Audit PolicyBazaar's Content Channel Mix Against the Two-Channel Rule

Marketing Academy · Field Work●Content Marketing

CoreAudit· 50 minutes

PolicyBazaar (PB Fintech)

Objective: Read PolicyBazaar's actual traffic export and Search Console indexation report, and decide where the content strategy is quietly breaking its own rules, using the lesson's playbook as the diagnostic checklist rather than gut feel.

PolicyBazaar's content team has been publishing steadily for a year across search, email, and social, but nobody has checked the actual export against the strategy doc's own rules in months. You've been handed the raw UTM export and the latest Search Console indexation report and asked for a diagnosis, not a guess.

Work through three real signals in the data below: channel concentration, per-format measurement discipline, and indexation waste. Each one traces back to a specific step in the lesson's playbook.

Before you start

What you'll need

Free path (everything below is enough to finish)

Google Analytics 4(optional)

FreeRead the UTM export for channel concentration and per-format measurement

Free tier reads session source/medium and conversions, everything the first two steps need

Google Search Console(optional)

FreeRead the indexation breakdown for the third step

Free and is the exact source of the Pages report used in the indexation-waste step

Paid upgrades (optional, faster/deeper)

Google Analytics 4 and Search Console are both free and are the actual tools this diagnosis runs on. Ahrefs is a depth upgrade for ongoing monitoring, never a requirement here.

Ahrefs(optional)

PaidDeeper crawl diagnostics and historical indexation trend

Only useful for a running production audit over time, not required to complete this one-time diagnosis

Download project dataset

The process

3 steps

Step 01 of 03

Checking whether content investment is actually running through 2 channels or quietly spread across more

The lesson's Step 3 says pick two channels where your audience already is and execute with discipline, since five channels done badly loses to two done well.

How many distinct owned channels is PolicyBazaar's content actually running through this month, and does that match a two-channels-max strategy?

Google Analytics 4— Acquisition > Traffic acquisition > Session source / medium, date range set to the export period

Procedure

Export session source/medium for the period, exactly like the raw UTM log below.
Group rows by source+medium, normalizing case (Google/google/GOOGLE are the same channel).
Sum sessions and conversions per group and rank from highest to lowest.
Count how many groups are content/owned channels (organic search, newsletter, organic social) versus paid channels.

Sample output

PolicyBazaar blog · UTM export, 20-day window

  Channel                    Sessions   Conversions    CVR
  google / organic             1,567          39      2.49%
  google / cpc                 3,416          85      2.49%
  bing / cpc                     323           5      1.55%
  twitter / social                420           4      0.95%
  facebook / paid_social          359           7      1.95%
  newsletter / email              640          24      3.75%

  Owned content channels running in parallel: google/organic, twitter/social, newsletter/email = 3

Healthy

Content-owned channels (organic search, email, organic social) concentrated in exactly 2, each with enough volume to judge, matching the lesson's own discipline of going deep on fewer channels.

Unhealthy

Content is running through 3 or more owned channels at once, here: organic search + newsletter + Twitter, thinning attention across all of them instead of going deep on 2.

What this means

PolicyBazaar's content is running through 3 owned channels: organic search, newsletter, and Twitter. That's the two-channels-max rule already broken, and the numbers show why it matters, Twitter converts at 0.95%, the worst of the six rows, while newsletter converts at 3.75%, the best.

So what do I do about it?

Symptom	Action	Effort
3 owned channels running simultaneously, one clearly underperforming	Cut Twitter as an owned content channel, redirect that team time into organic search and newsletter, the two channels already proven	half day
No documented decision for why 3 channels are running instead of 2	Write the channel decision into the strategy doc so it doesn't silently drift back to 3 next quarter	30 min

YouYou can do this yourself, no engineering access required.

Step 02 of 03

Checking whether each channel is judged on its own metric or lumped into one blanket KPI

The lesson's Step 4 says different formats have different time horizons and success signals, mixing them guarantees someone always looks like they're failing.

Is PolicyBazaar judging Twitter, a top-of-funnel awareness channel, by the same yardstick as newsletter, a bottom-funnel, high-intent channel?

Google Analytics 4— Same Acquisition report as the previous step, this time reading conversions and revenue per row, not just sessions

Procedure

Pull conversions and revenue per channel from the same export.
Note which channels are top-of-funnel content (organic social, awareness SEO posts) versus bottom-funnel or high-intent (email to an existing list).
Check whether the team's monthly report applies one blanket conversions target to every channel, or a different metric per format.

