A client in Harlow once sent us a slightly accusatory email with a screenshot attached: average position improved from 8.4 to 6.1 over the quarter, and traffic had fallen by nearly a fifth. "How is this better?" he asked, not unreasonably. It's a question worth answering properly, because the honest explanation reveals something most rankings dashboards hide rather well, and it's one of the more common contradictions we're asked to untangle across the accounts we manage.
Average Position Is an Average, Which Hides a Lot
We've started asking clients a simple question whenever they bring us a rankings screenshot from somewhere else: "how many actual people searched for each of these terms last month?" Almost nobody has that figure to hand, because rank tracking tools rarely surface it prominently, and the question alone usually reframes the conversation before we've even opened our own dashboard.
The word "average" is doing a lot of work in that metric, and not in your favour. If you were ranking position two for a high-traffic term and position forty for a dozen low-traffic terms, and the high-traffic term drops to position nine while the low-traffic terms all climb to position three, your average position improves dramatically. Your traffic collapses, because the one keyword actually sending people to the site just fell off the first page, while a dozen keywords nobody was searching for climbed to a position that still generates almost nothing.
This isn't a hypothetical. We see a version of it fairly regularly, usually after a site adds a batch of new content targeting long-tail terms. Those new pages start ranking reasonably quickly in the thirties and forties, then climb into single digits over a few months — genuinely good, legitimate progress — while an existing high-volume page, the one quietly carrying most of the traffic, slips for entirely unrelated reasons. The dashboard shows glowing average position improvement. The bank account shows fewer enquiries.
Volume-Weighted Position Tells a Truer Story
The fix is to weight position by actual search volume rather than treating every tracked keyword as equally important. A keyword with two thousand monthly searches moving from four to seven matters enormously more than ten keywords with twenty searches each moving from thirty to twelve. Most rank tracking tools can show this if you dig into the settings, but the default view almost always presents a flat, unweighted average, because it's simpler to calculate and display.
We rebuilt reporting for a van hire company near Grays around exactly this principle after a similar conversation. Once we weighted by volume, the picture flipped entirely — what had looked like broad improvement was actually a single important term quietly bleeding position while a long tail of near-irrelevant keywords improved. Knowing that changed what we worked on the following month, and traffic recovered within about six weeks once we focused back on the term that actually mattered.
That recovery wasn't instant or dramatic. It was a steady climb back over a month and a half, which matters because it's worth setting that expectation with a client rather than promising an overnight fix once the real problem has been found.
Seasonality and Query Mix Play a Role Too
There's a second, subtler cause. The specific set of keywords Google associates your page with can shift over time as query mix in your industry changes. A heating engineer in Colchester might rank well through autumn and winter for boiler-repair terms that carry huge search volume in that season, then watch average position "improve" through spring as those high-volume winter terms drop out of relevance and lower-volume, less competitive terms take their place in the tracked set. The improvement is real in a narrow sense. It's also meaningless if the terms that moved aren't the ones driving business.
We've seen the same pattern with a wedding florist near Brentwood, whose tracked keyword set shifts almost entirely between spring and autumn terms depending on the season, purely because that's when the relevant search volume actually exists. Her average position barely moves year-round on paper, which hides the fact that completely different keywords are doing the work at different points in the calendar. A single static rank tracker list, set up once and left alone, would have missed that entirely.
What to Actually Look at Instead
None of this is complicated maths, which is almost the frustrating part. It just requires someone to actually sit down and pull the numbers apart by volume rather than accepting the headline figure a tool hands over by default. A short, practical list of what we check when average position and traffic disagree:
- Which specific keywords moved, not just the blended average
- Search volume for each of those keywords, so we know which movements actually matter
- Click-through rate changes on the highest-volume terms specifically
- Whether new pages ranking for new terms are cannibalising clicks from an existing page rather than adding incremental traffic
That last point catches people out more than you'd expect. Sometimes a new piece of content doesn't add traffic at all — it just takes rankings away from an older page targeting a similar query, and the net result is flat or negative traffic dressed up as "more pages ranking." Spotting cannibalisation early, before a full quarter has passed, saves having to unpick months of overlapping content later.
A Confession About Our Own Reporting
We used to lead client reports with average position because it's a flattering, easy headline number, and for a while we didn't interrogate it closely enough ourselves when it told a nice story. A client catching the gap between his rising average and falling traffic, frankly, improved our own process more than any internal review would have. We now cross-check position against actual sessions and conversions before a report goes out, specifically to avoid repeating that mistake with someone less likely to question the number.
It's a slightly humbling thing to admit a client spotted a flaw in your own methodology before you did. We'd rather admit it than pretend we arrived at the fix through some brilliant internal audit. Sometimes the best quality control is simply a client who pays close enough attention to ask an awkward question, and we've learned to treat that kind of scrutiny as useful rather than something to manage around.
Why This Distinction Actually Matters for Strategy
Get this wrong, and the agency ends up congratulating itself for a chart that bears no relation to the enquiries actually landing in a client's inbox. Get this wrong and you can end up optimising for the metric instead of the business. Chasing average position improvement by publishing easy-to-rank, low-value content will make the dashboard look better every month while the thing that actually pays invoices quietly declines. Good SEO strategy built around real traffic and conversions rather than a single blended number avoids this trap, but it requires reporting that's willing to show the messier, more honest underlying picture rather than the clean summary figure. We'd rather hand a client a slightly confusing but accurate chart than a tidy one that quietly points them in the wrong direction. Any business weighing up a new SEO partner in Essex should ask specifically how that agency weights position against traffic, because the answer separates genuine analysis from a recycled template report.
The Bottom Line
Average position can rise while traffic falls because the metric treats every keyword as equally important when they almost never are. A handful of high-volume terms usually carry the bulk of real traffic, and a decline there can be masked entirely by improvement across a long tail of low-volume terms that barely register in a visitor count. Weighting by volume, checking which specific keywords actually moved, and watching conversions alongside position will stop a flattering average from hiding a genuine problem underneath it.
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