Facebook-Ad generated

online survey

with Polish migrants in the UK


Aneta Piekut

OBM BASE Seminar

24 luty 2022

RMarkdown setup

## Global options
knitr::opts_chunk$set(echo=TRUE,
               cache=TRUE,
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# Libraries
library(readxl)
library(readr)
library(ggplot2)
library(dplyr)
library(knitr)
library(ggthemes)
library(tidyverse)
library(kableExtra)

Agenda

  • About the project and the survey
    • sampling strategy
    • online survey set-up

  • Facebook Ad Campaign
    • sampling via the FB Ads
    • ad performance over time and by adset
    • Fb Ads precision

  • Sample quality assessment (work in progress)
    • Eligibility to participate
    • Reluctant vs. Engaged respondents

  • Key lessons learnt

1


The project on

Polish essential workers

in the UK


The study

The project Migrant Essential Workers: November 2020-March 2022

Project logo

The team

  • Prof. Sharon Wright (PI, Glasgow)
  • Dr Anna Gawlewicz (Glasgow)
  • Dr Kasia Narkowicz (Middlesex)
  • Dr Aneta Piekut (Sheffield)
  • Dr Paulina Trevena (Glasgow)

Uni logos

  • Partners England: Centrala, POSK Polish Centre
  • Partners Scotland: Fife Migrants Forum, PKAVS

Population of study

Polish essential workers in the UK


  • were adult Polish people (aged 18+, as of survey day)

AND

  • who have worked in the essential work sectors in the UK during the Covid-19 pandemic (since March 2020, until February/March 2021)

AND

  • lived in the UK for at least three months in 2020.

Population of study

Polish essential workers in the UK

As essential work we understand the type of work that is essential for keeping British society and economy running during the pandemic. Hence, essential workers are for example health and care workers, staff maintaining public safety (e.g. police, fire service) or delivering pivotal services (e.g. public transport, child care for essential workers, food production and sale, product delivery), among others. In the study, we are interested in Polish essential workers in the UK who are either formally (self-)employed or work informally (e.g. cash-in hand work).

UK Government, 8 January 2021 here
Scottish Government, 20 January 2021 here

Project so far

  • Aug 21: Fieldwork finished
    • ~1,100 responses to survey incl. 372 to open Q (Feb/March 2021)
    • 40 migrant + 10 expert interviews

  • Oct 21: Transcription complete
    • Since Nov 2021: Ongoing analysis

  • Impact work:
    • Provided evidence on vaccine hesitancy (Scot. Gov Vaccine Inclusive Steering Group & Scot. Parl. Covid-19 Recovery Committee)
    • Materials co-produced with partners: policy rescommendation, toolkit and resources for migrants
    • Art exhibition (Sept 21: Secured £20k for spin-off project)

2



The online survey


Survey fieldwork

  • Convenience sampling - 22 February - 12 April (7 weeks)

    • via partner organisation (POSK + Polish Embassy, Polish Expats Association, PKAVS Minority Communities Hub, FIFE Migrants)
    • via our social media channels (Facebook, Twitter)

  • Facebook Ad Campaign - 27 February - 26 March (4 weeks)

Weeks 1 2 3 4 5 6 7 8
W/c 22/02 01/03 08/03 15/03 22/03 29/03 05/04 12/04
All - — —— —— —— —— —— —— -
FB-ad ✓ ✓ ✓ ✓

Survey: online mode - Qualtrics specs

Survey sample by recruitment channel (N/%)

Screening for eligibility (1)

Screening for eligibility (2)

  • Not eligible if ‘None of the above’ selected

Sector question

3


Sampling
with
the Facebook Ad Campaign


Facebook Ad Campaign: set up

  • Targeted population - Polish people living in the UK:

    • Geolocation: UK & Behaviour: Lived in Poland (past)
    • Aged 18-65 (‘working age’)
    • Targeted men only in some weeks
  • Buying type: auction

  • Campaign objective: Traffic/Clicks (not Reach or Conversion - FB Pixel not used)

  • Budget: total spent on Fb ads - £1,718

    • Extra costs for a marketing company /intermediary - Uni. of Glasgow requirement (+ £460)
    • Started with £1,200 (£200 per ad set)
    • £518 added in week 4, most into non-England ad sets

Facebook Ad Campaign: ad sets (1)

Ad sets

Facebook Ad Campaign: ad sets (2)

  • Annual Population Survey (2019; N=2,271; ONS 2020) used to establish boundaries of strata / ad sets

    • For 16-64 years old, but all industries (not possible to distinguish ‘essential workers’)
    • Data one year old (+ 1 year for calculations)
    • Aged 18-31 (33.6%)
    • Aged 32-39 (35.1%)
    • 40 years old and more (31.3%)

  • Why gender was not used as a strata / ad set?