Sample output

PolicyBazaar monthly content report (as currently written):

  ALL CHANNELS TARGET: 50+ conversions / month, no per-channel breakdown

  Actual: google/organic 39, twitter/social 4, newsletter/email 24
  -> Twitter flagged 'underperforming' in the monthly report
  -> Newsletter and organic search not mentioned at all

Healthy

Each format has its own defined success signal, for example Twitter judged on saves/replies at 7 days (its actual job, top-of-funnel awareness), newsletter judged on conversions at send-time (its actual job, bottom-funnel).

Unhealthy

One blanket conversions target applied to every channel regardless of what journey stage that channel actually serves, exactly the lesson's 'setting the same KPI for every content format' mistake.

What this means

Twitter is being graded on conversions, a bottom-funnel metric, when its actual job in this mix is awareness. That isn't evidence the Twitter content is bad, it's evidence the report is asking it the wrong question, on top of the volume problem already flagged in the previous step.

So what do I do about it?

Symptom	Action	Effort
Every channel judged against one shared conversions target	Split the monthly report into per-format metrics: awareness channels tracked on saves/shares/replies, newsletter tracked on conversions and revenue	30 min
Report currently can't tell you if Twitter content itself is weak or just mismeasured	Re-run this diagnosis after one reporting cycle with the new per-format metrics before deciding whether to cut Twitter entirely	half day

EitherYou or a developer can handle this, depending on your access.

Step 03 of 03

Checking how much published content never gets indexed, a sign the 'will not publish' list isn't being enforced

The lesson's Step 6 says name what you will refuse to publish regardless of trend pressure, since every team that burns out from over-publishing skipped this guardrail.

How much of what PolicyBazaar has published is Google actually choosing not to index, and what does that say about the will-not-publish list?

Google Search Console— Search Console > Pages > see why pages aren't indexed

Procedure

Open the Pages report and read the full breakdown of indexed versus non-indexed reasons.
Add up every non-indexed reason as a share of total pages.
Flag which non-indexed reasons point to a publishing-discipline problem versus a purely technical one.

Sample output

PolicyBazaar Search Console · Pages report

  Indexed                                 3,891    (73.7%)
  Crawled, currently not indexed             690    (13.1%)
  Blocked by robots.txt                      412     (7.8%)
  Duplicate, no user-selected canonical       182     (3.4%)
  Not found (404)                              94     (1.8%)
  Server error (5xx)                            11     (0.2%)
  Total                                     5,280

Healthy

Indexed share above roughly 90%, with 'crawled, not indexed' and 'duplicate, no canonical' kept low, both signal Google is choosing to skip pages the team itself should have filtered before publishing.

Unhealthy

'Crawled, currently not indexed' running in the hundreds (690 here, 13.1% of all pages) means Google looked at that many pages and judged them not worth indexing, exactly the kind of thin, low-value content a will-not-publish list exists to stop before it ships.

What this means

690 pages Google crawled and rejected, plus 182 duplicates with no canonical set, add up to 872 pages, 16.5% of everything published, that never should have gone out under the strategy's own rules. That is not a technical SEO bug, it's the will-not-publish list not existing yet.

So what do I do about it?

Symptom	Action	Effort
690 pages crawled but not indexed	Audit the lowest-traffic 100 of those pages, most will match a pattern (thin, AI-generated, no original data) that belongs on the will-not-publish list going forward	half day
182 duplicate pages with no canonical set	Add explicit canonical tags across the near-duplicate pages, a one-time technical fix, not a strategy fix	dev ticket

EitherYou or a developer can handle this, depending on your access.

Final deliverable

A 3-part written diagnosis (channel concentration, per-format measurement, indexation waste) with one recommended action per finding.

See a reference example

Sample output

Applying the same 3 checks to Zillow's own listing-guide blog last quarter: found 4 owned channels running (organic search, YouTube, Pinterest, email) against a 2-channel strategy doc, cut Pinterest and YouTube back to a quarterly cadence instead of weekly. Per-format measurement: home-buying guides were being judged on 30-day conversions, a bottom-funnel metric, when their actual job was 90-day organic ranking, moved them to a 90-day organic-sessions target instead. Indexation: 81% indexed rate, healthier than PolicyBazaar's 73.7%, but 'crawled, not indexed' still made up 9% of pages, traced to old market-report pages with no updated data, added a 12-month freshness rule to the will-not-publish list.

Success criteria

You're done when you can:

Correctly counts 3 owned content channels currently running (organic search, newsletter, Twitter) against the lesson's 2-channel-max rule
Identifies Twitter as the channel to cut or fix first, citing its 0.95% conversion rate, the lowest of the six channels in the export
Explains why judging Twitter on a shared conversions target misdiagnoses it, tying the fix to Step 4's per-format metric guidance
States the indexed-page share (73.7%) and identifies 'crawled, not indexed' plus 'duplicate, no canonical' as the two reasons tied to a missing will-not-publish list, not a technical bug alone