eSellerHub Insights — 16 Mar to 21 May 2026

01Executive summary

Active users

2,903

2,884 new users

Sessions

3,325

↓ -60.2% vs previous

Avg engagement

12.5s

↓ -58.4% vs previous

Search clicks

285

256,796 impressions

02Current read

The new period is cleaner, but commercially weaker.

Traffic fell to 2,903 active users and engagement dropped to 12.5s. That makes this less noisy than the original period, but not stronger.

GA4 still cannot be treated as a trusted lead source report.

There are 39 key events and 22 thank-you page views, but conversion instrumentation still needs validation before leadership can treat this as real inbound performance.

Search visibility exists, but click-through is materially underperforming.

Search Console shows 256,796 impressions but only 285 clicks, a 0.11% CTR.

AI discovery is visible, but not yet a meaningful traffic engine.

AI referral share rose from 0.84% to 1.47% of sessions, but absolute AI sessions fell from 70 to 49.

03Operating priorities

Fix measurement first

Separate real form submissions, thank-you page events, internal tests and campaign events. This is still the blocker.

Repair CTR leakage

High-impression pages and queries are not earning clicks. Titles, metas and page intent alignment need focused work.

Build UK/EU audience quality

Traffic and LinkedIn audience still skew away from the target commercial market.

01Movement since previous report

Metric	16 Dec 2025 – 15 Mar 2026	16 Mar 2026 – 21 May 2026	Change
Active users	4,326	2,903	↓ -32.9%
Sessions	8,357	3,325	↓ -60.2%
Avg engagement	30s	12.5s	↓ -58.4%
Search Console clicks	534	285	↓ -46.6%
Search impressions	275,002	256,796	↓ -6.6%
UK organic clicks	48	29	↓ -39.6%
LinkedIn impressions	8,223	3,259	↓ -60.4%
LinkedIn website sessions	42	22	↓ -47.6%
AI referral sessions	70	49	↓ -30.0%
AI referral share	0.84%	1.47%	↑ +75.9% share

02Interpretation

Traffic volume contracted sharply.

Sessions fell from 8,357 to 3,325. This likely reflects reduced campaign/noise volume and weaker acquisition momentum.

Engagement deteriorated, not just volume.

Average engagement fell from 30s to 12.5s. That is the strongest negative movement in GA4.

AI referral share improved, but absolute AI traffic did not.

AI referrals fell from 70 to 49, but share rose because total sessions fell faster.

LinkedIn output became smaller.

LinkedIn impressions fell from 8,223 to 3,259 and posts fell from 23 to 18.

01Acquisition mix

Direct / unattributed2,445

Still the dominant bucket; attribution is not clean enough.

Google organic524

Main organic acquisition source.

Bing organic133

Secondary organic source.

AI referrals49

ChatGPT, Gemini, Claude and Perplexity combined.

LinkedIn22

Low traffic relative to content output.

Facebook35

Small referral layer.

Email / mail28

Mixed mail and announcement traffic.

Other referrals89

Long-tail referral sources.

Direct / unattributed still dominates.

2,445 of 3,325 sessions sit in direct/unattributed. That limits commercial learning.

Organic acquisition is meaningful but softer than before.

Google + Bing organic sessions total 657 before long-tail organic.

LinkedIn traffic remains weak.

LinkedIn produced 22 GA4 sessions against 3,259 LinkedIn impressions.

