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Share on XTry this multi-step, metric-agnostic process – it works no matter which metrics you track for your content marketing.Track the old world firstPick a date a couple of weeks before the pandemic really hit your audiences – when they were going about their normal routines. Since the date could vary based on global geographic region, you may need to segment your audience.These pre-pandemic numbers will let you see the effectiveness of your content marketing quarter-over-quarter and year-over-year. This historical perspective could be helpful down the road.

s date allows you to close the chapter on you taiwan country code mobile number pre-COVID- content marketing work.HANDPICKED RELATED CONTENT:Stop Wasting Time: Review Your Website AnalyticsNail Your Content Performance With This Measurement Starter KitGo week to weekYour content marketing lives in the pandemic world now. Even if you found tracking quarter by quarter or even month to month worked well before the pandemic era, it’s time to step up your analysis frequency.Given the rapidly evolving external factors affecting your audience (and internal factors affecting your team), it makes sense to start analyzing your metrics weekly.

This accomplishes two things:It reveals day-to-day changes in your audience’s behavior and interests.It gives you a better picture of week-to-week patterns that can inform whether and how to evolve your content marketing program in response to audience changes.Review your content #metrics weekly to better understand the COVID- impact, says @AnnGynn via @cmicontent.Share on XBut you can’t just look at the same analytics reports you used to use. You need to add an extra layer of information.Note key dates on a timelineWhen you pull the reports, note any relevant external factors, including:The start date for stay-at-home ordersOther pertinent dates or news affecting your industry or your audience (a tax accounting firm would note that on March the federal government extended the federal income tax filing deadline to July , for example)This robust combination of your typical metrics and relevant news will ground your analysis.