    • Potentially too many as sets? 6 x 2 = 12 - budget would be spread too thinly?
    • No prior knowledge of gender split
    • Prioritized increasing sample size in Scotland

Facebook Ad Campaign: one ad

One ad example
  • Ad text:

    • Are you a Pole [flag] living in the UK [flag]? Tell us how Covid affected your life

    • Within a pic:
      • ’Are you from Poland? Migration, Covid, Work (selected industries)
      • ‘Win a £100 or £50 voucher’

    • Take part in a study - 15-minute survey

    • Carousel with 5 pictures
      • 3 ads, with different lead picture

        .

Facebook Ad Campaign: pictures

  • Lead pictures for 3 ads within each ad set: 1, 3 and 5

Key takeaways & reflections

  • Campaign objective: traffic/clicks not conversions

  • Indirect targeting and inviting all Poles pros & cons

    • some people did not see themselves as ‘essential workers’, while they were, hence indirect targeting
  • Sector screening question pros & cons

    • a few who defined themselves as ‘essential workers’ struggled to select a sector
  • Some checked the questionnaire first, cookies registered as ‘already participated’, and they could not fill in when clicked the link for the second time

  • Questions?

4


Facebook Ad Campaign performance
overall and by adset


FB population: potential (P) vs. actual (A) reach

  • Estimated population of Polish migrants aged 18-64 in the UK 411,000:

    • 350K in England,
    • 61K in Scotland, Northern Ireland, Wales & Crown islands.

  • Our Fb Ad Campaign ‘reached’ 26% of Facebook users Polish migrants

Table 1. Facebook Ad Campaing reach - estimated vs. actual (budget-determined)
Ad set Reach-Potential Est. Daily reach Est. Daily clicks Reach-Actual Reach A/P (%)
1 England - 18-31 110000 1500-4300 7-25 20456 18.6
2 England - 32-39 120000 1700-5000 11-30 22424 18.7
3 England - 40+ 120000 1700-4900 10-28 23871 19.9
Total England 350000 NA NA 66751 19.1
4 Rest of the UK - 18-31 19000 1000-3000 6-23 12408 65.3
5 Rest of the UK - 32-39 21000 1100-3100 5-21 13681 65.1
6 Rest of the UK - 40+ 21000 943-2700 5-22 14045 66.9
Total Rest of the UK 61000 NA NA 40134 65.8
TOTAL 411000 NA NA 106885 26.0

** Note: Total Actual Reach reported by Facebook was 102,434

Facebook Ad Campaign performance

  • ‘Facebook scrollers’ vs. ‘Ad clickers’ vs. ‘Survey respondents’ (Neundorf & Öztürk 2021)

    • Reach & Impressions / ‘Facebook scrollers’ - saw information, but not acted

    • Clicks on the ad / Traffic to survey website - demostrated some interest

    • Conversions - consent and started the survey:

      • but not eligible (eliminated via screening questions)
      • eligible (PL essential worker), but not engaged the survey (>40% nonresponse)
      • eligible (PL essential worker) and survey finished –> valid response

FB reach -> impressions -> clicks -> sample

  • Much smaller population in the ‘Rest of the UK’ - more aggressive and expensive sampling

Table 1. Facebook Ad Campaing stats: reach, impressions, clicks & costs
Adset Reach [R] Impressions (I) Frequency (I/R) Link clicks Unique link clicks Amount spent (GBP) Valid FB surveys Cost per 1 valid survey (GDP)
1 England - 18-31 20456 90855 4.44 735 667 225.00 177 1.27
2 England - 32-39 22424 86649 3.86 673 606 225.00 153 1.47
3 England - 40+ 23871 89413 3.75 764 672 225.00 110 2.05
Total England 66751 266917 4.00 2172 1945 675.00 440 1.53
4 Rest of the UK - 18-31 12408 119309 9.62 596 528 347.66 109 3.19
5 Rest of the UK - 32-39 13681 119054 8.70 500 446 347.66 97 3.58
6 Rest of the UK - 40+ 14045 127318 9.07 631 555 347.66 89 3.91
Total Rest of the UK 40134 365681 9.11 1727 1529 1042.98 295 3.54
TOTAL 106885 632598 6.18 3899 3382 1717.98 735 2.34

FB reach & clicks by device type

  • More clicks through mobile app across all age groups - 81% all clicks via the Fb app

