The client operates a subscription-based competitive marketing intelligence platform serving brands across the United States and Canada. The platform automates large-scale marketing data collection and delivers timely insights on competitors' campaigns, products, pricing, and promotional strategies. By consolidating multi-channel marketing activity into a single searchable system, it empowers brands to respond faster, benchmark pricing effectively, and maintain their competitive edge.
The client relied on a network of incentivized partners who continuously collected industry-wide marketing data from diverse sources and submitted it to the client's portal. They needed our data processing services to manage that data. The scope covered the following campaign types:
The client required all campaign data to be de-duplicated, cleansed, standardized, and classified. We had to deliver analytics-ready datasets that fed directly into competitive marketing intelligence reports for their subscribers.
The client's data collection model was designed for coverage, not consistency. That trade-off created a set of recurring operational challenges that we needed to solve at scale.
Rather than treating each campaign channel as a separate process, we built a unified data processing framework that applied consistent standards across all media types while allowing for channel-specific handling where required. Across all channels combined, the team processed over 700,000 campaign records every month. The solution covered the full data lifecycle: capture, cleansing, deduplication, classification, structuring, quality assurance, and delivery.
We processed approximately 500K+ email and direct mail campaigns per month through a single standardized workflow. Each campaign record went through PII redaction (removal of personally identifiable information), duplicate elimination using OCR-based validation, accurate campaign date capture, and structured extraction of key fields — company name, product, offer details, target audience, and industry sector.
For print media, we processed over 11,000 advertisements monthly. Unlike email or social media campaigns — which were submitted directly by the client's partner network — print advertisements had to be actively sourced. Our web research team identified and collected relevant ads from digital editions of newspapers, online news publications, and brand and competitor websites. Each sourced advertisement was then structured into a searchable, mapped campaign record following the same classification and formatting standards applied across all other channels.
Our team processed over 37,000 digital campaigns per month, captured from social media platforms, third-party websites, and online video channels. This included sponsored ads, display banners, and video promotions from defined brand and competitor accounts. Each captured campaign was reviewed, classified by industry and campaign type, and structured, detailing what was being promoted, through which format and channel, and the likely target audience based on offer messaging and product category.
We captured over 62,500 data points every month related to energy pricing and promotional offers. Each record was analyzed to extract product details, pricing tiers, offer validity, company information, and target audience. We also validated copies and variants to ensure accurate campaign tracking, converting raw data into sector-specific competitive reports.
Campaigns from telecom, retail, and banking/financial services sectors were processed by identifying the primary service or product, promotional offer, bundle details, response channels, and customer segment. For banking and credit card campaigns, our team captured mortgage rates, loan terms, and card benefits across all media channels. For retail, we structured product promotions, brand communication, and seasonal offer messaging. Each sector's output followed a standardized format while preserving industry-specific nuances.
We performed product-level visual labeling of retail marketing emails/PDFs to identify featured products, brand placement, and promotional elements. This visual annotation layer enabled the client's subscribers to measure promotional value, compare brand visibility across competitors, and evaluate merchandising effectiveness — insights that text-based data processing alone could not deliver.
Across all channels, we applied a consistent data standardization framework that included content conversion into structured formats, sensitive data removal, OCR-based duplicate validation, industry and sector mapping, audience segmentation, campaign type categorization, and multi-level quality checks. Every record was classified by industry, product, offer type, audience, and campaign channel, creating a unified taxonomy that made cross-channel and cross-industry analysis possible for the client's platform.
We implemented a multi-level quality assurance process that included validation checks at the operator and QA lead levels, accurate campaign dating and version control, and consistent data entry standards across the team. Error rates were tracked weekly, and persistent issues were addressed through retraining and template refinement. Regular calibration sessions with the client ensured that evolving classification rules and new campaign types were absorbed into the QC process without disrupting delivery timelines.
We enabled the client to standardize multi-channel marketing data, reduce processing backlogs, and scale delivery across new industries — all while maintaining strong accuracy and turnaround time.
Achieved 99% Data Accuracy Improved from 70% over the course of the engagement through continuous process calibration, multi-level quality checks, and operator retraining cycles.
Improved Reporting Efficiency by 40% Enabling the client to deliver faster competitive insights to subscribers by eliminating processing bottlenecks through a single standardized data pipeline.
85% Data Processing Workload Managed Processing 700,000 records per month with a dedicated team of 200+ resources.
3x Surge Capacity without Additional Onboarding Handling seasonal and industry-driven demand spikes — particularly during peak campaign periods in banking, retail, and energy — with cross-trained operators.
Leverage our data processing services and data standardization expertise to convert any type of data into clean, structured, and analytics-ready datasets. Whether you need support for competitive marketing intelligence, campaign classification, or visual annotation — we deliver at scale, on time, and with consistent accuracy.
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