04 · Library
Proprietary benchmarks
Import historical client performance so projections use your own CPC/CTR/CVR instead of generic WordStream numbers. Available for any (industry × country × campaign type) combo with at least 3 data points.
Import CSV
Upload a CSV of historical client performance. Rows are aggregated into the benchmark library — re-importing the same data adds new rows, it does not deduplicate.
CSV format
One row per client per period per platform per campaign type. Industry must match a known ID; country uses ISO-2 (GR, US, GB, etc.) or GLOBAL. Platform: google_ads / meta_ads / linkedin_ads / tiktok_ads.
client_name,industry,country,platform,campaign_type,period_start,period_end,impressions,clicks,cost,cost_currency,conversions,conversion_value Acme,ecommerce_apparel,GR,google_ads,search,2026-01-01,2026-01-31,150000,4500,2100,EUR,180,14400 Acme,ecommerce_apparel,GR,google_ads,pmax,2026-01-01,2026-01-31,300000,6800,2200,EUR,210,16800 Acme,ecommerce_apparel,GR,meta_ads,meta_conversions,2026-01-01,2026-01-31,420000,5100,1900,EUR,135,10800 Acme,ecommerce_apparel,GR,tiktok_ads,tiktok_conversions,2026-01-01,2026-01-31,680000,7200,1650,EUR,95,7600 Beta,b2b_saas,US,google_ads,search,2026-01-01,2026-01-31,42000,950,4800,USD,28,33600 Beta,b2b_saas,US,linkedin_ads,linkedin_lead_gen,2026-01-01,2026-01-31,38000,250,2500,USD,45,67500
Coverage
Combos with ≥3 points are usable as proprietary benchmarks
No data yet. Import a CSV above to start building your private benchmark library.
How it's used in projections
When proprietary data is available for the chosen industry / country / campaign type, the simulator can use it instead of seeded benchmarks (15seeded industries). Pick the source in the simulator's "Benchmark source" selector.
Try it in a simulation →