02Geographic signal

Target city users

162

5.6% of active users

Top city

Singapore

933 users

UK city: London

Target-market signal

Global skew

High

Singapore + India/US infra traffic lead

Top cities

Singapore933

Active users

Ahmedabad106

Active users

Ashburn56

Active users

Amsterdam50

Active users

Boardman50

Active users

Shanghai33

Active users

The Dalles28

Active users

Rajkot27

Active users

Bengaluru26

Active users

London26

Active users

New York21

Active users

Frankfurt am Main17

Active users

UK/EU target-market cities detected

Amsterdam50

Active users

London26

Active users

Frankfurt am Main17

Active users

Dublin14

Active users

Paris12

Active users

Prague11

Active users

Warsaw10

Active users

Milan5

Active users

Berlin4

Active users

Manchester3

Active users

Barcelona2

Active users

Birmingham2

Active users

01Top GA4 pages

Page title	Views	Active users	Bounce rate	Events
Custom eCommerce Software for 3PLs, D2C & Multichannel Sellers	924	621	61.5%	2,949
eCommerce & 3PL Software UK \| Scale Without SaaS Limits	296	146	63.7%	866
eCommerce & 3PL Operations Blog UK \| eSellerHub Insights	155	104	53.5%	500
Page not found - eSellerHub	151	119	79.7%	474
Amazon SP-API 2026 Fees: How Sellers Can Reduce API Costs	105	90	65.7%	350
Custom eCommerce Software for UK 3PLs & Multichannel Sellers	101	53	42.2%	290
Contact eSellerHub \| Let's Build Smarter eCommerce Solutions	87	68	24.1%	260
eSellerHub: Custom Backend Systems for eCommerce, 3PL & Multicha…	72	58	56.7%	219
UK Blogs Archive - eSellerHub	70	57	55.7%	241
TikTok Shop Integration Guide for Online Sellers	64	60	68.9%	221
Blogs Archive - eSellerHub	58	29	47.4%	153
Amazon AWD vs FBA (2025): Strategy, Pricing, Pros/Cons	56	51	75.9%	189
TikTok Shop API Integration for Online Stores \| eSellerHub	49	43	73.9%	164
Contact eSellerHub UK \| Free Consultation for eCommerce Solutions	40	27	37.9%	120
Stop Counterfeit Products on Amazon: A Practical Guide	40	31	76.9%	113

02Content issues

The 404 problem is smaller but still visible.

The 404 page generated 151 views, down from 858 in the previous period.

Contact interest exists but is not yet reliable lead intelligence.

Contact pages generated 141 views and the thank-you page generated 22 views. Treat this as directional until GA4 events are fixed.

Engagement is the main content weakness.

At 12.5s average engagement, pages are not yet behaving like deep authority assets.

01Search Console summary

Clicks

285

↓ -46.6% vs previous

Impressions

256,796

↓ -6.6% vs previous

CTR

0.11%

Previous 0.19%

Avg position

28.8

Weighted by impressions

02Top queries

Query	Clicks	Impressions	CTR	Position
esellerhub	41	83	49.4%	1.0
eseller store app	3	215	1.4%	6.0
eseller	2	243	0.82%	6.9
e seller	2	128	1.56%	8.1
tiktok shop api integration	2	96	2.08%	15.8
amazon seller api pricing	2	61	3.28%	5.5
dropshipping	1	1,288	0.08%	23.2
shopify integration services	1	744	0.13%	22.7
top 10 online business apps	1	317	0.32%	9.3
amazon seller api	1	314	0.32%	23.3

03Ranking opportunities

Page	Impressions	Clicks	CTR	Position
blog/amazon-sp-api-fee-delay-announcement	2,361	6	0.25%	6.4
blog/amazon-sp-api-fees-update-2026	33,902	30	0.09%	6.9
blog/sp-api-pricing-2026-free-vs-paid-tools-costs	2,755	2	0.07%	7.1
blog/how-sp-api-changes-affect-tool-pricing-2026	8,946	2	0.02%	7.6
blog/amazon-sp-api-pricing-update-2026-for-sellers	1,906	0	0%	8.0
blog/3pl-wms-implementation-challenges	2,433	1	0.04%	8.6
blog/amazon-awd-vs-fba	6,781	11	0.16%	9.0
blog/amazon-product-listing-api-update	1,995	12	0.6%	9.7
/	3,642	92	2.53%	9.8
blog/3pl-wms-trends	3,337	0	0%	10.2

04Zero / low-click pages

Page	Impressions	Clicks	CTR	Position
blog/amazon-sp-api-fees-update-2026	33,902	30	0.09%	6.9
3pl-software	20,888	2	0.01%	44.3
purchase-order-management-software	16,829	0	0%	43.9
custom-ecommerce-software	13,362	4	0.03%	38.2
blog/how-to-stop-counterfeit-products-on-amazon	10,819	2	0.02%	32.8
blog/how-sp-api-changes-affect-tool-pricing-2026	8,946	2	0.02%	7.6
amazon-repricer	8,501	3	0.04%	50.1
blog/omnichannel-vs-multichannel	8,181	0	0%	71.6
multichannel-ecommerce-software	6,851	2	0.03%	40.4
amazon-inventory-management-software	4,014	0	0%	43.0