Table 1. Reach and clicks by adset and device type
Ad set . Reach…3 Reach…4 Reach…5 Clicks…6 Clicks…7 Clicks…8
DEVICE TYPE N/% Desktop Mobile app Mobile web Desktop Mobile app Mobile web
1 England - 18-31 N 6564 14856 872 120 590 25
1 England - 18-31 % 29.4% 66.6% 3.9% 16.3% 80.3% 3.4%
2 England - 32-39 N 4784 17680 1248 99 530 44
2 England - 32-39 % 20.2% 74.6% 5.3% 14.7% 78.8% 6.5%
3 England - 40+ N 5464 19096 784 109 636 19
3 England - 40+ % 21.6% 75.3% 3.1% 14.3% 83.2% 2.5%
4 Rest of the UK - 18-31 N 2848 10676 688 90 486 20
4 Rest of the UK - 18-31 % 20% 75.1% 4.8% 15.1% 81.5% 3.4%
5 Rest of the UK - 32-39 N 1896 12237 916 69 405 26
5 Rest of the UK - 32-39 % 12.6% 81.3% 6.1% 13.8% 81% 5.2%
6 Rest of the UK - 40+ N 2668 12249 600 106 504 21
6 Rest of the UK - 40+ % 17.2% 78.9% 3.9% 16.8% 79.9% 3.3%
TOTAL N 24224 86794 5108 593 3151 155
TOTAL % 20.9% 74.7% 4.4% 15.2% 80.8% 4%

FB ad precision

  • We can check the match in terms of age and region in the UK in the final, valid sample (N=735)

  • Match check is only for those who replied to these two questions at the end of the survey

    • Age question (drop down list with birth year) - 47 non-responses (8%)
    • Region question (single choice) - 11 non-responses (1.5%)

Fig 4.1: FB ad precision - region

* 1.8% (13 cases) mismatch: 1 Scotland as England, 12 England as Other

Fig 4.2: FB ad precision - age (1)

* some mismatch, but might be due the birth-year question used (age calculated)

FB ad precision - age (2)

Table 1. Facebook adset age vs. age provided by respondents
FB 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 M
18-31 2 6 13 10 19 24 26 14 19 19 23 21 24 27 1 2 0 0 1 0 0 1 0 0 1 1 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 28
32-39 0 0 0 0 0 0 2 0 1 0 0 0 0 4 20 27 28 23 26 30 34 30 0 0 3 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 19
40-65 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 2 5 22 15 11 13 12 5 6 6 5 6 12 4 6 5 5 8 5 4 6 5 4 3 3 6 2 10
Total 2 6 13 10 19 24 28 14 20 19 23 22 24 32 21 29 28 24 27 30 36 36 22 15 15 14 13 5 6 8 5 7 13 4 7 5 5 8 6 4 6 5 4 3 3 6 2 57


  • Age mismatch between Facebook-side data and respondent-provided age:

    • 5% if all counted (34 cases)
    • 3% excluding neighbour ages (24 cases)

  • Yet, overall region and age match by Facebook Ad Manager ‘pretty good’.

Key takeaways & reflections

  • The smaller the sample (e.g. outside England; 61K Poles), more effort and resources needed to recruit respondents (i.e. if FB population is not in millions).

  • If could repeat:

    • started with higher budget
    • added gender as another sampling criterion
  • Probably not targeting well all Poles in the UK:

    • if they did not live in Poland before (e.g. one project colleague never saw the ad, she moved PL -> Swe -> UK)
    • Combine with ‘Language’ for more recent FB users (OR)
  • Questions?

5


How does the Facebook Ad sample compare
to the convenience sample?


Sampling flowchart - whole sample

Survey flow

Sampling flowchart - convenience sample

Survey flow

Sampling flowchart - Facebook sample

Survey flow

Clickers vs. Respondents

  • Clicks on the ad / Traffic to the survey website - demonstrated some interest, but might resign for various reasons

  • Conversions - moved to page 2, gave consent and started the survey:

    • Eligible (after the three screening questions)
    • Respondents:
      • Unit non-response (>40% non-responses to key questions)
      • Reluctant respondents - not fully engaged the survey (<40% non-responses)
      • Engaged respondents - 100% valid responses

Fig.5.1: Survey sample flow

Fig.5.2: Item nonreponse among eligible (%)

Key takeaways & reflections

  • Clickers on the FB side >3K, while Qualtrics Consent page 1.3K - not interested OR decided they do not to qualify

  • FB-ad sampling ‘produced’ more dedicated respondents than convenience sampling

  • Some assessment of the sample quality is in our Blog 1 and 2 here: [https://migrantessentialworkers.com/en/resources/]

  • Full sample validation in terms of representativeness impossible, only when 2021 Census data will be published

  • Questions?

6


Faceook Ad Campaign performance
over time


Faceook Ad Campaign -
changes made to sampling (ughrrr!!!)

