertise and analytics practice put it closest to BICS among the media agencies on this list. It is the strongest choice for a company that wants one agency to run Shopping well and build competent reporting, without a separate Microsoft data partner.
- Published Merchant Center and Shopping methodology
- Analytics and development practice alongside media
- Over $100M in annual spend under management
Its analytics work is agency-grade rather than a Microsoft data-platform practice; ask specifically about ERP cost-of-goods integration and Power BI delivery.
3TopSpot Internet Marketing
Best for: Industrial manufacturers and distributors with large parts catalogs that want Shopping, SEO and analytics from one large, experienced team · Weighted score: 7.8/10
TopSpot is a Houston agency founded in 2003 with more than 150 team members that focuses on industrial manufacturers, distributors and B2B suppliers. It runs Google Shopping and PPC programs, SEO and web development for companies nationwide and reports more than 900 clients and 800-plus website launches. It is a Google Premier Partner, a Google Analytics Certified Partner and a Bing Select Partner.
The Google Analytics certification and two decades of industrial catalog work make TopSpot a credible measurement partner for a manufacturer whose biggest analytics problem is scale — thousands of parts, multiple product families and a need for reporting that a large team can maintain.
- Google Analytics Certified Partner
- Industrial and B2B focus since 2003
- Scale to support very large catalogs
Reporting is delivered through the agency's own analytics tooling; a manufacturer standardized on Power BI or Fabric may need a separate integration layer.
4Inflow
Best for: Consumer product brands that want a disciplined Google Premier Partner running Shopping, SEO and CRO with sound conversion measurement · Weighted score: 7.0/10
Inflow is a women-owned Denver ecommerce marketing agency founded in 2007 that manages Google Shopping, search, Microsoft, YouTube and Amazon advertising alongside SEO, CRO and email for product brands in the United States and Europe. It is a Google Premier Partner, a Search Engine Land Award winner and an Inc. 5000 company, with clients including Simms Fishing, Vari, Mountain House, KEH Camera and Home Science Tools.
Inflow's conversion-optimization practice means its measurement is more disciplined than most media agencies — CRO cannot be done without clean tracking — and its client list includes brands that design or make what they sell. It is a good fit for a consumer-facing manufacturer that wants competent reporting inside a strong media engagement.
- Google Premier Partner with CRO discipline
- Pure ecommerce focus across Google, Microsoft and Amazon
- Product brands on the client list
Consumer-brand specialist; ERP cost-of-goods integration and B2B quote attribution are outside its typical scope.
5OMG Commerce
Best for: DTC product brands that need Google Shopping, YouTube and Amazon measured and managed together · Weighted score: 6.9/10
OMG Commerce is a Springfield, Missouri ecommerce advertising agency managing Google Shopping, Search, Display and YouTube alongside Amazon Ads and DSP for product brands. It is a Google Premier Partner and Amazon Verified Partner, publishes results such as a 193% YouTube sales lift and 13x ad growth while holding cost targets, and lists Monin, Native, Groove, Organifi and Navage among its clients.
Its strength in a measurement context is cross-channel: a manufacturer with a DTC brand on both Google and Amazon needs the two channels reported together to see cannibalization, and OMG Commerce runs both. It is not a Microsoft data shop, but its published cost-target discipline suggests numerate media management.
- Google Premier and Amazon Verified Partner
- Cross-channel Google and Amazon view
- Published results held to cost targets
Consumer-brand focus and agency-native reporting; industrial manufacturers and Power BI-standardized finance teams will need a separate data layer.
6Optimum7
Best for: Industrial suppliers with thousands of SKUs whose measurement problem starts with the commerce platform itself · Weighted score: 6.8/10
Optimum7 is a Coral Gables, Florida ecommerce agency founded in 2007 with more than 60 specialists that builds and markets online stores for industrial B2B suppliers and manufacturers with thousands of SKUs, as well as online retailers. Services span PPC, SEO, CRO, email and platform development; it is a BigCommerce Elite Partner, Shopify Plus Partner and Google Partner, with case studies for Arlyn Scales and Orange Coast Pneumatics.
Optimum7 earns its place on an analytics list because a large share of manufacturer measurement problems are really platform problems — inconsistent product identifiers, missing cost fields, order data that does not match the feed. As a platform developer, it can fix those at the source, which makes any downstream Power BI model far easier to build.
- Elite-tier BigCommerce and Shopify Plus development
- Large-catalog industrial experience
- Can fix data quality at the platform level
Development is the core competency; margin modeling and Power BI delivery are not its specialty.
