PPC Bytes & Insights
Ameet Khabra and the Hop Skip Media team share PPC case observations, Google Ads commentary and campaign planning ideas.
Why read it
Useful for practitioners comparing account experiences, questioning automation settings and planning seasonal campaigns.
Audience & score
Public snapshotA snapshot of audience size and visible engagement, not a quality rating.
Where the figures come from
Checked on the official newsletter page. Counts can change.
Newsletter-specific subscriber count from the series header. The article footer displays 1,848 subscribers, which conflicts with the header and is not used. Exact publication dates, total reactions and comments were read on the three newest articles. The 3 September article explicitly displays no comments; zero is observed rather than inferred.
How the newsletter score works
An audience and engagement snapshot, not a quality rating. Version 1 combines up to 25 points for subscriber reach and 75 for visible edition engagement.
Reach = 25 × min(1, log₁₀(1 + subscribers) ÷ log₁₀(100,001)). Engagement = 75 × min(1, median((reactions + comments) ÷ subscribers) ÷ 1%). Add the components and round once. Reach is capped at 100,000 subscribers; median engagement is capped at 1%.
We use the three newest observed editions, all published within 90 days, and a snapshot no more than 30 days old. Missing or approximate counts, or missing exact dates, prevent a score. An edition under seven days old marks the score as an early snapshot. A viral edition alone cannot determine the median.
LinkedIn reactions include likes and other reactions. Comments can include replies; these are not unique readers, email opens or click rates. The denominator is the subscriber count when checked, not at publication. Age, cadence and platform differences limit comparisons. Private email metrics are not inferred.
Example: 10,000 subscribers and three editions with 40, 50 and 500 total reactions plus comments give a median of 0.5%: 20 reach points + 37.5 engagement points = 58 / 100. Choose alphabetical, score or subscriber order. These scores add no contributor leaderboard points.
Explore the editions
Read an edition at the source before you subscribe. Engagement figures are dated public snapshots.
- 01
AI Max vs RSA | Plan BFCM the Hop Skip way
Compares a small AI Max test with a standard Search campaign, explicitly limits the conclusions, gathers community observations and promotes Black Friday planning and an agency checklist.
8 reactions1 commentChecked - 02
😡 r/PPC gets mad at Optimisation Score
Discusses GA4 retention, practitioner objections to blindly following Optimisation Score recommendations, and tagging updates. Distinguishes community opinion from policy and promotes an agency checklist.
15 reactions0 commentsChecked - 03
Is Google Ads learning from the wrong leads?
Discusses using qualified lead and CRM outcomes as conversion signals, shares practitioner views of AI workflows, and summarises Meta advertising technology. Includes agency resource promotion.
15 reactions4 commentsChecked
About these edition previews
Three newest editions from the official series. Exact dates, content and engagement were observed on the linked issues; publication does not endorse all underlying platform claims.
Reading notes checked .
Our notes & sources
Published under Ameet Khabra. The latest issue signs off as Ameet in spirit, mainly Shivansh, and the Hop Skip Media team. Personal writing attribution remains unresolved, so no individual author credit is proposed. The issue labels its small AI Max example and community reports as limited evidence, and promotes the agency’s resources and social series.
Source checked .
Contributor credit
This newsletter is listed under its publisher. Personal leaderboard credit is added only when a named author is verified.
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