How commercial teams put web data to work

A mid-sized electronics retailer was repricing manually once a week against a handful of competitors. By the time prices were updated they were already stale, and the team had no visibility into competitor stockouts they could capture demand from.

• Defined a watch list of competitor product URLs mapped to internal SKUs
• Collected price, discount, and availability daily across all matched products
• Delivered a normalized CSV each morning plus a JSON feed into their pricing tool

The retailer moved from weekly manual checks to an automated daily pricing signal feeding a rules-based repricing engine. Pricing analysts shifted from data gathering to strategy, and stockout alerts let them capture demand competitors could not fulfil.

An insights agency needed repeatable TikTok data for client campaign analysis, but was relying on manual screenshots and one-off pulls that were impossible to compare across projects or over time.

• Scoped a recurring collection of public creator, video, and hashtag signals by category
• Standardized the output schema so every project used the same comparable fields
• Delivered scheduled exports the research team could drop straight into their models

The agency replaced ad-hoc manual collection with a consistent dataset it could benchmark across campaigns. Research turnaround on new briefs dropped sharply, and the standardized fields made cross-project comparison possible for the first time.

A B2B SaaS sales team was buying generic lead lists that converted poorly and aged quickly. Reps spent more time cleaning and qualifying records than actually selling.

• Encoded the team's ideal-customer profile into the collection filters
• Pulled targeted business records from public directories and marketplace listings
• Refreshed the dataset monthly and delivered CRM-ready files

Instead of a huge untargeted list, the team received a smaller, pre-qualified dataset that matched their ICP and refreshed on a schedule. Connect rates improved and reps spent their time on outreach rather than list hygiene.