05Zero-click query opportunities

Query	Impressions	CTR	Position
best ai software for inventory management picking pack…	51	0%	1.1
build custom 3pl software	329	0%	1.6
dashboard development	1,012	0%	1.8
best ai software for inventory management order proces…	83	0%	2.0
amazon product advertising api pricing 2026	64	0%	2.7
what implementation challenges do 3pl users report mos…	65	0%	3.0
amazon api	161	0%	3.2
benefits of ecommerce reporting software	131	0%	3.4
ecommerce dashboard development	79	0%	3.8
best ai software for inventory management order proces…	69	0%	3.8
custom 3pl software solutions	329	0%	4.6
what are the benefits of ecommerce reporting software?	66	0%	4.6

06Countries

Country	Clicks	Impressions	CTR	Position
India	122	10,608	1.15%	26.5
United States	65	165,520	0.04%	28.6
United Kingdom	29	19,010	0.15%	41.8
Canada	8	5,288	0.15%	21.7
Spain	5	2,032	0.25%	23.9
France	5	1,657	0.3%	17.7
Italy	5	1,369	0.37%	20.3
Pakistan	4	722	0.55%	11.1
Germany	3	6,047	0.05%	38.2
Australia	3	4,602	0.07%	39.8

07Devices

Device	Clicks	Impressions	CTR	Position
Desktop	198	224,162	0.09%	27.3
Mobile	87	32,143	0.27%	39.0
Tablet	0	491	0%	39.7

01LinkedIn summary

Post impressions

3,259

18 posts

Total clicks

154

4.7% CTR

Engagement rate

8.3%

Clicks + reactions + comments + reposts

Page visitors

106

↓ -71.9% vs previous

02Audience fit

Audience remains materially misaligned with UK/EU targeting.

Only 8 listed followers are clearly UK/EU, while India/Pakistan account for 198 listed followers.

Content CTR is still strong relative to traffic generated.

LinkedIn produced 154 content clicks but only 22 LinkedIn sessions in GA4. CTA and landing path tracking need tightening.

03Top posts

Post	Impressions	Clicks	CTR	Engagement
𝐓𝐡𝐞 𝟑𝟎-𝐦𝐢𝐧𝐮𝐭𝐞 𝐥𝐚𝐠 𝐢𝐬 𝐜𝐨𝐬𝐭𝐢𝐧𝐠 𝐲𝐨𝐮 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤. 💸 Storage isn’t w…	132	26	19.7%	27.3%
𝐒𝐭𝐨𝐩 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐞𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐞𝐦𝐩𝐢𝐫𝐞 𝐨𝐧 𝐫𝐞𝐧𝐭𝐞𝐝 𝐥𝐚𝐧𝐝. ⚠️ For scaling mult…	86	19	22.1%	27.9%
𝐘𝐨𝐮𝐫 𝐛𝐫𝐚𝐧𝐝 𝐭𝐨𝐨𝐤 𝐲𝐞𝐚𝐫𝐬 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝. 𝐃𝐨𝐧'𝐭 𝐥𝐞𝐭 𝐚 𝐜𝐨𝐮𝐧𝐭𝐞𝐫𝐟𝐞𝐢𝐭𝐞𝐫 𝐝𝐞𝐬𝐭𝐫𝐨𝐲 𝐢𝐭 𝐢𝐧…	192	12	6.2%	13.5%
𝐖𝐡𝐞𝐧 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐥𝐢𝐯𝐞𝐬 𝐢𝐧 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐩𝐥𝐚𝐜𝐞𝐬, 𝐲𝐨𝐮𝐫 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐚𝐥𝐰𝐚𝐲𝐬 𝐜𝐨𝐦𝐞 𝐚 …	199	10	5.0%	8.5%
𝐀 𝟏𝟎-𝐦𝐢𝐧𝐮𝐭𝐞 𝐢𝐧𝐛𝐨𝐮𝐧𝐝 𝐝𝐞𝐥𝐚𝐲 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐬𝐭𝐚𝐲 𝟏𝟎 𝐦𝐢𝐧𝐮𝐭𝐞𝐬. It compounds through…	189	9	4.8%	8.5%
𝐀𝐦𝐚𝐳𝐨𝐧 𝐣𝐮𝐬𝐭 𝐝𝐞𝐥𝐚𝐲𝐞𝐝 𝐚 $𝟏,𝟒𝟎𝟎 𝐒𝐏 𝐀𝐏𝐈 𝐟𝐞𝐞, 𝐚𝐧𝐝 𝐬𝐨𝐦𝐞𝐡𝐨𝐰 𝐭𝐡𝐚𝐭 𝐢𝐬 𝐬𝐭𝐢𝐥𝐥 𝐛𝐚𝐝 …	176	9	5.1%	9.1%
𝐀𝐝𝐝𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐭𝐨𝐨𝐥𝐬 𝐭𝐨 𝐟𝐢𝐱 𝐬𝐲𝐧𝐜 𝐢𝐬𝐬𝐮𝐞𝐬 𝐨𝐟𝐭𝐞𝐧 𝐜𝐫𝐞𝐚𝐭𝐞𝐬 𝐦𝐨𝐫𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 The …	188	7	3.7%	8.0%
🚨 𝐁𝐢𝐠 𝐮𝐩𝐝𝐚𝐭𝐞 𝐟𝐨𝐫 𝐀𝐦𝐚𝐳𝐨𝐧 𝐬𝐞𝐥𝐥𝐞𝐫𝐬 𝐚𝐧𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬! Amazon has officially c…	63	7	11.1%	30.2%