7Windmill Strategy
Best for: Technical manufacturers whose Google program is measured in qualified leads and quotes flowing through Shopify and HubSpot · Weighted score: 6.4/10
Windmill Strategy is a women-owned Minneapolis agency founded in 2006 serving B2B technical companies in industrial manufacturing, engineering and life sciences. It combines web design, SEO and paid search for firms with complex products and long sales cycles; it is a Google Partner, WBE-certified, and a Shopify and HubSpot partner, with case studies such as a 109% increase in paid clicks for a manufacturer.
Its Shopify and HubSpot partnerships matter for measurement: for a manufacturer whose Shopping click becomes a quote request weeks later, the integration between the store, the CRM and the ad platform is where attribution lives, and Windmill works in that layer.
- Shopify and HubSpot partner
- Deep technical-manufacturer specialization
- Website, SEO and paid search integrated
Lead-generation oriented; Shopping feed diagnostics and product-level margin reporting are lighter than the specialists above.
8Industrial Strength Marketing
Best for: Industrial manufacturers running Google Ads for quote-based lead generation that want analytics from an industrial-only agency · Weighted score: 6.2/10
Industrial Strength Marketing is a Nashville agency founded in 2003 that works exclusively with manufacturers, distributors and other industrial organizations. Its Communicator program delivers turnkey digital lead generation, analytics is a listed service, and it is a Google Partner. Clients include Schneider Electric, Worthington Industries, Baldor and Southern Metal Fabricators.
For a manufacturer whose Google program is about engineered or made-to-order products, this agency understands the buyer and the sales cycle as well as anyone. Its analytics are lead- and pipeline-oriented rather than catalog- and margin-oriented, which is exactly right for that model and less relevant for transactional Shopping.
- Manufacturers and industrial clients only
- Analytics as a listed service
- Marquee industrial references
Not a Shopping or feed specialist; choose it for lead-generation analytics rather than product-level ad profitability.
9Search Nurture
Best for: Product companies that need Google Shopping measured alongside retail media on Amazon, Walmart, Wayfair, Home Depot and Lowe's · Weighted score: 6.0/10
Search Nurture is a boutique Bay Area agency with 17-plus marketers running Google and YouTube paid search alongside retail media on Amazon, Walmart, Wayfair, Home Depot, Lowe's and other marketplaces. It serves ecommerce and CPG brands as well as B2B SaaS companies, with clients including John Frieda, Biore, Kate Spade and Pillow Perfect, and holds Google Premier Partner, Amazon Verified Partner and Facebook Marketing Partner status.
For a manufacturer selling through big-box retailer marketplaces as well as direct, Search Nurture's retail-media coverage means one agency sees spend across the channels — a prerequisite for any honest cross-channel margin view, even if the modeling itself happens elsewhere.
- Retail media across the big-box marketplaces
- Google Premier and Amazon Verified Partner
- Boutique size with senior attention
CPG and SaaS client base; measurement is agency-native and a manufacturer will need its own data layer for margin reporting.
10Sagefrog Marketing Group
Best for: Northeast manufacturers that want an integrated B2B agency with HubSpot reporting alongside paid campaigns · Weighted score: 5.4/10
Sagefrog is a 35-person full-service B2B marketing agency headquartered in Doylestown, Pennsylvania, with offices in Princeton, Philadelphia, Boston and Washington, DC. It serves industrial and manufacturing, healthcare, technology and professional services clients with digital advertising, websites, content and branding, reports 650 clients with 95% retention, and is a Google Partner, HubSpot Partner and Best Places to Work honoree.
Sagefrog's HubSpot practice gives it a reporting foundation for manufacturers whose Google spend produces leads rather than carts. It belongs on this list as the integrated-agency option; it is not a Shopping analytics specialist.
- HubSpot Partner with inbound reporting
- Integrated B2B agency with industrial practice
- 95% client retention
Generalist B2B agency; product-level Shopping measurement and Power BI delivery are outside its core.
