ACCOUNT PULSE / Paid Media Analytics
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Data source: Google Ads Editor exports · — campaigns analyzed
Client Reporting Sample

A higher-education lead-gen account, compared across my tenure so far.

An interactive breakdown of a UAE-based higher-education client's Google Ads account — Search, Performance Max, Smart and Display — comparing account-export data from two years before my tenure (Sep 2021–Sep 2023) against my time managing the account so far (Sep 2023–Jul 2026). Client and destination details have been generalized for confidentiality; the performance figures are real.

Baseline Window
Sep 2021 – Sep 2023
During My Tenure
Sep 2023 – Jul 2026
Channels
Search · PMax · Smart · Display
Prepared by
Muhammad Shahzeb
All channels
Search
Performance Max
Smart
Display

Comparative Analysis

comparing the period before Sep 2023 to my tenure since, normalized per month

Spend by Channel

share of total spend

Top Campaigns by Spend

top campaigns by spend

Weekly Rhythm

clicks by day of week

Top Locations by Spend

geographic concentration

Spend by Program

share of total spend

Top Ad Sets by Spend

generalized ad set / program names

Click-Through Rate by Program

link CTR — delivery metric, not attribution-dependent

Note: Meta's on-platform "Leads" metric is excluded from this dashboard. Meta changed its attribution windows on the Ads Insights API in January 2026, which can retroactively understate conversions recorded for older periods — so historical lead counts pulled today may not reflect what was actually reported at the time. Reach, impressions, clicks and CTR shown here are raw delivery metrics unaffected by that change.

Comparative Analysis

comparing the period before Sep 2023 to my tenure since, normalized per month

Note: unlike the other channels, this isn't a straightforward growth story. Both totals here are independently verified against Snapchat Ads Manager's own summary view, not just CSV exports. Efficiency improved — CTR up, CPC down — but spend, impressions and clicks per month all dropped substantially compared to the earlier period.

Spend by Campaign

generalized campaign names

Campaign Detail

all campaigns in this account
Campaign Spend (AED) Impressions Clicks CTR Avg. CPC Landing Page Views Cost / LPV

Note: this account runs three Snapchat campaigns, a much smaller allocation than Google or Meta. On-platform "Native Leads" reported 0 across all three — lead tracking doesn't appear to be configured for this channel, so it's excluded rather than shown as a misleading zero.

Comparative Analysis

comparing the period before Sep 2023 to my tenure since, normalized per active month

Note: both periods have real gaps where the campaign wasn't spending (e.g. Aug–Dec 2022, most of 2026). Volume metrics below are normalized per active month — a month where the campaign actually spent — rather than per calendar month, so the comparison reflects performance while running, not diluted by dormant stretches.

Monthly Performance

Sep 2023 – May 2025

Note: this account ran one steady always-on engagement/awareness campaign promoting the MBA program at a fixed ~AED 300/month, rather than a scaled lead-gen push like Google or Meta — LinkedIn's own CPMs make it a poor fit for high-volume click campaigns at this budget level. Two other ad sets in the account (a CCL-tagged InMail ad and an ACCA conversion ad) never spent and are excluded.

Audience by Industry

who saw the ads, by employer industry

Audience by Seniority

who saw the ads, by career stage

Comparative Analysis

organic reach across Facebook, Instagram, LinkedIn, TikTok, X & YouTube

Not every number here is a win, and this dashboard won't pretend otherwise: Facebook's page engagement rate specifically fell 77.6% to 0.29%, even as its reach and impressions grew — a much bigger, faster-growing audience that engages proportionally less. X (Twitter) declined on most metrics — likes, retweets, engagement rate, and impressions all down, with a net loss of followers in the after period. Source: Hootsuite cross-network report, generated Aug 3, 2026. Handles, post captions, and individual staff names are excluded — only aggregate performance figures are shown.

New Followers by Network

after period, with % change vs. before

Engagement Rate by Network

after period, with % change vs. before

Post Reach by Network

after period, with % change vs. before

Instagram Reach by Format

Reels driving the format mix

Case Study — How the Numbers Moved

the work behind the comparative numbers

The account I inherited in September 2023 was already spending — CTR and conversion rate were both low relative to the media budget, which usually points to a mix of pre-click targeting waste and a weak post-click experience. Over the following months I worked both sides of that equation, across Search and social.

01

Website & Landing Page Overhaul

  • Site-wide speed improvements to cut load time and bounce on paid traffic
  • Rebuilt landing page content — replaced dense, heavy paragraphs with short copy blocks and bulleted, scannable information
  • Refreshed page content to better match what each ad and keyword was actually promising
02

Campaign & Audience Restructuring

  • Consolidated a sprawling, overlapping campaign structure down to a leaner, more manageable set
  • Narrowed audience targeting to cut spend going to low-intent users
  • Shifted budget toward better-performing formats, including a move into Performance Max
03

Keyword Refinement

  • Audited and refined keyword lists against actual search-term data
  • Tightened match types and trimmed spend-draining, low-relevance terms

Note: some of the conversion-rate gain also reflects a channel mix shift — Performance Max didn't exist on this account pre-2023 and now carries a large share of volume — alongside the optimization work above.