04Follower locations

Location	Followers
Greater Ahmedabad Area, India	109
Greater Surat Area, India	8
Lahore, Pakistan	8
Mumbai Metropolitan Region, India	7
Greater Indore Area, India	6
Greater Vadodara Area, India	5
Pune/Pimpri-Chinchwad Area, India	4
Greater Rajkot Area, India	4
San Francisco Bay Area	4
Noida, India	3
Greater Nagpur Area, India	3
Greater Delhi Area, India	3

05Visitor locations

Location	Views
Greater Ahmedabad Area, India	89
San Francisco Bay Area	10
Greater Edmonton Metropolitan Area, Canada	7

06Job functions

Job function	Followers
Business Development	53
Engineering	37
Sales	25
Operations	23
Marketing	21
Arts and Design	14
Human Resources	13
Information Technology	10

07Industries

Industry	Followers
IT Services and IT Consulting	68
IT System Custom Software Development	33
Software Development	30
Advertising Services	18
Business Consulting and Services	15
Retail	14
Technology, Information and Internet	12
Transportation, Logistics, Supply Chain and Storage	6

01Strategic recommendation

1. Instrument the funnel

Treat this as the first priority. Fix form_submit, thank-you page, UTMs, internal exclusions and real lead attribution.

2. Rework search snippets

The fastest opportunity is not more content. It is improving CTR on pages already earning impressions.

3. Build target-market distribution

LinkedIn output must be paired with UK/EU audience building. Otherwise content resonance is happening in the wrong room.

0290-day action plan

Week 1–2: GA4 cleanup.

Create separate validated conversion events for real form submissions, thank-you page visits and campaign clicks. Exclude internal/testing traffic.

Week 2–4: CTR repair sprint.

Rewrite titles and metas for high-impression/low-CTR pages, starting with Amazon SP-API, 3PL software and custom eCommerce software pages.

Month 2: UK/EU landing path.

Create sharper UK/EU entry points around multichannel operations, 3PL software and Amazon/SP-API operational visibility.

Month 3: authority compounding.

Use LinkedIn posts, newsletters and report snippets to support the pages already receiving search impressions.

01GA4 fix status

Key events

Requires validation

Contact page views

141

Directional only

Thank-you page views

Possible submissions

Estimated abandon

84.4%

Contact views vs thank-you views

02What improved vs original

404 noise reduced.

404 page views fell from 858 to 151.

The dataset is less inflated.

Active users fell from 4,326 to 2,903 and sessions fell from 8,357 to 3,325.

03What did not improve enough

Conversion tracking remains the main blocker.

GA4 still does not cleanly distinguish real inbound enquiries from form views, thank-you views, tests and internal behaviour.

Attribution remains too direct-heavy.

2,445 sessions are direct/unattributed. UTM discipline and campaign tagging are still required.

Engagement worsened.

Average engagement dropped from 30s to 12.5s.

01Files used

Source	File / export	Used for
GA4	GA4.csv	Top-line users, engagement, pages, sources, cities, contact/thank-you indicators
Google Search Console	Chart.csv, Queries.csv, Pages.csv, Countries.csv, Devices.csv	Clicks, impressions, CTR, position, query/page opportunities
LinkedIn Analytics	Followers export, Visitors export, Content export	Follower fit, visitor locations, post performance, LinkedIn traffic quality
Previous baseline	Original Dec 16 2025 – Mar 15 2026 dashboard values	Movement comparison only

02Assumptions

PageSpeed was not refreshed because no new PageSpeed export was included. GA4 device split was not included in the supplied GA4 CSV, so Search Console device data is used in the Search Console tab only.