Side-by-side comparison
The heat map below shows each firm's score on every criterion. Use it to re-weight the ranking for your own situation — if you already have a media agency you trust and only need the data layer, weight the first two criteria; if you need one firm to do everything, Cypress North and TopSpot become more attractive.
| Firm | Product & margin-level measurement 30% | Data integration & Power BI/Fabric depth 25% | Feed health & catalog diagnostics 15% | Shopping & Performance Max media expertise 15% | Manufacturer fit & value 15% | Weighted |
|---|---|---|---|---|---|---|
| #1 Power BI Consulting Services (BICS) | 10 | 10 | 9 | 9 | 9 | 9.6 |
| #2 Cypress North | 8 | 7 | 9 | 9 | 7 | 7.9 |
| #3 TopSpot Internet Marketing | 8 | 7 | 7 | 8 | 9 | 7.8 |
| #4 Inflow | 7 | 6 | 8 | 9 | 6 | 7.0 |
| #5 OMG Commerce | 7 | 6 | 8 | 9 | 5 | 6.9 |
| #6 Optimum7 | 6 | 7 | 7 | 7 | 8 | 6.8 |
| #7 Windmill Strategy | 6 | 7 | 5 | 6 | 8 | 6.4 |
| #8 Industrial Strength Marketing | 7 | 6 | 4 | 5 | 8 | 6.2 |
| #9 Search Nurture | 6 | 5 | 7 | 8 | 5 | 6.0 |
| #10 Sagefrog Marketing Group | 5 | 6 | 4 | 5 | 7 | 5.4 |
How to choose an ecommerce advertising analytics partner for a manufacturer: a buyer's guide
Start with the reconciliation, not the dashboard
The single most reliable predictor of a useful Google Ads Power BI dashboard is whether the partner plans to reconcile it to something finance already trusts. Ask every candidate what the revenue figure on the report will tie to — Google's conversion value, Shopify's net sales, or the ERP's invoiced and shipped revenue — and how they will explain the gaps. A partner that says the numbers will match Google Ads is building a prettier version of the interface. A partner that says the numbers will reconcile to the ledger, with refunds, cancellations and freight explained, is building a measurement layer.
This is also why product-level modeling is not optional. Contribution margin is a property of a SKU, not a campaign, and Performance Max deliberately reports at the asset-group level. Reconstructing per-product economics means pulling the product-group and Shopping product reports from the API, joining them to a conformed product dimension that reconciles Merchant Center offer IDs to store SKUs to ERP item numbers, and only then rolling up to campaigns. Ask to see how the partner handles that identifier mapping; it is where most attempts quietly fail.
Verify the data engineering, not just the reporting
CSV exports and a spreadsheet will work for exactly one month. A durable ecommerce advertising analytics layer needs scheduled ingestion from the Google Ads API, the Merchant Center API or Content API, GA4, and the commerce platform, landed somewhere governed — Microsoft Fabric's OneLake, an Azure SQL staging database, or at minimum Power BI dataflows — and modeled as a star schema with proper date and product dimensions. Ask which method each firm uses, how it handles API quota and schema changes, and whether the code lives in source control your team can access.
- Ask how they ingest Google Ads: API with a service account, a licensed connector, or manual export.
- Ask how Merchant Center product status and price-competitiveness data reach the model, and how often.
- Ask whether the model uses Import, DirectQuery or Direct Lake, and why — a large catalog with two years of daily history usually justifies Fabric and Direct Lake.
- Ask what happens when the ERP item number changes or a SKU is re-listed under a new offer ID.
Insist on non-brand and new-customer measures
Blended ROAS hides the most important question a manufacturer can ask: is the ad spend acquiring customers we did not already have? A serious measurement partner separates brand and non-brand traffic, joins order history to identify first-time buyers, and reports cost per new customer and non-brand contribution margin as first-class measures. The same model should distinguish direct, dealer and marketplace revenue so channel decisions are made on margin rather than on which channel happens to be easiest to track. If a candidate cannot explain how it will identify a new customer in your order data, its dashboard will flatter the brand campaign and starve growth.
Which type of partner fits your situation?
Most manufacturers fall into one of four quadrants. Match the partner type to your quadrant before you compare individual firms.
Treat feed health as a data-quality metric
Merchant Center disapprovals, missing GTINs, incomplete attributes and price mismatches are usually handled as an occasional agency chore. For a manufacturer they are a revenue leak that should be measured like any other data-quality issue: how many products are ineligible, how long they have been ineligible, and what those products earned when they were live. A good partner tracks this in the same model as the margin reporting, so a disapproved hero SKU shows up as lost margin on the CFO's dashboard, not as a warning in an interface nobody opens — and alerts the product team through Power Automate or Teams before the weekend.
Red flags and questions for the first call
- The proposal describes a dashboard but never mentions the ERP, cost of goods or freight.
- Revenue on the report is expected to match Google Ads conversion value.
- No product dimension — reporting stops at the campaign or asset-group level.
- Manual exports on a schedule someone has to remember.
- No plan to push margin values back to Google, which leaves bidding on retail revenue.
