I tried a lot of ways to enable the Vignette ads on the Next JS site before I realized that there always was a block for them in the inspector, it just never change "display: none" to "display: block".

<ins class="adsbygoogle adsbygoogle-noablate" style="display: none !important; width: 100vw !important; height: 100vh !important; inset: 0px auto auto 0px !important; clear: none !important; float: none !important; margin: 0px !important; max-height: none !important; max-width: none !important; opacity: 1 !important; overflow: visible !important; padding: 0px !important; position: fixed !important; vertical-align: baseline !important; visibility: visible !important; z-index: 2147483647 !important; background: transparent !important;" data-adsbygoogle-status="done" aria-hidden="true" data-vignette-loaded="true" data-ad-status="filled"></ins> 

How i saw on other sites this ins appear and after some interaction with the site display automatically changed from none to block and Vignette Ads appear. If I manually change in the inspector display to block - Vignette will appear immediately, but automatically never.

Please can anyone know a possible solution?

I'm trying to convert the below PQL query (Publisher's Query Language) in to JSON format.

StatementBuilder statementBuilder = new StatementBuilder()   .where("CUSTOM_CRITERIA LIKE '%permutive'") .withBindVariableValue("orderId", orderId); 

Can any one help with this ? Thanks in advance !

I am looking for a way to get number of clicks per day between START_DATE and END_DATE. The documentation for Google ADS v10 is huge and so far I'm unable to get clicks per day.

NOTE: I'm able to get total number of clicks BETWEEN DATES but I need clicks / day. Could anyone help.

we are working with Google Big Query data with Google Ads native connector which transfers data from Google Ads to Google Big Query. We see all data about products in Smart Shopping/Shopping campaigns, but we have no data about products in Performance Max campaigns in Big Query.

Does anyone knows how to get data from these campaigns to Google Big Query or when it will be available?

Thank you

Disclaimer...I'm a Noob

I am writing a query from CampaignStats table that aggregates based on a stripped campaign label. The query returns correct values for all metrics except Impressions and Cost. No matter what I've tried so far, this figure still doesn't match. Here are the totals for two of my campaigns from yesterday (June 17th):

CampaignStats:

Date    label   Impressions cost    clicks  avg_cpc 6/17/2022   sat_brand   2687    140.472666  15  9.3648444 

CampaignBasicStats:

Date    label   Impressions cost    clicks  avg_cpc 6/17/2022   sat_brand   699 152.620961  15  10.17473073 

Utilizing the CampaignBasicStats table, I receive aggregated totals for all metrics that match the UI, including Impressions and Cost. The issue is there are metrics in CampaignStats and getting some illumination/information on what I may not be doing correct, will help in the future.

I did a JOIN with the Campaign table originally; the below query refers to a permanent table that I pulled out separately in case this was a cause of the discrepancy.

Code Below:

  SELECT     cs.Date,      EXTRACT(ISOWEEK FROM cs.DATE) AS isoweek,      cl.label,      (SUM(cs.Cost) / 1000000) AS cost,     SUM(cs.Clicks) AS clicks,      CASE WHEN SUM(Clicks)=0 OR SUM(Cost)=0 THEN 0 ELSE     ((SUM(Cost)/SUM(Clicks))/1000000) END AS avg_cpc,      SUM(cs.Impressions) AS Impressions,      CASE WHEN SUM(cs.Clicks)=0 THEN 0 ELSE     (SUM(cs.Clicks)/SUM(cs.Impressions)) END AS ctr,      SUM(cs.Conversions) as conversions,      CASE WHEN SUM(cs.Conversions)=0 OR SUM(cs.Clicks)=0 THEN 0 ELSE     (SUM(cs.Conversions)/SUM(cs.Clicks)) END AS cvr,      CASE WHEN SUM(cs.Conversions)=0 OR SUM(cs.Cost)=0 THEN 0 ELSE     (SUM(cs.Cost)/SUM(cs.Conversions))/1000000 END AS cost_per_conversion FROM    `bold-quanta-######.######_google_ads_dataset.CampaignStats_##########` cs JOIN   `bold-quanta-######.queried_permanent_tables.process_campaign_labels` cl ON   cs.CampaignId = cl.CampaignId GROUP BY   1, 2, 3