Sync LinkedIn Ads campaign performance with NielsenIQ retail measurement data to understand how B2B advertising drives in-market outcomes. Stop manually cross-referencing ad engagement with sales velocity, market share, and distribution metrics across disparate dashboards.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically match LinkedIn campaign flight dates and audience segments to corresponding NielsenIQ sales velocity and market share changes. Surface which job titles, industries, and ad creatives correlate with measurable retail performance shifts. Generate correlation reports showing B2B awareness impact on downstream purchase behavior.
Pull NielsenIQ market share, distribution strength, and category growth data into LinkedIn campaign planning. Automatically adjust audience targeting and budget allocation based on geographic markets showing high retail velocity or low brand penetration. Align B2B messaging with regions where in-market performance needs support.
Monitor NielsenIQ promotional calendar and pricing events, triggering alerts when LinkedIn campaigns should amplify retail promotions. Notify demand gen teams when in-store activity creates windows for coordinated B2B awareness pushes. Ensure ad spend timing matches retail execution periods.
Combine LinkedIn engagement metrics, conversion events, and audience data with NielsenIQ sales, distribution, and market share time series. Build unified datasets showing B2B advertising influence on retail outcomes over time. Enable multi-touch attribution analysis connecting professional engagement to consumer purchase behavior.
Use NielsenIQ retailer-specific sales data to build LinkedIn audience segments targeting decision-makers at high-performing or underperforming retail accounts. Create campaign variations addressing specific channel dynamics revealed in retail measurement data. Personalize B2B messaging based on actual shelf performance at prospect organizations.
Automatically produce monthly reports showing LinkedIn campaign investment alongside NielsenIQ market share trends, category growth, and competitive positioning. Visualize B2B advertising ROI in terms of retail market impact rather than just lead volume. Surface insights on which LinkedIn audience segments drive the strongest downstream market effects.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize LinkedIn Ads and NielsenIQ with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands LinkedIn Ads campaign structures, audience targeting dimensions, and conversion tracking alongside NielsenIQ's retail measurement hierarchies, panel data schemas, and time-series product performance metrics.
Redbird's AI natively understands LinkedIn's campaign hierarchy, audience segment taxonomies, lead gen form fields, and conversion pixel events. It also interprets NielsenIQ's product UPCs, retailer hierarchies, store-level velocity metrics, market basket data structures, and promotional calendar formats. The platform automatically reconciles time periods, geographic markets, and category definitions between advertising flights and retail measurement windows. No manual schema mapping required to connect professional engagement metrics with consumer purchase outcomes.
faster than exporting LinkedIn CSVs and cross-referencing with NielsenIQ retail reports
Redbird can pull from LinkedIn Ads and NielsenIQ simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either LinkedIn Ads or NielsenIQ.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from LinkedIn Ads into NielsenIQ, or from NielsenIQ back into LinkedIn Ads. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start workflows from any campaign event in LinkedIn Ads or any retail measurement update in NielsenIQ.
Trigger when a LinkedIn campaign or campaign group hits a specified spend level or daily budget percentage.
Fire when a new lead is captured via LinkedIn native lead gen forms, including form field data and audience segment.
Activate when LinkedIn Insight Tag records a conversion event like content download, demo request, or trial signup.
Build new Matched Audiences or update existing segments with user lists, company lists, or retargeting criteria.
Programmatically change campaign daily budgets, total budgets, or bidding amounts based on external performance signals.
Automatically enable or pause campaigns, ad groups, or individual creatives based on conditions or schedules.
Fire when a product or brand's market share increases or decreases beyond a threshold in tracked categories and markets.
Trigger when NielsenIQ detects significant velocity changes at the product, category, or retailer level in measurement periods.
Activate when new ACV (all commodity volume) or TDP (total distribution points) data shows distribution gains or losses.
Pull sales, market share, pricing, or promotional metrics for specific UPCs, brands, categories, or time periods.
Fetch store-level sales velocity, inventory turns, or promotional effectiveness data for specific retail accounts or channels.
Generate comparative analysis showing category share, pricing position, and promotional activity versus competitors.
Join teams using Redbird AI to connect B2B advertising performance with retail market outcomes. Stop manually correlating LinkedIn campaign metrics with NielsenIQ sales data—automate the insights that matter.