  • The original campaign length was 3 weeks / 21 days
    • started with £200 per adset (£1,200)

  • Day 7 revision - switched off sampling women

  • Day 18 revision - reusing remaining funds (£300)
    • sampling among all genders enabled
    • extended campaign into 28 days (4 weeks)
    • extra budget added: England - £25 per adset & Rest - £75 per adset (to increase sample outside England)

  • Day 26 revision - hoping to boost sampling in the short-time
    • Scotland switched-off
    • extra £218 found in the budget and placed into
    • too late? - algorithm has not managed to re-learn

Fig.6.1: Daily reach - all

Fig.6.2: Daily reach - gender

Fig.6.3: Daily reach - by ad set

Fig.6.4: Number of clicks - all

Fig.6.5: Number of clicks - by ad set

Fig.6.6: Cost per click - all

Fig.6.7: Cost per click - by ad set

Fig.6.8: Frequency (Impressions/Reach) - all

  • How often people in the audience seen an ad per day

Fig.6.9: Frequency (Impressions/Reach) - by ad set

Key takeaways & reflections

  • 4 stages of sampling - implications for further data analysis:

    • control as a variable?
    • weighting - use cost-per-day as sampling prob. weights?
  • First stage - most traffic and conversions, more resources added in the final stages have not boosted the number of clicks and respondents

    • audience tired with the ad campaign?
    • all eager to click were ‘used’ at the initial stages?
  • Delays in implementing changes due to managing the survey via the marketing company

  • Questions?

7


Faceook Ad sample
over time


Fig.7.1: Eligible responses over time

Fig.7.2: FB Ad: clicks -> respondents (N)

Fig.7.3: FB Ad: clicks -> respondents (%)

FB sampling by stage

  • Similar % of produced respondents (both reluctant and engaged) - in stages 1-3 (53-54%), but stage 4 - much lower share of ‘ideal respondents’ (29%)

  • Stage 1 more unit non-response / eligible but only viewers (10.3%; highest traffic)

  • Stage 2 highest % of non-consenting clickers (8.8%; sampling only men - harder-to-reach population)

Table 1. Distribution of particppants by type across FB sampling stages
stage_fb . All / Clicks Clicks: No consent No response to elig. Not eligible Unit non-response Reluctant Resondent Engaged Respondent
Stage 1 (1-7) N 697 34.00 65 149 72 64.00 313.00
Stage 1 (1-7) % 100 4.88 9.33 21.38 10.33 9.18 44.91
Stage 2 (8-18) N 318 28.00 23 65 28 34.00 140.00
Stage 2 (8-18) % 100 8.81 7.23 20.44 8.81 10.69 44.03
Stage 3 (19-25) N 254 13.00 29 44 21 32.00 115.00
Stage 3 (19-25) % 100 5.12 11.42 17.32 8.27 12.60 45.28
Stage 4 (26-28) N 89 6.00 19 19 8 11.00 26.00
Stage 4 (26-28) % 100 6.74 21.35 21.35 8.99 12.36 29.21
Total N 1362 82.00 139 277 129 141.00 594.00
Total % 100 6.02 10.21 20.34 9.47 10.35 43.61

Fig.7.4: FB sampling - stage & gender

FB sampling - understanding gender bias

  • Likely that more funds at Stages 3 & 4 resulted in more male ‘Clickers’, but not ‘Respondents’ / conversions

  • Impossible to be sure without gender data being transferred FB -> Qualtrics

  • But we have FB gender data on clicks by gender, so we can see traffic on the FB side

Fig.7.5: Number of clicks - by gender

Fig.7.6: Cost per click - by gender

Fig.7.7: Frequency (Impressions/Reach) - by gender

Fig.7.8: Sampling channel & gender

Key takeaways & reflections

  • Stage 1 - 377 respondents / 50% sample (of which 80% women), stage 2 - 174, stage 3 & 4 - 184

  • More reliable respondents in the first 2 stages

  • The final stages with extra budget - men still clicked, but not converted into respondents at the same rate as women

    • not interested / harder-to-reach?
    • not eligible / not essential workers?
    • more male respondents in Stage 4 - needed more time to convert? A new audience reached?
  • Gender imbalance ‘better’ in FB sampling, in comparison to the convenience - but which one is closer to the population of study?

  • Questions?

8



Summary


Positives

  • Large sample size achieved - N=1,100 in total; 735 via FB Ad (66%).

  • Engaged audience recruited via FB ad:

    • about 80% of FB sample had max. question not answered,
    • many long open-question responses.
  • Collected good experience on how FB Ad Manager works among the Polish community in the UK, especially its effectiveness over time and outside England.

For the next time…

  • Run two different sampling pilots, separate from the main fieldwork

    • e.g. one with the optimization by clicks and another by conversions + Pixel.
  • Maximize resources: shorter survey fieldwork, larger budget and more adsets.

  • Have more control over the survey management and direct access to the FB manager.


Thank you!

Follow us at:

https://twitter.com/MigrEssentWork


Aneta Piekut