16%
16% -- campaign roi increase for Corel (Didit MAPS geo-targeting campaign) (2013)
Using Didit's proprietary MAPS geo-database technology in a campaign for Corel resulted in a 16% increase in ROI.
Questions about this data
What is the campaign roi increase for Corel (Didit MAPS geo-targeting campaign)?
The campaign roi increase for Corel (Didit MAPS geo-targeting campaign) is 16% as of 2013 according to Didit. This figure is the primary benchmark in the Lighthouse dataset for this segment. Individual results vary by region, channel mix, and audience quality.
What is a good campaign roi increase benchmark for Corel (Didit MAPS geo-targeting campaign)?
A strong campaign roi increase benchmark for Corel (Didit MAPS geo-targeting campaign) is 16%, using the current serving value as of 2013. This is one serving-eligible observation, not a distribution median; top-quartile comparisons require the underlying distribution. Vertical, audience size, and campaign type all shift what 'good' means.
How does Corel (Didit MAPS geo-targeting campaign) campaign roi increase compare to the industry average?
The published campaign roi increase serving value for Corel (Didit MAPS geo-targeting campaign) is 16% as of 2013. Individual sectors and audiences may differ substantially; this single observation does not establish an aggregate mean. Quartile comparisons require the underlying distribution, which is not implied by this record.
What factors affect campaign roi increase for Corel (Didit MAPS geo-targeting campaign)?
Primary drivers of campaign roi increase variation for Corel (Didit MAPS geo-targeting campaign) include audience segmentation, timing, and channel selection. Methodology documents campaign factors, but this serving record does not quantify the effect of personalization. The current serving value is 16% as of 2013.
What campaign roi increase should I aim for as a digital marketer in 2013?
For a digital marketer, the published campaign roi increase serving value is 16%; it is an evidence-grade reference, not a personalized target as of 2013. Any performance goal should account for channel mix and audience. Review the methodology before operational decisions; a gap from this serving value does not by itself indicate a structural issue.
Approved for serving with evidence grade B. The record passes the documented quality and serving gates; consult the methodology for provenance details.
Single source - not yet corroborated
Vendor case study using Didit's proprietary MAPS geo-database with Google/Bing geo-targeting
<blockquote cite="https://lighthousedata.io/data/corel-geotargeting-roi-increase" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>16%</strong> -- campaign roi increase for Corel (Didit MAPS geo-targeting campaign)<br><small>Source: Didit (2013) · <a href="https://lighthousedata.io/data/corel-geotargeting-roi-increase" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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