Using Route’s attention‑adjusted impacts at granular levels to reflect true consumer exposure, then model, gap‑fix, and evaluate in context.

TL;DR

Download a copy of the Best Practice guidelines here.

 

OOH street image

Why Route data matters

Route measures impacts that account for viewability (90%+ of the frame), audience dwell, and noticeability along likely paths of travel—yielding a more reliable exposure signal than simple proximity.

5‑step workflow

5-step flow graphic

  1. Set objectives — Be clear on OOH’s role (sales uplift, brand build, local activation). Include brand metrics in MMM if brand‑led; check spend is sufficient.
  2. Request the right data — Align with goals; split by time, format, region, static vs digital, and environment (roadside/transport/retail). Capture role of each placement.
  3. QA on arrival — Validate structure, peaks/troughs, and alignment with spend. Identify unscored or partially scored frames early.
  4. Fix data gaps — Prefer blended ROI: model scored (impacts) and unscored (spend) separately, then blend. Use proxies only for partially scored formats (e.g., buses, DEPs, taxis, tube/rail panels).
  5. Evaluate in context — Consider lag effects, creative and targeting quality, digital vs static dynamics, and mixed‑media periods.

Data gaps — decision guide

Blended ROI (Recommended): Split spend between scored and unscored; model scored with impacts and unscored with spend; blend contributions and spend for overall ROI. Best when deployment shapes differ.

Scored‑only ROI (Not recommended): Model only scored frames while keeping total spend; can depress ROI if unscored share is material unless small and consistent.

Proxies (Use with caution): Use for partially scored formats available on Route but lacking specific Frame IDs. Not possible for formats not on Route—treat separately as above.

Quick checklist

Further Reading: Best practice Guidelines for OOH