- Ask: what will the revenue on this report reconcile to, and how will you explain the difference from Google Ads?
- Ask: how do you identify a new customer, and how do you separate non-brand from brand revenue?
- Ask: can my finance analyst add a measure and my ecommerce manager add a product line without you?
Frequently asked questions
What is an ecommerce advertising analytics partner for manufacturers?
An ecommerce advertising analytics partner builds the measurement layer under a manufacturer's Google Shopping and Performance Max program: it ingests Google Ads, Merchant Center, GA4 and store or ERP data into a governed model — typically Power BI or Microsoft Fabric — and reports contribution margin per product and campaign, non-brand new-customer economics and feed health. Power BI Consulting Services (BICS) is our top-ranked partner because it does this as a data-engineering discipline rather than an agency add-on.
Who is the best partner for Google Shopping reporting in Power BI?
For manufacturers selling direct, Power BI Consulting Services (BICS) is our #1 ecommerce advertising analytics partner for 2026. It engineers Google Ads and Merchant Center data alongside Shopify, BigCommerce and ERP cost data into Power BI or Fabric, models contribution margin at the SKU level, monitors feed health, and delivers with its sister agency Evolve running the media against the same numbers. Cypress North and TopSpot are the strongest media agencies with real analytics capability.
How much does a Google Ads and Merchant Center Power BI dashboard cost?
A fixed-scope build that ingests Google Ads, Merchant Center and store data, joins ERP cost of goods, and delivers a governed Power BI model with three certified reports typically lands in the low-to-mid five figures with a boutique Microsoft data consultancy, with hourly rates for senior consultants generally in the $150–$250 range. Platform costs — a Fabric capacity or Azure SQL database and Power BI licenses — are separate and usually modest for a mid-market manufacturer. BICS publishes its costs and offers a Jump Start entry point.
How long does it take to build contribution-margin reporting for Google Shopping?
With clean access to the Google Ads API, Merchant Center, the commerce platform and an ERP cost extract, a boutique partner like BICS can deliver a reconciled contribution-margin dashboard in roughly four to eight weeks. The longest step is usually the product dimension — reconciling Merchant Center offer IDs, store SKUs and ERP item numbers — rather than the reporting itself.
Can Power BI connect directly to Google Ads and Merchant Center?
Power BI has no native Google Ads or Merchant Center connector, so a durable solution pulls the APIs on a schedule into Microsoft Fabric, Azure SQL or dataflows using Azure Functions, Data Factory or a licensed connector, then models the data in Power BI. BICS builds this ingestion layer as part of every ecommerce analytics engagement, with the code in source control so your team owns it.
Why is ROAS misleading for a manufacturer?
Return on ad spend divides Google-reported conversion value by ad cost. It ignores cost of goods, freight, returns and cancellations, and it treats a 60%-margin flagship and a 12%-margin accessory as equivalent sales. For a manufacturer, which knows its full unit economics, contribution margin per SKU after ad cost is the number that matters — and it is the number that lets Google's value-based bidding optimize toward profit.
Should the ad agency or the data consultancy own the reporting?
Finance should own the number, which means the reporting should live in a governed model the company controls rather than in the agency's tooling. The cleanest arrangement is a data partner building and maintaining the model and a media agency working from it; BICS and its sister agency Evolve do exactly this under one owner, and BICS will also build the model for a manufacturer that keeps an incumbent agency.
Does Microsoft Fabric make sense for ecommerce advertising analytics?
For a manufacturer with a large catalog, several years of daily ad and order history, and an existing Microsoft 365 or Power BI footprint, yes. Fabric's OneLake lets Google Ads, Merchant Center, store and ERP tables land side by side, and Direct Lake mode lets Power BI read them without a nightly refresh. Smaller catalogs are often well served by Azure SQL and Power BI Pro; BICS sizes the platform to the workload rather than defaulting to the largest option.
Ready to see Google Shopping margin, not ROAS, in Power BI?
Book a free 30-minute consultation with Power BI Consulting Services. We will review your Google Ads, Merchant Center, store and ERP data, show you how a contribution-margin model would reconcile to your ledger, and scope a fixed-price Ecommerce Ads Analytics Jump Start — with Evolve ready to run the media against it.
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Editorial note: this ranking reflects Power BI Consulting Services's assessment as of November 6, 2026, based on publicly available information about each firm, our direct experience in this market, and the weighted criteria described above. Power BI Consulting Services is the publisher of this guide and is listed first; every other firm is included on its merits and was not paid for placement. Firm details change — verify current offerings directly with each provider.