Local TV remains an important part of the media mix, but buying it often requires planners to work with station responses that use different spreadsheets, field names, terminology, and data formats. TangoLINX automates the work required to turn those non-standardized station responses into consistent, planning-ready data. The platform collects incoming information from multiple local TV stations, standardizes it, and feeds it back into the buyer’s existing media-planning platform. This reduces manual spreadsheet work, makes station opportunities easier to compare, and helps buyers build local TV campaigns faster.
TangoLINX cleans up the ingestion, organization, standardization, validation, and transformation of local TV station data.
Here are 12 key data tasks TangoLINX handles for local TV buyers:
✅ Ingesting 📺 Collects incoming information from multiple local TV stations.
Instead of requiring buyers to manually open, copy, and organize every station response, TangoLINX brings incoming information into a structured workflow.
✅ Parsing 📺 Separates combined station information into usable fields.
Station responses may combine program names, time periods, rates, inventory details, and other information in inconsistent ways. TangoLINX separates that information into fields that can be reviewed and processed more efficiently.
✅ Filtering 📺 Identifies the stations, markets, programs, rates, and inventory relevant to the plan.
Buyers can focus on the opportunities that fit the campaign instead of manually searching through every line of every station response.
✅ Sorting 📺 Organizes information so buyers can review and compare opportunities more easily.
Once station information is organized, planners can evaluate markets, stations, programs, dayparts, rates, and inventory in a more consistent way.
✅ Cleaning 📺 Corrects inconsistent formatting, missing fields, and common data irregularities.
Local station information does not always arrive in a uniform format. TangoLINX helps resolve common data issues before the information moves further into the planning process.
✅ Standardizing 📺 Converts different station formats and terminology into one consistent structure.
One station may label a field one way while another station uses completely different terminology. TangoLINX translates those differences into a standardized data structure that buyers and their systems can use.
✅ Mapping 📺 Matches station fields and categories to the buyer’s media-planning platform.
TangoLINX connects incoming station information with the corresponding fields used by the buyer’s larger media workflow. This makes local TV data easier to incorporate into an existing planning environment.
✅ Validating 📺 Checks information against established requirements and business rules.
Automated validation helps identify incomplete, inconsistent, or unexpected information before it causes additional work later in the buying process.
✅ Reconciling 📺 Identifies discrepancies between station responses, requested information, and planning data.
When submitted information does not match the request or existing planning requirements, TangoLINX helps bring those differences to the buyer’s attention.
✅ Consolidating 📺 Combines responses from multiple stations and markets into one usable dataset.
Rather than maintaining separate files and formats for every station, buyers can work with a consolidated view of local TV opportunities across the campaign.
✅ Transforming 📺 Converts raw station information into planning-ready data.
The information becomes more than a collection of station spreadsheets. It becomes structured data that can support evaluation, comparison, planning, and execution.
✅ Feeding Data Back 📺 Returns standardized local TV information to the planning team and its larger media platform.
This final step is critical. TangoLINX does not create another disconnected place for buyers to manage. It feeds usable local TV data back into the team’s established workflow and planning platform.
TangoLINX transforms the hodgepodge of station responses into consistent, usable data that flows back into the buyer’s existing media-planning platform, and there’s more.
By automating repetitive collection work and data clean up, TangoLINX helps buying teams:
Local TV inventory can deliver valuable reach within specific markets, but the buying process becomes harder to scale when each station provides information differently. Without standardization, planners may need to spend hours filtering spreadsheets, renaming fields, correcting formats, comparing rates, and transferring information into another system. That manual work slows the campaign and increases the possibility of errors.
TangoLINX automates much of this “messy middle” between receiving station information and using it in a media plan.
No. TangoLINX is designed to work with the buyer’s larger media-planning environment. It processes non-standardized local TV information and returns consistent, planning-ready data to the team and its existing platform. Buyers retain their established planning workflow while gaining a more efficient way to incorporate local station opportunities.
TangoLINX reduces the operational friction that can make local TV more difficult to include in complex, multi-market campaigns. The result is less manual spreadsheet work, faster station comparisons, and a more responsive TV campaign buying process. By making local TV data easier to use within larger media platforms, TangoLINX helps ensure that local television remains an important and fully integrated part of the overall media plan.
Ready to see what happens after the station responses arrive? Explore the TangoLINX demo and see how local TV information moves from inconsistent spreadsheets to standardized, planning-ready data.
TangoLINX Demo request: info.centriply.com/en/tangolinx-demo-request